Master of Science in Machine Learning and Computational Intelligence — study plan
- Credit hours
- 33
- Levels
- 3
- Courses
- 7
- Degree
- master
The Master of Science in Machine Learning and Computational Intelligence study plan at University of Bahrain is an accredited master programme spanning about 2 years (3 academic levels), requiring 33 credit hours across 7 courses of required and elective study. The table below lists the courses and their credit hours for each level.
Year 1 - Semester 1 12 credits
| Code | Course | Credits |
|---|---|---|
| ITML601 | Artificial Intelligence & Natural Language Processing | 4 |
| ITML602 | Machine Learning | 4 |
| ITML603 | Research Methodology | 4 |
Year 1 - Semester 2 12 credits
| Code | Course | Credits |
|---|---|---|
| ITML604 | Deep Learning | 4 |
| ITML605 | Robotics and Computer Vision | 4 |
| ITML608 | Advanced Topics in Computational Intelligence | 4 |
Year 2 - Semester 3 9 credits
| Code | Course | Credits |
|---|---|---|
| ITML690 | MSc Thesis | 9 |
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 and Computational Intelligence
How many credit hours is Master of Science in Machine Learning and Computational Intelligence at University of Bahrain?
Master of Science in Machine Learning and Computational Intelligence at University of Bahrain requires completing 33 credit hours to graduate, spread across 7 courses.
How many years is Master of Science in Machine Learning and Computational Intelligence at University of Bahrain?
The study plan for Master of Science in Machine Learning and Computational Intelligence spans about 2 years (3 levels/semesters) under the approved plan.
What degree does Master of Science in Machine Learning and Computational Intelligence award?
Master of Science in Machine Learning and Computational Intelligence at University of Bahrain awards a Master's degree after completing 33 credit hours.