Bachelor of Science in Artificial Intelligence
3 years
9 trimesters
Instructor-led
Scheduled classes
JANUARY, MAY, AUGUST
Rolling admission
Earn your credentials
Receive a degree
Tuition Structure
- Online $250 (Ugx 925,000) per Term
- On campus $375 (Ugx 1,400,000) per Semester
About this course
The Bachelor of Science in Artificial Intelligence is a rigorous interdisciplinary program designed to equip students with a deep understanding of the principles and techniques driving intelligent systems. The curriculum integrates foundational knowledge in computer science, mathematics (including calculus, linear algebra, and statistics), and programming with specialized AI topics. Students will delve into algorithms for problem-solving, knowledge representation, and intelligent agent design. The program emphasizes practical application through laboratory work, individual and team projects, and potential internships. Furthermore, it explores the ethical and societal implications of AI, fostering responsible innovation. Graduates will be prepared for diverse careers in AI research and development across various industries or for advanced studies in specialized AI fields. This program fosters critical thinking, analytical reasoning, and the ability to adapt to the dynamic advancements within artificial intelligence.
Learning Outcomes
At the end of this program, graduates will be able to:
- Apply fundamental mathematical and statistical concepts to analyze and solve problems in artificial intelligence.
- Design, implement, and evaluate machine learning models for various applications, including classification, regression, and clustering.
- Develop intelligent systems using techniques in areas such as natural language processing, computer vision, and robotics.
- Critically analyze the ethical and societal impact of AI technologies and propose solutions for responsible development and deployment.
- Conduct independent research and contribute to the advancement of knowledge in the field of artificial intelligence.
Admission Criteria
Direct Entry Scheme
- Must meet NCHE’s general minimum entry requirements.
- Foreign Students must be eligible for university admission in their home country and must show proof of English proficiency if previous studies were not in English.
Diploma Entry Scheme
- Must have passed English and Mathematics at UCE or equivalent and studied subjects like Mathematics and Physics at UACE and passed at least one.
- A Diploma (credit or distinction level) in a relevant field from a recognized institution.
Mature Age Entry
- Must have passed Mature Age Entry Exams from an institution accredited by NCHE.
- The certificate is valid for 2 years from the date of the exam.
What you will learn
Each year, you’ll study courses that contribute to a deeper understanding of the role AI can play in your career and organization.
Year One
Module 1: Communication and Presentation Skills
Module 2: ICT and Digital Literacy
Module 3: Introduction to Computing
Module 4: Applied Mathematics Fundamentals
Module 5: Creative Thinking and Digital Tools for Decision Making
Module 6: Ethics and Professionalism
Module 7: Programming Fundamentals
Module 8: Computer Architecture
Module 9: Computer Networks
Module 10: Software Engineering
Module 11: Data Structures and Algorithms
Module 12: Operating Systems
Year Two
Module 1: Leadership and Governance
Module 2: Web Development
Module 3: Machine Learning
Module 4: Data Visualisation
Module 5: Entrepreneurship and Community Development
Module 6: Natural Language Processing
Module 7: Cybersecurity Fundamentals
Module 8: Artificial Intelligence Basics
Module 9: Constitutionalism and Rule of Law
Module 10: Computer Vision
Module 11: Neural Networks
Module 12: Big Data Technologies
Year Three
Module 1: Research Methods and Capstone Project Proposal
Module 2: Database Management Systems
Module 3: Deep Learning
Module 4: IT Project Management
Module 5: Work-Based Learning – Internship I
Module 6: Human Computer Interaction and Robotics
Module 7: Fuzzy Logic
Module 8: AI Ethics and Governance
Module 9: Work – Based Learning – Internship II
Module 10: Capstone Project Report and Submission
Some facts about the programme
64%
The proportion of businesses that have seen a positive change in their KPIs as a direct result of integrating AI into their organizational processes. MIT Sloan Management Review (Nov, 2021).
92%
The vast majority of organizations report returns on their AI and data investments. NewVantage Partners (2022).