MASTER OF SCINECE IN APPLIED STATISTICS   (MAS)

August 21, 2025


PROGRAM OVERVIEW 
The Master of Science in Applied Statistics (MAS) is a specialized graduate degree designed to equip participants with comprehensive training in the arts and science of collecting, organizing, presenting, analyzing, and interpreting numerical data. It emphasizes the practical application of these skills to enhance decision-making and problem-solving abilities across diverse fields such as banking, business, economics, health, population studies, and the social sciences. With a strong focus on practicality, the program integrates the use of advanced software tools to develop and refine statistical expertise; ensuring participants are well-prepared to address real-world challenges.
PROGRAMME OBJECTIVES:

 

Career Opportunities 
A Master of Applied Statistics (MAS) opens up a wide range of career opportunities across various industries, as data-driven decision-making is increasingly critical in today's world. Here are some of the key career paths and opportunities for graduates with this degree:

 


DURATION 
 A Two-Year Program (Four Semesters)


PROGRAM FEE
Registration Fee: USD 50/- Non-refundable
Tuition Fee : USD 2000/-

Admission Requirements 
Prospective students interested in enrolling in the program must meet the following admission requirements:
1.    A completed application form.
2.    Official transcripts from the previously attended university (3 copies).
3.    A bachelor’s degree certificate.
4.    Six passport-sized photographs (1x1 inch).
5.    Reference letters from an instructor or employer (3 copies).
6.    Demonstration of language proficiency as part of the academic evaluation process.
7.    All applicants will undergo a selection process as determined by the respective department.

Ensure all documents are submitted accurately and in a timely manner to complete the application process

Course Structure 
Students are required to take twenty one (21) core courses. These courses are presented in the following table.

 

#

Course Code

Course Name

Credit Hours

First Semester

1

STA 1101  

PROBABILITY THEORY   

45 HRS

2

STA 1102  

STATISTICALINFERENCE THEORY

45 HRS

3

STA 1103  

DESIGN AND ANALYSIS OF EXPERIMENT

45 HRS

4

STA 1104  

DATA MANAGEMENT AND ANALYSIS

45 HRS

5

STA 1105

   TIME SERIES ANALYSIS 

45 HRS

6

STA 1106  

DESIGN AND ANALYSIS OF SAMPLE SURVEYS

45 HRS

Second Semester

7

STA 1207   

RESEARCH METHODOLOGY

45 HRS

8

STA 1208  

STATISTICAL INFERENCE THEORY II

45 HRS

9

STA 1209  

MULTIVARIATE ANALYSIS  

45 HRS

10

STA 1210 

NON PARAMETRIC METHODS

45 HRS

Third Semester

11

STA 2311 

PARAMETRIC REGRESSION ANALYSIS

45 HRS

12

STA 2312 

DEMOGRAPHY AND VITAL STATISTICS

45 HRS

13

STA 2313  

SURVIVAL AND CLINICAL DATA ANALYSIS

45 HRS

14

STA 2314

   EPIDEMIOLOGICAL RESEARCH METHODS  

45 HRS

15

STA 2315

  STOCHASTIC PROCESS  

45 HRS

Fourth semester

16

STA 2416

     ECONOMETRICS 

45 HRS

17

STA 2417

     STATISTICAL COUNSELING-ACTIVITY  

45 HRS

18

STA 2418

   NON-PARAMETRIC REGRESSION ANALYSIS

45 HRS

19

STA 2419

STATISTICAL PACKAGES 

45 HRS

20

STA 2420

   OPERATIONAL RESEARCH  

45 HRS

21

STA 2421

  STATISTICS SEMINARS

45 HRS