PhD in Human-Computer Interaction - MBZUAI PhD in Human-Computer Interaction
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Doctor of Philosophy in

Human-Computer Interaction

Overview

The goal of the Doctor of Philosophy in Human-Computer Interaction is to advance the frontiers of human-computer interaction (HCI) by providing students with a deep understanding of the theoretical, methodological, and technical aspects of HCI necessary for identification of new research problems, development of new research methods and creation of significant contributions in their field. The graduates have advanced appreciation of ethical, societal and sustainability concerns related to technology development and application of AI, and can apply this knowledge in careers in research, industry, and entrepreneurial ventures.

  • icon Mode: Full-time
  • icon 60 credits
  • icon Location: On campus

Welcome to the Human-Computer Interaction (HCI) Department at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI). We're at the forefront of a pivotal new era, merging human-centered design with cutting-edge AI to shape a future where AI augments and amplifies human bodies and minds. Our focus is on building transparent, interrogable AI systems that provide intuitive, equitable, communicative, adaptive, and genuinely beneficial experiences for everyone.

At MBZUAI, we believe AI's true potential is unlocked only when deeply rooted in understanding diverse human needs, behaviors, and societal contexts. Our HCI Department is dedicated to equipping the next generation of AI leaders with the skills to create computational experiences that foster meaningful human interactions. Our rapidly growing faculty brings together expertise from psychology, neuroscience, computer science, cognitive science, social studies, and design. The department's diverse expertise drives its innovative, human-focused research. This research aims to solve practical problems by addressing a wide range of issues—from making AI ethical and interactive interfaces "smart", to understanding AI's societal impact and discussing human augmentation—all with the goal of improving individual well-being and fostering better societies.

Elizabeth Churchill

Department Chair and Professor of Human-Computer Interaction

Read Bio

Meet the faculty

Elizabeth Churchill

Elizabeth Churchill

Department Chair and Professor of Human-Computer Interaction

BIO
Olivier Oullier

Olivier Oullier

Visiting Professor of Practice, Human-Computer Interaction

BIO
Laura Koesten

Laura Koesten

Assistant Professor of Human-Computer Interaction

National Qualifications Framework – three strands 

The program learning outcomes (PLOs) are aligned with the Emirates Qualifications Framework and, as such, are divided into the following learning outcomes strands: knowledge (K), skills (S), and responsibility (R). 

Upon completion of the program requirements, graduates will be able to: 

  • PLO 01: Apply fundamental and advanced human-computer interaction (HCI) concepts in design of novel research agendas and application areas for HCI.
  • PLO 02:Incorporate the analysis of brain, perceptual, cognitive, physical and social aspects of human-technology interaction in research design.
  • PLO 03:Design complex HCI and human-centered artificial intelligence (HCAI) projects and experiments applying advanced human centric design methodologies and tools
  • PLO 04:Manage and lead complex collaborative HCI projects targeting radical innovations.
  • PLO 05: Identify user experience problems through application of various approaches and synthesize finding following philosophical underpinnings of HCI

The PLOs are mapped to the National Qualifications Framework Level Eight (8) qualification and categorized into three domains (knowledge, skill, and responsibility) as per the National Qualifications Framework set by the UAE National Qualifications Centre (NQC) and the Ministry of Higher Education and Scientific Research (MoHESR): 

PLOs Knowledge          Skill           Responsibility
PLO 01 K S
PLO 02 K S
PLO 03 K S R
PLO 04 K S
PLO 05 K S R

The minimum degree requirements for the Doctor of Philosophy in Human-Computer Interaction program is 60 credits, distributed as follows:

Number of courses Credit hours
Core 4 16
Electives 2 8
Internship At least one internship of up to six weeks duration must be satisfactorily completed as a graduation requirement 2
Advanced research methods 1 2
Research thesis 1 32

The Doctor of Philosophy in Human-Computer Interaction program is primarily a research-based degree. The purpose of coursework is to equip students with the right skill set, so they can successfully accomplish their research project (thesis).

Code Course title Credit hours
HCI8101 History of HCI: Psychology and Human Factors

Course description: This course focuses on the key psychology and human factors related to HCI design. The course provides students with a deep understanding of how the field has evolved and how interdisciplinary research has shaped the way humans interact with technology over the years. The course presents an overview of the latest AI applications in the field and an analysis of the positive and negative psychological implications of technologies. Students learn the key aspects of cognition and perception and design systems that are intuitive and optimized for adoption and learning.

