MASTERS IN COMPUTER SCIENCE
INTRODUCTION
The Master in Computer Science program at DSU is designed to help students advance their professional knowledge and skills beyond the Bachelor level. The specific objectives of the program are to enable graduates to understand the computing profession with respect to professional, social, and ethical issues that prepare them for potential challenges in the future.
FACULTY
The Department of Computer Science at DSU has highly qualified faculty possessing vast experience of teaching and research at leading universities. Most of them also have rich experience of working in the industry. The faculty is actively engaged in developing solutions for the present problems using futuristic concepts. Such projects have great potential for local and international fundings and grants. The faculty in the Department of Computer Science provides guidance to do research in many areas including Artificial Intelligence, Bio-Informatics, Distributed & Parallel Computing, Information Security, Multimedia & Game Development, Graphics & Visualization, and Software Engineering.
LABS
Computer Science Laboratories at DSU provide students with hands-on experience in analysis, design, coding, and testing activities for computational problems. Computing tools and devices are powered by state-of-the-art Data Center to assist in the construction and analysis of computing intensive applications. The laboratory experiences provide opportunities for students to explore and learn core computing practices and prepare for industrial liaison and entrepreneurship. The Department of Computer Science at the DHA Suffa University has established the following labs to cater to the needs of students and researchers:
INDUSTRIAL LIAISON
The Department of Computer Science at DSU has launched initiatives with various software houses, IT companies, and professional bodies for keeping the curriculum up-to-date and in coherence with the demand of the industry. For these purposes, the department is focusing on different training programs for students as well as for the faculty. Furthermore, seminar sessions by senior IT entrepreneurs and professionals being held also motivate the students and provide them a direction to envision themselves as future entrepreneurs. The Department also plans to develop technology incubators in the near future which will enable students to work on real-world projects during their vacations or as their course projects.
CAREERS
Department of Computer Science at DSU has initiated steps for career advancement of its students with various software houses and IT companies. Some of the careers that a computer science graduate of DSU can pursue include IT Entrepreneur, Information Technology Manager, Information Technology Consultant, Software Architect, System Analyst, Software Engineer, Web Application Developer, Database Administrator, Network Administrator, Software Quality Assurance Analyst, Faculty Member in the academia, etc. There are numerous opportunities available for computer science graduates of DSU both within Pakistan and abroad. Research and development is also a lucrative prospect for CS graduates. Further academic achievement can take place via MS / PhD, or trade certifications.
ELIGIBILITY CRITERIA FOR MS (COMPUTER SCIENCE)
- Sixteen years of schooling or 4-years education after HSSC/Grade 12 equivalent in a relevant field of study will be required for admission in the Masters program
- The applicant must pass the NTS GAT General Test with a minimum score of 50% or other such equivalent test acceptable as per HEC guidelines
NOTE:
Failures and students appearing for improvement exams are not eligible to apply for admission.
REQUIRED DOCUMENTS
Following documents must accompany the application on the prescribed form
- Transcripts/Marks Sheet of past academic record
- NTS/GRE/Equivalent Score Card (if applicable)
- Copy of CNIC
- One passport size photograph with white background
- PEC Registration Certificate (For Engineers Only)
Program: MS (COMPUTER SCIENCE)
Semester-1
| S.NO | COURSE CODE | COURSE | CORE | CH |
|---|---|---|---|---|
|
1 |
CS-5001 |
Advanced Analysis of Algorithms |
Y |
3 |
|
2 |
CS-5002 |
Advanced Theory of Computation
|
Y |
3 |
|
3 |
CS-5XXX |
MS(CS) Elective 1 |
N |
3 |
|
4 |
CS-5000 |
Research Methodology |
Y |
1 |
Semester-2
| S.NO | COURSE CODE | COURSE | CORE | CH |
|---|---|---|---|---|
|
1 |
CS-5003 |
Advanced Computer Architecture |
Y |
3 |
|
2 |
CS-5004 |
Advanced Operating Systems |
Y |
3 |
|
3 |
CS-5XXX |
MS(CS) Elective 2 |
N |
3 |
Semester-3
| S.NO | COURSE CODE | COURSE | CORE | CH |
|---|---|---|---|---|
|
1 |
CS-6XXX |
MS(CS) Elective 3 |
N |
3 |
|
2 |
CS-6XXX |
MS(CS) Elective 4 |
N |
3 |
|
3 |
CS-6900 |
MS Thesis-I |
N |
3 |
Semester-4
| S.NO | COURSE CODE | COURSE | CORE | CH |
|---|---|---|---|---|
|
1 |
CS-6901 |
MS Thesis-II |
N |
3 |
Failures and students appearing for improvement exams are not eligible to apply for admission.
ELECTIVE COURSES FOR MS IN COMPUTER SCIENCE
| AREA | COURSE TITLE |
|---|---|
|
Mobile & Ubiquitous Computing |
Ubiquitous Computing Mobile Application Development Mobile & Wireless Computing Mobile Software Engineering |
|
Cloud & Cluster |
Computing Cloud Computing Social Computing Cluster & Grid Computing Concurrent & Distributed Computing Big Data Analytics Computational Social Science Data Mining |
|
Bio-Informatics
|
Introduction to Bio-Informatics Computational Biology Biological Data Management Computational Genomics Protein Sequence & Structural Analysis System Biology |
|
Computational
Linguistics |
Natural Language Processing Statistical NLP Computational Grammar Machine Learning Computational Morphology |
|
Computer Graphics and
Visualization |
Advanced Computer Graphics
Physically based Animation in Computer Graphics Mobile Graphics Programming on Android High Performance Computing using CUDA Graphics Programming in the Web Browser using WebGL Mathematical Methods in Computer Graphics Introduction to GPU Programming using Shaders Scientific Visualization |
NOTE:
- * 80% and above marks in Intermediate 50% discount (subject to maintaining 3 CGPA) in BS Data Science
- * 70% to 79.99% marks in Intermediate 40% discount (subject to maintaining 3 CGPA) in BS Data Science
- * 25% discount for all Computer Science Department programs offered at DCK Campus
- ** For Pre-Medical Students
- The University reserves the right to change fee/charges on yearly basis.
- MS/PhD Research Fee will be charged as per credit hour Tuition Fee.
- PhD Comprehensive Examination Fee is RS. 5000/-
- There will be an additional fee for PhD Thesis evaluation by foreign evaluators.
- Advance Tax (under section 236-I) shall be collected @ 5% on the entire amount of fee (if the student’s payable fee exceeds Rs. 200,000/- per annum, excluding the amount refundable).
