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Overview Undergraduate Curriculum Admission Process
MBZUAI

Bachelor of Science in Artificial Intelligence

Bachelor of Science in Artificial Intelligence

Select Your Specialization and Build the Future of AI

MBZUAI’s Undergraduate Program offers two distinct streams—one for those who want to engineer AI solutions and one for those who want to harness AI’s power for business transformation. 

BSc in AI (Engineering)
BSc in AI (Business)
BSc in AI (Engineering)

Master the technical foundations of AI with a curriculum focused on machine learning, neural networks, and intelligent systems. Designed for future AI problem-solvers and innovators. 

  • Develop unmatched technical expertise that sets you apart.
  • Dive into groundbreaking AI applications solving real-world challenges.
  • Innovate with state-of-the-art tools and methodologies designed for impact.

Course Modules

Fall 2025
  • +
    GE 1010 - Entrepreneurship:
    The Founder’s Playbook
    "Entrepreneurship" explores the principles of starting and growing successful ventures, focusing on creative problem-solving, business strategy, and product development. Students will learn to identify opportunities, develop innovative solutions, and navigate the challenges of launching new businesses. The course also examines the role of emerging technologies, including AI, in driving innovation and transforming industries. Through case studies and hands-on projects, students will build practical skills to become effective entrepreneurs in a rapidly evolving business landscape.
  • +
    AI 1120 - Calculus & Linear Algebra:
    The Math that Powers AI
    This course blends theoretical and applied knowledge in both calculus and linear algebra, with an emphasis on AI-specific applications.
  • +
    Computers & the Web:
    Inside & Outside the Machine
    TBA
  • +
    AI 1030 - Python Programming:
    Taming the Potential of Computers
    The course is designed to provide beginners with a solid foundation in Python - one of the most widely-used programming languages. The course will cover the basics of Python syntax, data types, variables, control structures (such as loops and conditionals), and functions, enabling students to write simple yet effective programs. Emphasis is put on hands-on learning, with practical exercises and projects that help students apply concepts in real-world scenarios. By the end of the course, participants will have a strong understanding of Python's core principles and be equipped with the skills to tackle more advanced topics, such as data analysis, web development, or automation.
  • +
    AI 1010 - Thinking Machines:
    Introduction to AI
    The course aims to define artificial intelligence and presenting examples of AI applications to provide historical context for the field's evolution. It then delves into foundational concepts, including search algorithms, and introduction to basic methods of machine learning, computer vision, and natural language processing. The course wraps up with an exploration of the ethical implications of AI and a look at potential future advancements. Hands-on exercises will allow students to apply basic AI techniques, select appropriate technologies for specific problems, and consider design implications. The validation will be most likely via a data challenge long project and oral exams.
Spring 2026
  • +
    GE 1005 - Communications:
    The Power of Words
    "Words" teaches students how to leverage AI tools to enhance their communication skills. Focusing on practical applications, students will explore how AI can improve writing, messaging, presentations, and data visualization. The course covers using AI for content creation, audience analysis, and real-time communication, while also emphasizing the importance of clear, ethical messaging. Students will gain hands-on experience with AI technologies to communicate more effectively in professional and academic contexts.
  • +
    AI 1110 - Probability & Statistics:
    The Math of Uncertainty
    Probability and Statistics covers foundational concepts in probability, statistical analysis, and data modeling with a focus on applications in artificial intelligence. Students will learn to apply probabilistic reasoning, hypothesis testing, regression analysis, and data distributions to real-world AI problems. The course emphasizes the role of statistics in machine learning, predictive modeling, and decision-making processes. Through practical examples and hands-on exercises, students will develop the skills needed to analyze and interpret data in AI contexts.
  • +
    AI 1215 - Machine Learning:
    From Data to Intelligence
    This introductory course provides a foundational understanding of the key concepts, techniques, and applications of machine learning (ML). Designed for beginners, the course covers the basics of supervised, unsupervised, and reinforcement learning, along with an overview of common algorithms, data preprocessing/exploration and model evaluation. Through hands-on exercises and real-world examples, students will gain practical experience in building and deploying simple ML models. By the end of the course, learners will have a solid grasp of the principles driving ML technologies and their transformative impact across industries.
  • +
    AI 1225 - Algorithms and Data Structures:
    The DNA of Great Code
    This course covers the design, analysis, and implementation of fundamental algorithms and data structures, focusing on efficiency and problem-solving techniques.
  • +
    ENG 1010 - Software, Mobile, and Web Development:
    Code Without Limits
    This course introduces students to the fundamentals of software and web development, focusing on designing, building, and deploying applications. Students will learn programming languages, frameworks, and tools essential for creating dynamic and interactive web applications, with an emphasis on integrating AI functionalities.
Fall 2026
  • +
    ENG 2435 - Natural Language Processing:
    The Language of AI
    This introductory course to Natural Language Processing (NLP) and Information Retrieval (IR) provides a foundational understanding of how computers process, analyze, and retrieve human language data. Students will explore key concepts such as tokenization, document indexing / ranking / classification, document indexing and ranking, and word and document embedding methods, while gaining hands-on experience with basic algorithms and tools used in NLP and IR. The course also covers practical applications, including search engines, chatbots, and text classification systems.
  • +
    AI 1250 - Deep Learning & Neural Networks:
    The Brain of AI
    This course provides a comprehensive foundation for understanding the core Deep Learning (DL) concepts, techniques, and applications. DL is an offspring of machine learning that leverages neural networks to model complex patterns in data. Designed for beginners, the course covers essential topics such as neural network architectures, activation functions, backpropagation, and optimization algorithms, while also introducing popular frameworks like PyTorch. . This course serves as an important prerequisite for further exploration into advanced topics in artificial intelligence and its applications.
  • +
    ENG 2010 - DevOps in the Cloud:
    Speed, Automation & Deployment
    This course introduces the principles and practices of DevOps and cloud services, focusing on their application in AI projects. Students will learn about continuous integration/continuous deployment (CI/CD), infrastructure as code (IaC), and cloud service providers like AWS, Azure, and Google Cloud. The course also covers containerization, orchestration, and monitoring of AI applications.
  • +
    BUS 2315 - AI Product Design:
    From Concept to Creation
    This course covers the end-to-end process of designing and developing AI-powered products. Students will learn about user-centered design, prototyping, agile development, and integrating AI technologies into products. Case studies of successful AI-driven products will be analyzed.
  • General Education Elective
Spring 2027
  • +
    BUS 2010 - Project Management:
    From Vision to Execution
    This course covers core project management principles with a focus on AI-driven projects. Students will learn how to apply traditional and agile methodologies to plan, execute, and monitor projects involving AI technologies. The course explores AI-specific challenges, such as data management, ethical concerns, and team dynamics, while introducing AI tools for decision-making, performance tracking, and risk management. Students will gain practical skills for leading successful AI-related projects in various industries.
  • +
    ENG 2410 - Generative AI:
    Machines That Create
    This introductory course on Generative AI and Foundation Models provides a comprehensive overview of the methods and techniques driving modern AI systems capable of generating data such as text, images, sounds, graphs and other data types. Participants will explore the core principles behind generative models, including advanced transformer architectures, diffusion models, and autoregressive techniques, as well as their applications in natural language processing, computer vision, and beyond. The course emphasizes hands-on learning, enabling students to understand and implement state-of-the-art methods while critically evaluating their ethical implications and limitations. This course is ideal for those seeking to harness the power of generative AI while understanding its methodological and ethical dimensions.
  • +
    GE 2005 - The Emirati Spirit:
    From Deep Roots to a Bold Future
    This course provides students with a comprehensive understanding of the United Arab Emirates' (UAE) history, culture, society, and political system. It explores the UAE's transformation from a traditional society to a modern, globally connected nation. Topics include the UAE's governance, economic development, cultural heritage, and role in regional and international affairs. The course also examines the values of tolerance, sustainability, and innovation that underpin the UAE's vision for the future. Through lectures, discussions, and projects, students will gain a deeper appreciation of the UAE's unique identity and its contributions to the global community.
  • Business Elective
  • AI/Engineering Elective or General Education Elective
Summer 2027
  • +
    AI 2990 - Internship Experience:
    Real-World Readiness
    This internship provides students with hands-on experience in applying AI technologies in real-world settings. Students will work with industry partners or research labs to solve practical problems, gain professional skills, and explore career opportunities in AI.
Fall 2027
  • +
    ENG 3010 - Data Science:
    From Numbers to Knowledge
    This course introduces students to the fundamentals of data science and data mining, focusing on techniques for extracting meaningful patterns and insights from large datasets. Topics include data preprocessing, clustering, classification, association rule mining, and anomaly detection. Students will gain hands-on experience using tools like Python, R, and SQL to analyze real-world datasets and solve complex problems.
  • AI/Engineering Elective
  • AI/Engineering Elective
  • General Education Elective
Spring 2028
  • +
    ENG 3310 - Reinforcement Learning:
    The Science Behind Self-Learning AI
    This course introduces students to the principles and algorithms of reinforcement learning (RL), a subfield of artificial intelligence focused on training agents to make sequential decisions in dynamic environments. Topics include Markov Decision Processes (MDPs), value functions, policy optimization, Q-learning, deep reinforcement learning, and applications in robotics, gaming, and autonomous systems.
  • Engineering Elective
  • General Education Elective
  • Engineering Elective or General Education Elective
Fall 2028
  • +
    AI 4990 - Cooperative Education (Co-Op) 1
    Experience real world industry or academic experience working at a company, startup, or research lab.
Spring 2029
  • +
    AI 4995 - Cooperative Education (Co-Op) 2
    Experience real world industry or academic experience working at a company, startup, or research lab.

