5 Year Integrated M.Tech CSE

WHY Computer Science Engineering?

Software engineers are the architects of tomorrow. They have been leading the world through multiple thresholds of technological revolutions simultaneously.

The essential attribute of a software engineer is the ability to comprehend and compute fast, which is why MU ensures that along with the latest developments in the industry, students are also taught how to learn new skills fast. The core courses prepare students for an agile industry and include 11 departmental courses, which covers basic and advanced levels of Algorithm, Data Structures, Database Management systems, Machine Learning, Cryptography, etc.

Program

Educational
Objectives

  • Graduates will identify and solve the problems of tomorrow’s world and will push forward the frontiers of computer science.
  • Graduates will come up with indigenous and original ideas and be capable of building technology products for simplifying and improving the quality of life.
  • Graduates will exhibit entrepreneurial traits and are capable of advancing their careers by upgrading their professional, communication, and analytic skills continuously.
Core Courses

Semester I

Code Course L T P Credits
1 MA 1101 Mathematics-1 (Calculus and ODE) 4 1 0 5
2 CH 1101/CH1103 Chemistry I+Lab 2 1 2 4
3 EE 1101 Intro to Electrical Engineering 2 1 2 2
4 EE1105 Electronics 2 1 2 2
5 CS 1101 Introduction to Computing 2 1 2 4
6 HS 1102 Media Project 1 0 2 1.5
7 HS1101 English 0 3 0 3
8 HS1104 Intro to entrepreneurship 0 0 3 1
9 HS1103 French-I 0 2 0 0.5
23

Semester II

Code Course L T P Credits
1 MA1202 Mathematics-2 (Linear Algebra Complex Analysis) 3 1 0 4
2 PH1202 Physics-I 2 1 2 4
3 BI1201 Biology 3 0 0 3
4 CS1201 Data Structures 3 1 2 5
5 CS1202 Discrete Mathematical Structures 2 0 0 2
6 ME1202 Workshop Practice 0 0 2 1
7 CE1101 Earth and Environmental Sciences 2 0 0 2
8 HS1201 Entrepreneurship practice 0 0 2 1
9 HS1202 Professional Ethics 0 1 0 1
10 HS1203 French-II 0 2 0 0.5
23.5

Semester III

Code Course L T P Credits
1 MA2103 Mathematics-3 (Prob and Statistics) 3 1 0 4
2 PH2102 Physics-II 3 1 2 5
3 CS2101 Optimization Techniques for AI 3 0 0 3
4 CS2102 Design and Analysis of Algorithms 3 0 2 4
5 EE2101 Signals and Systems 3 1 0 4
6 CS2104 Programming Workshop 0 0 2 0.5
7 HS2101 Lean Start-up 0 0 3 1
8 HS2102 Principle of Economics 3 0 0 1.5
9 HS2103 French-III 0 2 0 0.5
23.5

Semester IV

Code Course L T P Credits
1 MA2208 Mathematics-4 (Numerical Methods) 3 0 2 4
2 CS2201 Digital Logic Design and Computer Architecture 3 1 0 4
3 CS2202 Machine Learning 3 0 0 3
4 CS2102 Artificial Intelligence 3 0 0 3
5 CS2204 Theory of Computation 3 0 0 3
6 CS2205 Programming Workshop 0 0 2 0.5
7 HS2201 Design Thinking 1 0 2 2
8 HS2202 Financial accounting 3 0 0 1.5
9 HS2203 French 0 2 0 0.5
21.5

Semester V

Code Course L T P Credits
1 CS3101 Compiler Design 3 0 0 3
2 CS3102 Operating Systems 3 0 2 4
3 CS3103 Database Management Systems 3 0 2 4
4 CS3105 Object Oriented Programming 2 0 2 3
5 CS 3106 Microprocessors and interfacing 2 0 2 3
6 CS3107 Digital Image Processing 3 0 0 3
7 Liberal Arts Elective I 2 0 0 2
8 CS3104 Programming workshop 0 0 2 1
9 HS3102 French-V (Opt) 0 2 0 0.5
21.5

Semester VI

Code Course L T P Credits
1 CS3205 Computer Networks 3 0 2 4
2 CS3206 Software Engineering 2 0 2 3
 3 CS3223 Neural Networks and Deep Learning 3 0 0 3
4 Elective I 3 0 0 3
5 Elective II 3 0 0 3
6 HS 3201 Intro to Professional Development 2 0 0 2
7 Liberal Arts Elective II 2 0 0 2
8 HS3202 French (opt) 0 2 0 0.5
20.5

Semester VII

Code Course L T P Credits
1 CS4101 Distributed systems 3 0 2 4
2 CS4103 Cryptography and Network Security 3 0 0 3
3 CS4104 Computational Intelligence and Evolutionary Computing 3 0 0 3
4 CS5104 Mathematics for AI and Data Science 3 0 0 3
5 Elective III 3 0 0 3
6 Elective IV 3 0 0 3
7 Liberal Arts Elective III 2 0 0 2
8 HS4101 French – VII (opt) 0 2 0 0.5
21.5

Semester VIII

Code Course L T P Credits
1 CS5203 Natural Language Processing 3 0 0 3
2 CS5202 Computer Vision 3 0 0 3
3 CS5209 Advanced Algorithms 3 0 0 3
4 Elective V 3 0 0 3
5 Elective VI 3 0 0 3
6 Elective VII 3 0 0 3
18

Semester IX

Code Course L T P Credits
1 CS4121 Computational Sequence Modelling 3 0 0 3
2 CS4122 Reinforcement Learning 3 0 0 3
3 Elective VIII 3 0 0 3
4 Elective IX 3 0 0 3
5 CS5208 Dissertation 0 0 6 6
18

Semester X

Code Course L T P Credits
1 CS5301 Dissertation 0 0 18 18
18

*Electives with no prerequisite are considered to be as open electives, such as liberal arts elective. There may be open electives other than liberal arts electives.

List of Electives

CS3220 GPU Programming
CS3227 Introduction to Robotics
CS3225 Computational Biology
CS3226 Control Systems
CS3224 Recommender Systems
CS4106 Wireless Sensor Networks
CS4107 Computability and Complexity Theory
CS4108 Quantum Computing and Quantum Machine Learning
CS4157 Deep Learning
CS4110 High Performance Computing
CS3201 Big Data Analytics
CS4222 Social Computing
CS4221 Internet and Society
CS4223 Performance models of Computing related Systems
CS4224 Advanced Computer Networks
CS4225 Enterprise Software Architecture
CS4187 Game Theory
CS4189 Medical Image Analysis
CS4285 Foundations of Immersive Technology
CS4286 Foundations of Cybersecurity and Privacy
CS4122 Reinforcement Learning
CS4123 Computational Genomics
CS4104 AI in Industry 4.0
* More electives will be added time to time.