RGS

Master's Programme
MSc in Statistics

MSc in Statistics

Welcome to the MSc in Statistics program at Regent University College of Science and Technology! Our program is designed to provide students with a comprehensive and advanced education in the field of statistics, equipping them with the skills and knowledge necessary to excel in a wide range of industries.

The MSc in Statistics program offers a rigorous curriculum that covers both theoretical foundations and practical applications of statistical methods. Students delve into topics such as probability theory, mathematical statistics, data analysis, experimental design, multivariate analysis, and statistical modeling.

The MSc in Statistics program offers a rigorous curriculum that covers both theoretical foundations and practical applications of statistical methods. Students delve into topics such as probability theory, mathematical statistics, data analysis, experimental design, multivariate analysis, and statistical modeling.

Our program emphasizes hands-on experience and real-world application of statistical techniques. Students have access to modern statistical software and tools, allowing them to analyze complex datasets, extract meaningful insights, and make informed decisions based on data-driven evidence.

Career Opportunities
and many more

Upon completion of the MSc in Statistics program, graduates are prepared to pursue diverse career paths, including data analysis, statistical consulting, research, academia, and more. The ability to understand, interpret, and analyze data is in high demand across industries, making our graduates valuable assets in today's data-driven world.

Join us in the MSc in Statistics program at Regent University College of Science and Technology and embark on a rewarding journey of intellectual growth, analytical excellence, and professional opportunities. Whether you are looking to deepen your statistical knowledge or enter a new field, our program equips you with the expertise to succeed and make a significant impact.

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To be eligible for the MSc in Statistics programme, applicants must meet the following entry requirements:

Good First Degree

Applicants must have a Bachelor’s Degree in Mathematics, Statistics, Actuarial Science or other Bachelor’s Degree-related programmes with strong Mathematics and Statistics components. Undergraduate programmes with courses in Algebra, Analysis, Differential Equations, Statistical Computing and Mathematical Statistics, Statistical inference and sampling techniques are highly preferred.

Pre MSc

Applicants with Diploma in Statistics from ISSER (Legon), Higher National Diploma (HND) in Statistics and BSc/ BA in Non-Statistics/Mathematics disciplines will complete a one year Pre-MSc Statistics programme in the first instance before proceeding to the Masters programme.

Interview

All qualified applicants will be subjected to vigorous interviews to ascertain their preparedness for the programme.

Programme Structure

First Trimester

  • Introductory Probability Theory
  • Linear Algebra
  • Biostatistics
  • Economic Theory
  • Statistical Methods
  • Design and Analysis of Experiments

Second Trimester

  • Probability Distributions
  • Non-Parametric Statistics
  • Introductory Time Series
  • Demography
  • Introductory Multivariate Calculus

Third Trimester

  • Introductory Sampling Techniques
  • Introductory Multivariate Methods
  • Introductory Stochastic Processes
  • Research Methodology and sampling Survey
  • Economic Statistics