Electives

AI Electives
  • +
    ENG 2405 - Prompt Engineering:
    Optimizing AI Responses
    This course introduces students to the practical use of AI tools and the art of prompt engineering, enabling them to effectively interact with and leverage generative AI models like ChatGPT, DALL·E, and other large language models (LLMs). Students will learn how to craft precise prompts, optimize AI outputs, and apply these tools across various domains, including content creation, problem-solving, and automation.
  • +
    ENG 2335 - Computer Vision:
    Machines that See
    This course introduces the fundamental concepts and techniques of computer vision, a key area of artificial intelligence. Students will learn about image processing, feature extraction, object detection, and image classification. The course covers both traditional methods and modern deep learning approaches, including convolutional neural networks (CNNs) and vision transformers. Practical applications in industries such as healthcare, automotive, and retail will be explored through hands-on projects.
  • +
    ENG 2445 - Robotics:
    Rise of the Machines
    This is an introductory course that provides a comprehensive overview of the fundamental concepts, systems, and applications of robotics, including robot design, programming, control systems, and sensing. Students will explore the various types of robots, their components, and their applications in industrial and non-industrial settings. The course also delves into the latest advancements in robotics, such as robotic planning, dynamic control, and human-robot interaction.
  • +
    ENG 2330 - Web Scraping & Data Mining:
    The Data Gold Rush
    This course provides a comprehensive introduction to web scraping and data mining techniques. Students will learn how to extract, clean, and analyze data from the web using various tools and libraries. The course covers data mining algorithms, data preprocessing, and the ethical considerations of web scraping. Practical applications in AI and machine learning contexts are emphasized.
  • +
    ENG 2510 - Speech Recognition & Synthesis:
    Talking to Machines
    This course delves into the technologies and algorithms behind speech recognition and synthesis. Students will explore acoustic modeling, language modeling, and speech signal processing. The course also covers the development of speech-enabled applications and the integration of speech technologies into AI systems. Practical labs and projects will reinforce theoretical concepts.
  • +
    ENG 2440 - Medical Imaging and AI Healthcare:
    Algorithms that Save Lives
    This course focuses on the application of artificial intelligence in the healthcare sector. Students will learn how AI is being used to improve patient outcomes, streamline healthcare operations, and advance medical research. Topics include AI-driven diagnostics, personalized medicine, predictive analytics for patient care, and the use of AI in drug discovery. The course will also address the ethical considerations and regulatory challenges associated with AI in healthcare.
  • Reinforcement Learning
  • LLM Engineering
  • Multimodal Generative AI
  • 3D Vision and Mixed Reality
  • Speech Recognition & Synthesis
Engineering Electives
  • +
    ENG 3420 - Big Data:
    Taming the Data Tsunami
    This course provides an in-depth understanding of big data technologies and their role in AI systems. Students will learn about data collection, storage, processing, and analysis techniques for large-scale datasets. Topics include distributed computing frameworks (e.g., Spark), data mining, and machine learning on big data. The course also covers challenges such as scalability, data quality, and real-time processing.
  • +
    ENG 2420 - Data Communication & Networks:
    Connecting the Digital World
    This course covers the principles of data communication and computer networks, including protocols, architectures, and security. Students will explore how data is transmitted, routed, and secured across networks, with a focus on supporting AI-driven applications and IoT systems.
  • +
    ENG 2325 - Databases:
    Organizing, Storing & Scaling Data
    The course provides a foundational understanding of how data is organized, stored, searched and managed in digital systems. Students will use frameworks such as Pandas and SQLAlchemy, to efficiently handle, analyze, and manipulate data. Students will learn how to work with Pandas data structures like DataFrames and Series to clean, transform, and analyze datasets, as well as how to connect Python to databases for seamless data integration. The course also covers essential database concepts, including relational models, SQL queries, and data normalization.
  • +
    ENG 2310 - Creator’s Toolkit:
    Multimedia Production & Design
    This course focuses on the creation and manipulation of multimedia content, including graphics, audio, and video. Students will learn tools and techniques for designing engaging multimedia experiences, with an emphasis on AI-driven content generation and enhancement.
  • +
    ENG 2430 - Data Visualization:
    From Data to Decisions
    This course teaches students how to effectively visualize and interpret data using graphical tools and techniques. Emphasis is placed on creating visual representations of complex datasets, including those generated by AI systems, to support decision-making and storytelling.
  • +
    ENG 2315 - Human-Computer Interaction:
    Designing User-Friendly Systems
    Human-Computer Interaction (HCI) is the study of how people interact with computers and how to design technology that is both user-friendly and effective. This course explores the principles, methods, and techniques used to design, implement, and evaluate interactive systems. Students will learn about user-centered design, usability testing, and the latest trends in HCI, including virtual reality, augmented reality, and mobile interfaces. The course combines theoretical foundations with practical applications, enabling students to design intuitive and engaging user experiences.
  • +
    GE 2312 - Data Privacy & Security:
    Safeguarding Information in the Digital Age
    This course focuses on the principles and practices of data privacy and security in the context of AI and data-driven systems. Students will learn about encryption, access control, anonymization, and secure data storage. The course also covers regulatory requirements such as GDPR and CCPA, as well as ethical considerations for protecting sensitive data. Practical exercises will include designing secure AI systems and responding to data breaches.
  • +
    GE 3612 - Spatial Computing & Extended Reality:
    Building the Metaverse
