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QS World Rankings 2027
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Artificial Intelligence (AI) and Machine Learning (Dubai) MSc
- CampusDubaiDelivery formatIn person
- Start dateSeptember (full-time or part-time)Duration1 year (full-time); 2 years (part-time)
- AwardMaster of Science
- Entry requirementsA 2:1 Honours degree in a numerate discipline
- Fees (UK/Ireland)September 2027: AED 180,617 (full-time) per year / AED 90,309 (part-time) per year
Course overview
Take your career to new heights in the rapidly evolving domain of artificial intelligence and machine learning. As rapid advances change our world, get prepared for a range of exciting global roles.
Discover what the current state of artificial intelligence and machine learning techniques can accomplish and get ready for a range of in-demand careers.
With your mathematical background, our course will open up a world of opportunity in roles such as machine learning engineer, research scientist, quantitative/data analyst, computer vision engineer or tech consultant.
This programme is accredited by the United Arab Emirates Ministry of Higher Education and Scientific Research.
Course structure
Our MSc is a 12-month full-time advanced course, comprising of lectures, tutorials, labs, presentations and project work. The course can also be taken on a part-time basis over two years.
Semester 1
Semester 1
During this semester you'll builds a solid foundation in AI and Machine Learning, covering key mathematical concepts such as linear algebra, neural networks, and advanced models including CNNs and GANs.
You'll cover core algorithms like logistic regression and SVMs, along with model validation techniques.
Semester 2
Semester 2
In the second semester you'll explore data visualisation and computer vision, comparing classical image processing methods with deep learning approaches.
Our programme also covers the latest AI and ML research, preparing you to tackle complex challenges across diverse domains.
Research project
Research project
You will undertake a research-focused AI and machine learning project where they tackle advanced problems in areas like image processing, NLP, computer vision, or large-scale data analysis. Their focus is on advancing AI technology through innovative research, applying their MSc knowledge to solve complex challenges.
The project aims to contribute to the field, potentially leading to academic publications or open-source contributions, and concludes with a final report and presentation.
Hear from our students
Discover first-hand experiences from current students and recent graduates. Learn about studying at Birmingham, life on campus, and living in Dubai.
Course highlights
You’ll learn about the advanced principles of AI and ML, and how machines can perceive, explore and understand the world around us. Deepen your understanding of mathematical tools and how they’re used for machine intelligence tasks. Based at our new, technology enhanced 'smart' campus in Dubai, you'll also have a global experience working with world-leading researchers in Birmingham.
- Graduate with the same University of Birmingham degree as our UK-based students
- Benefit from research-led teaching in AI and Machine Learning
- Join our global community of AI and Machine Learning scientists
- 68th
Birmingham is ranked 68th in the world, maintaining our position in the top 100 universities globally and placing us in the top 10 amongst UK universities.
QS World University Rankings 2027
- 2nd
One of the UK’s most targeted universities by top graduate employers.
High Fliers ‘Graduate Market in 2026’ report
- 6th
in the UK for Computer Science.
Complete University Guide 2027
Course delivery
Teaching is delivered by research-active AI experts. You'll undertake a 60-credit AI and Machine Learning project (with interdisciplinary or industry-based project options), demonstrating professional competence and application of learned material,
- Learn about cutting-edge developments in your chosen areas of interest, with lectures delivered by world-leaders in their fields
- Receive tailored guidance and feedback in tutorials, enabling you to tackle specific challenges and enhance comprehension of the material
- Develop a spectrum of skills, including critical thinking, problem-solving, collaboration, time management, and communication through project work
- Participate in practical assignments that provide hands-on, real-world experience, allowing you to put theory into practice
We offer a combination of evening and weekend classes which are designed to accommodate working professionals and those who choose to study full-time.
Our draft timetable for full-time students is designed to deliver teaching on one or two evenings from 18:00-21:00 and on Saturday from 09:00-17:00 (day varies per module). Each module is block taught over 11 weeks in Semester 1 and 12 weeks in Semester 2. Part-time students will study during these hours as per the number of modules they choose to study.
Lecture
Tutorial
Projects
Practical assignments
Module information
This programme is a 1 year full time (2 years part time) taught master's degree (180 credits) consisting of 120 credits of taught modules and a 60 credit project.
The modules listed for this programme are regularly reviewed to ensure they are up-to-date and informed by the latest research and teaching methods.
The optional module information listed for this programme is intended to be indicative, and the availability of optional modules may vary from year to year. Where a module is no longer available, we will let you know as soon as we can and help you to make other choices.
