M.Sc Medical Statistics
The course is structured to give students for scope of professional development in understanding and use of statistical software packages including SPSS, R, MATLAB and Excel.
The course provides opportunity to develop skills for data analysis and the individual project work provides field experience and hands-on training.
To introduce students to get ideas of statistics and develop an awareness of the role played by statisticians in support of the industry.
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Mathematical Statistics
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Basic Medical Statistics
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Population and Health Data Management
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Statistical Model Using R (Or) Computer Programming
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Statistical Computing using Excel and SPSS
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Data Analysis using SPSS
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Data Analysis using R Studio
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Statistical Epidemiology
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Time Series Analysis
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Python Programming
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Big Data Analytics (Or) Spatial Statistics
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Clinical Trials
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Statistical Modeling using Python
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Statistical Modeling using JMP
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Regression and Generalized Linear Models
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Multivariate Analysis
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Design and Analysis of Experiments
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Survival Data Analysis (Or) Operational Research and Quality Control.
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Data Analysis Using MATLAB
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Documentation & Research Methodology
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Statistical Analysis using MATLAB
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Statistical Analysis using DOE Software
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Internship
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Dissertation
Any undergraduate science degree recognized by UGC with mathematics as one of the subjects in second PUC or 10+2 or its equivalence.
Career Prospects
Medical statisticians, work in a variety of medical and public health fields. They conduct statistical research to advance medical knowledge, track or prevent diseases and improve medications and treatments. There are several opportunities for a student of Medical Statistics with good computing techniques. Candidates who have completed a two year M.Sc. Medical Statistics course can get jobs in hospitals, pharmaceutical and biotech industries, market research organizations, public health and utility providers, government departments, universities and technical institutions and they can also work as a Statistician, Biostatistician, Medical statistician, Business analyst, Research analyst, statistics analysts, investigative officers, Researchers, Data Interpreters, Enumerators, Investigators, Statistical Services officers etc.
Placements
- National Institute of Mental Health and Neuro Sciences (NIMHANS) Bangalore
- National Centre for disease informatics and Research (NCDIR)
- Indian Census Department (ICD)
- Fulcrum Global Service
Indian Students : INR 46200.00 per year
NRI Students : USD 1320 per year
Forms
- Regulations
University of Mysore
Maharanis Science College
University of Mysore
Manasagangothri
JSS Academy of Higher Education & Research
JSS Academy of Higher Education & Research
Department / Subject Taught
Mar 13, 2015
1 Years 7 Months
Medical Statistics
Till Date
11 Years 2 Months
To be associated with a progressive organization that provides opportunities to apply and enhance my skills in Biostatistics, Data Analytics, and Healthcare Research, while contributing effectively toward organizational growth, academic excellence, and innovative research outcomes.
Dr. Chaithra N is an Associate Professor in the Division of Medical Statistics, School of Life Sciences, JSS Academy of Higher Education & Research. She is a passionate Biostatistician with over 13 years of teaching and research experience in medical and healthcare research, with strong expertise in statistical methodologies and data analytics. She has published 31 research articles, 2 books, and 9 book chapters, and has presented her research findings at various national and international conferences. She received the Best Young Scientist Award in Medical Statistics and serves as a reviewer for several national and international journals. She is a member of the Indian Statistical Association and a life member of the Indian Society for Probability and Statistics. Her research focuses on developing innovative statistical and computational methodologies, including AI-based predictive models for healthcare decision-making. She is proficient in several statistical and data analytics software tools, including R Studio, SPSS, CMA, JAMOVI, WEKA, TABLEAU, JMP, and Python.
Biostatistics, Healthcare Data Analytics, Data Mining, Machine Learning, Predictive Modeling, Multivariate Analysis, Meta-analysis, and AI-based Healthcare Research.