BSc Artificial Intelligence
March 5, 2025 2025-03-06 7:23BSc Artificial Intelligence
Embracing the Future with AI Innovation
Go a Step Further with Smart Tech
Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that we hear about today – from chess-playing computers to self-driving cars – rely heavily on deep learning and natural language processing.
Using these technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data in Health Care, Agriculture, Transportation, Engineering, Manufacturing, Retail, Banking, etc.
These advanced in AI and Machine Learning offer tremendous opportunities across the spectra of human endeavors and are poised to reshape future technologies and workforces.
BSc Artificial Intelligence at ACity
In this program, we explore the ethical dimensions of AI, its strategic impact as well as the core programs and adjacencies such as robotics, informatics, and data analytics.
Our future industrialization efforts across the spectrum of key strategic areas such as manufacturing, healthcare etc. are pivoted around artificial intelligence, hence, we can no longer wait to join the AI and robotic wagon.
The aim of the BSc in Artificial Intelligence (AI) is to equip our graduates with knowledge in emerging advances in computational, decision-making sciences and technologies that allow computers and machines to function in an intelligent manner both in accurate prediction of events and outcomes.
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 4points 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)
Electives
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
