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Postgraduate · Graduate School

MSc Data Sciences

The Master in Data Science is designed to equip students with advanced knowledge and skills in data analysis, machine learning, and computational techniques to solve complex problems in various domains. The programme combines theoretical foundations with practical experience, preparing graduates for roles in industry, research, and academia. The curriculum integrates core subjects, electives, and project-based learning, offering flexibility for specialization in various areas such as artificial intelligence, big data, financial data analysis, and bioinformatics

All postgraduate programmes
Level
Postgraduate
School
Graduate School
Duration
1 years full-time · 2 years part-time
Credits
39 credits
Next intake
October 2026 · March 2027
Fees
GHS 23,805 per academic year (domestic) · GHC 26,910 per year (international).
Mode
Blended
Application deadline
23rd October 2026
Award
Masters

Curriculum

Indicative modules. Specific options vary by year and cohort.

  • GSDS 551 Programming for Data Science (3)
  • GSST 553 Probability Theory and Distributions (3)
  • GSDS 555 Mathematics for Data Science (3)
  • GSST 557 Data Engineering (3)
  • GSDS 559 Data Visualisation (3)

Entry requirements

  • First degree with, at least, Second Class Lower Division in Statistics, Mathematics and/or Actuarial Science or any quantitative-related programme with substantial mathematical content.
  • Holders of Postgraduate Diploma in Statistics.
  • Applicants with a third class in Statistics, Mathematics Actuarial Science or any quantitative-related programme with substantial mathematical content and proven competency.
  • A statement of purpose (500-1,000 words) that explains the candidate's motivation pursuing the Data Science program, career goals, and how the program aligns with their professional aspirations.
  • English language: IELTS 6.5 (no band below 6.0) or equivalent for international applicants
  • All foreign qualifications shall be referred to the Ghana Tertiary Education Commission for determination of equivalences and eligibility for admission.
  • 2 letters of recommendation

Graduation requirements

  • Students should have passed all registered taught courses, obtained a minimum of 39 credits, and achieved a minimum cumulative weighted average (CGPA) of 2.0 at the end of the programme.
  • Students should have submitted an MSc dissertation of at least 15,000 words.
  • Students are also required to give a seminar(s) and pass an oral examination on their theses.

Career prospects

Data ScientistQuantitative AnalystStatisticianData EngineerAI Specialist