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 |
|