Master of Science (MS)
The Master of Science (M.S.) program in Statistics fosters at specializing and training in statistical methodology in its theoretical, practical/applied, and in scientific research aspects of modern age, particularly with computer intensiveness.
This program shall extend over one academic year (July to June). Students enrolled under this program comprise of two groups namely Non-Thesis Group and Thesis Group. The courses offered by the department are of compulsory and optional nature. The total unit of courses is 7, totaling 700 marks, 4 units of which being compulsory courses and remaining 3 units being optional courses. Students from each group have the option to choose any 3 of the available optional courses offered by the department. Out of 7 units 1½ units of practical courses has to be taken by the general group students and 1 unit of practical courses has to be taken by the thesis group students.
The examinations to evaluate students’ performance shall be held at the end of the academic year. The class attendance carries 10% of the total marks in all courses (theoretical and practical). The course-end examinations carry 70% marks both in theoretical and practical courses, while 20% of the total marks are allocated for tutorial examinations that spread through the whole academic year. The general group students shall have to submit a report carrying 50 marks, out of which 20 for oral presentation and 30 for report evaluation; and the thesis group students shall have to submit a dissertation carrying 100 marks, out of which 40 for oral presentation and 60 for thesis evaluation. At the end of all course examinations students shall
The group-wise structure for the M.S. program is given below:
General Group
Courses |
Units |
Credit Hours |
Total Marks |
Theoretical |
4½ |
18 |
450 |
Practical |
1½ |
6 |
150 |
Report |
½ |
2 |
50 |
Viva Voice |
½ |
2 |
50 |
Total |
7 |
28 |
700 |
Thesis Group
Courses |
Units |
Credit Hours |
Total Marks |
Theoretical |
4½ |
18 |
450 |
Practical |
1 |
4 |
100 |
Thesis |
1 |
4 |
100 |
Viva Voice |
½ |
2 |
50 |
Total |
7 |
28 |
700 |
The course distribution portraying courses code, title and their marks is given below:
Compulsory Courses
Course No |
Course Title |
Marks |
Credit Hours |
STAT. 501 |
Advanced Multivariate Analysis |
100 |
4 |
Stat. 502 |
Advanced Classical and Bayesian Inference |
100 |
4 |
Stat. 503 |
Sample Survey |
50 |
2 |
Stat. 504 |
Applied Stochastic Process and Stochastic Simulation |
50 |
2 |
Optional Courses
Course No |
Course Title |
Marks |
Credit Hours |
Stat. 505 |
Advanced Design of Experiment |
50 |
2 |
Stat. 506 |
Advanced Time Series Analysis |
50 |
2 |
Stat. 507 |
Econometric Analysis |
50 |
2 |
Stat. 508 |
Generalized Linear Models |
50 |
2 |
Stat. 509 |
Epidemiology and Survival Analysis |
50 |
2 |
Stat. 510 |
Big Data |
50 |
2 |
Stat. 511 |
Meta Analysis |
50 |
2 |
Stat. 512 |
Population Studies |
50 |
2 |
STAT. 513 |
Environmental Statistics |
50 |
2 |
STAt. 514 |
Computer Intensive Statistics |
50 |
2 |
Practical Courses
Course No |
Course Title |
Marks |
Credit Hours |
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General Group |
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Stat-Lab.515 |
Statistical Data Analysis-I |
50 |
2 |
Stat-Lab.516 |
Statistical Data Analysis-II |
50 |
2 |
Stat-Lab.517 |
Statistical Data Analysis-III |
50 |
2 |
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Thesis Group |
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Stat-Lab.518 |
Statistical Data Analysis-IV |
50 |
2 |
Stat-Lab.519 |
Statistical Data Analysis-V |
50 |
2 |