BSc. Statistics

BSc. Statistics Overview at Kwame Nkrumah University of Science and Technology

The BSc. Statistics program at the Kwame Nkrumah University of Science and Technology (KNUST) is designed for students interested in the analysis and interpretation of data to make informed decisions. This program provides a solid foundation in statistical theory and methods, emphasizing practical applications in various fields such as economics, health sciences, and social sciences. Students will learn to use statistical software and develop critical thinking skills necessary for solving complex problems.

Curriculum Highlights

• Core Courses: Probability Theory, Statistical Inference, Regression Analysis, Time Series Analysis, and Multivariate Analysis.
• Elective Courses: Students can choose electives in areas such as Biostatistics, Econometrics, Quality Control, and Survey Sampling.
• Practical Training: The program includes practical training sessions where students apply statistical techniques to real-world data sets, enhancing their analytical and problem-solving skills.
• Research Projects: Students undertake a research project in their final year, allowing them to apply their knowledge and skills in a specialized area of statistics.

Learning Outcomes

• Apply statistical methods to analyze and interpret data from various fields.
• Use statistical software packages to manage and analyze data efficiently.
• Develop critical thinking and problem-solving skills to address real-world issues.
• Communicate statistical findings effectively to non-technical audiences.
• Conduct independent research and contribute to the field of statistics through scholarly work.

Program Duration & Structure

The BSc. Statistics program at KNUST is a four-year degree program. The curriculum is structured to provide a balanced mix of theoretical knowledge and practical skills. Each academic year is divided into two semesters, with each semester focusing on specific courses and skills development. The program also includes an industrial attachment or internship during the third year, providing students with hands-on experience in the field.

Why Choose This Program?

• Expert Faculty: The program is taught by experienced faculty members who are experts in their fields and actively involved in research.
• State-of-the-Art Facilities: Students have access to modern laboratories and computer facilities equipped with the latest statistical software.
• Research Opportunities: Opportunities for undergraduate research projects and collaboration with faculty on research projects.
• Industry Connections: The program has strong ties with industry partners, providing students with networking opportunities and potential job placements.