BSc Computer Science

Shape the Future with Innovation in AI, IoT & Robotics.

Reinvent the Future

The US Bureau of Labour Statistics projects a 24% growth for Computer Science jobs through 2026. This statistic represents significant opportunities for Computer Science students as they prepare for the world of work. Computer science programs around the world continue to evolve, driven by technological advancements and industrial requirements. They constitute the creative minds behind computer programs. Many computer scientists working across multiple geographic regions collaborate to develop applications that allow people to do specific tasks on a computer or another device. Some are involved in the development of the underlying systems that run the devices or that control ubiquitous networks across the globe.

Ghanaian Students
GH₵ 41,580
International Students
USD 2,310
Duration
4 Years
Language
English

BSc Computer Science at ACity

Top Careers in BSc Computer Science

Some possible career options with a degree in Information Technology include:

Entry Requirements

Minimum C6 in 6 subjects including 3 core subjects (English, Mathematics, Integrated/General Science) and 3 elective subjects. (Physics, Elective Mathematics + Chemistry OR any other elective relevant to the chosen Program)

Minimum D or a pass in 6 subjects including 3 core subjects (English, Mathematics, Integrated/General Science) and 3 elective subjects. (Physics, Elective Mathematics + Chemistry OR any other elective relevant to the chosen Program)

Minimum of 5 credit passes in the IGCSE/O-Levels (Mathematics and English mandatory) and 3 passes in the A-Levels. (Elective/Add/Further Mathematics and Physics mandatory).

Minimum of 5 credit passes in the IGCSE/O-Levels (Mathematics and English mandatory) and a minimum score of 4 points in 3 Higher Level (HL) subjects. (Elective/Add/Further Mathematics and Physics mandatory)

Minimum of 50% overall average pass. (subject to approval NAB) Mathematics, English and Physics mandatory

Minimum GPA of 3.0 (Mathematics, English and Physics mandatory)

Electives

Biomedical Engineering

Course Outline

  • Communication Skills
  • Data Analysis (using MS Excel)
  • French Language
  • Fundamentals of Innovation and Entrepreneurship (FIE) Seminar I
  • Introduction to Programming with Python
  • Physical Sciences
  • Pre-Calculus (with MATLAB)
  • Technology and Society
  • Analytic Geometry and Calculus I (with MATLAB)
  • Emerging Technologies
  • Financial Accounting I
  • Fundamentals of Innovation and Entrepreneurship (FIE) Seminar II
  • Introduction to Electrical and Electronics Engineering
  • Logic and Critical Thinking
  • Programming in C
  • Text and Meaning
  • Analytic Geometry and Calculus II (with MATLAB)
  • Data Structures and Algorithms
  • Fundamentals of Innovation and Entrepreneurship (FIE) I
  • Fundamentals of Logic Design
  • Introduction to Operations Research
  • Leadership Seminar I
  • Object-Oriented Programming with C++
  • African Studies
  • Applied Linear Algebra (with MATLAB)
  • Computer Architecture and Organisation
  • Design and Analysis of Algorithms
  • Fundamentals of Innovation and Entrepreneurship (FIE) II
  • Probability, Statistics, and Reliability (with MATLAB)
  • Programming with Java
  • Computer Networks
  • Database Systems
  • Discrete Mathematics (with MATLAB)
  • Leadership Seminar II
  • Numerical Methods (with MATLAB)
  • Object-Oriented System Design
  • Operating Systems
  • Web Technologies
  • Computer Graphics and Multimedia
  • Distributed Computing
  • Industry Internship
  • Principles of Compiler Design
  • Project Management, Engineering Economics and Risk Analysis
  • Research Methods in Computing
  • Software Engineering
  • Computer Security
  • Computer Systems Programming
  • Human-Computer Interaction
  • Project Phase I
  • Technical Elective – I
  • Technical Elective – II
  • Introduction to Artificial Intelligence
  • Mobile Computing
  • Professional Ethics and Values
  • Project Phase II
  • Technical Elective – III
  • Technical Elective – IV

Why ACity

Our Unique Learning Pillars

Experiential Learning

Hands-on learning to prepare students to readily apply concepts, to easily integrate into the workspace.

Contextual Learning

Solving real grass-root problems to expose students to the local context and develop empathy towards the continent’s progress.

Unified
Learning

A project-based approach that combines concepts across courses to connect the dots and enable unified learning.

Extensional Learning

Arms students with a viable toolkit to help them confront real-life issues, they may not have encountered during their academic life, squarely.

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