M.Sc. Biostatistics
This Course Structure is Curated as per the NEP-2020 Guidelines
Course Overview
The M.Sc. Biostatistics program at Malla Reddy Vishwavidyapeeth, Hyderabad is a postgraduate program aimed at equipping students with a strong foundation in statistical methods applied to biological, medical, and health sciences.
This program emphasizes both theoretical depth and practical application from the very beginning.This program blends theoretical knowledge with practical skills in data collection, analysis, interpretation, and presentation, focusing on healthcare, clinical research, epidemiology, public health, and genomics.Students are trained in the use of statistical software (like R, SAS, STATA, and SPSS) and gain real-time experience with data-driven research projects. The program is ideal for students seeking careers in public health organizations, research institutions, pharmaceutical companies, and data analytics roles in the biomedical field.
Graduates emerge as highly skilled biostatisticians, enabling them to pursue further higher studies & do research in Biostatistics along with plenty of job opportunities globally.
Course Details
Description: 2 Years Degree Program
No. of Seats: 20
No. of Credits: 80 minimum & as specified
Academic Qualification: A Bachelor’s degree in Statistics / Mathematics / Life Sciences / Biotechnology / Medicine / Public Health / Pharmacy or equivalent with a minimum of 50% aggregate marks from a recognized university.
Semester | Subjects |
Semester 1 | Introduction to Biostatistics, Probability Theory and Distributions, Epidemiology and Public Health, Statistical Software Tools (R/SPSS), Practical: Data Management and Basic Analysis |
Semester 2 | Regression Analysis, Design of Experiments, Clinical Trials and Data Monitoring, Survival Analysis, Practical: Statistical Modeling and Interpretation |
Semester 3 | Multivariate Analysis, Longitudinal and Repeated Measures Data, Bayesian Statistics, Research Methodology, Practical: Advanced Analysis with Case Studies |
Semester 4 | Bioinformatics and Genomic Data Analysis, Health Data Analytics, Dissertation / Research Project, Internship / Industry Exposure |
- Statistical Proficiency: Advanced understanding of statistical principles, experimental design, and inferential methods applied to health sciences.
- Software and Tools: Expertise in using analytical software like R, SAS, STATA, SPSS, and Python for statistical analysis.
- Clinical Data Analysis: Ability to analyze clinical trial data, conduct epidemiological investigations, and support evidence-based decision-making.
- Research & Publications: Skills in designing studies, analyzing complex datasets, and publishing in scientific journals.
- Interdisciplinary Application: Capacity to work in interdisciplinary teams in medical, public health, pharmaceutical, and life sciences domains.
- Certifications in Clinical Data Management, SAS Programming, Epidemiological Modeling, and Data Visualization
- Workshops on Big Data in Healthcare, Real-World Evidence (RWE), and Machine Learning for Biostatistics
- Ph.D. in Biostatistics / Epidemiology / Public Health
- Advanced research fellowships in Biomedical Statistics
- Postdoctoral studies in Bioinformatics and Genomics
Duration | Roles and Responsibilities | Salary Range |
0–3 years | Biostatistician, Data Analyst (Healthcare), Research Assistant | ₹4,00,000 – ₹6,50,000 per annum |
3–5 years | Clinical Data Analyst, Epidemiologist, Statistical Programmer | ₹6,50,000 – ₹10,00,000 per annum |
5–10 years | Senior Biostatistician, Lead Data Scientist (Life Sciences), Project Statistician | ₹10,00,000 – ₹16,00,000 per annum |
10+ years | Director of Biostatistics, Head of Data Science (Healthcare), Chief Biostatistician | ₹16,00,000+ per annum |
Fee Structure Per Academic Year
| Tuition Fee | Miscellaneous Fee | Scholarship | ||
| 125000 ₹ | 10000 ₹ | Above 90% – 25000 ₹ | Between 81-90% – 12500 ₹ | Between 71-80% – 6250 ₹ |
