MPhil Statistics is primarily a research based post-graduate programme engineered learners enrolled onto it to obtain new knowledge and consider new information in relation to existing information. The programme interprets statistics very broadly and permits specialisation in probability, statistical theory and analysis, biostatistics and interdisciplinary areas of application. This programme is also aimed at equipping graduates of MPhil Statistics with the statistical skills needed for their research activities.
The MPhil programme prepares students for careers as university teachers and researchers and as reproach statistician in industry, government and the non-profit sector. Qualified students would typically have a strong background in mathematics under the supervision of a primary supervisor and one or more co-supervisors. The programme offers opportunities for MPhil research in several areas of statistics. Depending on a particular research theme, necessary skills may include knowledge of advanced statistical concepts, design of experiments collection of data,, and analysis of data. The various modules for this course are outlined below:
Year 1. (MSc. Course Structure)
- Advanced Statistical Methods
- Probability Theory and Distributions
- Advanced Design and Analysis Experiments
- Regression Analysis
Elective course (Select at least one)
- Environmental Statistics
- Longitudinal Data Analysis
- Applied Time Series and Forecasting
- Life Contingency I
- Economic Statistics
- Statistical Inference
- Research Methods
- Bayesian Statistics
- Multivariate Data Analysis
Elective Course (Select at least one)
- Applied Stochastic Models
- Life Contingency II
- Demographic Models
- Survival Data Analysis
- Advanced Sample Survey
- MSc Dissertation
Elective Courses (Select at least one)
- Operations Research
- Actuarial Models
- Financial Mathematics
- Population Analysis and Official Statistics
- Seminar 1: Thesis Proposal
- Seminar 2: Experiential Research Learning
- Seminar 3: Thesis Update
- Seminar 4: Final Thesis Update Thesis
The entry requirements for MPhil at Dominion University College are as follows;
Degree Holders: Applicants with Bachelor’s degree in statistics or related disciplines such as Mathematics, Economics, and Actuarial Science with a minimum of Second Class Honours (Lower Division) will be admitted unto MPhil Statistics after passing their interviews with the Graduate Admission Committee.
MSc. Statistics Holders: Applicants possessing Master of Science (MSc.) in Statistics, or related disciplines such as Mathematics , Econometrics, and Actuarial Science will gain direct admission to do one year MPhil programme, after passing their interviews with the Graduate Admission Committee.
Foreign Certificates: All holders of foreign certificates are to submit their certificates to the Ghana Tertiary Education Commission (GTEC) previously NAB for evaluation and determination of equivalences as well as eligibility for admission onto the programme.
Fees & Payment
|Mode||Duration||Fees (GHS)||Year 1||Year 2|
|Weekend (First Degree Holders)||24 Months||27,000.00||15,000.00||12,000.00|
|Weekend (MSc Holders)||12 Months||15,000.00||N/A||12,000.00|
|Mode||Duration||Fees (GHS)||Year 1||Year 2|
|Weekend (First Degree Holders)||24 Months||33,000.00||18,000.00||15,000.00|
|Weekend (MSc Holders)||12 Months||15,000.00||N/A||15,000.00|
Candidates admitted onto the MPhil programmes having MSc. Statistics/Mathematics or econometrics background will have a minimum of one year and a maximum of three (3) years to complete their programme.
Holders of first degree admitted onto the MPhil programme shall complete their programme in a minimum of two (2) years and a maximum of three (3) years.
Applicants are to note that, if after three (3) years the MPhil programme has not been completed he or she shall be withdrawn from the programme.
At completion of the programme, students are required to fulfil all requirements in addition to those specified by the TALI Graduate School (TGS). These requirements include participation in at least two (2) seminars and three (3) conferences, present a thesis with original research (90 credits) and pass the Viva Voce, present two mandatory seminars, submit all necessary forms to file for graduation, satisfy all financial obligations to owed to the University and complete all degree requirements within the approved deadline.
At the end of the MPhil Statistics programme, graduates are likely to find themselves in the areas of Academia, Government, Marketing services, Financial services, healthcare services, Research and Development companies, Bio-pharmaceutical industries and not-for-profit sector among others.