MSc in Machine Learning
About This Programme
A two-year research MSc in Machine Learning: 36 credits of core ML, electives and a one-year Master's thesis.
Course Highlights
- Not automatically funded: MBZUAI classes M.Sc. students as fee-paying by default, with merit-based funding considered at admission and otherwise secured through a faculty-sponsored assistantship or a government scholarship.
- Taught at MBZUAI, ranked 10th in the world in AI (CSRankings).
- Access to computing labs with nearly 1,000 Nvidia DGZ-1/2 GPU servers.
- One-year independent Master's thesis under a supervisory panel.
What You'll Study
Delivered full-time in English over four semesters on the Masdar City campus, combining core machine-learning courses, electives, research methods, an internship and a one-year Master's thesis under a faculty supervisor. MBZUAI classes M.Sc. students as fee-paying by default; merit-based funding is considered at admission, and is otherwise secured through a faculty-sponsored assistantship or an approved government scholarship.
Core courses
Core: 5 courses, 12 credit hours, taken by every student.
- Machine Learning with Python (AI7101)2 credits
- Introduction to Deep Learning (AI7102)2 credits
- Machine Learning (ML701)4 credits
- Probabilistic and Statistical Inference (ML7101)2 credits
- Mathematical Foundations of AI (MTH7101)2 credits
Research methods, internship and thesis
- Introduction to Research Methods (RES799)2 credits
- Master of Science Internship (up to six weeks) (INT799)2 credits
- Machine Learning Master's Research Thesis (ML799)8 credits
Elective courses
Students select a minimum of three elective courses totalling 12 credit hours.
Published elective list
- Introduction to Single Cell Biology and Bioinformatics (CBIO7101)4 credits
- Foundations of AI System Design (CS7201)4 credits
- Computer and Network Security (CS7602)4 credits
- Human and Computer Vision (CV701)4 credits
- Geometry for Computer Vision (CV702)4 credits
- Visual Object Recognition and Detection (CV703)4 credits
- Digital Twins (CV707)4 credits
- Selected Topics in Computer Vision (CV7501)2 credits
- Deep Learning for Visual Computing (CV7502)4 credits
- Data Mining (DS701)4 credits
- Big Data Processing (DS702)4 credits
- Information Retrieval (DS703)4 credits
- Statistical Aspect of Machine Learning/Statistical Theory (DS704)4 credits
- Entrepreneurship in Action (ENT799)2 credits
- Medical Imaging: Physics and Analysis (HC701)4 credits
- Advanced Machine Learning (ML702)4 credits
- Smart City Services and Applications (ML707)4 credits
- Trustworthy Artificial Intelligence (ML708)4 credits
- IoT, Smart Systems, Services and Applications (ML709)4 credits
- Parallel and Distributed Machine Learning Systems (ML710)4 credits
- Intermediate Music AI (ML711)4 credits
- Probabilistic and Statistical Inference (ML7101)2 credits
- Applied Machine Learning (ML7501)4 credits
- Optimization (MTH702)4 credits
- Natural Language Processing (NLP701)4 credits
- Advanced Natural Language Processing (NLP702)4 credits
- Speech Processing (NLP703)4 credits
- Introduction to Robotics (ROB701)4 credits
Entry Requirements
Selection includes an online screening exam (mathematics and programming) and a technical interview. Two references (one academic, one professional). GRE optional.
Careers
Graduates move into machine-learning and research roles across industry, government and academia, or continue to a PhD.
Accreditation & Professional Recognition
Accredited by the UAE Commission for Academic Accreditation (status Active on the CAA register).
Programme Details
Award
Master of Science (MSc) in Machine Learning
Start Date
Annual Fall intake (August)
Typical Offer
STEM bachelor's, CGPA 3.0/4.0; IELTS 6.5 / TOEFL 90
Duration
2 years
Qualification
Masters
Subject Area
Machine Learning
Study Pattern
Full time
Delivery Format
In person