Postgraduate Diploma Statistics & Data Analytics

Mode of study
Hybrid (Online and In-person)

Duration
12 months

Campus
East Legon

Local Fees / year
GH₵ 12,000.00

International Fees / year
GH₵ 13,500.00

Entry year
2024-2025

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The Postgraduate Diploma in Statistics and Data Analytics at Dominion University College is designed for individuals seeking to apply statistical methods in scientific research, industry, health, and administration. It emphasizes evidence-based decision-making and the optimum use of available information, particularly in situations involving uncertainty.

The programme equips students with the skills to analyze data, interpret statistical outcomes, build statistical models, and utilize programming tools and software packages. It is structured to meet the needs of part-time students already engaged in data analysis and prediction in their everyday work.

Upon completion, students will be able to:

  • Master statistical and quantitative techniques.
     
  • Become proficient statisticians for various industries, institutions, and organizations.
     
  • Develop competencies in applying technology to solve problems using computers, software, and programming.
     
  • Enhance skills in interpreting and communicating statistical outputs effectively.
     
  • Establish a solid foundation for research in Statistics and prepare for MSc programmes in Statistics and related sciences.
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Course Objectives

Technical Competence in Computer Science

One of the key benefits of pursuing a BSc Computer Science with Management degree is the solid foundation in computer science it provides. From programming languages to algorithms, database management to software development, you will gain a comprehensive understanding of the technical aspects of computer science. These skills will enable you to design and develop software systems, analyze complex data sets, and tackle real-world computational problems

Business Acumen and Management Skills

In addition to in-depth technical knowledge, this degree program equips you with essential business acumen and management skills. You will learn about organizational behavior, strategic management, project management, and entrepreneurship. This unique combination of computer science and management will make you well-rounded and better prepared to take on leadership roles in the tech industry.

Entry Requirements

This course creates a platform for an advanced financial education and you will explore a systematized flow and management of money and assets. Banking and Finance affords you an endless career options as you acquire expert knowledge, skill-set and requisite fundamentals of the financial world.

A degree in a Mathematics-related discipline with a Third Class or Pass

A degree in a non-mathematics-related discipline with a Second Class Lower or better.

Those with foreign qualifications will be referred to the Ghana Tertiary Education Commission (GTEC) for determination of equivalences and admission eligibility.

Academic Modules

  • GSST 451: Introductory Probability Theory (3 Credits)
  • GSST 453: Linear Algebra and Matrices (3 Credits)
  • GSST 455: Calculus (3 Credits)
  • GSST 457: Introduction to Sampling Methods (3 Credits)
  • GSST 459: Data Structures and Algorithm Designs (3 Credits)
  • GSST 461: Data Science with Python (3 Credits)

  • GSST 452: Statistical Methods (3 Credits)
  • GSST 454: Design and Analysis of Experiments (3 Credits)
  • GSST 456: Actuarial Mathematics (3 Credits)
  • GSST 458: Research Methods (3 Credits)
  • GSST 460: Computer Programming for Statistics (3 Credits)
  • GSST 462: Multivariate Calculus (3 Credits)

  • GSST 461: Introductory Time Series Analysis (3 Credits)
  • GSST 463: Demography (3 Credits)
  • GSST 465: Introductory Multivariate Data Analysis (3 Credits)
  • GSST 467: Non-Parametric Statistics (3 Credits)
  • GSST 469: Introductory Stochastic Processes (3 Credits)
  • GSST 471: Economic Theory (3 Credits)

Career Prospects

Graduates of this programme will be qualified to work as applied statisticians in various fields, including:

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Career Prospects

Graduates of this programme will be qualified to work as applied statisticians in various fields, including:

  • Research institutions
  • Planning institutions
  • Governmental agencies

Why choose Postgraduate Diploma Statistics & Data Analytics

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Tuition costs

Explore detailed information about our tuition costs and payment options. We are committed to providing a transparent and affordable education for all our students.

Domestic fees

4-month semesters

Year 1 Semester Fees
12,000.00 (12 credit minimum)

Year 2 Semester Fees
None (12 credit minimum)

Year 3 Semester Fees
None (12 credit minimum)

Year 4 Semester Fees
None (12 credit minimum)

  • Total
  • $21,490

International fees

4-month semesters

Year 1 Semester Fees
13,500.00 (12 credit minimum)

Year 2 Semester Fees
None (12 credit minimum)

Year 3 Semester Fees
None (12 credit minimum)

Year 4 Semester Fees
None (12 credit minimum)

  • Total
  • $21,490
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