    This course explores the intersection of computer vision, 3D graphics, and mixed reality (MR). Topics include 3D reconstruction, depth sensing, augmented reality (AR), virtual reality (VR), and the integration of AI with MR technologies for applications in gaming, healthcare, and education.
  • +
    GE 2514 - AI for Scientific Discovery:
    From Data to Breakthroughs
    This course examines the transformative role of artificial intelligence in scientific research and discovery. Students will explore how AI is being used to accelerate research in fields such as physics, chemistry, biology, and environmental science. The course will cover topics such as AI-driven data analysis, simulation and modeling, and the use of AI in hypothesis generation and experimental design. Students will also discuss the ethical implications of AI in scientific research and the potential for AI to democratize access to scientific knowledge.
Business Electives
  • +
    BUS 3310 - AI & FinTech:
    The Digital Revolution in Banking & Investment
    This course explores the intersection of artificial intelligence (AI) and financial technology (FinTech), focusing on how AI is transforming the financial services industry. Students will learn about AI-driven applications such as algorithmic trading, fraud detection, credit scoring, robo-advisors, and blockchain integration. The course also covers the ethical, regulatory, and societal implications of AI in finance.
  • +
    GE 2412 - Policy & the Future of Society:
    Governing with AI
    This course introduces students to the tools and methods used to evaluate and formulate public policies. Topics include policy design, impact assessment, and decision-making processes. The course explores the growing role of AI in public policy, particularly in data analysis, predictive modeling, and automated decision-making. Students will examine how AI technologies are transforming policy analysis, enhancing the ability to predict outcomes and optimize solutions for complex societal challenges.
  • +
    BUS 2310 - E-Commerce:
    Designing, Launching & Scaling Digital Marketplaces
    This course provides a comprehensive introduction to the principles, strategies, and tools of e-commerce and digital marketing in the modern business environment. Students will explore the dynamics of online business models, digital marketing channels, and the integration of technology to drive customer engagement and sales. Topics include e-commerce platforms, search engine optimization (SEO), social media marketing, content marketing, email marketing, analytics, and the legal and ethical considerations of digital business. Through case studies, hands-on projects, and real-world applications, students will develop the skills necessary to design, implement, and manage effective e-commerce and digital marketing campaigns.
  • +
    BUS 3320 - Supply Chain:
    Reducing Costs & Maximizing Speed using AI
    This course explores the application of artificial intelligence techniques to optimize supply chain operations. Students will learn how to use machine learning, optimization algorithms, and predictive analytics to improve demand forecasting, inventory management, logistics, and production planning.
General Education Electives
  • +
    GE 2510 - AI in Psychology & Cognition:
    Human vs Artificial Intelligence
    This course explores the principles of human cognition, including perception, memory, learning, and decision-making. Students will examine how these cognitive processes shape behavior and mental function. The course also compares human cognition with AI systems, highlighting differences in learning, problem-solving, and information processing. By analyzing the strengths and limitations of both, students will gain insights into how AI mimics, complements, and contrasts with human cognitive abilities in various contexts.
  • +
    GE 2512 - AI for Sustainable Living:
    Smarter Cities & Greener Future
    This course examines the role of AI in the development of smart cities. Topics include urban data analytics, intelligent transportation systems, energy management, and public safety. Students will learn how AI technologies can be leveraged to improve urban living conditions and sustainability. Case studies and real-world projects will be used to illustrate the application of AI in smart city contexts.
  • +
    GE 2310 - Philosophy in the Age of AI:
    Minds, Machines & Morality
    This courseexplores fundamental questions about existence, knowledge, morality, and human nature. Students will engage with key philosophical traditions and ethical theories, analyzing concepts such as justice, rights, and the nature of good. The course also examines the ethical implications of artificial intelligence, including issues of autonomy, privacy, and bias in AI systems. Through discussion and critical thinking, students will consider how AI challenges traditional ethical frameworks and shapes modern philosophy.
  • +
    GE 2410 - AI & Politics:
    Power, Policy, and the Future of Governance
    This course provides a foundational understanding of political systems, governance, political theory, and public policy. Students will explore key concepts such as power, democracy, and political behavior, along with the structure of governments and international relations. Consideration is given to how AI is reshaping political campaigns, governance, and public opinion in the digital age.
  • +
    GE 2610 - Digital Humanities:
    Exploring Culture Through Technology
    This course explores the intersection of technology and the humanities, focusing on how digital and artificial intelligence tools and methods can enhance research in fields like literature, history, and philosophy. Students will learn to analyze and visualize textual, historical, and cultural data using digital technologies. The course includes natural language processing, machine learning, and data mining to uncover new insights and patterns in human culture and historical records.

Career Professions for Bachelor of Science in AI (Engineering) Graduates

Designed for those who want to be the next AI pioneer, this program prepares you for technical excellence in artificial intelligence, machine learning, and advanced computing.

Potential roles:

  • AI/ML Engineer
  • Robotics Engineer
  • Data Scientist
  • Software Engineer
  • DevOps Specialist
  • Fintech/Sustainability Engineer
Period of Study 3 Years + 1 Year Industry Placement
Credit Points 120
Program Intake Fall / August 2025
Admissions Open Now
How to Apply View Admission Process
BSc in AI (Engineering)

Harness the power of AI in business, strategy, and decision-making. This program equips future leaders with AI-driven insights to transform industries—or start their own.

  • Learn to integrate AI into business operations and strategies.
  • Solve complex challenges with innovative and data-driven approaches.
  • Build a solid technical and strategical foundation to navigate the AI-driven economy.

