Introduction
Master of Science in Information systems is designed to offer an opportunity for advanced studies, research capacity and career development in the field of Information Systems. The program contents are tailored to enable graduates to translate their knowledge and skills to market needs and demonstrate creativity, innovative problem solving and competitiveness, as demanded by the nation to increase expertise in the ICT industry. Graduates from this program have the necessary background to pursue the Doctor of Philosophy in the field of Computer Science or related fields
Program Objectives
- To produce graduates who have the ability to independently acquire, develop & apply advanced computer science knowledge, related to information systems, and skills to solve problems.
- Prepare graduates who are competent researchers, systems designers/developers and academicians in areas related to information systems.
- Produce professional national talented workforce who can deal with the ever-changing demands of the computing environment and skilled in solving problems creatively, innovatively and ethically.
Program Learning Outcomes
- Master important concepts and theories in Computer Science with in-depth knowledge in the area of Information Systems.
- Apply knowledge using techniques, skills, current methodologies, and tools to design and develop models, algorithms, systems and applications.
- Communicate and play a proactive role in a group to efficiently conduct research or develop projects & systems.
- Identify problems in various industries that can be utilized with Computing knowledge and solve them through scientific research.
- Demonstrate entrepreneurial intelligence and be able to apply management principles in related activities and be able to suggest creative, innovative ideas of values beneficial to the society at large.
Course Structure
The type of program offered for the Master of Science in Information systems consists of 9 subjects’ coursework and research leading to the submission of a dissertation in the candidate’s area of study.
| CODE | COURSE | CREDIT HRS |
| CS1001 | Advanced Algorithms | 3 |
| CS1002 | Research Methodology | 3 |
| CS1003 | Principles of Data Science | 3 |
| CS1004 | Parallel and Distributed Computing | 3 |
| CS1005 | Statistics | 3 |
| IS2001 | OOP + Software Engineering | 3 |
| IS2002 | Emerging Technologies in Information Systems | 3 |
| IS2003 | Advanced DataBase Technology | 3 |
| IS2004 | Advanced Programming | 3 |
| SUBTOTAL | 27 | |
| CS2001 | DISSERTATION | 18 |
| TOTAL PROGRAM CREDIT HOURS | 45 |
Course Plan
| CODE | COURSE | CREDIT HOUR |
| SEMESTER I | ||
| CS1001 | Advanced Algorithms | 3 |
| CS1003 | Principles of Data Science | 3 |
| SUB-TOTAL | 6 | |
| SEMESTER II | ||
| CS1004 | Parallel and Distributed Computing | 3 |
| IS2001 | OOP + Software Engineering | 3 |
| CS1005 | Statistics | 3 |
| SUB-TOTAL | 9 | |
| SEMESTER III | ||
| IS2002 | Emerging Technologies in Information Systems | 3 |
| CS1002 | Research Methodology | 3 |
| CS2001 | DISSERTATION (Topic selection, problem definition, objectives, research questions, hypothesis) | 3 |
| SUB-TOTAL | 9 | |
| SEMESTER IV | ||
| IS2003 | Advanced Database Technology | 3 |
| IS2004 | Advanced Programming | 3 |
| CS2001 | DISSERTATION (proposal defence) | 3 |
| SUB-TOTAL | 9 | |
| SEMESTER V | ||
| CS2001 | DISSERTATION (completion, prepare publication) | 12 |
| SUB-TOTAL | 12 | |
| GRAND-TOTAL | 45 Credit Hours | |
Entry Requirements
- Applicants of this program should possess a bachelor’s degree in a related field with a minimum CGPA of 2.5
- All Applicants must pass the university English proficiency test or provide evidence for international English certification.
Duration
16 to 20 Months = 4 to 5 Semester, 1 Semester = 4 Months
Program Fees:
- Tuition Fees: $2,200 ($110 / Month)
- Registration Fees: $80
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 | 4.00 | Distinction |
| 75-79 | A- | 3.67 | Very Good |
| 70-74 | B+ | 3.33 | Good |
| 65-69 | B | 3.00 | Pass |
| 60-64 | B- | 2.67 | |
| 55-59 | C+ | 2.00 | Fail |
| 50-54 | C | 1.67 | |
| Less than 50 | F | 0.0 |