B.Tech in Computer
Science Engineering

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 contribute to 40 credits. They cover basic and advanced levels of Algorithm, Data Structures, Database Management systems, Machine Learning, Cryptography, etc.

Academic exploration is also encouraged through our five elective courses (15 credits), either professional or open ones, which prepare for specialization in Network or Embedded System computing, HPC, Graphics and Computer Interfaces, Information Security or Data Mining and Image Processing.

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 1
Mathematics-I
Chemistry – I + lab
Introduction to Electrical Engineering
Electronics
Introduction to Computing
Introduction to Entrepreneurship
Media Project
English and Humanities – I
 French – I
Earth and Environmental Sciences
Semester 2
Mathematics – II
Physics – I
Biology
Data Structures
Discrete Mathematics
Workshop Practice
Entreprenurship practise
Professional Ethics
French – II
Semester 3
Mathematics – III
Physics – II
Optimization Techniques for AI
Signals & Systems
 Design and Analysis of Algorithms
Lean Start-up
Economics (7 Weeks)
French  – III
Programming Workshop
Semester 4
Mathematics – IV (Numerical Methods)
Digital Logic Design and Computer Architecture
Machine Learning with Python**
Artificial and Computational Intelligence
Theory of Computation
Design Thinking
Financial Accounting
French – IV
Programming Workshop
Semester 5
Design and Analysis of Algorithms
Operating Systems
Database Management Systems
Object Oriented Programming
Microprocessors and Interfacing
HSS + Mgmt. – Elective – I
French – V(Optional)
Programming Workshop
Semester 6
Big Data Analytics
High Performance Computing
Computer Networks
Software Engineering
Third year team project
AI Elective – I
Elective – I
HSS + Mgmt. – Elective – II
Intro to Prof Development & Employibility Skills
French – VI(Optional)
Semester 7
Distributed Systems
Compiler Design
Cryptography and Network Security
HSS + Mgmt. – Elective – III
Elective – II
Elective – III
Year-4 Project
French -VII(Optional)
Semester 8
Elective – IV
Elective – V
Year-4 Project
 French  – VIII(Optional)
Semester 8
Elective – IV
Elective – V
Year-4 Project
 French  – VIII(Optional)

Professor & Dean

Faculty

  • Dipti Mishra
    Assistant Professor

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  • Shabnam Samima
    Assistant Professor

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  • Mahesh Chowdary Kongara
    Assistant Professor

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  • Tauheed Ahmed
    Assistant Professor

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  • Arun Avinash Chauhan
    Assistant Professor

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  • Gourav Saha
    Assistant Professor

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  • Rahul Roy
    Assistant Professor

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  • Neeraj
    Assistant Professor

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