Curriculum
Indicative modules. Specific options vary by year and cohort.
Semester 1
- Foundations of Applied Doctoral Research
- Advanced Statistical Methods
- Machine Learning at Scale
Semester 2
- Research Ethics
- Reflective Practice
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
