Southshore University College (Formerly Dominion University College)
PhD - Statistics and Data Science
Intake Period(s):
Private
University
Domestic
GHS 0.00
International
USD 0.00
Programme Overview
The Doctor of Statistics and Data Science (DSDS) programme at Dominion University College is primarily a course-based postgraduate programme designed for individuals seeking to engage in high-level research and application of statistical and data science methodologies.
This advanced academic degree blends theoretical and practical elements, preparing graduates for roles in industry and government agencies.
Students are expected to generate new knowledge from existing information and typically have a strong background in mathematics, carrying out research under the supervision of faculty.
Students will:
Exhibit a thorough knowledge and comprehensive understanding of statistical concepts and data science methods and techniques applicable to their research.
Be able to develop skills in testing hypotheses, developing or appreciating new theories, planning and conducting experiments, developing practical knowledge, and acquiring proficiency in the use of computer technologies relevant to statistics.
Be able to create the environment for the development of skills in written work, oral presentation, and publishing the results of their research in high-profile scientific journals.
Demonstrate proficiency in statistical software packages appropriate for statistical data analysis.
Apply knowledge in advanced scientific writing and oral presentation skills during the programme.
Capstone Project Supervision
Students will carry out a capstone project, integrating and applying knowledge and skills acquired throughout the study to a real-world or complex problem. This project is undertaken under the supervision of a primary supervisor and one or more co-supervisors, with regular documented meetings.
Proposal Review
An initial seminar will be held, typically at the end of the first year, where students present their project proposals for feedback and finalization. Faculty will provide inputs to fine-tune the proposal for acceptance and approval. If a proposal is deemed shallow, the student will undertake further research and present an improved proposal for approval.
Seminars and Workshops
Regular participation in seminars, workshops, and conferences is expected to keep you current with industry trends and research developments. Two mandatory seminars are required during the study period, providing opportunities for students to discuss research, receive feedback, and engage in intellectual dialogue with faculty and peers.
Domestic Requirements
Category A
Candidates with a Master's degree in Statistics, Actuarial Science, Mathematics, or Data Science, or any related discipline, and a 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.
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
Category B
Candidates with a Master's degree in Statistics, Actuarial Science, Mathematics, or Data Science, or any related discipline, and a 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 programme.
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.
Candidates with a Master's degree in Statistics, Actuarial Science, Mathematics, or Data Science, or any related discipline, and a 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.
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
Category B
Candidates with a Master's degree in Statistics, Actuarial Science, Mathematics, or Data Science, or any related discipline, and a 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 programme.
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.
International Requirements
Category A
Candidates with a Master's degree in Statistics, Actuarial Science, Mathematics, or Data Science, or any related discipline, and a 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.
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
Category B
Candidates with a Master's degree in Statistics, Actuarial Science, Mathematics, or Data Science, or any related discipline, and a 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 programme.
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.
Candidates with a Master's degree in Statistics, Actuarial Science, Mathematics, or Data Science, or any related discipline, and a 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.
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
Category B
Candidates with a Master's degree in Statistics, Actuarial Science, Mathematics, or Data Science, or any related discipline, and a 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 programme.
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.
Programme Details
Certificate Type
Mode of Study/teaching
Time of Study
Duration
3 Years
Campus Region & Location
Region: Greater Accra
Location: East Legon, Accra
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