Master of Science in Artificial Intelligence

Master of Science in Artificial Intelligence

Programme Summery

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).

Entry Requirements

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.
Course Details

Year 1, Semester I Courses
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

Year 1, Semester II Courses: Artificial Intelligence and Data Science
S/N CODE COURSE TITLE LH PH CH CU
1 MAI8201 Computer Vision 30 90 60 4
2 MCF8115 Data Mining and Big Data Analysis 30 90 60 4
3 MAI8202 Data Visualization 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 1, Semester II Courses: Systems and Robotics
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

  
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
Target Group
  • 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.
Master of Science in Artificial Intelligence
Accreditation Status
Accredited
Tuition for East Africans
Ugx 2,000,000
Tuition for International Students
Ugx 3,000,000
Accreditation Details
Date of Accreditation Date Due for review Comment
March 2023 Feb 2028 Up to date