Course Modules

Fall 2025
  • +
    GE 1005 - Communications:
    The Power of Words
    "Words" teaches students how to leverage AI tools to enhance their communication skills. Focusing on practical applications, students will explore how AI can improve writing, messaging, presentations, and data visualization. The course covers using AI for content creation, audience analysis, and real-time communication, while also emphasizing the importance of clear, ethical messaging. Students will gain hands-on experience with AI technologies to communicate more effectively in professional and academic contexts.
  • +
    BUS 1010 - Economics:
    Understanding Markets & Money
    Markets & Money introduces fundamental economic concepts, including supply and demand, market structures, and government policies. Students will explore how economic decisions are made at individual, business, and governmental levels. The course also examines the impact of emerging technologies, such as AI, on labor markets, productivity, and economic growth. Through real-world examples and analytical tools, students will gain a solid understanding of economic theory and its application in today's technology-driven global economy.
  • +
    AI 1110 - Probability & Statistics:
    The Math of Uncertainty
    Probability and Statistics covers foundational concepts in probability, statistical analysis, and data modeling with a focus on applications in artificial intelligence. Students will learn to apply probabilistic reasoning, hypothesis testing, regression analysis, and data distributions to real-world AI problems. The course emphasizes the role of statistics in machine learning, predictive modeling, and decision-making processes. Through practical examples and hands-on exercises, students will develop the skills needed to analyze and interpret data in AI contexts.
  • +
    AI 1030 - Python Programming:
    Taming the Potential of Computers
    The course is designed to provide beginners with a solid foundation in Python - one of the most widely-used programming languages. The course will cover the basics of Python syntax, data types, variables, control structures (such as loops and conditionals), and functions, enabling students to write simple yet effective programs. Emphasis is put on hands-on learning, with practical exercises and projects that help students apply concepts in real-world scenarios. By the end of the course, participants will have a strong understanding of Python's core principles and be equipped with the skills to tackle more advanced topics, such as data analysis, web development, or automation.
  • +
    AI 1010 - Thinking Machines:
    Introduction to AI
    The course aims to define artificial intelligence and presenting examples of AI applications to provide historical context for the field's evolution. It then delves into foundational concepts, including search algorithms, and introduction to basic methods of machine learning, computer vision, and natural language processing. The course wraps up with an exploration of the ethical implications of AI and a look at potential future advancements. Hands-on exercises will allow students to apply basic AI techniques, select appropriate technologies for specific problems, and consider design implications. The validation will be most likely via a data challenge long project and oral exams.
Spring 2026
  • +
    AI 1120 - Calculus & Linear Algebra:
    The Math that Powers AI
    This course blends theoretical and applied knowledge in both calculus and linear algebra, with an emphasis on AI-specific applications.
  • +
    AI 1215 - Machine Learning:
    From Data to Intelligence
    This introductory course provides a foundational understanding of the key concepts, techniques, and applications of machine learning (ML). Designed for beginners, the course covers the basics of supervised, unsupervised, and reinforcement learning, along with an overview of common algorithms, data preprocessing/exploration and model evaluation. Through hands-on exercises and real-world examples, students will gain practical experience in building and deploying simple ML models. By the end of the course, learners will have a solid grasp of the principles driving ML technologies and their transformative impact across industries.
  • +
    GE 1010 - Entrepreneurship:
    The Founder’s Playbook
    "Entrepreneurship" explores the principles of starting and growing successful ventures, focusing on creative problem-solving, business strategy, and product development. Students will learn to identify opportunities, develop innovative solutions, and navigate the challenges of launching new businesses. The course also examines the role of emerging technologies, including AI, in driving innovation and transforming industries. Through case studies and hands-on projects, students will build practical skills to become effective entrepreneurs in a rapidly evolving business landscape.
  • +
    Finance & Accounting:
    Mastering Business Finances
    This course offers a hands-on introduction to the core financial and accounting concepts essential for building, leading, and scaling innovative companies. Blending two traditionally separate fields into one practical and intuitive learning experience, students will gain the skills needed to both understand a company’s current financial position and plan for its future growth. Students will learn how to read and create fundamental financial documents, including balance sheets, income statements, and cash flow statements, to answer the critical question: “What is the company’s current financial situation?” These tools provide the foundation for understanding how money moves through a business and where value is being created or lost. On the finance side, students will explore startup and business fundamentals such as burn rate, valuation, budgeting, and investment strategies—ultimately answering: “How much money does the company need, and how can it generate more?” Through real-world examples and interactive exercises, students will analyze unit economics, project cash runway, and simulate decision-making scenarios around fundraising and growth.
  • +
    Computers & the Web:
    Inside & Outside the Machine
    TBA
Fall 2026
  • +
    BUS 2010 - Project Management:
    From Vision to Execution
    This course covers core project management principles with a focus on AI-driven projects. Students will learn how to apply traditional and agile methodologies to plan, execute, and monitor projects involving AI technologies. The course explores AI-specific challenges, such as data management, ethical concerns, and team dynamics, while introducing AI tools for decision-making, performance tracking, and risk management. Students will gain practical skills for leading successful AI-related projects in various industries.
  • +
    ENG 1010 - Software, Mobile, and Web Development:
    Code Without Limits
    This course introduces students to the fundamentals of software and web development, focusing on designing, building, and deploying applications. Students will learn programming languages, frameworks, and tools essential for creating dynamic and interactive web applications, with an emphasis on integrating AI functionalities.
  • +
    GE 2005 - The Emirati Spirit:
    From Deep Roots to a Bold Future
    This course provides students with a comprehensive understanding of the United Arab Emirates' (UAE) history, culture, society, and political system. It explores the UAE's transformation from a traditional society to a modern, globally connected nation. Topics include the UAE's governance, economic development, cultural heritage, and role in regional and international affairs. The course also examines the values of tolerance, sustainability, and innovation that underpin the UAE's vision for the future. Through lectures, discussions, and projects, students will gain a deeper appreciation of the UAE's unique identity and its contributions to the global community.
  • +
    Business Strategy:
    Crafting Competitive Advantage
    TBA
  • AI/Engineering Elective
Spring 2027
  • +
    BUS 2015 - Teamwork & Leadership:
    Building High-Performance Teams
    This course explores essential principles of effective teamwork, leadership styles, communication, and conflict resolution. Students will learn strategies for building collaborative, high-performing teams and developing leadership skills across diverse environments. The course also examines the role of AI in enhancing team dynamics, decision-making, and leadership processes, including the use of AI tools for team management, performance analysis, and problem-solving. Practical case studies and interactive activities will prepare students for leadership in a technology-driven world.
  • +
    AI 1250 - Deep Learning & Neural Networks:
    The Brain of AI
    This course provides a comprehensive foundation for understanding the core Deep Learning (DL) concepts, techniques, and applications. DL is an offspring of machine learning that leverages neural networks to model complex patterns in data. Designed for beginners, the course covers essential topics such as neural network architectures, activation functions, backpropagation, and optimization algorithms, while also introducing popular frameworks like PyTorch. . This course serves as an important prerequisite for further exploration into advanced topics in artificial intelligence and its applications.
  • +
    Marketing & Public Relations:
    Building Brands & Driving Influence
    TBA
  • General Education Elective
  • Engineering, Business or General Education Elective
Summer 2027
  • +
    AI 2990 - Internship Experience:
    Real-World Readiness
    This internship provides students with hands-on experience in applying AI technologies in real-world settings. Students will work with industry partners or research labs to solve practical problems, gain professional skills, and explore career opportunities in AI.
Fall 2027
  • +
    BUS 2315 - AI Product Design:
    From Concept to Creation
    This course covers the end-to-end process of designing and developing AI-powered products. Students will learn about user-centered design, prototyping, agile development, and integrating AI technologies into products. Case studies of successful AI-driven products will be analyzed.
  • AI/Engineering Elective
  • Business Elective
  • General Education Elective
Spring 2028
  • +
    GE 2314 - Ethics & Law in AI:
    Responsible Innovation in Business & Tech
    This course explores the legal, ethical, and societal implications of artificial intelligence in business contexts. Students will examine regulatory frameworks, ethical dilemmas, and accountability issues surrounding AI deployment. Topics include bias in AI, intellectual property, data protection laws, and the ethical use of AI in decision-making. Case studies and real-world scenarios will be used to analyze the challenges and responsibilities of implementing AI in business.
  • AI/Engineering Elective
  • Business Elective
  • General Education Elective
Fall 2028
  • +
    AI 4990 - Cooperative Education (Co-Op) 1
    Experience real world industry or academic experience working at a company, startup, or research lab.
Spring 2029
  • +
    AI 4995 - Cooperative Education (Co-Op) 2
    Experience real world industry or academic experience working at a company, startup, or research lab.

