Unlocking Data's Secrets, Empowering Minds & Advancing Research: Your Path to Data Science and Statistical Expertise

Curriculum

The PhD in Statistics is a full-time 3-5 years program that is further extendable to two years.

In one and a half years, students are required to pursue coursework of 18 credit hours, of which 36 credit hours are needed to build a strong foundation of research in both the qualitative and quantitative fields.

The students have the flexibility to choose a further 12 credit hours of course offerings depending upon the selected stream of studies. Under the guidance of the supervisory committee, the students may be required to take a further minimum of 6 credit hours in any area of deficiency.

PhD StatisticsCredit HoursNo. of Courses
Graduation Requirement 54 6+ Dissertation
Core Courses 9 3
Elective Courses 9 3
Thesis 36 -
Total Course Credit Hours: 18
Program Duration: 3-5 years

Core Courses

  1. Advanced Topics in Experimental Designs
  2. Advanced Topics in Multivariate Analysis
  3. Advanced Topics in Regression Analysis

Elective Courses

  1. Advanced Topics in Probability Theory
  2. Advanced Generalized Linear Models
  3. Advanced Topics in Model-Based Sampling
  4. Advanced Topics in Statistical Inference
  5. Advanced Topics in Sampling Techniques
  6. Advanced Econometrics for Count Data and Durations
  7. Advanced Topics in Time Series Analysis and Forecasting
  8. Advanced Categorical Data Analysis
  9. Advanced Measure Theory
  10. Advanced Topics in Survival Data Analysis
  11. Advanced Applied Stochastic Models
  12. Advanced Spatial Data Analysis
  13. Advanced Distribution Theory
  14. Advanced Inference in Stochastic Processes
  15. Advanced Topics in Bayesian Inference
  16. Advanced Optimization Techniques
  17. Advanced Statistical Ecology
  18. Advanced Medical Statistics
  19. Advanced topics in Statistical Analysis of Clinical Trials
  20. Advanced Financial Stochastic Models
  21. Advanced Topics in Statistical Genetics
  22. Advanced Topics in Repeated Measure Analysis
  23. Advanced Topics in Decision Trees
  24. Advanced Topics in Theory of Mixed Linear Models
  25. Advanced Topics in Operations Research
  26. Advanced Topics in Multilevel Modeling
  27. Advanced Topics in Environmental Statistics
  28. Advanced Topics in Statistical Quality Control
  29. Advanced Topics in Response Surface Design
  30. Recent Advances in Statistics
  31. Computational Statistics
  32. Advanced Topics Population and Demographic Analysis
  33. Advanced Topics Reliability Analysis
  34. Advanced Topics Bio-Statistics
  35. Advanced Topics in Nonparametric Statistics
  36. Advanced Topics in Chemometrics
  37. Advanced Topics in Psychometrics

Comprehensive Examination

Before the commencement of the thesis, every student has to take a comprehensive examination to demonstrate their grasp of the knowledge that they acquired in the area of research. The comprehensive examination will be of 8 hours duration. The aim of the examination is to determine the student's ability to draw on the knowledge they acquired through an integrated framework. The grading will be based on the Qualify/Not Qualify option.

PhD Synopsis

The scholars are encouraged to start their research during their coursework so that they can present their PhD Synopsis in BASAR within one year after passing their comprehensive exam. As per UMT policy, any scholar unable to pass BASAR within one year after their comprehensive exam will be dropped from the degree program, and their admission will be cancelled.

Doctoral Thesis

The thesis write-up will start after the approval of the research proposal by the PhD committee. As per HEC policy, the final doctoral thesis is sent abroad for evaluation by two foreign experts. Based on the Evaluation Report by foreign experts, the student must take a Viva examination. The examiners will include external and internal examiners and, where possible, the foreign experts who evaluated the written thesis. All scholars must publish a scholarly paper in an HEC-recognized journal for the award of a PhD degree.