Mphil in Statistics
University
Kathmandu University
Duration
1 years
Fee
Rs. 335000
Summary
Short description
Applied and theoretical statistics program designed to build advanced quantitative, analytical, and research capacity for roles across academia, industry, and government.
Description
The MPhil in Statistics is a 1.5-year postgraduate research program combining advanced coursework with supervised dissertation work. It strengthens mastery of modern statistical theory, data analysis, econometrics, stochastic modeling, and applied quantitative methods. The program develops the ability to conduct high-level statistical research, interpret complex datasets, and communicate findings effectively. Graduates gain competence to work in research-intensive, analytical, consulting, and policy environments.
Description
Curricular structure (table)
(Structure uses details provided in the description.)
| Category | Topics / Components |
|---|---|
| Core Areas | Research Methods • Advanced Trends in Statistics • Data Analysis |
| Specialized Statistical Topics | Laplace Distributions • Queueing Theory • Stochastic Models |
| Applied Components | Econometric applications • Applied statistical projects |
| Research Requirement | Dissertation demonstrating analytical, methodological, and presentation competence |
| Duration | 1 year 6 months |
Features
Features
• Strong grounding in theoretical and applied statistics
• Exposure to econometric and statistical modeling
• Focus on advanced analytical techniques and stochastic processes
• Research-driven program culminating in dissertation
• Development of communication skills for presenting technical findings
• Suitable for industry, academia, and government analytical roles
Fee
• Tentative: NPR 335,000
Admission Process
Eligibility
• Completion of 16 years of education
• Master’s degree completed with first division or CGPA ≥ 3.0
• Degree must be from a recognized university
Admission process
• Eligibility screening based on academic records
• Review of quantitative and research background
• Department-level selection procedures (as applicable)
Job Prospects
Job prospects
• Biometrics specialist
• Business analyst
• Government statistician
• Industrial statistician
• Insurance & finance analyst
• Market researcher
• Medical statistician
• Operational researcher
No entrance requirements available
No curriculum information available
Contact the university for detailed curriculum information