The Department of Computer Science and Engineering was established in the University in 2010. The department offers degree programs at doctoral, masters and bachelor levels. The two-year MCA program is designed to equip students with advanced knowledge in software development, system design, and IT solutions. It covers key areas such as programming, data structures, cloud computing, artificial intelligence, and database management. The program blends theoretical insights with practical exposure through industry collaborations, research projects, and internships. Graduates of the MCA program are well-prepared for careers in software engineering, data analytics, cybersecurity, and emerging computing domains. The curriculum emphasizes innovation and real-world problem-solving, enabling students to contribute effectively to the rapidly growing IT industry.

Specialization Options: Students admitted into any of the Masters programs will be provided the option to follow the general track or to opt to have specialization either in AI & ML or in Advanced Networks & Systems) before the beginning of the first semester

Two-Year Programme

A candidate must have passed a 3 or 4 year Bachelor's degree with Mathematics as a subject either at the Bachelor’s level or at the 10+2 (12th class) level from a recognized institution or an examination recognized by the University as its equivalent with a minimum of 55% marks (or an equivalent grade).

Note: Vacant seats in one category will be transferred to another category.

• The duration of the Entrance Test will be 2 hours.
• The question paper will consist of 70 multiple choice questions.
• There will be no negative marking.
• Calculators will not be allowed. However, Log Tables may be used.

• Set Theory and Algebra: Sets, Relations, Functions, Groups, Partial Orders, Lattice, Boolean Algebra.
• Combinatorics: Permutations, Combinations, Counting, Summation, Binomial Theorem, Exponential Series.
• Matrix: Basic Concepts, Types of Matrices, Determinants, Transpose, Inverse and Rank of a Matrix, Matrix Algebra, Systems of Linear Equations.
• Calculus: Limit, Continuity and Differentiability, Mean Value Theorems, Theorems of Integral Calculus, Evaluation of Definite and Improper Integrals, Partial Derivatives, Total Derivatives, Maxima and Minima.
• Ordinary Differential Equations: First Order First Degree Equations, Variable Separable Method, Homogeneous Equations, Exact Equations, Integrating Factors, Linear Equations.
• Vector Analysis: Addition, Subtraction, Dot Product and Cross Products of Vectors.
• Programming in C: Elements of C, Identifiers, Data Types, Control Structures, Array, Structure, Union, Strings, Pointers, Functions, Parameter Passing to Functions, Recursion, File Handling.
• Data Structures & Algorithms: Elementary Concepts of List, Stack, Queue, Tree and Graph, Space and Time Complexity Analysis, Sorting Techniques: Bubble Sort, Insertion Sort, Selection Sort, Merge Sort, Quick Sort, etc., Searching Techniques: Linear and Binary Search.
• Database Management System: Basic Concepts, Attributes, Entity and Relationships, ER Diagram, Database Decomposition and Normalization, Database Constraints, Relational Algebra, SQL.
• Digital Logic and Computer Architecture: Number System, Data Representation, Compliments, Computer Arithmetic, Logic Gates, Combinational and Sequential Circuits, Computer Organization, Instruction Formats and Addressing Modes, Memory Organization and I/O Interfaces.
• Computer Networks: Introduction to computer networks, transmission media, transmission modes, network types: LAN, MAN, and WAN, network topologies, basic concept of MAC and IP Address, reference models: OSI & TCP/IP.
• Operating System (OS): Overview of OS, functionalities and characteristics of OS, process and process states, threads, CPU scheduling and algorithms, memory management, memory allocation strategies, virtual memory concepts, paging and segmentation.

For a sample test paper, click here.