MSc Biostatistics
ICMR - National Institute of Epidemiology (NIE) was established by Indian Council of Medical Research (ICMR) in 1999 as the flagship institute for training and research in the areas of epidemiology, public health and biostatistics in India. The vision of NIE is to be a catalyst for a vibrant national health system through responsive research, education and training in epidemiology and public health.
ICMR School of Public Health under NIE, started conducting M.Sc. (Biostatistics) programme from the year 2016.
Eligibility criteria
Bachelor Degree in Statistics Any Bachelor Degree with statistics as ancillary /allied subject
Course structure
Two years programme with four semesters under CBCS regulations Odd semester July to November (90 working days) Even semesters January to May (90 working days) One month (approx) semester break each in December & June The duration for completion of the course is four semesters. The maximum allowed period for completion is eight semesters 75% attendance essential Any candidate who has failed to obtain the prescribed 75% attendance for valid reasons, on special permission from Director of NIE can be exempted and under any circumstances the exemption should not be granted for attendance below 65%.
Choice Based Credit System (CBCS) Regulations
Credit refers to describe the quantum of syllabus in terms of hours of study. It indicates differential weight-age given according to the contents & duration of the courses in the curriculum design.
Core Courses are compulsory subjects offered.
Elective Courses are courses offered by NIE
Supportive courses are of intermediary & introductory level in nature; aimed at bridging the gap in the curricula; Enabling improvement skills in computation & communication.
Human Rights is a compulsory credit course offered in the III semester. The course is designed under lectures / practical work / Journal review/ Seminars / dissertation work / viva-voce.
Elective courses
1. Data Management 2. Applied Spatial Statistics 3. Health informatics 4. Bayesian Statistics
Supportive courses
1. Scientific communication 2. Health Economics 3. Field Epidemiology 4. Health Systems
