Programming proficiency in Python, Java, C++, and AI development frameworks.
Machine Learning algorithm design, implementation, and optimization.
Data Science, statistical analysis, and predictive analytics.
Computer Vision for image and video analysis.
Robotics and intelligent automation systems.
Cloud-based AI model deployment and MLOps.
General Minimum Entry Requirements for Admission
Completed A-Level studies before 2014
Completed Foundation Programme of the Open University of Tanzania (OUT) with a GPA of 3.0 accumulated from six subjects and at least a C grade from three core subjects in Science (including Mathematics) PLUS An Advanced Certificate of Secondary Education Examination with at least 1.5 points (i.e. an āEā and āSā) from Physics and Mathematics
Two principal passes in the following subjects: (Advanced Mathematics, Biology, Physics or Chemistry) with a total of 4.0 points from Two Subjects defining the admission into the respective programme (where A = 5; B+ = 4; B = 3; C= 2; D = 1) or Foundation Programme of the OUT with a minimum GPA of 3.0 in Science Cluster.
Full Technician Certificate (FTC) in Mechanical, Maritime, Automotive, Automobile, Mechatronics, Industrial, Industrial Design, Electrical, Electronics Electromechanical, Aerospace, Aircraft Maintenance Engineering, Aeronautical, Robotics, Production Engineering with an average of C PLUS possession of Certificate of Secondary Education Examination (CSEE) with a pass in Mathematics, Physics, Chemistry and any other subject.
The Bachelor of Science in Artificial Intelligence and Machine Learning (BSc AI & ML) is a comprehensive undergraduate programme that equips students with the knowledge and practical skills required to design, develop, and deploy intelligent systems. The programme combines strong foundations in computer science, mathematics, data science, and software engineering with specialized training in artificial intelligence, machine learning, deep learning, natural language processing, and computer vision.
Students gain hands-on experience using modern AI tools, frameworks, and programming languages to solve real-world problems across industries such as healthcare, finance, agriculture, education, manufacturing, cybersecurity, and smart cities. Graduates are prepared for careers in AI development, data science, machine learning engineering, research, and intelligent systems design.
Artificial Intelligence & Machine Learning
AI & Data Science Frameworks
Databases
Cloud Computing & AI Services
Cybersecurity & AI Security
Education is the foundation of all we do in life. It shapes who we are and what we aspire to be.
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