- Degree Master
- Area of study: Science and Engineering
- Duration: 4 Terms
- Credit hours: 36.00 hrs
The Master of Science in Artificial Intelligence is offered under AASTMT's College of Artificial Intelligence, one of the first specialized AI colleges in the Arab region, established in 2019 at the El Alamein campus. The program is designed to equip graduate students with both foundational and advanced knowledge in AI, preparing them for leadership roles in research, industry, and academia.
• Applicants must hold a bachelor's degree with a minimum GPA of 2.40/4.00 or a "Good" overall grade. • Applicants with a "Pass" grade may be accepted provided they already possess an academic diploma in the same specialization with a grade of at least "Good." • Graduates of faculties of Computer Science and Information Technology, Artificial Intelligence, Computer Engineering, and the Computer Science division within the Faculty of Science. • Graduates of faculties of Engineering (other specializations) and faculties of Science (other divisions) after passing a qualifying exam or completing supplementary courses determined by the faculty. • Holders of a bachelor's degree in Management Information Systems, provided they possess an equivalent academic diploma with a grade of "Good."
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The Master of Science in Artificial Intelligence is offered under AASTMT's College of Artificial Intelligence, one of the first specialized AI colleges in the Arab region, established in 2019 at the El Alamein campus. The program is designed to equip graduate students with both foundational and advanced knowledge in AI, preparing them for leadership roles in research, industry, and academia..
| Code | Title | Prerequisites |
|---|---|---|
| AIN7101 | Machine Learning Fundamentals | None |
| AIN7201 | Deep Learning | None |
| Code | Title | Prerequisites |
|---|---|---|
| AIN7000 | Master’s Research Thesis Part 1 | 12 hrs |
| AIN7001 | Master’s Research Thesis Part 2 | AIN7000 |
| Code | Title |
|---|---|
| AIN7302 | Artificial Intelligence in Games |
| AIN7303 | Explainable AI |
| AIN7304 | Artificial Intelligence in Pharma and Biotech |
| ADS7305 | Deep Learning for Multimedia |
| AIN7301 | Brain-Computer Interface |
| Code | Title |
|---|---|
| AIN7602 | Digital Twins |
| ADS7603 | Medical Imaging and Neural Networks |
| AIN7601 | Advanced Techniques in Object Detection and Recognition |
| Code | Title |
|---|---|
| AIN7102 | Advanced Artificial Intelligence and Machine Learning |
| AIN7202 | Advanced Deep Learning |
| Code | Title |
|---|---|
| AIN7502 | Cognitive Systems |
| ADS7503 | Neuroscience |
| AIN7501 | Mathematics for Artificial Intelligence |
| Code | Title |
|---|---|
| ARB7102 | Medical and Healthcare Robotics |
| ARB7103 | Smart City Services and Applications |
| ARB7104 | Autonomous Systems |
| ARB7101 | Robotics, Agents, Integration and Human Interaction |
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