Institutional Factor
SS CASE IT has a mission to contribute in the industrial sector by producing computer experts both in hardware and software who can lead the industry by introducing best professional practices. SS CASE IT is significantly contributing in today’s engineering industry by providing knowledge to technical personnel at undergraduate level (Electrical & Computer Engineering, Computer Science) and at the graduate level (Software Engineering, Information Security, and Electrical and Computer Engineering.) keeping in view the requirement of skilled manpower for the local industry. To fill the gap of software part in the existing engineering programs, SS CASE IT intends to launch Master of Science in Computer Science degree at the Graduate level as part of its Faculty of Computing.
Objectives
The MS in Computer Science provides intensive preparation in the concepts and techniques related to the design, programming, and application of computing systems. Students are provided a deep understanding of both advanced and important current issues in computer science so that they may either obtain productive employment or pursue advanced research. The MS in Computer Science program requires the student to take a broad spectrum of courses, while simultaneously allowing for emphasis in desired areas of specialization close to software technologies, systems and networks, multimedia, visual computing, embedded systems, information security engineering, software engineering and information systems.
Learning Outcomes
The graduates of this program can enter the work force by planning, organizing, developing, managing and maintaining informatics systems. For the most capable and determined students, in particular, who will continue with a doctorate, management careers will come available, because a solid competence on the principles of complexity and problems solving goes together with the ability to interact, of team-work and innovative proposals. Least but not last, individual capabilities are of the maximum importance: computer science is still a field where newly created innovative companies created by enterprising young people, often can top consolidated enterprises on time and quality.
Eligibility Criteria
Degree in relevant subject, earned from a recognized university after 16 years of education with at least 60% marks or CGPA of at least 2.0 (on a scale of 4.0).
The following courses are recommended to be completed as prerequisite against core courses of the program if required:
Design and Analysis of Algorithms
Assembly Lang./Computer Architecture
Computer Networks
Computer Programming
Data Structures
Database Systems
Operating Systems
Software Engineering
Theory of Automata
These prerequisite courses will be shown in the transcript as non-credit courses. The student will be admitted in the program as per recommendations of Academic Affairs Committee.
Degree Completion Requirements
To become eligible for award of MS degree, a student must satisfy the following requirements:
Courses Breakdown for Thesis Option:
| Code |
Course Title |
Credit Hours |
| |
Four (04) Core Courses |
12 |
| CS6901 |
Research Methodology |
3 |
| CS6902 |
Thesis |
6 |
| |
Two (02) Courses from the program electives |
6 |
| |
Two (02) Courses from the university electives |
6 |
| |
Total |
33(33-0) |
(*Must have earned CGPA (Cumulative Grade Point Average) of at least is CGPA of 2.5)
Courses breakdown for Non-Thesis Option:
| Code |
Course Title |
Credit Hours |
| |
Four (04) Core Courses |
12 |
| |
Three (03) Courses from the program electives |
9 |
| |
Three (03) Courses from the university electives |
9 |
| |
MS Project |
3 |
| |
Total |
33(33-0) |
(*Must have earned CGPA (Cumulative Grade Point Average) of at least is CGPA of 2.5)
Program Elective Courses List
Earned at least 18 credits
Passed the “Research Methodology” course
CGPA is equal to or more than 2.5
Core Courses for MS (Computer Science)
At least four courses must be taken from the following:
CS6001 Advanced Theory of Computation
CS6002 Advanced Algorithm Analysis
CS6003 Advanced Operating Systems
CS6004 Advanced Computer Architecture
CS6005 Theory of Programming Languages
Elective Courses
Net-Centric Computing
CS6101 Advanced Computer Networks
CS6102 Simulation Modeling and Analysis of Computer Networks
CS6103 Simulation Modeling and Evaluation of Mobile Networking
CS6104 Data Compression
CS6105 Network Performance Evaluation
CS6106 Network Security
CS6107 Cluster Computing Systems
CS6108 Cloud Computing
CS6109 Distributed Computing Systems
CS6110 Advanced Topics in Computer Networking
CS6111 Advanced Topics in Net-Centric computing
Intelligent Systems & Information Management
CS6201 Adaptive & Intelligent Control
CS6202 Machine Learning
CS6203 Deep Learning
CS6204 Artificial Intelligence & Neural Computing
CS6205 Computer Vision
CS6206 Digital Image Processing
CS6207 Data Mining
CS6208 Parallel and Distributed Database Systems
CS6209 Distributed Data Processing
CS6210 Data Warehousing
CS6211 Object Oriented Databases
CS6212 Data Visualization
CS6213 Big Data Analytics
CS6214 Bayesian Data Analysis
CS6215 Social Network Analysis
CS6216 Time Series Analysis and Prediction
CS6217 Natural Lanuage Processing
CS6218 Semantic Web
CS6219 Advanced Database Management Systems
CS6220 Advanced Topics in Intelligent Systems
CS6221 Advanced Topics in Information Managament
Software Engineering
CS6301 Advanced Software Engineering
CS6302 Statistics For Software Engineering
CS6303 Object Oriented Software Engineering
CS6304 Software Quality Management
CS6305 Software Development Process
CS6306 Information Systems
CS6307 Software Project Management
CS6308 Systems Engineering
CS6309 Advanced Topics in Software Engineering
Graphics and Visual Computing
CS6401 Advanced Computer Graphics and visualization
CS6402 Multimedia Communications
CS6403 Virtual Reality
CS6404 Geographical Information Systems
CS6405 Computer Animation
CS6406 Advanced Topics in Graphics and Visual Computing
Programming Language Design and Translators
CS6501 Advanced Compiler Design
CS6502 Programming Language Design
CS6503 Cryptography and Network Security
Computer Architecture and Organization
CS6601 Real Time Embedded Systems
CS6602 Parallel Processing: Architecture & Algorithms
CS6603 Reconfigurable Computing
Systems Engineering
CS6701 Digital Signal Processing
CS6703 Advanced Digital Systems Design
CS6704 Special Topics in Control Systems
CS6706 Linear Systems and Controls
CS6707 Real Time Operating Systems
CS6708 Real time Embedded System
Information Security
CS6801 Information and Coding Theory
CS6802 Cryptography & Network Security
CS6803 Information Security Strategies & Policies
CS6804 Computer System Security
CS6805 Advanced Cryptography & Cryptanalysis
CS6806 Advanced Topics in Information Security
CS6807 Cyber Forensic Analysis