Postgraduate Diploma in Research and Statistics Diploma

Program Goals

  • Design rigorous and ethical quantitative research studies.
  • Apply descriptive, inferential, and multivariate statistical techniques to real-world datasets.
  • Use modern statistical software (R, Python, and optionally SPSS/Stata) to produce reproducible analyses.
  • Critically interpret and appraise quantitative research in academic and applied contexts.
  • Conduct survey design, sampling, and program evaluation using appropriate statistical methods.
  • Integrate advanced methods such as regression models, causal inference, and machine learning into applied research.

Description

The Postgraduate Diploma in Research & Statistics is an intensive two-semester program that blends theoretical foundations with hands-on practice in research design, data analysis, and statistical computing. Students gain expertise in core areas such as applied statistics, survey design, regression modeling, multivariate methods, and advanced topics like Bayesian analysis, machine learning, or time series, depending on electives. The program emphasizes applied learning, requiring students to complete practical assignments, reproducible statistical analyses, and a capstone research project. Graduates emerge with the ability to design ethical research, analyze real-world datasets, and communicate findings to both specialist and non-specialist audiences.

Core Courses / Highlights

  • Research Design & Ethics
  • Applied Statistical Methods I (Descriptive, Probability & Inference)
  • Statistical Computing & Reproducible Workflows (R & STATA)
  • Sampling & Survey Methods
  • Research Proposal & Literature Review (capstone start)
  • Applied Statistical Methods II (Regression & GLMs)
  • Multivariate & Categorical Data Analysis
  • Advanced Topics & Specialized Methods
  • Capstone Research Project: Data Analysis & Report

Acquiring Skills

  • Research Design & Ethics
  • Applied Statistical Competence
  • Statistical Computing
  • Survey & Sampling Expertise
  • Analytical Thinking
  • Communication Skills
  • Problem-Solving & Adaptability

Career Opportunities

  • Academic & Research Institutions
  • Public Sector & Government
  • Health & Social Sciences
  • Business & Industry
  • International Development & NGOs

Admission Requirements

  • Bachelor’s degree (recognized university) in a related subject.
  • Certified transcript of your Bachelor’s studies.
  • Secondary School Certificate or another recognized high school credential.
  • Brief statement of purpose or research interest. (some programmes).
  • Demonstrate English language proficiency.
  • Two recent photos & the online form.
  • 30USD Non-refundable admission fee
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