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M.Sc. in

Statistics and Data Science

Overview

The goals of the Master of Science in Statistics and Data Science are to train the next generation of data scientists with a focus on the field of statistics. This master’s program gives a solid foundation in statistical theory and a wide range of methods for working with data in many different application areas. In an increasingly data-driven world, being able to model, interpret and translate information into meaningful insights that organizations can use is a valuable skill. Our graduates are prepared for the pursuit of doctoral degrees as well as careers in business, health, and academia.

  • icon Full time Mode
  • icon 36 Credits
  • icon On Campus Location

Deadlines for Applications for Fall 2025:

Priority deadline for early decision: 28th February 2025 (5:00 PM UAE time)
Regular deadline: 31st May 2025 (5:00 PM UAE time)

  • Apply statistical inference and modelling to practical industry challenges.
  • Analyze datasets with supervised learning methods for functional approximation, classification, and forecasting and unsupervised learning methods for dimensionality reduction and clustering.
  • Formulate and use models of data analysis to provide innovative and sustainable solutions to business-related challenges. 
  • Identify critical and emerging challenges in data analysis, formulate innovative research questions, and design experiments or studies that yield meaningful insights.
  • Communicate data findings effectively to any audience, orally, visually, and in written format, individually or in teams.

The minimum degree requirements for the Master of Science in Statistics and Data Science program is 36 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
Introduction to Research Methods 1 2
Research Thesis 1 8

The Master of Science in Statistics and Data Science 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). Students are required to take STADS701 , STADS702 and STADS703 and STADS704 as mandatory courses.

Course Title Credit Hours
STADS701 Probability and Statistics 4
STADS702 Linear Models and Extensions 4
STADS703 Data Analysis and Visualization 4
STADS704 Prediction and Forecasting 4

Students will select a minimum of two elective courses, with a total of eight (or more) 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 Master of Science in Statistics and Data Science are listed in the tables below:

Course Title Credit Hours
AI702 Deep Learning 4
DS701 Data Mining 4
DS702 Big Data Processing 4
NLP701 Natural Language Processing 4
STADS705 Numerical Methods for Optimization 4
STADS706 Bayesian Statistics for Data Science 4

Master’s thesis research exposes students to an unsolved research problem, where they are required to propose new solutions and contribute towards the body of knowledge. Students pursue an independent research study, under the guidance of a supervisory panel, for a period of one year.

Course Title Credit Hours
STADS799 Statistics and Data Science Master’s Research Thesis 8
RES799 Introduction to Research Methods 2

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

Course Title Credit Hours
INT799 Internship 2

MBZUAI accepts applicants from all nationalities who hold a completed Bachelor’s degree in a STEM field such as Computer Science, Electrical Engineering, Computer Engineering, Mathematics, Physics or other relevant Science or Engineering major from a university accredited or recognized by the UAE Ministry of Education (MoE) with a minimum CCGPA of 3.2 (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 MoE (for degrees from the UAE) or Certificate of Recognition from UAE MoE (for degrees acquired outside the UAE) should also be furnished within students’ first semester at MBZUAI.

 

All submitted documents must either be in English, originally, or include legal English translations.
Additionally, official academic documents should be stamped and signed by the university authorities.

Each applicant must show proof of English language ability by providing valid certificate copies of either of the following:

  • TOEFL iBT with a minimum total score of 90
  • IELTS Academic with a minimum overall score of 6.5
  • EmSAT English with a minimum score of 1550

TOEFL iBT and IELTS academic certificates are valid for two (2) years from the date of the exam while EmSAT results are valid for eighteen (18) months. Only standard versions (i.e. conducted at physical test centers) of the accepted English language proficiency exams will be considered.

Waiver requests from eligible applicants who are citizens (by passport or nationality) of UK, USA, Australia, and New Zealand who completed their studies from K-12 until bachelor’s degree and master’s degree (if applicable) from those same countries will be processed. They need to submit notarized copies of their documents during the application stage and attested documents upon admission. Waiver decisions will be given within seven (7) days after receiving all requirements.

Submission of GRE scores is optional for all applicants but will be considered a plus during the evaluation.

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

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 with complete files, including the required number of recommendations, will be invited to participate in an online screening exam to assess their knowledge and skills. Completion of the exam is not mandatory but highly encouraged as it would provide additional information to the evaluation committee. Waiving the exam is only recommended for those students who can provide strong evidence of their research capability, subject matter expertise, and technical skills.

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

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

 The exam instructions are available here

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.

Deadlines for Applications for Fall 2025:

Priority deadline for early decision: 28th February 2025 (5:00 PM UAE time)
Regular deadline: 31st May 2025 (5:00 PM UAE time)

Year 1

Semester 1

STADS701 (4)
STADS702 (4)
STADS703 (4)

Semester 2

STADS704 (4)
2 Electives (8)
One elective

Summer

INT799 (2)

Year 2

Semester 1

STADS799 (4)
RES799 (2)

Semester 2

STADS799 (4)

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