MASTER OF APPLIED RESEARCH AND STATISTICS PROGRAM
VISION:
To prepare students with the knowledge and skills to become leading experts in the field of applied research and statistics, capable of making a significant impact on their industries and communities.
MISSION:
The Master of Applied Research and Statistics program strives to provide students with a rigorous and practical education in the theories, methods, and techniques of research and statistics. The program aims to produce graduates who are capable of conducting high-quality research, analyzing complex data sets, and making informed decisions in a variety of fields.
PROGRAM LEARNING OUTCOMES:
Master of Applied Research and Statistics program, students should be able to:
- Demonstrate a comprehensive understanding of the theories and principles of research and statistics, including statistical inference, experimental design, and data analysis.
- Apply advanced statistical techniques to solve real-world problems, including predictive modeling, multivariate analysis, and machine learning.
- Develop and execute research projects from conception to completion, including formulating research questions, designing studies, collecting and analyzing data, and reporting findings.
- Critically evaluate research studies and statistical analyses in order to assess their validity, reliability, and generalizability.
- Communicate research findings effectively through written reports, oral presentations, and visual displays.
- Demonstrate ethical and professional behavior in all aspects of research and statistical practice, including protecting participant confidentiality, avoiding conflicts of interest, and adhering to best practices in data management and analysis.
Program Structure
The program comprises Four semesters with the following structure.
| CODE | COURSE NAME | CREDIT |
| ACW 111 | Academic Writing Skills | 3 |
| ARM 110 | Applied Research Methodology | 3 |
| STAT 100 | Descriptive Statistics for Research | 3 |
| STAT 101 | Statistical Inference | 3 |
| RPS 111 | Writing Research Paper Project | 3 |
| SRC 120 | Introduction to Statistical Computing | 3 |
| RPW 112 | Research Report & Writing Skills | 3 |
| STAT 103 | Applied Regression Analysis | 3 |
| ARM 111 | Qualitative Research Methods | 3 |
| MMR 131 | Mixed Methods Research | 3 |
| SRC 121 | Advanced Statistical Computing | 3 |
Entry Requirements
- Applicants of this program should possess a bachelor’s degree.
- All Applicants must pass the university English proficiency test or provide evidence for international English certification.
Duration:
1.5 year = 4 Semesters * 4 months
Program Fees:
- Tuition Fees: $2000 ($100/ Month)
- Registration Fees: $80
PROGRAM CERTIFICATION REQUIREMENT
I. to be eligible for the Postgraduate Diploma in Research & Statistics, you must successfully complete 9 courses and a supervised dissertation.
II. To qualify for the Master of Applied Research & Statistics (MARS) you have complete successfully the course work units and to publish a research paper in indexed journals.
Graduation Requirements
Candidates must fulfil the following requirement for graduation to qualify for the degree:
- Satisfactorily completed all the courses and the total number of credit hours specified for the program.
- Obtained a final CGPA of at least 2.67 on completion of the program.
- Paid all fees due to the university.
Grading System
The grading system for all courses is as follows:
| Marks | Grade | Grade Point (GPA) | Meaning |
| 90-100 | A+ | 4.00 | High Distinction |
| 80-89 | A | 3.67 | Distinction |
| 75-79 | A- | 3.33 | Very Good |
| 70-74 | B+ | 3.00 | Good |
| 65-69 | B | 2.67 | Pass |
| 60-64 | B- | 2.33 | |
| 55-59 | C+ | 2.00 | |
| 50-54 | C | 1.67 | |
| Less than 50 | F | 0.0 | Fail |