Bachelor of Science in Data Science & Artificial Intelligence

Reinvent the Future with Data & AI

In today’s data-driven world, Data Science and Artificial Intelligence are transforming industries, economies, and everyday life. From healthcare and finance to smart cities and autonomous systems, these technologies are shaping the future.

At Academic City, this programme equips students with the skills to analyse data, build intelligent systems, and develop AI-driven solutions that solve real-world problems.

Duration
4 Years
Language
English

Data Science & AI at ACity

The programme provides a strong foundation in mathematics, statistics, and computing, combined with hands-on experience in machine learning, data analytics, and AI system development.

Students will:

Graduates are prepared to lead innovation in a rapidly evolving digital economy.

Top Careers in Data Science & AI

Entry Requirements

Applicants must obtain passes (A–D) in six (6) subjects comprising:

  • Three (3) core subjects, including English Language, Mathematics, and Integrated Science or Social Studies 
  • Three (3) relevant elective subjects, including Additional/Further/Elective Mathematics and relevant electives such as Physics, ICT, Agriculture, Chemistry, Applied Electricity, Computer Studies, Economics, Technical Drawing, Biology, Statistics, Electronics, Financial Accounting, Graphic Design, Geography, Government, or History 

Applicants must obtain passes (A1–C6) in six (6) subjects comprising:

  • Three (3) core subjects, including English Language, Mathematics, and Integrated Science, General Science, or Social Studies 
  • Three (3) relevant elective subjects selected from areas such as Additional/Further/Elective Mathematics, Physics, ICT, Agriculture, Chemistry, Applied Electricity, Computer Studies, Economics, Technical Drawing, Biology, Statistics, Electronics, Financial Accounting, Graphic Design, Geography, Government, History, Business, Technical, or Vocational studies relevant to the programme 

Minimum Requirement

  • Minimum grade accepted: C6 

Applicants must obtain passes in three (3) A-Level subjects, with at least one pass at Grade D or better. Subjects must include Additional/Further/Elective Mathematics and Physics, plus one other relevant elective subject.

Applicants must also possess credit passes (Grade C or better) in five (5) GCE O-Level subjects, including English Language, Mathematics, and a Science subject.

Applicants must have a minimum overall score of 10.0 or above.

Applicants must obtain Grades A*/A–C in English, Mathematics, and Science at the Standard Level (SL)/O-Level, in addition to passes in three (3) Higher Level (HL), A-Level, or IB subjects.

Applicants must possess five (5) O-Level credits, including English Language and Mathematics, plus passes in three (3) relevant A-Level subjects.

Applicants must possess a Grade 13 qualification with a minimum GPA of 2.50.

All foreign applicants will have their qualifications for consideration for admission referred to GTEC for determination of equivalences and eligibility for admission to tertiary institutions in Ghana.

bba business administration

Electives

AI & Emerging Technologies

Course Outline

  • Communication Skills I
  • French Language I
  • Introduction to Programming
  • Technology and Society
  • Pre-Calculus
  • Introduction to Data Science
  • Introduction to Artificial Intelligence
  • Introduction to Computing & Programming
  • Principles
  • Communication Skills II
  • French Language II
  • Introduction to Philosophy
  • Calculus I
  • Probability & Statistics I
  • Linear Algebra
  • Introduction to Economics
  • Fundamentals of Innovation and Entrepreneurship (FIE) (Seminar I)
  • Calculus II
  • Concept of African Leadership I
  • Machine Learning Fundamentals
  • Probability & Statistics II
  • Data Analytics and Visualisation
  • Programming for Data Science
  • Concept of African Leadership II
  • Fundamentals of Innovation and Entrepreneurship (FIE) (Seminar II)
  • Applied Regression and Multivariate Analysis
  • Computer Vision and Image Processing
  • Data Engineering and Database Systems
  • Natural Language Processing (NLP)
  • Discrete Mathematics
  • Fundamentals of Innovation and Entrepreneurship (FIE) I
  • Calculus II
  • African Leadership I
  • Machine Learning Fundamentals
  • Probability & Statistics II
  • Data Analytics & Visualisation
  • Programming for Data Science
  • African Leadership II
  • Fundamentals of Innovation and Entrepreneurship (FIE) II
  • Applied Regression & Multivariate Analysis
  • Computer Vision & Image Processing
  • Data Engineering & Database Systems
  • Natural Language Processing
  • Discrete Mathematics
  • Cloud Computing
  • Professional Ethics & Values
  • Reinforcement Learning
  • Elective I
  • Elective II
  • Project Phase I
  • Autonomous Agents
  • Computer Modelling & Simulation
  • Elective III
  • Elective IV
  • Project Phase II

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.

Let's Get Started