Electives

AI Electives
  • +
    ENG 2405 - Prompt Engineering:
    Optimizing AI Responses
    This course introduces students to the practical use of AI tools and the art of prompt engineering, enabling them to effectively interact with and leverage generative AI models like ChatGPT, DALL·E, and other large language models (LLMs). Students will learn how to craft precise prompts, optimize AI outputs, and apply these tools across various domains, including content creation, problem-solving, and automation.
  • +
    ENG 2335 - Computer Vision:
    Machines that See
    This course introduces the fundamental concepts and techniques of computer vision, a key area of artificial intelligence. Students will learn about image processing, feature extraction, object detection, and image classification. The course covers both traditional methods and modern deep learning approaches, including convolutional neural networks (CNNs) and vision transformers. Practical applications in industries such as healthcare, automotive, and retail will be explored through hands-on projects.
  • +
    ENG 2445 - Robotics:
    Rise of the Machines
    This is an introductory course that provides a comprehensive overview of the fundamental concepts, systems, and applications of robotics, including robot design, programming, control systems, and sensing. Students will explore the various types of robots, their components, and their applications in industrial and non-industrial settings. The course also delves into the latest advancements in robotics, such as robotic planning, dynamic control, and human-robot interaction.
  • +
    ENG 2330 - Web Scraping & Data Mining:
    The Data Gold Rush
    This course provides a comprehensive introduction to web scraping and data mining techniques. Students will learn how to extract, clean, and analyze data from the web using various tools and libraries. The course covers data mining algorithms, data preprocessing, and the ethical considerations of web scraping. Practical applications in AI and machine learning contexts are emphasized.
  • +
    ENG 2510 - Speech Recognition & Synthesis:
    Talking to Machines
    This course delves into the technologies and algorithms behind speech recognition and synthesis. Students will explore acoustic modeling, language modeling, and speech signal processing. The course also covers the development of speech-enabled applications and the integration of speech technologies into AI systems. Practical labs and projects will reinforce theoretical concepts.
  • +
    ENG 2440 - Medical Imaging and AI Healthcare:
    Algorithms that Save Lives
    This course focuses on the application of artificial intelligence in the healthcare sector. Students will learn how AI is being used to improve patient outcomes, streamline healthcare operations, and advance medical research. Topics include AI-driven diagnostics, personalized medicine, predictive analytics for patient care, and the use of AI in drug discovery. The course will also address the ethical considerations and regulatory challenges associated with AI in healthcare.
  • Reinforcement Learning
  • LLM Engineering
  • Multimodal Generative AI
  • 3D Vision and Mixed Reality
  • Speech Recognition & Synthesis
Engineering Electives
  • +
    ENG 3420 - Big Data:
    Taming the Data Tsunami
    This course provides an in-depth understanding of big data technologies and their role in AI systems. Students will learn about data collection, storage, processing, and analysis techniques for large-scale datasets. Topics include distributed computing frameworks (e.g., Spark), data mining, and machine learning on big data. The course also covers challenges such as scalability, data quality, and real-time processing.
  • +
    ENG 2420 - Data Communication & Networks:
    Connecting the Digital World
    This course covers the principles of data communication and computer networks, including protocols, architectures, and security. Students will explore how data is transmitted, routed, and secured across networks, with a focus on supporting AI-driven applications and IoT systems.
  • +
    ENG 2325 - Databases:
    Organizing, Storing & Scaling Data
    The course provides a foundational understanding of how data is organized, stored, searched and managed in digital systems. Students will use frameworks such as Pandas and SQLAlchemy, to efficiently handle, analyze, and manipulate data. Students will learn how to work with Pandas data structures like DataFrames and Series to clean, transform, and analyze datasets, as well as how to connect Python to databases for seamless data integration. The course also covers essential database concepts, including relational models, SQL queries, and data normalization.
  • +
    ENG 2310 - Creator’s Toolkit:
    Multimedia Production & Design
    This course focuses on the creation and manipulation of multimedia content, including graphics, audio, and video. Students will learn tools and techniques for designing engaging multimedia experiences, with an emphasis on AI-driven content generation and enhancement.
  • +
    ENG 2430 - Data Visualization:
    From Data to Decisions
    This course teaches students how to effectively visualize and interpret data using graphical tools and techniques. Emphasis is placed on creating visual representations of complex datasets, including those generated by AI systems, to support decision-making and storytelling.
  • +
    ENG 2315 - Human-Computer Interaction:
    Designing User-Friendly Systems
    Human-Computer Interaction (HCI) is the study of how people interact with computers and how to design technology that is both user-friendly and effective. This course explores the principles, methods, and techniques used to design, implement, and evaluate interactive systems. Students will learn about user-centered design, usability testing, and the latest trends in HCI, including virtual reality, augmented reality, and mobile interfaces. The course combines theoretical foundations with practical applications, enabling students to design intuitive and engaging user experiences.
  • +
    GE 2312 - Data Privacy & Security:
    Safeguarding Information in the Digital Age
    This course focuses on the principles and practices of data privacy and security in the context of AI and data-driven systems. Students will learn about encryption, access control, anonymization, and secure data storage. The course also covers regulatory requirements such as GDPR and CCPA, as well as ethical considerations for protecting sensitive data. Practical exercises will include designing secure AI systems and responding to data breaches.
  • +
    GE 3612 - Spatial Computing & Extended Reality:
    Building the Metaverse
    This course explores the intersection of computer vision, 3D graphics, and mixed reality (MR). Topics include 3D reconstruction, depth sensing, augmented reality (AR), virtual reality (VR), and the integration of AI with MR technologies for applications in gaming, healthcare, and education.
  • +
    GE 2514 - AI for Scientific Discovery:
    From Data to Breakthroughs
    This course examines the transformative role of artificial intelligence in scientific research and discovery. Students will explore how AI is being used to accelerate research in fields such as physics, chemistry, biology, and environmental science. The course will cover topics such as AI-driven data analysis, simulation and modeling, and the use of AI in hypothesis generation and experimental design. Students will also discuss the ethical implications of AI in scientific research and the potential for AI to democratize access to scientific knowledge.
Business Electives
  • +
    BUS 3310 - AI & FinTech:
    The Digital Revolution in Banking & Investment
    This course explores the intersection of artificial intelligence (AI) and financial technology (FinTech), focusing on how AI is transforming the financial services industry. Students will learn about AI-driven applications such as algorithmic trading, fraud detection, credit scoring, robo-advisors, and blockchain integration. The course also covers the ethical, regulatory, and societal implications of AI in finance.
  • +
    GE 2412 - Policy & the Future of Society:
    Governing with AI
    This course introduces students to the tools and methods used to evaluate and formulate public policies. Topics include policy design, impact assessment, and decision-making processes. The course explores the growing role of AI in public policy, particularly in data analysis, predictive modeling, and automated decision-making. Students will examine how AI technologies are transforming policy analysis, enhancing the ability to predict outcomes and optimize solutions for complex societal challenges.
  • +
    BUS 2310 - E-Commerce:
    Designing, Launching & Scaling Digital Marketplaces
    This course provides a comprehensive introduction to the principles, strategies, and tools of e-commerce and digital marketing in the modern business environment. Students will explore the dynamics of online business models, digital marketing channels, and the integration of technology to drive customer engagement and sales. Topics include e-commerce platforms, search engine optimization (SEO), social media marketing, content marketing, email marketing, analytics, and the legal and ethical considerations of digital business. Through case studies, hands-on projects, and real-world applications, students will develop the skills necessary to design, implement, and manage effective e-commerce and digital marketing campaigns.
  • +
    BUS 3320 - Supply Chain:
    Reducing Costs & Maximizing Speed using AI
    This course explores the application of artificial intelligence techniques to optimize supply chain operations. Students will learn how to use machine learning, optimization algorithms, and predictive analytics to improve demand forecasting, inventory management, logistics, and production planning.
General Education Electives
  • +
    GE 2510 - AI in Psychology & Cognition:
    Human vs Artificial Intelligence
    This course explores the principles of human cognition, including perception, memory, learning, and decision-making. Students will examine how these cognitive processes shape behavior and mental function. The course also compares human cognition with AI systems, highlighting differences in learning, problem-solving, and information processing. By analyzing the strengths and limitations of both, students will gain insights into how AI mimics, complements, and contrasts with human cognitive abilities in various contexts.
  • +
    GE 2512 - AI for Sustainable Living:
    Smarter Cities & Greener Future
    This course examines the role of AI in the development of smart cities. Topics include urban data analytics, intelligent transportation systems, energy management, and public safety. Students will learn how AI technologies can be leveraged to improve urban living conditions and sustainability. Case studies and real-world projects will be used to illustrate the application of AI in smart city contexts.
  • +
    GE 2310 - Philosophy in the Age of AI:
    Minds, Machines & Morality
    This courseexplores fundamental questions about existence, knowledge, morality, and human nature. Students will engage with key philosophical traditions and ethical theories, analyzing concepts such as justice, rights, and the nature of good. The course also examines the ethical implications of artificial intelligence, including issues of autonomy, privacy, and bias in AI systems. Through discussion and critical thinking, students will consider how AI challenges traditional ethical frameworks and shapes modern philosophy.
  • +
    GE 2410 - AI & Politics:
    Power, Policy, and the Future of Governance
    This course provides a foundational understanding of political systems, governance, political theory, and public policy. Students will explore key concepts such as power, democracy, and political behavior, along with the structure of governments and international relations. Consideration is given to how AI is reshaping political campaigns, governance, and public opinion in the digital age.
  • +
    GE 2610 - Digital Humanities:
    Exploring Culture Through Technology
    This course explores the intersection of technology and the humanities, focusing on how digital and artificial intelligence tools and methods can enhance research in fields like literature, history, and philosophy. Students will learn to analyze and visualize textual, historical, and cultural data using digital technologies. The course includes natural language processing, machine learning, and data mining to uncover new insights and patterns in human culture and historical records.

