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Postgraduate · Graduate School

Doctor of Statistics & Data Science

The Doctor of Statistics and Data Science Programme is a course-based postgraduate programme designed for individuals seeking to engage in high-level research and application of statistical and data science methodologies. This program typically blends theoretical and practical elements from both fields, preparing graduates for roles in industry and government agencies. The programme has a 3-year duration (maximum 5 years) during which the student will be generating new knowledge from existing information. Qualified students would typically have a strong background in mathematics and would be expected carry out a programme of research under the supervision of a primary supervisor and one or more co-supervisors. The Doctor of Statistics and Data Science program equips students with deep expertise in both theoretical and practical aspects of the fields, preparing them for advanced research and professional roles

All postgraduate programmes
Level
Postgraduate
School
Graduate School
Duration
3 Years Full Time
Credits
91 credits
Next intake
October 2026 and March 2027
Fees
GHS 20,700 per academic year (domestic) · GHC 22,080 per year (international).
Mode
Blended
Application deadline
23rd October 2026
Award
PhD / Doctorate

Curriculum

Indicative modules. Specific options vary by year and cohort.

Semester 1

  • Advanced Probability Theory DSDS 703 Mathematical Foundation for Data Science DSDS 705 Data Management and Big Data Technologies DSDS 707 Machine Learning and Predictive Analytics DSDS 709 Computational Statistics and Data Analysis (Using R

Semester 2

  • Python and MATLAB) DDRS 701 Advanced Academic Writing

Entry requirements

  • Candidates with a Master’s degree in Statistics, Actuarial Science, Mathematics or Data Science or any related discipline and having CGPA of 3.0 or better, with not more than one grade C+ or lower in Research Methods can be admitted directly into the programme.
  • Candidates with a Master’s degree in Statistics, Actuarial Science, Mathematics or Data Science or any related discipline and having CGPA lower than 3.0 with relevant working experience may be considered
  • Two letters of recommendation from academic or professional referees who can attest to the applicant’s capabilities and potential for success in a doctoral program
  • A statement of purpose (500-1,000 words) that explains the candidate's motivation for pursuing the Doctor of Statistics and Data Science program, career goals, and how the program aligns with their professional aspirations.
  • English language: IELTS 7.0 (no band below 6.5) or equivalent for international candidates
  • 5.All foreign qualifications shall be referred to the Ghana Tertiary Education Commission for determination of equivalences and eligibility for admission.
  • Online Graduate Interview

Graduation requirements

  • Participate in at least two seminars and one conference • Present a capstone project of three to six months duration
  • Present two mandatory seminars • Submit all necessary forms to file for graduation
  • Satisfy all financial obligations to the university • Complete all degree requirements within the approved timeline

Career prospects

Data ScientistStatisticianResearch Scientist / ConsultantQuantitative Analyst