Statistics

Programs

M. Sc. Program

Eligibility

The eligibility criterion for admission in M.Sc. Statistics is; B.A/B.Sc in at least 2nd division (45% marks).

Scheme of Study for M. Sc.

Degree Duration                                      4-6 Semesters
Courses                                                 54 Credits
Reading and Conference                           1-Credit
Thesis /Project Report                              8-Credits
Comprehensive Oral Examination                 S/U Basis
Internship/Practical Training                      S/U Basis
Total Credits                                           63-Credits

Job opportunities for Graduates

The graduates have bright prospects and placed in a wide range of fields including teaching, Banking, Accounts, Financing, Agriculture, Statistical division, Management organization and research. 

Faculty Courses for M.Sc.

Ist Semester

Code

Courses Title

Lec.Hrs

Lab.Hrs

Credit Hrs

STA-511
STA-512
STA-513
STA-514
STA-515

Probability & Probability Distributions-I
Statistical Methods
Sampling Techniques
Mathematical Methods for Statistics
Computational Techniques

2
3
2
3
2

1
0
1
0
1

3
3
3
3
3

2nd Semester

Code

Courses Title

Lec.Hrs

Lab.Hrs

Credit Hrs

STA-521

Probability & Probability Distributions-II

3

0

3

STA-522

Experimental Designs-I

2

1

3

STA-523

Statistical Inference-I (Estimation)

3

0

3

STA-524

Survey Sampling

2

1

3

STA-525

Regression Analysis-I

2

 1

3

3rd  semester

Code

Course Title

Lec.Hrs

Lab.Hrs

Credit Hrs

Compulsory Courses

STA-631 

Experimental Designs-II
   2     
3
1

STA-632

Statistical Inference-II (Hypotheses Testing)
3  
0
3

STA-633  

Reading and Conference         
0  
1

Any three of optional courses may be selected out of the following optional courses

STA-634

Population Analysis and Official Statistics

3

0

3

STA-635

Decision Theory

3

0

3

STA-636

Time Series Analysis and Forecasting

2

1

3

STA-637

Multivariate Statistics

2

1

3

STA-638

Non-Parametric Statistics & Categorical Data

3

0

3

STA-639

Introduction to Stochastic Processes

3

0

3

4th  semester

Code          
Course    Title
Lec.Hrs   
Lab.Hrs 
Credit Hrs

Compulsory Courses

STA-641

Quality Control and Quality Management

2

1

3

STA-642

Regression Analysis-II

2

1

3

STA-643

Thesis

8

0

8

STA-644

Comprehensive Oral Examination

S/U Basis

 

STA-645

Internship/Practical Training

S/U Basis

Any one of optional course may be selected out of the following optional courses

STA-646

Management and Operation Research

2

1

3

STA-647

Bayesian Statistics

3

0

3

STA-648

Survival Analysis

3

0

3

STA-649

Statistical Packages

3

0

3

 

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