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Master of Science (MSc.) in Statistics

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Prerequisites

$59$169

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Overview

The MSc Statistics at Dominion University is an introduction to univariate data analysis methods, descriptive statistics and data visualisation methods.The MSc statistics will ensure students become familiar with computer as a tool for statistical analysis and through the use of the SPSS will be able to create data files, analyse them and interpret the results to an informed audience. It also offers training in statistics as well as offers you the flexibility to select the program that suits your goals and interest. Students participating in this course will develop an understanding of descriptive and inferential statistics and the purposes for each of these groups of statistics.

 

Course Content

The MSc. Statistics is structured for those candidates who wish to grasp quality and in-depth knowledge of the theory and methods of statistics and of the application  of statistical methods in various fields. It has been specifically designed to meet the needs of part-time learners in employment as well as fresh graduates who wish to master in statistics.  The programme aims to foster an interest in theoretical and applied statistics and equip you for work as a professional statistician. You will learn to analyse and critically interpret data, build statistical models in real situations and use programming tools and statistical software. Below is the programme structure for the MSc. Statistics;

 Trimester I 

Core Courses

  • 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

Total Credits : 15 to 18 Credits 

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

Total Credits : 15 to 18 Credits 

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

Total Credits : 15 to 18 Credits 

Entry Requirements

Entry Requirements

Admission requirements for the Master of Science in Statistics at Dominion University College are;

  1. Direct Entry 

For first degree applicants, at least a Second Class Lower Division in Statistics or Mathematics or any quantitative related programme with substantial mathematical content is required.

  1. Other Entry Qualification 

All foreign qualifications shall be referred to the Ghana Tertiary Education Commission (GTEC) for determination of thier equivalences and eligibility for admission to Dominion University.

Fees & Payment

Gh

MODE  DURATION FEES (GHS)
Weekend  12 Months   15,000.00

 

Inter

MODE  DURATION FEES (GHS)
Weekend  1 year  18,000.00

Duration

The Master of Science in Statistics is a 12-months (1 year) degree programme.

At the end of the duration of the programme, students are required to pass all registered taught courses and must obtain a minimum of 39 credits with a minimum cumulative weighted average (CGPA) of 2.5 at the end of the programme. At the end of the programme, students are also required to give seminars(s) and pass an oral examination on their thesis. MSc dissertation of 15,000 words are also required to be submitted at the end of the 12-months period.

Career Opportunities

Graduates of MSc Statistics have diversified career prospects in the fields of educational institutions, banking and financial institutions, governmental institutions, agricultural, statistical & data management organisations and non-governmental organisations among others. Some career prospects may include;

  1. Statistician
  2. Biostatistician
  3. Arithmetician
  4. Operations Research Analyst
  5. Assistant Professor
  6. Data Scientist
  7. Market Research
  8. Sports Analyst
  9. Financial Analyst/planner
  10. Statistical Consultant