M.Tech (Computer Science) with an option for specialization in Artificial Intelligence & Machine Learning, and Advance Networks & Systems is a two-year (four-semester) full-time Master’s degree programme offered by the Department of Computer Science. The programme has dedicated two semesters of dissertation with an objective to inculcate and refine research attitude of students. The research project will be under the close supervision of faculty members and equips students to work in R&D institutions, industry or pursue a career in research in academia in future.
Minimum Eligibility
A 4-year B.Tech./B.E./BSc. (Engg.)/BS degree in Computer Science and Engineering or a relevant area* from an institution recognised by the government of any of the SAARC countries with a minimum of 55% marks in the aggregate or an equivalent grade.
OR
A Master’s degree in Computer Science/ Computer Applications/ Mathematics/ Operational Research/ Statistics/ Electronics/ Information Technology/ Physics an institution recognised by the government of any of the SAARC countries with a minimum of 55% marks in the aggregate or an equivalent grade level.
*Indicative List of Relevant Areas:
Number of Seats : 30
The division of seats is as follows:
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India |
Remaining SAARC Countries |
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Route 1 |
Route 2 |
Route 2 |
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10 |
5 |
15 | |||
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Sub-total Number of seats = 15 |
Sub-total Number of Seats = 15 |
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Admission Process
The admission to the programme is through two routes:
Format of the Entrance Test Paper
Syllabus for Entrance Test:
Discrete Mathematics: Propositional and first order logic, Sets, relations, functions, partial orders and lattices, Monoids, Groups, Graphs: connectivity, matching, coloring, Combinatorics: counting, recurrence relations, generating functions.
Linear Algebra: Matrices, determinants, system of linear equations, eigenvalues and eigenvectors, LU decomposition.
Calculus: Limits, continuity and differentiability, Maxima and minima, Mean value theorem, Integration.
Probability and Statistics: Random variables, Uniform, normal, exponential, Poisson and binomial distributions, Mean, median, mode and standard deviation, Conditional probability and Bayes theorem.
Digital Logic: Boolean algebra, Combinational and sequential circuits, Minimization, Number representations and computer arithmetic (fixed and floating point).
Computer Organization and Architecture: Machine instructions and addressing modes, ALU, data‐path and control unit, Instruction pipelining, pipeline hazards, Memory hierarchy: cache, main memory and secondary storage; I/O interface (interrupt and DMA mode).
Programming and Data Structures: Programming in C, Recursion, Arrays, stacks, queues, linked lists, trees, binary search trees, binary heaps, graphs.
Algorithms: Searching, sorting, hashing, Asymptotic worst case time and space complexity, Algorithm design techniques: greedy, dynamic programming and divide‐and‐conquer, Graph traversals, minimum spanning trees, shortest paths.
Theory of Computation: Regular expressions and finite automata, Context-free grammars and push-down automata, Regular and context-free languages, pumping lemma, Turing machines and undecidability.
Operating Systems: System calls, processes, threads, inter‐process communication, concurrency and synchronization, Deadlock, CPU and I/O scheduling, Memory management and virtual memory, File systems.
Databases: ER‐model, Relational model: relational algebra, SQL, Integrity constraints, normal forms, File organization and indexing, Transactions and concurrency control.
Computer Networks: OSI and TCP/IP Protocol Stacks; Basics of packet, circuit and virtual circuit-switching; Data link layer: framing, error detection, Medium Access Control, Ethernet bridging; Routing protocols: shortest path, flooding, distance vector and link state routing; Fragmentation and IP addressing, IPv4, CIDR notation, Basics of IP support protocols (ARP, DHCP, ICMP), Network Address Translation (NAT); Transport layer: flow control and congestion control, UDP, TCP, sockets; Application layer protocols: DNS, SMTP, HTTP, FTP, Email.
Integrated MSc + MTech (Computer Science) with an option for specialization in Artificial Intelligence & Machine Learning, and Advance Networks & Systems is a three-year (six-semester) full- time Master’s degree programme offered by the Department of Computer Science. The programme saves one year of the students intending to acquire higher degree. The programme has dedicated two semesters of dissertation with an objective to inculcate and refine research attitude of students. The research project will be under the close supervisions of faculty members and equips students to work in R & D institutions, industry or pursue career in academics in future.
Minimum Eligibility
A 3 or 4-year Bachelor's degree in Computer Science or a relevant area* with mathematics as a subject either at the Bachelor’s level or at the 10+2 (12th class) level from an
institution recognised by the government of any of the SAARC countries with a minimum of 55% marks in the aggregate or an equivalent grade. Candidates who have a 2-year Bachelor's degree and have cleared the first year of the Master's programme are also eligible.
*Indicative List of Relevant Areas:
Admission Process
The admission to Integrated M.Sc.+M.Tech. (Computer Science) will be made through entrance test only.
Format and syllabus of the Entrance Test Paper
The entrance test for M.Sc. (Computer Science) and Integrated M.Sc.+M.Tech. (Computer Science) will be common. Click "M.Sc. (Computer Science)" for format and syllabus of the test.