Career Professions for Bachelor of Science in AI (Business) Graduates

For future leaders looking to be the next visionary in AI-driven business transformation, this program provides the tools to lead, innovate, and build the future of AI in industries worldwide.

Potential roles:

  • Tech Startup Founder
  • AI Business Consultant
  • AI Product Manager
  • AI Lead in Government
  • AI Film/Game Designer
  • AI Entrepreneur
Period of Study 3 Years + 1 Year Industry Placement
Credit Points 120
Program Intake Fall / August 2025
Admissions Open Now
How to Apply View Admission Process
Application Deadline: 31st May 2025

Alumni Spotlight

“MBZUAI propelled my growth as a Machine Learning Engineer, fast-tracking my career.

It led to an internship at Snap Inc., a PhD offer from ETH Zurich, and a full-time job offer back from Snap, which I ended up taking. I now work with them in London, building Generative AI pipelines and developing new AR tools for Snapchat users.

I played a key role in developing a community AI lens creation tool—already used to generate thousands of AI lenses called “SnapAI”, racking up hundreds of millions of views in six months after its release.”

Maksym Bekuzarov
Snap Inc.

Maksym Bekuzarov, Snap Inc.

Abu Dhabi: A Global AI Hub

Study in one of the world’s most advanced AI cities, ranked the safest city globally and home to leading AI innovation. 

Study in Innovative Abu Dhabi

Study in Innovative Abu Dhabi

Abu Dhabi is a global leader in AI and technology, with a strong focus on innovation and research. With cutting-edge advancements in AI, robotics, and future industries, Abu Dhabi is shaping the next generation of tech-driven professionals in a city designed for innovation.

Live in Vibrant Abu Dhabi

Live in Vibrant Abu Dhabi

Abu Dhabi offers a mix of adventure and modern convenience. Experience high-speed thrills at Ferrari World and the F1 circuit, catch waves at Surf Abu Dhabi, or enjoy the great outdoors with plenty of hiking, scuba diving, and camping options nearby.

A Pioneering Campus

A Pioneering Campus

MBZUAI’s campus is located in Masdar City, a pioneering sustainable urban community that serves as a world-class technology hub.

The World’s Safest City

The World’s Safest City

Abu Dhabi has been ranked the safest city in the world for 9 years in a row (Numbeo) – so you will feel at ease wherever you choose to spend your spare time.

Welcoming, Multicultural Community

A Welcoming, Multicultural Community

sThe city has top restaurants, busy markets, and a safe, welcoming environment, making it a great place to live and explore.

Study in Innovative Abu Dhabi

Abu Dhabi is a global leader in AI and technology, with a strong focus on innovation and research. With cutting-edge advancements in AI, robotics, and future industries, Abu Dhabi is shaping the next generation of tech-driven professionals in a city designed for innovation.

