Part I – When to Join

Intakes are in January, May and September.

Part II – Requirements

Rationale of the Programme

The Msc.Data Science curriculum draws upon social sciences, computer science, mathematical sciences, statistics, management, and law. Students use the latest tools and 

analytical methods to work with data at scale, derive insights from complex and unstructured data, and solve real-world problems. The programme is anchored on relevant learning theories and principles and seeks to produce, through relevant theories and hands-on training, competent data scientists to effectively support various sectors such as communications, manufacturing, banking and finance, education, transportation, entertainment, medicine, agriculture, and law with special focus on their Cooperative sub-sectors.

Drawing on insights from the social sciences, computer science, statistics, management, and law, this multidisciplinary curriculum prepares students to use the latest tools and analytical methods  to interpret and communicate their findings.


Must be a holder of a Bachelor’s degree in Computer Science/Information Technology/Mathematical Sciences (with adequate computing units) or a related discipline with at least;

  1. Upper second class honors degree or cumulative Grade Point Average ( GPA) of 3.0 on a scale of 4.00; or
  2. Lower Second Class Honors or cumulative GPA of 2.50 on a scale of 4.00 with additional relevant training, evidence of research capacity through research, presentations or peer-reviewed publications and relevant working experience of two years,


Part III – Approximate Fees & Projected Study Schedule

Course Outline and More