Artificial Intelligence Engineering
Mission
Artificial intelligence (AI) is a key driver of change in computer science and many other fields, including engineering, healthcare, economics, and social sciences. Advances in deep learning, natural language processing, computer vision, and generative AI have resulted in new applications and business models. As a result, there is a growing demand for engineers and researchers with expertise in artificial intelligence. The mission of the Master of Artificial Intelligence Engineering program at METU NCC is to educate AI scientists and engineers by deepening their knowledge of artificial intelligence through research, theory, and hands-on practice.
Goals
The Master of Artificial Intelligence Engineering program at METU NCC is designed to address the growing demand for skilled professionals in the field of AI, both in industry and higher education. The overall goal of the program is to:
- To produce high-quality research output in artificial intelligence.
- To prepare graduates with applied research skills that are aligned with the needs of domestic and international technology companies, defence industry organisations, financial institutions, and the entrepreneurial ecosystem.
- To provide students with not only the capability to use existing AI technologies but also a comprehensive knowledge of the underlying methods and algorithms that drive these technologies.
Curriculum
AIN 500 Master Thesis (NC-Non Credit)
AIN 591 Graduate Seminar (NC-Non Credit)
AIN 592 Research Methods and Ethics (NC-Non Credit)
7 Elective Courses*
Total minimum credit: 21
Minimum number of courses with credit: 7
| Semester | Course Type | Credits |
|---|---|---|
| 1 | 3 Elective Courses | 9 |
| 2 | 3 Elective Courses AIN 500 Master Thesis**, *** |
9 0 |
| 3 |
1 Elective Course |
3 0 0 0 |
| 4 | AIN 500 Master Thesis**, *** | 0 |
* A maximum of two elective courses related to Artificial Intelligence can be taken from the 4XX undergraduate technical elective courses of the Computer Engineering Program, or from relevant departments with the approval of the departmental academic board.
** The thesis advisor must be a faculty member from the METU NCC Computer Engineering, Software Engineering, or Cyber Security Engineering Program; however, co-advisors from other programs and institutions may be appointed.
*** The students should also register for the AIN 8XX course for the advisor assignment. XX is the section number for the AIN 500 course which is associated with the principal thesis advisor. For example, if the section number of the CNG 500 course is 2, the student should register for the AIN 802.