| Program Description |
Programme Objectives
1. To prepare graduates who will be successful professionals in industry, government, academia, research, entrepreneurial pursuit and consulting firms
2. To prepare graduates who will contribute to society as broadly educated, expressive, ethical and responsible citizens with proven expertise
3. To prepare graduates who will achieve peer-recognition; as an individual or in a team; through demonstration of good analytical, research, design and implementation skills
4. To prepare graduates who will pursue higher goals of life-not succumb to mundane pressures of life by having clarity in thought, word and deed
Programme specific Outcomes
1. an ability to apply knowledge of mathematics, science and engineering in practice
2. an ability to identify, critically analyze, formulate and solve engineering problems with comprehensive knowledge in the area of specialization
3. an ability to contribute by research and innovation to solve engineering problems
4. an ability to come up with a model and evaluation criteria so that the results/solution can be interpreted to provide for well-informed conclusions
5. an ability to understand the impact of engineering solutions in a contemporary, global, economic, environmental, and societal context for sustainable development
6. an ability to function professionally with ethical responsibility as an individual as well as in multidisciplinary teams with positive attitude
Basic Structure
M.Tech.(Computer Science) is a four-semester programme for 74 Credits. Students with either Bachelor’s degree in Engineering or Master’s degree in Science are admitted. The students are expected to have undergone formal educational training with appropriate credits in first level courses in Computer organization and architecture, Computer networks, Data base systems, Systems programming. Students are also expected to have undergone formal training in Programming with C, C++ and Java language. These courses constitute the prerequisites for the M.Tech.(Computer Science) programme. In addition to this, fair knowledge of Operating systems, Compiler Design, Formal Languages and Automata Theory, hands on experience with UNIX environment and familiarity in programming with PYTHON, MATLAB etc. will be advantageous to the students seeking admission to this course. A student takes in all 10 courses of which 6 are core courses which pertain to the fundamentals of computer science. The remaining 4 are elective courses which give the scope for specialization in the individual's interest or thrust areas of the department.
Course Design
Semester Duration: A maximum of 14 weeks is typically used in the semester to deliver any subject.
Credit Distribution:
1. Total 74 credits for the course is distributed as given below:
a. 6 Core Theory subjects 18 (3 credits each)
b. 5 Core Practical subjects 10 (2 credits each)
c. 4 Elective subjects 16 (4 credits each)
d. 4 Seminar presentations 4 (1 credit each)
e. 2 Viva voce at the end of semester 2 (1 credit each)
f. Comprehensive Viva voce in the fourth semester 2 credits
g. Project during the third and fourth semester 18 credits
h. Awareness Courses 4 credits
2. An elective subject may be designed to have two different components/mode of delivery namely, Theory and Practical with clear division of credits among the components. For example, a 4 credit course could be specified as 2L+2P to indicate 2 credits for lectures and 2 credits for practical or as 3L+P meaning 3 credits for lecture and one credit for practical or L+3P to indicate 1 credit for lectures and 3 credits for practical.
3. Typically, one lecture credit (T) is given one period per week, one practical credit (P) is given minimum of two and maximum of three periods per week.
4. In the first two semesters students have four seminar presentations that demand independent study of research papers, latest technology trends in the areas of interest and presentation skills. Seminar-I & III will be on study of Research Papers published in journals. Seminar-II & IV will be based on happenings and latest technology trends in the area of Computer Science.
5. The Comprehensive Viva voce is conducted in the final semester.
6. The students have to do a two-semester project starting from third semester.
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| Admission & entry requirements |
The candidate must have either passed or appeared for final exams of one of the following: a) M.Sc. in Mathematics or
M.Sc. in Physics or M.Sc. in Computer Science or M.C.A., or b) B.E. in Computer Science / B.Tech. in Computer Science
Candidates with a Bachelor’s degree (B.E. / B.Tech.) in Computer Science, Computer Science and Engineering, Electronics
& Communications Engineering (with Computer Science background*) and Information Technology (with Mathematics
background) are eligible to apply.
Bachelor’s degree: 60% or more (Aggregate incl. English) or CGPA aggregate of 6 or more (10-point scale)
(If not appeared B.E./B.Tech./M.Sc. final exams, aggregate marks in all the preceding Years/Semesters put together
marks will be considered)
Master’s degree: 60% or more (Aggregate incl. English) or CGPA aggregate of 6 or more (10-point scale) with 50% or more
in English at the Bachelor’s level
Familiarity with the following is mandatory for admissions:
Mathematics: Calculus of one and several variable, Sequence and Series, Linear Algebra and Matrix Theory, Differential
equations and Laplace Transforms, Mathematical logic.
Computer Science: Data Structures and Simple Algorithms, Computer Organization and Architecture, Data
communications and Networks, Data base Systems, Languages Translators
Age: preferably below 28 years as of 31st May in the year of admission
*Implies an adequate, formal training and qualification from a recognized institution or relevant Computer/IT industry/academic
experience for a minimum period of 5 years
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