2026/27
The following must be taken:
60 credits chosen from:
| Module Title | Credits |
|---|---|
| Computer Vision and Imaging (Extended) | 20 |
| Natural Language Processing (Extended) | 20 |
| Neural Computation (Extended) | 20 |
| Visualisation | 20 |
Teaching staff
Dr Muhammad Usman Ilyas
Admissions Tutor
Profile for Dr Muhammad Usman Ilyas, Computer Science, University of Birmingham Dubai
Entry requirements
To secure your place at the University of Birmingham Dubai, you must meet both our general entry requirements and the specific criteria for your chosen course. Your application will be carefully reviewed by the course’s Admissions Tutor, who will determine if you will receive an offer.
- 2:1 Honours degree
in a numerate discipline (Computer Science, Mathematics, Physics, Engineering, Economics, or another programme with substantial Mathematics content).
English language requirements
To study at the University, you must be able to demonstrate a good level of written and spoken English. Many applicants do this by submitting a recent IELTS, TOEFL, or PTE result, or by completing a Presessional English course.
The level of English language proficiency required varies depending on your level of study and subject area.
You can view the full English language requirements, including accepted tests and required scores, on our entry requirements page for the Dubai campus.
Fees and scholarships
The University tuition fee covers the cost of your tuition, examination, and graduation.
- AED 180,617
September 2027 (full-time) per year
- AED 90,309
September 2027 (part-time) per year
Paying your tuition fees
Tuition fees are payable for each year of your programme. To help you manage the cost of study, you can pay fees in full or in three instalments per academic year.
To secure your place, you must pay a non-refundable tuition fee deposit of AED 5,000 by the deadline stated in your Conditional Offer. This deposit will be deducted from your tuition fees.
Scholarships
Birmingham attracts the best and brightest students from across the globe. Eligible applicants are automatically considered for a range of scholarships following a Conditional Offer from the University of Birmingham Dubai.
- Up to 30%
Tuition fee scholarships available for eligible students.
Application process
Applying to the University of Birmingham Dubai is straightforward. Applications are made directly through our online Admissions portal, with no application fee.
To avoid delays, please ensure all required documents are included with your application.
Find guidance on how to apply, key steps in the process and answers to frequently asked questions.
Career opportunities
You can expect to enter a variety of roles such as Machine Learning Engineer, AI Developer, Research Scientist, Technology Consultant, Computer Vision Engineer and Data Scientist. You may also decide to pursue a career in academia, engaging in teaching, research, or technology development.
Given the growing demand for AI and Machine Learning expertise, your career prospects are strong, with excellent opportunities to secure employment in this dynamic field.
Benefit from the prestige of a degree from a leading World Class University, making you attractive to companies in the engineering, finance, consultancy and commerce sectors worldwide. You could go on to work for global companies such as Google, Microsoft, Apple, IBM, Goldman Sachs, HSBC, Sony or Samsung.
Dubai is an exciting global city with a rapidly developing economy, actively embracing digitisation and artificial intelligence for various sectors. With your Data Science degree, you can work for companies such as RTA, Deloitte, Dubai Airports, Noon and DEWA.
Careers Network
In a competitive global market, you need to be ready for work before you graduate. At the University of Birmingham Dubai, our careers services will help you plan and achieve your ambitions. Whatever you plan to do after your degree, the Careers Network Dubai information, advice, and guidance service offers support to help you identify your options, develop your skills and gain access to opportunities that propel you towards your career goal.
Upcoming events
There are currently no upcoming events
Student experience
At Birmingham, your university experience isn’t just about studying. You will have the opportunity to discover new experiences, develop different skills and make friends for life at our Dubai campus.
Our state-of-the-art Dubai campus, with its iconic buildings overlooking stunning parkland and friendly community, will quickly make you feel at home in the UAE's second city. Expect plenty of exciting activities to get involved in outside of your studies, as well as all the support and advice you need.
Accommodation
Coming to the University of Birmingham Dubai to study might be your first time living away from home. Our student accommodation partners allow you to enjoy your independence in safe, welcoming, and sociable surroundings.
Living in Dubai
Enrich your life with endless attractions, entertainment and lifestyle opportunities. In just over 50 years, Dubai has transformed itself from a tiny settlement to a glistening city and world-class destination. It’s no wonder our students fall in love with the city.
Campus life
Our state-of-the-art Dubai campus is where our diverse community comes together, providing a home for up to 3,000 students to learn, relax, and socialise.
Student support
Whoever you are and wherever you come from, we are committed to providing the best possible support to all of our students, both before you start and throughout your time on campus, so that you can get the most out of your university experience.
Take a virtual tour
Explore our Dubai campus from wherever you are. Get a feel for the wide range of modern spaces and state-of-the-art facilities.