BSc Artificial Intelligence
March 5, 2025 2026-01-08 13:11Bachelor of Science in Artificial Intelligence
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Artificial Intelligence (AI) enables machines to learn from experience, adapt to new information, and perform tasks that typically require human intelligence. Today’s most visible AI applications—from chess-playing computers to self-driving cars—are powered by deep learning and natural language processing.
Through these technologies, computers can be trained to perform highly specialized tasks by processing vast amounts of data and identifying underlying patterns. This capability is transforming sectors such as healthcare, agriculture, transportation, engineering, manufacturing, retail, and banking.
BSc Artificial Intelligence at ACity
Advances in AI and machine learning present enormous opportunities across all areas of human activity, and they are set to reshape the technologies and workforces of the future.
In this program, students explore the ethical dimensions of Artificial Intelligence (AI), its strategic applications, and related fields such as robotics, informatics, and data analytics.
As our future industrialization efforts in key sectors—such as manufacturing, healthcare, and beyond—become increasingly driven by AI, it is essential to actively engage with these transformative technologies today.
The BSc in Artificial Intelligence aims to equip graduates with cutting-edge knowledge in computational and decision-making sciences. Students will learn to design and implement intelligent systems capable of accurate prediction, analysis, and decision-making, preparing them to drive innovation and solve real-world problems across industries.
Top Careers in Artificial Intelligence
Graduating students of this programme will be able to select, create, apply, integrate, and administer computing technologies in order to meet the needs of users within societal and organizational contexts. Some top career options include;
- Business Intelligence Developer
- Computer Vision Engineer
- Cyber Security Analyst
- Application Analyst
- Machine Learning Engineer
- Applications Developer
- AI Research Scientist
Entry Requirements
Minimum C6 in 6 subjects including 3 core subjects (English, Mathemathematics, Integrated/General Science) and 3 elective subjects. (Physics, Elective Mathematics + Chemistry OR any other elective relevant to the chosen Programme)
Minimum D or a pass in 6 subjects including 3 core subjects (English, Mathemathematics,
Integrated/General Science) and 3 elective subjects. (Physics, Elective Mathematics + Chemistry OR any other elective relevant to the chosen Programme)
Minimum of 5 credit passes in the IGCSE/O-Levels (English and Maths mandatorty) and 3 passes in the A-Levels. (Elective/Add/Further Maths and Physics mandatory)
Minimum of 5 credit passes in the IGCSE/
O-Levels (English and Maths mandatorty) and a minimum score of 4 points in 3 Higher Level (HL) subjects. (Elective/Add/Further Maths and Physics mandatory)
Minimum of 50% overall average pass. (subject to approval NAB) (Maths, English and Physics mandatory)
Minimum GPA of 3.0 (Maths, English and Physics mandatory)
Course Outline
- Communication Skills
- French Language
- Fundamentals of Innovation and Entrepreneurship (FIE) Seminar I
- Introduction to Programming with Python
- Physical Sciences
- Technology and Society
- Pre-Calculus (with MATLAB)
- Data Analysis using MS Excel
- Fundamentals of Innovation and Entrepreneurship (FIE) Seminar II
- Logic and Critical Thinking
- Text and Meaning
- Analytic Geometry and Calculus I (with MATLAB)
- Principles of Microeconomics
- Programming in C
- Financial Accounting I
- Introduction to Artificial Intelligence and Robotics
- Fundamentals of Innovation and Entrepreneurship (FIE) I
- Leadership Seminar I
- Analytic Geometry and Calculus I (with MATLAB)
- Fundamentals of Logic Design
- AI: Representation and Problem-Solving
- Data Structures and Algorithms
- Introduction to Computer Systems
- Object Oriented Programming with C++
- African Studies
- Fundamentals of Innovation and Entrepreneurship (FIE) II
- Probability, Statistics and Reliability (with MATLAB)
- Applied Linear Algebra (with MATLAB)
- Computer Architecture and Organisation
- Design and Analysis of Algorithms
- Signals and Systems
- Leadership Seminar II
- Applied Probability and Computing (with MATLAB)
- Discrete Mathematics (with MATLAB)
- Digital Signal Processing
- Great Theoretical Ideas in Computer Science
- Machine Learning
- Object Oriented System Design
- Project Management, Engineering Economics and Risk Analysis
- Computational Neural Networks
- Computer Vision
- Industry Internship
- Natural Language Processing
- Research Methods in Computing
- Autonomous Agents
- Computational Perception
- Intermediate Data Analytics
- Introduction to Deep Learning
- Project Phase I
- Speech Processing
- Professional Ethics and Values
- Advanced Data Analytics
- Intermediate Deep Learning
- Design of Artificial Intelligence Products
- Project Phase II
Why ACity
- Home to students from over 23 countries across africa
- Houses a digital makerspace and a technology & Entrepreneurial center for creative freedom & innovation
- A fully digitized campus with the fattest internet speed in a ghanaian university
- Experienced Faculty with industry experience. Student-to-faculty ratio 5:1
- 70% practical lessons
- Every ACitizen has the opportunity to do a work placement every vacation
