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.
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)
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
Course | Credit Hours |
---|---|
Probability Distributions | 3 |
Survey Sampling | 3 |
Elective-I | 3 |
Elective-II | 3 |
Total | 12 |
Semester 2
Course | Credit Hours |
---|---|
Statistical Inference | 3 |
Statistical Analysis by R | 3 |
Elective-III | 3 |
Elective-IV | 3 |
Total | 12 |
Semester 3 & 4
Course | Credit Hours |
---|---|
Research Thesis | 6 |
Total | 6 |
Elective Courses
Elective | |
---|---|
Advanced Regression Analysis | 3 |
Advanced Bayesian Inference | 3 |
Advanced Categorical Data Analysis | 3 |
Advanced Design of Experiments | 3 |
Advanced Distribution Theory | 3 |
Advanced Multivariate Analysis | 3 |
Advanced Operations Research | 3 |
Advanced Statistical Methods in Quality control | 3 |
Applied Smoothing Techniques | 3 |
Applied Stochastic Models | 3 |
Bayesian Inference | 3 |
Causal Inference | 3 |
Convergence in Probability | 3 |
Decision Trees | 3 |
Ecological Statistics | 3 |
Environmental Statistics | 3 |
Financial Stochastic Models | 3 |
Generalized Linear Mixed Models | 3 |
Generalized Linear Models | 3 |
Inference in Stochastic Processes | 3 |
Linear Models | 3 |
Logical Reasoning and Research Method | 3 |
Longitudinal Data Analysis | 3 |
Meta Analysis | 3 |
Multilevel Modeling | 3 |
Optimization Techniques | 3 |
Regression Models for Count Data | 3 |
Spatial Data Analysis | 3 |
Statistical Genetics | 3 |
Statistical Methods for Clinical Trials | 3 |
Structural Equation Models | 3 |
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.
Superior University has revolutionised higher education practices by implementing modern pedagogical approaches driving its curricula, including the flagship 3U1M Program that ensures the employability of the graduates imbibed with the Entrepreneurial Teaching & Training Program (ETTP), Outcome-Based Education (OBE) and Project Based Learning (PBL) methodologies.
Superior University has revolutionised higher education practices by implementing modern pedagogical approaches driving its curricula, including the flagship 3U1M Program that ensures the employability of the graduates imbibed with the Entrepreneurial Teaching & Training Program (ETTP), Outcome-Based Education (OBE) and Project Based Learning (PBL) methodologies.
©2023. Superior University. All Rights Reserved.