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Welcome Message from the Coordinator

Welcome to the Master of Science in Applied Statistics programme at the University of Professional Studies, Accra (UPSA). Our programme is designed to equip students with advanced analytical, computational, and problem-solving skills required in today’s data-driven world.

The MSc Applied Statistics programme combines rigorous statistical training with practical applications across finance, healthcare, economics, agriculture, business, and the social sciences. Students are exposed to modern statistical software, data analytics techniques, and industry-relevant methodologies that prepare them for leadership roles in academia, research institutions, government agencies, and industry.

Our distinguished faculty are committed to fostering innovation, critical thinking, ethical practice, and professional excellence. Through hands-on learning and research-oriented training, we prepare graduates to make meaningful contributions to evidence-based decision-making and sustainable national development.

We warmly invite you to join a vibrant academic community dedicated to excellence in applied statistical practice and research.

Philosophy of the Program

The aim of the Master of Science in Applied Statistics programme at UPSA is to provide students with practical, skills-oriented training in modern statistical methods, analytics, and industry-relevant tools. The programme emphasizes applied problem-solving with data, hands-on experience, and professional readiness, equipping graduates with the expertise to address real-world challenges, support evidence-based decision-making, and contribute to the socio-economic development of Ghana and the global community.

Program Objectives

The objectives of the MSc Applied Statistics programme are to:

  • Apply comprehensive knowledge of statistical theory and methodology to analyze and solve complex statistical problems and challenges effectively.
  • Demonstrate expertise in data analysis methodologies by utilizing statistical software and programming to interpret real-world data sets and derive meaningful insights.
  • Integrate statistical techniques across interdisciplinary fields such as agriculture, healthcare, finance, and social sciences to enhance problem-solving and decision-making.
  • Engage in sophisticated statistical research projects to contribute to advancements in applied statistics and foster an innovation-driven academic environment.
  • Exhibit ethical and professional integrity by adhering to the highest standards of conduct in statistical practice and research.

Program Learning Outcomes

At the end of the MSc Applied Statistics programme, students will be able to:

  • Apply advanced statistical theories and methodologies to analyze and solve complex real-world problems.
  • Utilize statistical software and programming tools to process, interpret, and visualize data for informed decision-making.
  • Integrate statistical techniques across interdisciplinary domains to enhance research, innovation, and practical applications.
  • Conduct independent and collaborative research projects to generate new insights and contribute to the advancement of applied statistics.
  • Demonstrate ethical and professional responsibility by adhering to global standards in statistical practice and research integrity.

Program Course Structure

Semester One CoursesSemester Two Courses
1. MASA 601 Applied Probability (3 Credits)MASA 600 Project Work (6 Credits)
2. MASA 603 Applied Statistical Inference (3 Credits)MASA 602 Generalised Linear Modelling (3 Credits)
3. MASA 605 Applied Sample Survey (3 Credits)MASA 604 Applied Multivariate Methods (3 Credits)
4. MASA 607 Computational Statistics (3 Credits)MASA 606 Advanced Data Mining (3 Credits)
📝 Electives (Select Any Two)📝 Electives (Select Any One)
  • MASA 609 Applied Stochastic Processes (3 Cr.)
  • MASA 611 Design and Analysis of Experiments (3 Cr.)
  • MASA 613 Statistical Quality Control (3 Cr.)
  • MASA 615 Survival Data Analysis (3 Cr.)
  • MASA 617 Time Series Analysis (3 Cr.)
  • MASA 608 Non-parametric Statistical Analysis
  • MASA 610 Theory of Reliability and Life Testing
  • MASA 612 Statistical Consulting and Communication
  • MASA 614 Bayesian Statistics and Monte Carlo Methods

Programme Coordinator’s Profile:


Dr. Freeman Christian Gborse is a Ghanaian academic, a lecturer in the Faculty of Accounting and Finance at the University of Professional Studies, Accra (UPSA).

Contact (email): [email protected]
Contact (Phone): 0545105345