Mphil in Statistics

Kathmandu University
1 years
Rs. 335000
Updated December 10, 2025

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.)

CategoryTopics / Components
Core AreasResearch Methods • Advanced Trends in Statistics • Data Analysis
Specialized Statistical TopicsLaplace Distributions • Queueing Theory • Stochastic Models
Applied ComponentsEconometric applications • Applied statistical projects
Research RequirementDissertation demonstrating analytical, methodological, and presentation competence
Duration1 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