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Master of Science in Artificial Intelligence
The rapid evolution of computing in the last century has transformed our world. Industries in every field are becoming more and more productive and efficient. The UN highlights the critical role of science, technology and innovation in achieving the Sustainable Development Goal (SDGs).SDG goals cannot be achieved without the effective, appropriate, and inclusive application of science,technology, and innovation. Tjoa (2016) also highlights the enormous potential of ICT to accomplish the SDGs, which cover the three dimensions of economic prosperity, social equity and environmental sustainability in 2030. Adding that no other domain in the recent past had such a strong influence on the development of countries and societies than information and communication technologies (ICTs), especially in driving today’s innovation, efficiency and effectiveness across all sectors. The proposed programme intends to address SDG4 (Quality education) and 9 (Generating employment and income through innovation).
Code: | MSA |
Duration: | 2 YRS |
Study Time: | Day |
Faculty: | Faculty of Engineering and Technology (BUSITEMA) |
Department: | Department of Computer Engineering |
Attachments: | Download this programme |
To be eligible to apply for the Master of Science in Artificial Intelligence , the candidate must hold any of the following:
- A Bachelor’s degree in Computer Science of second-class lower division and above from a recognised university, or
- A Bachelor’s degree of second-class lower division and above in Computer Engineering, or
- A Bachelor’s degree of second-class lower division and above in Software Engineering, or
- A Bachelor’s degree of second-class lower division and above in an Engineering field or
- Information Technology with a strong foundation in programming, data structures, algorithms, and mathematics, or any other field of Science with a Computer Science option.
Date of Accreditation | Date Due for review | Comment |
March 2023 | Feb 2028 | Up to date |
- The Master of Science in Artificial Intelligence is aimed at telecom engineers, computer scientists, software developers, researchers, developers of robotic and industrial automation systems, etc., those seeking to enhance their understanding of computer science.
Tuition Fees per Semester (East African) | Tuition Fees per Semester (International Students) |
Ugx 2,000,000 | Ugx 3,000,000 |
Functional Fees (Where Applicable) | Optional | ||||||||||||||||||||||||||||||||||||||||||
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- +256774820997
Year 1, Semester I Courses |
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S/N | CODE | COURSE TITLE | LH | PH | CH | CU |
1 | MAI8101 | Theoretical Computer Science | 30 | 90 | 60 | 4 |
2 | MAI8102 | Machine Learning | 30 | 90 | 60 | 4 |
3 | MAI8103 | Structures and Interpretation of Computer Programs | 30 | 90 | 60 | 4 |
4 | MAI8104 | Robotics and Intelligent Systems | 30 | 90 | 60 | 4 |
5 | MAI8105 | Design Innovation and Professional Development | 30 | 90 | 60 | 4 |
Total CUs | 20 |
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Year 1, Semester II Courses: Systems and Robotics |
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S/N | CODE | COURSE TITLE | LH | PH | CH | CU |
1 | MAI8205 | Human Computer Interaction | 30 | 60 | 60 | 4 |
2 | MAI8206 | Mechatronics for Robotics | 30 | 90 | 60 | 4 |
3 | MAI8207 | Mobile Robotics and Autonomous Systems | 30 | 90 | 60 | 4 |
4 | MCF8215 | Research Methodology | 45 | 45 | 60 | 4 |
Electives: (Choose One) | ||||||
5 | MAI8203 | Telerobotics | 30 | 90 | 60 | 4 |
6 | MAI8204 | Deep Learning | 30 | 90 | 60 | 4 |
7 | MCF8204 | Cyber crime and digital Forensics | 30 | 90 | 60 | 4 |
Total CUs | 20 |
Year 2, Semester I and II Courses |
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S/N | CODE | COURSE TITLE | LH | PH | CH | CU |
1 | MAI9101 | Research seminar series | 30 | 45 | 45 | 3 |
Research Proposal | ||||||
2 | MAI9102 | Master's Dissertation | 265 | 255 | 17 | |
Minimum total CUs to be Taken |
20 |