Welcome Message from the Coordinator
Welcome to the Master of Philosophy in Applied Statistics programme at UPSA. This programme provides advanced theoretical and research-oriented training for individuals seeking to deepen their expertise in statistical science and analytical research.
The MPhil Applied Statistics programme is carefully structured to develop highly skilled statisticians capable of conducting independent research and addressing complex real-world challenges through innovative statistical methodologies. Students gain strong competencies in statistical modelling, data analytics, computational techniques, and interdisciplinary research applications.
Our programme emphasizes research excellence, ethical practice, innovation, and critical inquiry. Graduates are well-positioned for doctoral studies, academic careers, policy research, consultancy, and high-level analytical roles across various sectors of the economy.
As Programme Coordinator, I encourage you to take full advantage of the rich academic environment, mentorship opportunities, and collaborative learning culture that UPSA offers.
Philosophy of the Program
The aim of the Master of Philosophy in Applied Statistics programme at UPSA is to provide advanced, specialised education in applied statistics that integrates rigorous theoretical foundations with strong research orientation and practical applications. The programme is designed to equip students with the knowledge, analytical skills, and research expertise to excel as statisticians and data analysts, while also preparing them for doctoral studies. Graduates will be empowered to drive data-informed decision-making, advance statistical scholarship, and make meaningful contributions to the socio-economic development of Ghana and the global community.
Program Objectives
The objectives of the MPhil Applied Statistics programme are to:
- Develop a comprehensive understanding of statistical theory and methodology, enabling students to effectively analyze and solve complex statistical problems.
- Enhance students’ proficiency in data collection and analytical techniques, incorporating statistical software and programming to facilitate accurate analysis of real-world datasets and extraction of meaningful insights.
- Encourage interdisciplinary application of statistical techniques by integrating methodologies across diverse fields such as economics, healthcare, finance, and social sciences.
- Foster a research-driven and innovation-oriented environment by engaging students in advanced statistical research projects that contribute to the field of applied statistics.
- Instill a strong commitment to ethical and professional conduct, ensuring adherence to the highest standards of integrity and responsibility in statistical practice.
Program Learning Outcomes
At the end of the MPhil Applied Statistics programme, students will be able to:
- Demonstrate a comprehensive understanding of statistical theory and methodology by effectively analyzing and solving complex statistical problems.
- Apply advanced data collection and analytical techniques using statistical software and programming to accurately interpret real-world datasets and extract meaningful insights.
- Integrate statistical techniques across interdisciplinary domains such as economics, healthcare, finance, and social sciences to address real-world challenges.
- Conduct independent and innovative research in applied statistics, contributing to advancements in statistical methodologies and practical applications.
- Exhibit ethical and professional responsibility in statistical practice, adhering to high standards of integrity and professionalism in data analysis and decision-making.
Program Course Structure
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
