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Master of Science in Computer Science
Program at Glance:-
The Department of Computer Science is committed to a high quality
graduate education. The research conducted by CS faculty enables graduate students
a comprehensive, state-of-the-art understanding of computer science and its application
to a wide range of other disciplines. A substantial level of sponsored research
has been achieved thereby providing financial support for many graduate students
in the form of research assistantships.
The graduate program in Computer Science also upholds and strengthens the mission
of MOST (Ministry of Science and Technology), and HEC by providing excellence in
instruction, innovation in research and scholarship, and service to the university,
the profession, and the public.
The objectives of the Graduate Computer Science Program are that all students will:
- Possess a breadth of knowledge in Computer Science, combined with a depth of knowledge
in at least one focus area;
- Be capable of independent research in Computer Science;
- Be familiar with the literature in the field and be able to perform a literature
search on an advanced topic in Computer Science;
- Be knowledgeable about the theoretical foundations of computing and have strong
practical application experience;
- B able to make a professional presentation and be able to write a professional
paper in Computer Science;
- Have experience working in teams;
- Understand and respect the professional standards of ethics expected of a computer
scientist.
Admission Requirements:-
A minimum of 16 year degree in any of the following fields from an accredited educational
institution for admission into MS program;
- Computer Science
- Engineering or equivalent
- Basic Sciences (Physics/Mathematics/Statistics)
- Bio-Informatics/Management or related fields
Career Opportunities:-
The objective of offering MS in Computer Scinces is to provide an opportunity to
enhance the knowledge of all those graduates who have good scholastic background
in Computer Science or related disciplines. It is a platform for them to work in
and explore further their areas of interest. The course is tailored in a way that
it covers state-of-art concepts in the realms of computer science. The department
of Computer Science if offering MS for Full-time students.
- Careers in academia
- Careers in research
- Careers in industrial research projects
Scheme of Study:-
Program structure
Students have to take minimum of 8 courses to complete the required 24 credit hours
of course work with 6 credit hours of thesis option. This completes the 30 credit
hours required for MS degree.
Core Courses
- Advance Algorithm Analysis
- Advance Computer Architecture
- Advance Operating Systems
- Advance Computer Networks and Data Communication
- Research Methodology
Pre-Requisite for the Core Courses
- Introduction to Programming
- Database Systems
- Operating Systems
- Computer Architecture
- Computer Networks
- Analysis of Algorithms
Electives
Following electives are available in these disciplines. More Electives can be added
to this list. The offering however depends upon the requirements and availability
of the resources.
Areas of Specialization - MS in Computer Sciences:-
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Database Systems
- Advance DBMS
- Data Warehousing and Mining
- Distributed Databases
- Object Oriented Databases
- Databases Administration
- Web Based Databases
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Computer Networks
- Network Programming
- Network Security
- Distributed Systems
- Network Standards and Protocols
- Wireless Networks
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Software Engineering
- Software Project Management
- Software Quality Assurance and Management
- Software Engineering Technologies
- Requirement Engineering
- Object Oriented Software Engineering
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Artificial Intelligence
- Intelligent Systems Design
- Artificial Neural Networks
- Machine Learning
- Expert Systems
- Natural Language Processing
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Multimedia and Graphics
- Digital Image Processing
- Pattern Recognition
- Computer Vision
- Advanced Computer Graphics
- Multimedia and Hypermedia Systems
- Geographical Information Systems
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Open Electives
- Semantic Web
- Operations Research
- Formal Methods
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