MSc in Data Science

Mode of study
Hybrid (Online and In-person)

Duration
12 months

Campus
East Legon

Local Fees / year
GH₵ 23,805.00

International Fees / year
GH₵ 26,910.00

Entry year
2024-2025

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The Master in Data Science programme integrates theoretical foundations with practical experience to prepare graduates for roles in industry, research, and academia. The curriculum offers flexibility for specialization in areas such as artificial intelligence, big data, financial data analysis, and bioinformatics.

The programme covers 12 months of lectures and practical computing sessions, focusing on the theory and application of modern statistical techniques for solving applied problems in industry, public services, commerce, and research.

Objectives of the MSc Programme:
Upon completion, students will be able to:

  • Exhibit thorough knowledge and comprehensive understanding of statistical concepts and data science methods applicable to their research.
     
  • Develop skills in testing hypotheses, developing new theories, planning and conducting experiments, and acquiring proficiency in relevant computer technologies.
     
  • Create an environment for developing skills in written work, oral presentation, and publishing research in high-profile scientific journals.
     
  • Demonstrate proficiency in statistical software packages appropriate for data analysis.
     
  • Apply knowledge in advanced scientific writing and oral presentation skills.
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Course Objectives

Technical Competence in Computer Science

One of the key benefits of pursuing a BSc Computer Science with Management degree is the solid foundation in computer science it provides. From programming languages to algorithms, database management to software development, you will gain a comprehensive understanding of the technical aspects of computer science. These skills will enable you to design and develop software systems, analyze complex data sets, and tackle real-world computational problems

Business Acumen and Management Skills

In addition to in-depth technical knowledge, this degree program equips you with essential business acumen and management skills. You will learn about organizational behavior, strategic management, project management, and entrepreneurship. This unique combination of computer science and management will make you well-rounded and better prepared to take on leadership roles in the tech industry.

Entry Requirements

This course creates a platform for an advanced financial education and you will explore a systematized flow and management of money and assets. Banking and Finance affords you an endless career options as you acquire expert knowledge, skill-set and requisite fundamentals of the financial world.

• First degree with at least a Second Class Lower Division in Statistics, Mathematics, Actuarial Science, or any quantitative-related programme with substantial mathematical content.

• Holders of a 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.

All foreign qualifications will be referred to the Ghana Tertiary Education Commission (GTEC) for determination of equivalences and eligibility.

Academic Modules

  • GSDS 551: Programming for Data Science
  • GSST 553: Probability Theory and Distributions
  • GSDS 555: Mathematics for Data Science
  • GSST 557: Data Engineering
  • GSDS 559: Data Visualisation
  • GSDS 561: Optimisation Methods in Data Science (Elective)
  • GSDS 563: Applied Time Series and Forecasting (Elective)

  • GSST 568: Statistical Inference
  • GSST 570: Research Methods and Ethics
  • GSDS 562: Machine Learning
  • GSST 574: Advanced Statistical Methods
  • GSST 578: Econometrics (Elective)
  • GSDS 582: Financial Data Analysis (Elective)

  • GSDS 571: Deep Learning
  • GSDS 573: Data Management
  • GSDS 575: Artificial Intelligence and Ethics
  • GSDS 577: MSc Dissertation
  • GSDS 579: Computer Vision (Elective)
  • GSDS 581: Reinforcement Learning (Elective)

Career Prospects

Graduates of the MSc in Data Science programme can pursue diverse career paths, including:

Industry:
• Data Scientist
• Statistician,
• Quantitative Analyst,
• Research Scientist in sectors like finance, healthcare, technology, and consulting.

Government: Positions in statistical agencies, research institutions, and policy analysis.

Non-Profit and Private Sector: Roles in organizations focusing on data-driven decision-making and research.

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Career Prospects

Graduates of the MSc in Data Science programme can pursue diverse career paths, including:

Industry:
• Data Scientist
• Statistician,
• Quantitative Analyst,
• Research Scientist in sectors like finance, healthcare, technology, and consulting.

Government: Positions in statistical agencies, research institutions, and policy analysis.

Non-Profit and Private Sector: Roles in organizations focusing on data-driven decision-making and research.

Why choose MSc in Data Science

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Tuition costs

Explore detailed information about our tuition costs and payment options. We are committed to providing a transparent and affordable education for all our students.

Domestic fees

4-month semesters

Year 1 Semester Fees
23,805.00 (12 credit minimum)

Year 2 Semester Fees
None (12 credit minimum)

Year 3 Semester Fees
None (12 credit minimum)

Year 4 Semester Fees
None (12 credit minimum)

  • Total
  • $21,490

International fees

4-month semesters

Year 1 Semester Fees
26,910.00 (12 credit minimum)

Year 2 Semester Fees
None (12 credit minimum)

Year 3 Semester Fees
None (12 credit minimum)

Year 4 Semester Fees
None (12 credit minimum)

  • Total
  • $21,490
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