BSc Artificial Intelligence
March 5, 2025 2026-06-08 8:52Bachelor 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;
- Computer Vision Engineer
- Data Scientist
- AI Product Manager
- Machine Learning Engineer
- AI Research Scientist
- NLP Engineer (Natural Language Processing)
- Business Intelligence Developer
- AI FinTech Developer
Entry Requirements
Applicants must obtain credits in the following core subjects:
- English Language
- Core Mathematics
- Integrated Science or General Science
PLUS
Credits in three (3) elective subjects, including:
- Elective Mathematics
- Physics
- One other relevant elective subject
Required Aggregate
- 36 or better for WASSCE / NOV-DEC
- 24 or better for SSSCE / NOV-DEC
Applicants from other West African countries must obtain credits in recognised core subjects, including English Language, Core Mathematics, and relevant science or technical subjects such as Integrated Science, Environmental Studies, General Science, Agricultural Science, ICT, Data Processing, Computer Studies, or other recognised technical science subjects. Applicants must additionally obtain credits in three (3) elective subjects, including Elective Mathematics, Physics, and one other relevant elective subject.
Required Aggregate
- 36 or better for WASSCE / NOV-DEC
- 24 or better for SSSCE / NOV-DEC
Applicants must possess:
- Credits (Grade D or better) in five (5) GCE O-Level subjects, including English Language and Mathematics
PLUS
- Passes in three (3) A-Level subjects, including Mathematics and Physics
At least two (2) A-Level passes must be Grade D or better.
Applicants must have completed either the International Baccalaureate (IB) Diploma or Diploma Programme (DP) Course.
Applicants must obtain:
- Passes (IB Score 3–8) in subjects combining Standard Level (SL)/O-Level and Higher Level (HL)
- Mathematics and English must be included
IB qualifications will be referred to GTEC for verification and determination of eligibility for admission.
Applicants must possess:
- Five (5) O-Level credits, including English Language and Mathematics
- Passes in three (3) relevant A-Level subjects
Applicants must have completed the French Baccalaureate (Baccalauréat Général — Série Scientifique) with passes in a minimum of five (5) subjects.
Requirements include:
- Minimum score of 10/20 in each subject
One subject may have a minimum score of 8/20, provided the overall average across all five subjects is at least 10/20
Applicants must possess a Grade 13 qualification with a minimum GPA of 2.50.
All foreign qualifications will be referred to GTEC for determination of equivalence and eligibility for admission to tertiary institutions in Ghana.
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