4
HCI8102 HCI Theory and Models (as applied to interaction science and interaction design)

Course description: This course covers theories and models that are applied to interaction science and interaction design to ensure that technologies meet users’ needs, cognitive abilities, and emotional responses. It covers aspects of user interaction with technology, and the design and analysis of user interfaces. The related theories and models have been developed from various disciplines such as psychology, computer science, ergonomics, and design, and they help in guiding the design of systems that are intuitive, efficient, and effective for users.

4
HCI8103 User Experience (UX) and Interaction Design, Service Design

Course description: This course focuses on three key themes of HCI, namely user experience, interaction design and service design. These interconnected fields focus on creating user-centric products and services that are intuitive, efficient, and delightful. The course covers the key theories, methodologies and tools for iterative interface design focusing on services specifically. The course covers usability principles, programmable user models and automated synthesis and analysis of user generated data. The course also covers aspects of various user data models and design rights.

4
HCI8104 Accessibility, Inclusive, and Universal Design

Course description: In HCI, Accessibility, Inclusive, and Universal Design principles aim to make digital experiences usable, equitable, and enjoyable for everyone, regardless of their abilities, backgrounds, or circumstances. Accessibility refers to the design of products, environments, or services that are usable by people with disabilities. Inclusivity in design ensures that users with diverse cultural, social, and economic backgrounds can equally access technologies. Universality as a design principle ensures that the widest range of people can use technologies regardless of their location, local standards or compliance with regulations.

4

Students will select a minimum of two (2) elective courses, with a total of eight (8) credit hours. One must be selected from a list based on interest, proposed research thesis, and career aspirations, in consultation with their supervisory panel. The elective courses available for the Doctor of Philosophy in Human-Computer Interaction are listed below:

Code Course title Credit hours
HCI8505 Emerging Technologies

Course description: Human-computer interaction (HCI) research and design benefit immensely from emerging technology solutions (e.g. wearables, sensors, …) and Artificial Intelligence applications in the field. Emerging technologies enable new types of interaction designs, provide new methods for data collection and analysis, and assist in design of accessible and inclusive solutions. With the reduced cost and access to new technologies the traditional HCI design paradigms and design space can be extended and made available for new methodologies and technologies can be made available for various user groups. The course also reminds students of emphasizes the responsible application of these technologies and highlights the regulatory challenges their use may present.

4
HCI8506 Information Visualization

Course description: This course focuses on information visualization -is the process of using graphical representations to convey data, trends, patterns, and relationships in a way that makes complex information accessible and understandable. Students will explore the use of charts, maps, and other interactive visual representations to present data in a manner that is easier to interpret than “raw” data alone. The course includes a focus on the use of the latest e tools for visualization of data for effective analysis, interpretation, interaction and collaboration with others. Students will learn to design projects that support effective data gathering, organization, analysis, and presentation. Emphasis will be placed on using structured narrative techniques to communicate insights clearly and maximize impact.

4
HCI8507 Design for Diverse Contexts

Course description: This course focuses on creating technology that can adapt to and serve the needs of users in a wide range of settings, cultures, environments, and situations. Users interact with technology in varied contexts in terms of physical environments, cultural backgrounds, or technological devices. Understanding and designing applications that are optimal for these different contexts is key to creating meaningful, effective, and accessible user experiences. Students will apply design thinking approaches to user-centered and contextualized interface design.

4
HCI8508 Creativity and Digital Arts

Course description: This course focuses on the intersection of creativity, digital arts, and AI, particularly in performance. The key concepts covered in this course includes critical understanding of the social, cultural, and political implications of AI in performance; understanding theories of embodiment and performance; designing interactive performance systems with sensors and actuators; exploring the use of AI for creating immersive and participatory performance experiences; and ethical considerations in embodied AI performance. Students will learn to critically evaluate the impacts of design choices in a cultural context.