Live in Vibrant Abu Dhabi

Abu Dhabi offers a mix of adventure and modern convenience. Experience high-speed thrills at Ferrari World and the F1 circuit, catch waves at Surf Abu Dhabi, or enjoy the great outdoors with plenty of hiking, scuba diving, and camping options nearby.

A Pioneering Campus

MBZUAI’s campus is located in Masdar City, a pioneering sustainable urban community that serves as a world-class technology hub.

The World’s Safest City

Abu Dhabi has been ranked the safest city in the world for 9 years in a row (Numbeo) – so you will feel at ease wherever you choose to spend your spare time.

A Welcoming, Multicultural Community

The city has top restaurants, busy markets, and a safe, welcoming environment, making it a great place to live and explore.

MBZUAI is where AI excellence lives and the future is built

MBZUAI’s Bachelor of Science in Artificial Intelligence is a first-of-its kind AI degree, designed for those who want to lead, innovate, and push boundaries.

Study with world-leading AI scholars and innovators

Study with world-leading AI scholars and innovators

Ranked top 10 globally in AI Research (CSRankings)

Ranked top 10 globally in AI Research (CSRankings)

Up to 100% Scholarship

Up to 100% Scholarship

Bachelor of Science in Artificial Intelligence

Whether you're passionate about engineering breakthrough AI models or leveraging AI to transform industries, this program provides the skills, networks, and experiences to make an impact from day one. 

Download Program Brochure
Download Program Brochure

Frequently Asked Questions

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When does the Fall 2025 semester start? The Fall 2025 semester begins in mid-August, with Orientation Week starting on August 11 and official enrollment beginning on August 18.

What is the application deadline? The final deadline is May 31, 2025, with decisions announced by June 20, 2025. Applications are reviewed on a rolling basis, so early submission is encouraged.

Who can I contact for more information about the undergraduate programs? For inquiries, please email ai.ug@mbzuai.ac.ae.

Is there an age limit to apply? No, there is no age limit.

Is there an application fee? No, there is no application fee.

What are the English proficiency requirements? If you attended an English-medium school, no test is required. If you attended a non-English-medium school, you must submit one of the following: IELTS (minimum 6.5 overall), TOEFL (minimum 79), PTE (59), or Duolingo (minimum 110).

Can I apply without an IELTS/TOEFL score? Yes, you can apply, but you must submit the English language certfiicate at some stage during the admissions process in order to complete it.

Is Duolingo, PTE accepted for English Language Proficiency? If so, what are the requirements? Yes, we accept Duolingo (minimum score 110) as proof of English language proficiency. However, PTE, IELTS, and TOEFL are preferred.

Is there a minimum GPA requirement? While we seek candidates with a strong academic background, applications are reviewed holistically, taking into account various factors that contribute to success in our program.

Are credit transfers allowed for students who have completed 1-2 years of undergraduate studies? No, all students must complete the full program due to its integrated curriculum. Applicants with prior university coursework are welcome to apply but must begin from the first year.

I am in my last year of senior high school study, but I haven’t received my graduation certificate yet. How can I apply? You can submit an initial application with a copy of your official transcript. The completed degree certificate and final transcript must be submitted upon admission.

Can I update my application after submission? Yes, you can send updated documents to ug.admission@mbzuai.ac.ae with your full name in the subject line.

Do I need to convert my GPA to a 4.0 scale? No conversion is required. Simply enter your final/overall mark as shown on your transcript.

My transcript is not in English. Do I have to translate it? Yes, transcripts must be translated into English before submission.

Is there a format requirement for the Personal Statement video? Yes, the video must be submitted as a URL (e.g., a private YouTube, Vimeo, or shared drive link). You can record it using any device.

Is there a recommended resume template? No, you are encouraged to design your resume, including your basic information, education, extracurricular activities, and achievements.

Can I still apply if I do not have a technical portfolio? Yes, you can still apply if you don't have a technical portfolio.

Are recommendation letters required? No, but we encourage you to submit the contact details of up to two referees to strengthen your application.

What is the interview process? Shortlisted candidates will be invited for an interview, either on-campus or online.

What makes an applicant stand out? We seek candidates with strong academic performance and skills in mathematics, communication, leadership, entrepreneurship, and programming. For students considered 'exceptional,' we expect to see major awards, technical portfolios showcasing significant coding experience, and AI-related achievements.

Do I need prior AI or programming experience? No, but familiarity with coding and a strong interest in AI/STEM will strengthen your application.

How much is tuition for the undergraduate program? For students entering in Fall 2025, tuition fees are 45,000 USD per annum, with additional cost of attendance.

What is included in the additional Cost of Attendance? The cost includes accommodation, medical insurance, a laptop, visa, meal plan, and social activities.

What is the payment schedule for tuition fees? Where applicable, fee payment plans will be communicated to students, typically on a per-semester basis.

What are the criteria to apply for financial aid? Full scholarships covering tuition and costs are available based on merit. If a student is not awarded a full scholarship, they may apply for additional financial aid upon enrollment.

How do I apply for a scholarship at MBZUAI? Scholarships are awarded based on merit, so no additional application is required.

Are there requirements to maintain a scholarship? Yes, students must remain in good academic standing as defined by the Academic Standing Policy and maintain a record of good conduct.

Does MBZUAI provide a stipend for undergraduate students? No stipend is provided, but scholarships cover tuition and living costs, including accommodation and meals.

How many students stay in the UAE after graduation? Approximately 85% of MBZUAI graduates remain in the UAE.

What career opportunities are available for BSc in AI graduates? At MBZUAI, our BSc in AI programs are designed to equip you with the knowledge, skills, and experience to become a future innovator and leader in artificial intelligence. For more details, visit: https://mbzuai.ac.ae/study/undergraduate-career-potential/

Does MBZUAI offer career counseling and job placement services? Yes, we provide career coaching, resume assistance, job search strategies, and employer engagement opportunities.

Are internships supported? Yes, MBZUAI supports summer internships and helps students secure placements both in the UAE and abroad.

Does MBZUAI support student entrepreneurs? Yes, MBZUAI has an Incubation and Entrepreneurship Centre that offers resources and mentorship for innovative ideas. Entrepreneurship is also a key component of the BSc program, empowering students to turn their visions into reality.

Can MBZUAI undergraduates continue to a Master’s or PhD at the university? Yes, top graduates will be well-positioned to apply for MBZUAI’s MSc and PhD programs.

What language are the lectures taught in at MBZUAI? All lectures are taught in English.

How can I get a course catalog? The 2025-2026 catalog will be available in August. The undergraduate website is updated regularly with course details.

What is the difference between the Engineering and Business streams? Both tracks focus on the practical use of AI in real-world situations, but they differ in focus. The Engineering track delves deeper into understanding how AI works, along with its benefits and limitations. In contrast, the Business track emphasizes developing a deeper understanding of business and entrepreneurship challenges that can benefit from AI technology.

Can I switch streams after enrolling? Yes, students can switch tracks within the first year of enrollment.

