Master of Science in Machine Learning — study plan
Mohamed bin Zayed University of Artificial Intelligence Master's Programs
- Credit hours
- 36
- Levels
- 2
- Courses
- 35
- Degree
- master
The Master of Science in Machine Learning study plan at Mohamed bin Zayed University of Artificial Intelligence is an accredited master programme spanning about 1 years (2 academic levels), requiring 36 credit hours across 35 courses of required and elective study. The table below lists the courses and their credit hours for each level.
Core Courses 24 credits
| Code | Course | Credits |
|---|---|---|
| AI7101 | Machine Learning with Python | 2 |
| AI7102 | Introduction to Deep Learning | 2 |
| ML701 | Machine Learning | 4 |
| ML7101 | Probabilistic and Statistical Inference | 2 |
| MTH7101 | Mathematical Foundations of AI | 2 |
| RES799 | Introduction to Research Methods | 2 |
| ML799 | Machine Learning Master's Research Thesis | 8 |
| INT799 | Master of Science Internship | 2 |
Electives 104 credits
| Code | Course | Credits |
|---|---|---|
| CBIO7101 | Introduction to Single Cell Biology and Bioinformatics Elective | 4 |
| CS7201 | Foundations of AI System Design Elective | 4 |
| CS7602 | Computer and Network Security Elective | 4 |
| CV701 | Human and Computer Vision Elective | 4 |
| CV702 | Geometry for Computer Vision Elective | 4 |
| CV703 | Visual Object Recognition and Detection Elective | 4 |
| CV707 | Digital Twins Elective | 4 |
| CV7501 | Selected Topics in Computer Vision Elective | 2 |
| CV7502 | Deep Learning for Visual Computing Elective | 4 |
| DS701 | Data Mining Elective | 4 |
| DS702 | Big Data Processing Elective | 4 |
| DS703 | Information Retrieval Elective | 4 |
| DS704 | Statistical Aspect of Machine Learning Elective | 4 |
| ENT799 | Entrepreneurship in Action Elective | 2 |
| HC701 | Medical Imaging: Physics and Analysis Elective | 4 |
| ML702 | Advanced Machine Learning Elective | 4 |
| ML707 | Smart City Services and Applications Elective | 4 |
| ML708 | Trustworthy Artificial Intelligence Elective | 4 |
| ML709 | IoT, Smart Systems, Services and Applications Elective | 4 |
| ML710 | Parallel and Distributed Machine Learning Systems Elective | 4 |
| ML711 | Intermediate Music AI Elective | 4 |
| ML7501 | Applied Machine Learning Elective | 4 |
| MTH702 | Optimization Elective | 4 |
| NLP701 | Natural Language Processing Elective | 4 |
| NLP702 | Advanced Natural Language Processing Elective | 4 |
| NLP703 | Speech Processing Elective | 4 |
| ROB701 | Introduction to Robotics Elective | 4 |
This plan is transcribed from the university's official source. Always confirm the plan approved for your own cohort before registering. Official source
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Frequently asked questions about Master of Science in Machine Learning
How many credit hours is Master of Science in Machine Learning at Mohamed bin Zayed University of Artificial Intelligence?
Master of Science in Machine Learning at Mohamed bin Zayed University of Artificial Intelligence requires completing 36 credit hours to graduate, spread across 35 courses.
How many years is Master of Science in Machine Learning at Mohamed bin Zayed University of Artificial Intelligence?
The study plan for Master of Science in Machine Learning spans about 1 years (2 levels/semesters) under the approved plan.
What degree does Master of Science in Machine Learning award?
Master of Science in Machine Learning at Mohamed bin Zayed University of Artificial Intelligence awards a Master's degree after completing 36 credit hours.