4
HCI8509 Ethical and Social Implications

Course description: In this course, students will explore the ethical, social, and cultural issues related to the design and use of interactive technologies. Through a combination of theoretical frameworks, case studies, and real-world applications, students will examine how human-computer interaction (HCI) affects users, communities, and society. Topics will include privacy, data security, accessibility, social inclusion, digital wellbeing, algorithmic bias, and the ethical responsibilities of HCI professionals. The course will also encourage students to consider the potential long-term societal impacts of emerging technologies such as AI, virtual reality, and the internet of things (IoT), and how HCI design decisions can contribute to or mitigate harm.

The Ph.D. thesis exposes students to cutting-edge and unsolved research problems in the field of human-computer interaction, where they are required to propose new solutions and significantly contribute towards the body of knowledge. Students pursue an independent research study, under the guidance of a supervisory panel, for a period of three to four years.

Code Course title Credit hours
HCI899 Ph.D. Research Thesis

Course description: Ph.D. Research Thesis exposes students to cutting-edge and unsolved research problems, where they are required to propose new solutions and significantly contribute towards the body of knowledge. Students pursue an independent research study, under the guidance of a supervisory panel, for a period of three to four years. Ph.D. Research Thesis helps train graduates to become leaders in their chosen area of research through partly supervised study, eventually transforming them into researchers who can work independently or interdependently to carry out cutting edge research.

8

The MBZUAl internship with industry is intended to provide the student with hands-on experience, blending practical experiences with academic learning.

Code Course title Credit hours
INT899 Master of Science Internship (up to six weeks)

Course description: The MBZUAI internship with industry is intended to provide the student with hands-on experience, blending practical experiences with academic learning.

2

MBZUAI accepts applicants who hold a completed degree in a STEM field such as computer science, electrical engineering, computer engineering, mathematics, physics, or other relevant science or engineering major that demonstrates academic distinction in a discipline appropriate for the doctoral degree – either: 

  • Bachelor’s degree with a minimum CGPA of 3.5 (on a 4.0 scale) or equivalent, or 
  • Master’s degree with a minimum CGPA of 3.0 (on a 4.0 scale) or equivalent.  

Applicants must provide their completed degree certificates and official transcripts when submitting their application. Senior-level students can apply initially with a copy of their official transcript and expected graduation letter and upon admission must submit the official completed degree certificate and transcript. A degree attestation from UAE Ministry of Higher Education and Scientific Research (for degrees from the UAE) or Certificate of Recognition (for degrees acquired outside the UAE) should also be furnished within students’ first semester at MBZUAI. 

All applicants whose first language is not English must demonstrate proficiency in English through one of the following:

  • IELTS Academic: Minimum overall score of 6.5
  • TOEFL iBT: Minimum score of 90

*Exams must be valid and administered at an approved physical test center. Home Edition exams are not accepted.

English language proficiency waiver eligibility

Applicants may qualify for a waiver if they meet one of the following conditions:

  • Full exemption: Completed a degree entirely taught and assessed in English at a University located in a country where English is both the national language and the dominant language of instruction in higher education. This includes: 
    • American Samoa, Australia, Botswana, Canada (excluding Quebec), Fiji, Ghana, Guyana, Ireland, Jamaica, Kenya, Lesotho, Liberia, New Zealand, Nigeria, Papua New Guinea, Samoa, Singapore, Solomon Islands, South Africa, Tonga, Trinidad and Tobago, United Kingdom, United States, Zambia, Zimbabwe.
  • Conditional exemption: If your degree was completed in another country, you may still request an exemption if you can provide official documentation (on University letterhead, signed by an academic official) confirming that your entire program of study was taught and assessed in English. 

English language requirement deadline: The English language requirement should be submitted within the application deadline. However, for those who require more time to satisfy this requirement, there is a final deadline of March 1. 

Within 10 days of submitting your application, you will receive an invitation to book and complete an online screening exam that assesses knowledge and skills relevant to your chosen field. While you may choose to opt out of the screening exam, this is only recommended for applicants whose profiles already demonstrate strong evidence of the skills assessed in the exam. 

Exam topics

Math: Calculus, probability theory, linear algebra, trigonometry and optimization.

Programming: Knowledge surrounding specific programming concepts and principles such as algorithms, data structures, logic, OOP, and recursion as well as language–specific knowledge of Python.

Artificial intelligence applications: Understanding of application opportunities for artificial intelligence across different industries and sectors.

