MSc in Computer Vision
About This Programme
A two-year research MSc in Computer Vision covering image understanding, 3D geometry and deep learning for visual computing.
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.
- Research spans 3D vision, object detection, medical imaging, vision-language and autonomous systems.
- Access to computing labs with nearly 1,000 Nvidia DGZ-1/2 GPU servers.
- One-year Master's research thesis.
What You'll Study
A full-time, English-language MSc on the Masdar City campus combining core computer-vision and AI courses, electives, research methods, an internship and a one-year thesis. 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: 6 courses, 16 credit hours, taken by every student.
- Machine Learning with Python (AI7101)2 credits
- Introduction to Deep Learning (AI7102)2 credits
- Human and Computer Vision (CV701)4 credits
- Probabilistic and Statistical Inference (ML7101)2 credits
- Mathematical Foundations of AI (MTH7101)2 credits
- Geometry for Computer Vision (CV702) OR Visual Object Recognition and Detection (CV703)4 credits
Research methods, internship and thesis
- Introduction to Research Methods (RES799)2 credits
- Master of Science Internship (up to six weeks) (INT799)2 credits
- Computer Vision Master's Research Thesis (CV799)8 credits
Elective courses
Students select a minimum of two elective courses totalling 8 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
- 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
- Entrepreneurship in Action (ENT799)2 credits
- Medical Imaging: Physics and Analysis (HC701)4 credits
- Machine Learning (ML701)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
- 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
- Robotic Manipulation and Control (ROB7101)4 credits
Entry Requirements
Screening exam (mathematics and programming) and technical interview; two references; GRE optional.
Careers
Graduates work in computer-vision research and engineering across healthcare, autonomous systems, remote sensing and security, or progress 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 Computer Vision
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
Computer Vision
Study Pattern
Full time
Delivery Format
In person