UNIVERSITY OF MANAGEMENT AND TECHNOLOGY

Academic Programs

MS Applied Statistics

Introduction Program Summary Program Structure

Admission Requirements

  • Sixteen years of education and Cumulative Grade Point Average (CGPA) of 2.5 out of 4 in BS (Statistics/Mathematics/Economics) / MSc or equivalent.
  • Clearance of GAT with minimum 50% score. Result of GAT can be provided within 6 months of after getting the admission.
  • All academic credentials must be attached with the admission form and interview panel (PhD Committee members) will give the final decision regarding admission in MS in Applied Statistics.

Program Structure

Duration:                                 2 years
Semester:                                4

Semester Duration :                 15 Weeks
Course Load per Semester:       4-courses (12 Credit hours)
Thesis:                                    6 Credit hours
Total Credit Hours:                   30

Core Courses

  • Research Methodology
  • Statistical Analysis for Applied Statistics
  • Experimental Designs
  • Survey and Sampling Techniques
  • Multivariate Analysis

Elective Courses (Any Three)

  • Population and Demographic Analysis
  • Advanced Quantitative Techniques
  • Stochastic Processes
  • Financial Engineering
  • Regression and Econometric Analysis
  • Actuarial Statistics
  • Reliability Analysis
  • Survival Analysis
  • Big Data Analysis
  • Cloud Computing
  • R Language
  • Python
  • SAS
  • Mat-Lab
  • Mathematica

MS Thesis

Thesis shall be of 06 credit hours. A participant shall be allowed to start working on thesis after completing the course work of 24 credit hours with a min. CGPA of 3 out of 4.

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Chairperson Dept. of Quantitative Methods

Dr. Ahmed F. Siddiq
[email protected]

Support Staff

Mubashir Munir
[email protected]

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