MSc Statistics
University
Tribhuwan University
Duration
2 years
Fee
Rs.
Colleges
1+
Summary
Two-year, four-semester postgraduate program under Tribhuvan University focused on advanced statistical theory, applied data analysis, probability models, sampling methods, econometrics, and statistical computing for research, industry, and policy analysis.
Program develops deep competence in mathematical statistics, probability theory, multivariate analysis, experimental design, sampling techniques, econometric modeling, demography, quality control, reliability analysis, and modern analytic methods. Emphasis is placed on both theoretical rigor and practical application through statistical software, data modeling, survey design, and research-oriented coursework. Graduates gain analytical and methodological skills required in sectors such as finance, health, social science research, data science, and government planning.
Description
Curricular structure (semester-wise)
Note: Only partial official structure is publicly available. Below is organized using provided course details.
First Semester
(Universities typically include advanced probability, inference, and linear models at this level; official detailed list not provided in the source.)
Second Semester
| Course | Focus |
|---|---|
| Mathematical Demography | Population models, fertility/mortality measures |
| Probability Distribution (Old) | Probability laws, continuous/discrete models |
| Sampling Theory | Survey sampling, estimation, design techniques |
| Design of Experiments | Randomization, blocking, factorial designs |
| Econometrics | Regression, time series, economic modeling |
| Quality Control & Reliability | SPC charts, reliability models |
Third Semester
(Usually includes multivariate analysis, stochastic processes, Bayesian statistics, statistical computing, etc.; detailed list not provided.)
Fourth Semester
| Course | Focus |
|---|---|
| Meta Analysis | Research synthesis, effect-size estimation |
| Non-parametric & Categorical Data Modeling | Non-parametric tests, logistic models, categorical data |
Features
Features
- Strong foundation in mathematical and applied statistics
- Probability, inference, sampling, econometrics, and experimental design integrated across semesters
- High emphasis on analytical modeling and statistical computing
- Suitable for careers in research-intensive or data-intensive sectors
- Entrance exam based strictly on BSc/BA Statistics curriculum
- Program offered exclusively at TU Central Department of Statistics (Kirtipur)
Admission Process
Eligibility
- Entrance exam (100 marks, 2 hours) based on BSc/BA Statistics syllabus
- MCQ format; each question carries 1 mark
- Minimum 35% required to pass
Job Prospects
Job prospects
- Data scientist
- Data analyst
- Statistician
- Biostatistician
- SAS/Statistical programmer
- Senior business analyst
- Analytics consultant
- Statistical analyst
- Research analyst
- Analytics manager
- Senior statistician
Colleges Offering This Course
Central Department of Statistics | Tribhuvan University
No entrance requirements available
No curriculum information available
Contact the university for detailed curriculum information