MSc · Masters

Postgraduate Diploma Statistics & Data Analytics

The Diploma Statistics & Data Analytics at Southshore University College is the institution's flagship research-focused postgraduate degree in the mathematical sciences. Designed to produce high-calibre scholars and strategic data architects, the programme is grounded in our TEASE values (Trustworthiness, Experience, Authority, Success, Expertise). It integrates advanced statistical discourse with the rigorous technical Expertise required to generate original knowledge and solve complex systemic challenges in the global data economy. Representing the Nova Lux philosophy, this degree serves as the definitive pathway for individuals transitioning into senior academic roles or high-level quantitative research, backed by the prestigious award of the University of Cape Coast.

Postgraduate Diploma Statistics & Data Analytics

Key Information

Academic Division

School of Computing & Information Technology

Duration

1 Year

Awarding Institution

University of Cape Coast (UCC)

Accreditation

Ghana Tertiary Education Commission (GTEC)

Strategic Focus

Advanced Quantitative Research & Mathematical Sovereignty

Institutions

Teaching Institution

SouthShore University College

Awarding Institution

University of Cape Coast (UCC)

Our programme is benchmarked against International Standards for research excellence, ensuring your contribution to the body of knowledge carries global weight.

Applied Research Mandate

60% of the programme’s technical focus is dedicated to supervised field research and laboratory-based theory building within the ADS (African Digital Sovereignty) Research Cluster, ensuring that output is not merely theoretical but provides sovereign technical solutions.

Mastery Skills Pipeline

A mandatory 100-hour track for research students focusing on Advanced Computational Epistemology, R/Python for High-Performance Computing, Grant Writing, and Professional Viva Voce Preparation.

Expertise Engine

This programme is a primary driver of the College’s Strategic Research Clusters, providing the foundational data and high-impact publications (5 RJA target) that underpin Southshore's intellectual authority.

Integrity & Trust

Defined by institutional Reliability and Adaptability—the curriculum includes mandatory certifications in Research Ethics, Data Sovereignty Law, and Statistical Integrity.

The SISNet Link

As a TALI Graduate School scholar, you gain immediate entry into the Southshore International Scholars Network (SISNet), connecting you with global high-impact fellows and senior industry practitioners.

Quality & Accreditation

Fully accredited by GTEC and monitored by the DOEQA. As an affiliate of the University of Cape Coast, Southshore ensures that the MPhil thesis undergoes rigorous external examination by globally ranked statisticians to maintain parity with the world's best research-intensive institutions. All research output must receive ethical clearance from the RIC to ensure absolute institutional Trustworthiness. Apply via the Registrar's portal to join our community of world-class mathematical scholars.

Admission Requirements

  • Academic Qualification

    A first degree (BSc) in Statistics, Mathematics, Actuarial Science, or a highly quantitative field from a recognized institution with a minimum final classification of Second Class Upper Division (2:1).

  • Technical Aptitude

    Demonstrable proficiency in calculus, linear algebra, and at least one statistical software package.

  • Research Aptitude

    Submission of a detailed, original Research Proposal (2,500 words) aligning with the ADS Research Cluster priorities.

  • Equitable Admissions

    Scholarship paths are available via the Widening Participation pillar for high-potential researchers from underrepresented demographics in STEM.

Curriculum Overview

Year 1

Semester 1

GSST 451: Introductory Probability Theory
Authority
GSST 453: Linear Algebra and Matrices
Expertise & Research
GSST 455: Calculus
Expertise & Research
GSST 457: Introduction to Sampling Methods
Applied Learning
GSST 459: Data Structures and Algorithm Designs
Applied Learning
GSST 461: Data Science with Python
Applied Learning

Semester 2

GSST 452: Statistical Methods
Applied Learning
GSST 454: Design and Analysis of Experiments
Applied Learning
GSST 456: Actuarial Mathematics
Authority
GSST 458: Research Methods
Expertise & Research
GSST 460: Computer Programming for Statistics
Applied Learning
GSST 462: Multivariate Calculus
Expertise & Research

Semester 3

GSST 461: Introductory Time Series Analysis
Applied Learning
GSST 463: Demography
Holistic Experience
GSST 465: Introductory Multivariate Data Analysis
Applied Learning
GSST 467: Non-Parametric Statistics
Expertise & Research
GSST 469: Introductory Stochastic Processes
Applied Learning
GSST 471: Economic Theory
International Standards

Ready to Begin Your Journey?

Join SouthShore University College and embark on a transformative educational experience that will shape your future.