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A bachelor's degree (≥50%) in computer science, engineering, mathematics, statistics, IT, or medical science (including medicine, nursing, laboratory medicine, pharmacy, public health, etc.).
Upon completion of the program, students will be able to:
Apply advanced statistical and data science techniques to health and biomedical data.
Analyze and interpret complex datasets using appropriate statistical and computational methods.
Design and evaluate clinical, observational, and other health research studies.
Apply machine learning, statistical modeling, and data analytics to real-world problems.
Conduct independent research and communicate evidence-based findings effectively.
Pursue careers as biostatisticians, data scientists, research analysts, epidemiologists, and healthcare data professionals.
The M.Sc. in Biostatistics and Data Science is a postgraduate program that combines statistical methods, data science, programming, and health sciences to develop expertise in analyzing biological, medical, and public health data. The program covers areas such as biostatistics, epidemiology, statistical modeling, machine learning, data analytics, clinical research, and research methodology.