School of Science

An M.Sc. in Biochemistry is normally a 2-year postgraduate study that studies the chemical processes that occur within and affect living organisms. The curriculum includes advanced themes in molecular biology, enzymology, metabolism, and structural biology. Students participate in laboratory work, research projects, and frequently write a thesis. This degree prepares graduates for professions in research, pharmaceuticals, biotechnology, or advanced academic studies such as Ph.D. programs. The degree stresses the critical thinking, experimental design, and data analysis skills required for modern biochemistry research and applications.

M.Sc. in Microbiology is usually a 2-year postgraduate program that focuses on the study of microbes and their effects on various elements of life. The program includes sophisticated areas such microbial genetics, immunology, virology, and environmental microbiology. Students work in laboratories, complete research projects, and often write a thesis. This degree prepares students for employment in research, healthcare, biotechnology, and environmental sciences, with opportunities in academia, industry, and government.

 M.Sc. in Biotechnology is normally a 2-year postgraduate degree that integrates biology, technology, and engineering concepts. This interdisciplinary course focuses on using biological systems to create novel goods and processes. Students develop skills in genetic engineering, molecular biology, bioinformatics, and bioprocess technology. The curriculum frequently involves laboratory work, research projects, and industry internships, which prepare graduates for positions in pharmaceutical, agricultural, and environmental sectors, as well as academic research.

 Master of Science (M.Sc.) in Statistics is a 2-year postgraduate program that provides advanced training in statistical theory, methods, and applications. The curriculum typically covers topics such as probability theory, statistical inference, regression analysis, experimental design, and multivariate analysis. Students learn to apply statistical techniques to solve real-world problems in various fields, including economics, healthcare, and social sciences. The program often includes practical components, such as projects and internships, to enhance analytical skills and software proficiency in statistical tools like R and Python. Graduates are well-equipped for careers in data analysis, research, and academia.