M.Phil statistics - Superior University Lahore
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M.Phil Statistics

Build the skills to lead in M.Phil Statistics

Superior University’s M.Phil Statistics program prepares the students to investigate a particular area of study in-depth and conduct research to make a significant contribution to the field. The qualified faculty helps students acquire a wide range of research and transferable skills along with a profound understanding and expertise in their chosen field of research, facilitating their transition into research and academic careers after the completion of their degrees.

0
Total Credit Hours
0
Semesters
0
Course Duration (Years)

Eligibility Criteria: CGPA 2 Out of 4 (as per university and HEC policy)
GAT
3rd party or NTS 50 %, if university then 60% (as per university and HEC policy)

Semester 1

CourseCredit Hours
Probability Distributions3
Survey Sampling3
Elective-I3
Elective-II3
Total12

Semester 2

CourseCredit Hours
Statistical Inference3
Statistical Analysis by R3
Elective-III
3
Elective-IV3
Total12

Semester 3 & 4

CourseCredit Hours
Research Thesis6
Total6

Elective Courses

CourseCredit Hours
Basic Pharmacology
3
Human Physiology
3
Principles of Ballistics
4
Bioinformatics3
Social Entrepreneurship
3
Total16

*To accommodate modern trends, Institute may reserve the right to change course requirements, fees, course classifications, course contents, class schedules, venues, faculty and the like, whenever it deems appropriate.

Research areas:

1-BIO-Statistics
2-Business Statistics
3-Data Science
4-Machine Learning
5-Mathematical Statistics
6-Applied Statistical
7-Quality Control
8-Sampling Survey
9-Predictive Analysis
and more.

Semester 1

CourseCredit Hours
Probability Distributions3
Survey Sampling3
Elective-I3
Elective-II3
Total12

Semester 2

CourseCredit Hours
Statistical Inference3
Statistical Analysis by R3
Elective-III
3
Elective-IV3
Total12

Semester 3 & 4

CourseCredit Hours
Research Thesis6
Total6

Elective Courses

Elective
Advanced Regression Analysis3
Advanced Bayesian Inference3
Advanced Categorical Data Analysis3
Advanced Design of Experiments3
Advanced Distribution Theory3
Advanced Multivariate Analysis
3
Advanced Operations Research3
Advanced Statistical Methods in Quality control3
Applied Smoothing Techniques3
Applied Stochastic Models3
Bayesian Inference3
Causal Inference3
Convergence in Probability3
Decision Trees3
Ecological Statistics3
Environmental Statistics3
Financial Stochastic Models3
Generalized Linear Mixed Models3
Generalized Linear Models
3
Inference in Stochastic Processes3
Linear Models3
Logical Reasoning and Research Method3
Longitudinal Data Analysis3
Meta Analysis3
Multilevel Modeling
3
Optimization Techniques
3
Regression Models for Count Data
3
Spatial Data Analysis3
Statistical Genetics3
Statistical Methods for Clinical Trials3
Structural Equation Models3
Survival Data Analysis

Time Series Analysis and Forecasting
3

3
Total 99

*To accommodate modern trends, Institute may reserve the right to change course requirements, fees, course classifications, course contents, class schedules, venues, faculty and the like, whenever it deems appropriate.