Applicants are highly encouraged to complete the following online courses to further improve their qualifications:

For more information regarding the screening exam (e.g. process, opting out criteria, and technical specifications), register on the application portal here, and view this knowledge article. 

In a 500- to 1000-word essay, explain why you would like to pursue a graduate degree at MBZUAI and include the following information:

  • Motivation for applying to the university 
  • Personal and academic background and how it makes you suitable for the program you are applying for 
  • Experience in completing a diverse range of projects related to artificial intelligence 
  • Stand-out achievements, e.g. awards, distinction, etc 
  • Goals as a prospective student 
  • Preferred career path and plans after graduation 
  • Any other details that will support the application. 

The research statement is a document summarizing the potential research project an applicant is interested in working on and clearly justify the research gap which the applicant would like to fill in during the course of his/her study. It must be presented in the context of currently existing literature and provide an overview of how the applicant aims to investigate the underlying research project as well as predict the expected outcomes. It should mention the relevance and suitability of the applicant’s background and experience to the project and highlight the project’s scientific and commercial significance. The research statement should include the following details:

  • Title
  • Problem definition
  • Literature review
  • Proposed research/methods/solution (optional)
  • Study timeline (a table, figure or a small paragraph presenting your plans for the four years in the Ph.D. program)
  • List of references

Applicants are expected to write the research statement independently. MBZUAI faculty will NOT help write it for the purpose of the application. The MBZUAI Admission Committee will review the submitted document and use it as one of the measures to gauge and assess applicants’ skills.

Applicants will be required to nominate referees who can recommend their application. M.Sc. applicants should have a minimum of two (2) referees wherein one was a previous course instructor or faculty/research advisor and the other a current or previous work supervisor.

To avoid issues and delays in the provision of the recommendation, applicants have to inform their referees of their nomination beforehand and provide the latter’s accurate information in the online application portal. Automated notifications will be sent out to the referees upon application submission.

All applicants are invited to take the online screening exam which assesses foundational knowledge in areas relevant to your program of study including advanced mathematics, programming and in some cases core computer science topics. It is highly recommended that applicants sit the exam. While you may choose to opt out of the screening exam, this is only recommended for applicants whose profiles already demonstrate strong evidence of the skills assessed in the exam.

More information regarding the screening exam (e.g. process, opting out criteria, and technical specifications) will be provided once you start your application

A select number of applicants may be invited to an interview with faculty as part of the screening process. The time and instructions for this will be communicated to applicants on timely bases.

Only one application per admission cycle must be submitted; multiple submissions are discouraged.

Application portal opens

Priority deadline* Final deadline Decision notification date Response deadline
September 1, 2025 (8 a.m. GST)

 

 

November 15, 2025 (5 p.m. GST)

 

December 15, 2025 (5 p.m. GST) March 15, 2026 (5 p.m. GST)

April 15, 2026

 

 

*Applications submitted by the priority deadline will be reviewed first. While all applications submitted by the final deadline (December 15, 2025) will be considered, applying by the priority deadline is strongly encouraged. Admissions are highly competitive and space in the incoming cohort is limited.

Detailed information on the application process and scholarships is available here.

A typical study plan is as follows:

SEMESTER 1

HCI8101 History of HCI: Psychology and Human Factors (4CR)
HCI8102 HCI Theory and Models (as applied to interaction science and interaction design) (4CR)
One elective from the list (4CR)

SEMESTER 2

HCI8103 User Experience (UX) and Interaction Design, Service Design (4CR)
HCI8104 Accessibility, Inclusive, and Universal Design (4CR)
One elective from the list (4CR)

SUMMER

INT899 Master of Science Internship (up to six weeks) (2CR)

SEMESTER 3

RES899 Advanced Research Methods (2CR)
HCI899 Ph.D. Research Thesis (32CR)

SEMESTER 4

HCI899 Ph.D. Research Thesis (32CR)

SEMESTER 5

HCI899 Ph.D. Research Thesis (32CR)

SEMESTER 6

HCI899 Ph.D. Research Thesis (32CR)

SEMESTER 7

HCI899 Ph.D. Research Thesis (32CR)

SEMESTER 8

HCI899 Ph.D. Research Thesis (32CR)
Disclaimer: Subject to change.

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