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Doctor of Philosophy (PhD.) Statistics

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At Dominion, the PhD Statistics aims to develop statistician not only for academia but also our sphere of life as leaders in such endeavours as law, finance, technology, government, industry and medicine. The three main goals of this programme are to equip students to demonstrate understanding  of statistical concepts, demonstrate proficiency in analysing data using appropriate methods and be proficient with statistical software packages appropriate for needed data analysis. This Graduate programme is a stepping stone to a successful career in statistics.



Course Content

The PhD Statistics programme has three major components which are Seminars, Research Methodology and Data Analysis and Advanced Academic Writing.

Components of Year 1

In the first year after enrolment, a student will be assigned to a supervisor who will provide guidance and support throughout the PhD programme. The Supervisor will be an expert in the field and will be the student’s most important contact. He will also be on hand to guide the student from day one agreeing  on research project that is original and feasible and advising the student on all aspects of the research and thesis preparation.

At the end of the first month, students will be required to complete a training plan with his/her supervisor. This training plan will be tailored to reflect the responsibilities , current project/research interest, and future employment. Also at the end of the first semester, students will be required to complete Research Methodology and Data Analysis, a  non-credit course.

Components of Year 2

In year 2, students will be required to consolidate all work undertaken so far and deepen their understanding  in their chosen areas of research. Students at this time will be gaining some preliminary results and outcomes for their final thesis, which will be presented during the second year seminar. Students at this time will have opportunities to attend and present at conferences and research events. This will allow them to network with colleagues and peers from the wider academic community at national and international events, and also have opportunities to hear about the latest research happening in their chosen area of research. Students are therefore encouraged to participate in appropriate seminars which provide an ideal opportunity to gain valuable experience of communicating ideas to an audience while also receiving feedback; they also help to set future research directions. At the end of the second year a submission of a paper for either a scientific journal or conference will be expected from students.

Components of Year 3

The third year is the PhD Statistics requires a student to prepare towards the completion of his or her thesis of up to 80,000 words which describes the research and original contribution to knowledge. The prepared thesis will be submitted for examination at the end of the 3rd year and it will be followed by the viva examination.

Throughout your time at Dominion, you will have access to a broad programme of skills training and professional development by constant interaction with your supervisors. This is part of the curriculum to aid students in the completion of their research effectively as well as keep them at the leading edge of the development in teaching and learning, innovation, enterprise, and knowledge transfer that will help them to succeed in their future employment. You will become part of a vibrant community of researchers.

PhD Preparatory Year 

(For Applicants without MSc in Statistics, Actuarial Science, Mathematics or Econometrics)

Dominion University offers a year preparatory  programme for all Doctoral students admitted without an MSc. in disciplines other than Statistics, Actuarial Science, Mathematics or Econometrics. The first year consists of taught courses  followed by three years of research.  The total minimum number of credits for this preparatory year is 36 with each trimester carrying 12 credits.

Trimester I

Core Courses 

  • Advanced Statistical Methods
  • Probability Theory and Distribution
  • Advanced Design and Analysis of Experiments
  • Regression Analysis

Elective Course (Select at least one)

  • Environmental Statistics
  • Longitudinal Data Analysis
  • Applied Time Series and Forecasting
  • Life Contingency I
  • Economics Statistics

Trimester II

Core Courses 

  • Statistical Inference
  • Research Methods
  • Bayesian Statistics
  • Multivariate Data Analysis

Elective Course (Select at least one)

  •  Applied Stochastic Models
  • Econometrics
  • Life Contingency II
  • Demographic Models


Trimester III

Core Courses 

  • Survival Data Analysis
  • Advanced Sample Survey
  • MSc Dissertation

Elective Courses (Select at least one)

  • Operations Research
  • Actuarial Models
  • Financial Mathematics
  • Epidemiology
  • Population Analysis and Official Statistics

Entry Requirements

MSc./MPhil Holders (1 year Full Research)

Applicants with research Masters, (i.e MSc./MPhil. who have conducted one full year research) in Statistics or related area, can be admitted directly into the PhD programme.

MSc./MPhil Holders 

Exception is given to non-research master’s degree holders with technical background having CGPA of 3.5 or better and with not more than grade C+ or lower and B+ or better in Research Methods. In such exceptional cases, applicant’s can be admitted directly into the PhD programme.


Fees & Payment


Mode  Duration Fees (GHS) Year 1 Year 2 Year 3
Weekend  36 Months  36,000.00 12,000.00 12,000.00 12,000.00


NB: Students are allowed an instalment payment plan of GHS 12,000.00 per year for the 3 durations of the PhD Statistics programme. 


Mode  Duration Fees (GHS) Year 1 Year 2 Year 3
Weekend  36 Months  45,000.00 15,000.00 15,000.00 15,000.00


NB: Students are allowed an instalment payment plan of GHS 15,000.00 per year for the 3 durations of the PhD Statistics programme. 


Students with MSc. Statistics/Mathematics admitted directly onto the PhD programme are required to complete their work in a minimum of three (3) years and a maximum of five (5) years.

Students with MSc background in fields of study other than Statistics/Mathematics will admitted into the preparatory programme are required to complete their work in a minimum of four (4) years and a maximum of six (6) years.

After six (6) years, if you have not completed the PhD programme, he or she will be withdrawn from the programme resulting in termination of the PhD Statistics registration.

Career Opportunities

At the end of your journey in PhD Statistics, some fields of employment and areas of career prospects include;

  • Academia
  • Government/Public Organisations
  • Marketing Services
  • Financial Services
  • Healthcare Services
  • Research and Development Firms
  • Bio-Pharmaceutical Industries
  • Not-for-Profit Sector