The syllabus of the M.Sc. (Epidemiology) course, besides compulsory background courses and courses of general interest, includes a variety of subjects in the field of Epidemiology and Biostatistics – theoretical and applied – as subjects of interest in Public Health, Medicine, Hospital Management, Pharmacy, Physiotherapy, Statistical Softwares and Demography. The M.Sc. (Epidemiology) course will provide trained manpower, for the sectors needing epidemiologically churning of data for decision making.
What will they learn?
Students will gain specialized knowledge and skills required to teach the subject matter, and design, monitor and manage research in medical and allied fields. They will also implement and manage National Health Policy and Programs including advocacy. Management of the research projects funded and unfunded will also be part of syllabus.
Careers in health and medicine’s teaching, research and services
Internationally and nationally the demand for trained Epidemiologists far exceeds the availability. Furthermore, the course adds value to medical practice, healthcare and research.
Eligibility for M.Sc. (Epidemiology)
Graduates with Medical and Allied Health Disciplines, including Statistics/ Biostatistics from any recognized University from Karnataka or other university with minimum 50 percent marks alongwith at least 1 year working experience in Medical Facilities are eligible.
Total Intake – 21
To maintain high academic standards, the selection of students will be by:
- Written examination, and
- Personal interview
Assessment and teaching schedule:
The course will include theory classes followed by practical assignments comprised of four semesters of two years duration. The practical assignments will be evaluated for the Internal Assessment marks. Average marks obtained in practical assignments, and an examination as replica of final examination before final examination in each semester will be the Internal Assessment marks.
Students will have to complete dissertation by using hospital/ National Health Survey data. This will give them necessary exposure to understand the real data generation and data management issues.
Final year students will also be part of consultancy teams for data analysis; cleaning, analysis and interpretation of thesis data of Research Scholars.
Students are expected to have 80% of total attendance in theory and practical’s. However, students will be expected to cover missed theory and practical classes, giving extra time after discussing with the concerned teacher.
Medium of instruction: English
Course Fees: As per University norms