What is the final-year cooperative education program? In the final year, students work full-time in an industry placement instead of taking classes.

Do I need to find my final-year industry placement on my own? No, MBZUAI’s Career and Professional Development Services will assist students in securing placement opportunities. The team works with employers to ensure that co-op experiences align with academic requirements and benefit both students and companies. Some students may secure placements through prior internships, financial sponsors, or personal networking, and the Careers team will help match students with industry partners for meaningful opportunities.

Can I choose more electives than the number required? If yes, do I need to pay extra for the credits? The BSc degree includes a combination of 28 elective and mandatory courses. Students typically take five courses per semester over six semesters. There is flexibility to take additional electives without extra cost, as long as academic requirements are met. Students who perform outstandingly in their first year may also apply to take an extra course in later semesters.

Can I waive any core courses? If yes, what is the requirement for qualification? In general, core courses cannot be waived. However, students who can demonstrate that they have already met the course learning outcomes through prior experience may request a review. In exceptional cases, a waiver may be granted, allowing the student to take an additional elective instead.

Will MBZUAI provide a laptop? Yes, all admitted students will receive a laptop.

Is there any academic support available? Yes, MBZUAI offers academic support through non-credit bridge courses in Math and English for students who need additional preparation. The Academic Resource Center (ARC) will provide tutoring, study assistance, and faculty office hours to ensure students have the support they need to succeed. The ARC will be fully operational when the first cohort arrives in August.

Is MBZUAI accredited and recognized internationally? Yes, MBZUAI is officially accredited by the UAE Ministry of Education and is internationally recognized as a leading AI-focused university. Its programs are designed to meet global academic and industry standards, ensuring strong career opportunities for graduates. The university collaborates with top institutions, industry leaders, and research centers worldwide to provide students with a world-class learning experience.

Does MBZUAI have international academic partnerships? Yes, MBZUAI actively partners with leading universities and research institutions worldwide. These collaborations offer exchange programs, internships, joint research projects, and networking opportunities for students.

Is on-campus accommodation available? Yes, undergraduate students are housed in a newly built residential building. Each student is assigned a space in a multi-occupancy room, included in the cost of attendance. Single rooms are available for an additional fee. Male and female students are assigned separate floors. Living on campus fosters both academic and social growth.

What amenities are included with the accommodation? Student accommodation includes a multi-occupancy room with shared bathroom facilities. Each apartment (2, 3, or 4 bedrooms) is equipped with laundry facilities, a fully stocked kitchen, a living area with a TV, and internet access. Campus-wide amenities include a gym, sports areas, restaurants, coffee shops, a grocery store, and a canteen offering breakfast, lunch, and dinner.

How do I get to campus? MBZUAI is located in Masdar City, Abu Dhabi, just five kilometers from Abu Dhabi International Airport. The campus is a 30-minute drive from central Abu Dhabi, and taxis are readily available.

Does MBZUAI provide a shuttle bus service? Yes, a shuttle service connects students to key locations, including shopping malls and other amenities. The schedule will be provided upon arrival.

Can I stay on campus between semesters? Yes, accommodation is available during the winter and spring breaks. However, students must vacate their rooms during the summer break (mid-May to mid-August 2026). Exact dates will be confirmed closer to the time.

Can my parents stay with me on campus? No, MBZUAI does not provide housing for parents. However, the Student Affairs team can recommend nearby hotels or Airbnbs for visiting parents.

Is the campus safe? Yes, MBZUAI has 24/7 security and is located in Abu Dhabi, which is ranked as one of the world’s safest cities.

What facilities are available on campus? MBZUAI offers world-class facilities designed to support academic and professional success, including:

• AI Labs & Classrooms: High-performance computing resources, AI tools, and robotics equipment.
• Student Accommodation & Recreation: Comfortable housing, student lounges, gym, and sports facilities.
• Library & Digital Resources: AI-focused books, journals, and access to research databases.
• Collaboration Spaces: Study areas, meeting rooms, and innovation hubs for teamwork.

What are the student services offered by MBZUAI? MBZUAI provides a comprehensive range of student services, including academic advising, counseling, IT support, health services, fitness facilities, and various other resources designed to support student well-being and academic success.

Does the university provide support for obtaining visas? Yes, the Student Life team will reach out to confirmed students in June 2025 to assist with the arrangements for issuing student visas.

What happens if my passport or visa is not ready before enrollment? Can I join online temporarily? MBZUAI’s undergraduate program is fully in-person to ensure maximum engagement with faculty and peers. Online enrollment is not permitted. If your passport or visa is delayed, please apply for renewals as early as possible. The university will assist with visa arrangements starting in June 2025.

Is MBZUAI a diverse community? Yes, MBZUAI fosters a diverse and inclusive community. With graduate students from 49 different countries, our campus embraces cultural diversity, creating a dynamic and enriching environment for learning and collaboration.

What student clubs are available? Can I start a new club? Yes! MBZUAI offers a vibrant student community with clubs for sports, music, outdoor activities, chess, gaming, languages, consulting, photography, and more. Students are also encouraged to start new clubs based on their interests. For a glimpse into student life, follow @mbzuai.gsc on Instagram.

Does MBZUAI provide support for students with disabilities? Yes, MBZUAI offers personalized support to ensure that students with disabilities receive the necessary accommodations for academic success. Students are encouraged to inform the Student Affairs team as early as possible to arrange the appropriate support.

Is there any support to relocate from my home country to Abu Dhabi? Yes, the Pioneer Scholarship includes relocation support to Abu Dhabi as part of its benefits. This merit-based scholarship is awarded to outstanding candidates, who will receive full details, including relocation support, in their offer letter.

Does MBZUAI have a system for student feedback? Yes, students receive regular academic feedback and can share their opinions with faculty and administrators. Feedback opportunities are available during department meetings and Town Halls.

Are there opportunities for student leadership roles? Yes, MBZUAI offers leadership opportunities through its active Student Council, where students can develop leadership skills, contribute to campus life, and enhance the overall student experience.

What is Abu Dhabi like? Abu Dhabi is the capital of the United Arab Emirates and a modern, vibrant city known for its rich cultural heritage, stunning architecture, and strong emphasis on innovation and technology. It is home to world-class universities, research centers, and global business hubs, making it an ideal destination for students and professionals. Additionally, Abu Dhabi has been ranked the world's safest city in 2025, marking the ninth consecutive year it has held this title since 2017, ensuring a secure and welcoming environment for residents and visitors.

What is the dress code in Abu Dhabi? While Abu Dhabi is a modern and diverse city, residents and visitors are encouraged to dress modestly in public areas. For everyday wear, lightweight and breathable clothing is recommended due to the warm climate. In academic and professional settings, smart casual or formal attire is appropriate.

What is the official religion of Abu Dhabi? Islam is the official religion of the UAE, and its values shape the country’s culture and traditions. However, Abu Dhabi is home to a diverse and multicultural population, and people of all faiths are free to practice their religion. The city promotes tolerance and respect for all beliefs, with places of worship available for various religious communities.