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M.Tech-Computer Science Engineering

“Transforming Learners into Tech Visionaries.”


Program Overview

The M.Tech. in Computer Science Engineering at RTU Bengaluru is a 2-year undergraduate program that provides students with a strong foundation in computer science principles, programming languages, algorithms, and software development methodologies.Our curriculum is designed in collaboration with industry experts to ensure that graduates are equipped with the latest skills and knowledge required in the rapidly evolving tech industry.

The program emphasizes both theoretical concepts and practical applications, with state-of-the-art laboratories, industry internships, and project-based learning to provide a holistic educational experience.The curriculumm of the program also allows students to opt for minor(24 Credits) offered by other colleges. Student may choose Business Analytics, Finance, General Management, Statistics etc. as minor.


Program Highlights

  • NEP alliend curriculum with focus on emerging technologies
  • Industry-aligned specializations in AI & Machine Learning, Data Science, Cloud Computing and Cyber Security
  • Project base learning and Two Capston projects
  • Dedicated Career Guidence cell
  • Mandatory Internship
  • Industry Approved Certification from Google, AWS and Microsoft
  • Modern infrastructure with advanced computing labs
  • Opportunities for research and innovation

Program Features

Explore the key features that make our Computer Science Engineering program stand out

Industry-Relevant Curriculum

Our curriculum is regularly updated with inputs from industry experts to ensure relevance to current technological trends and market demands.

Advanced Laboratories

Access to state-of-the-art computing labs, networking facilities, and specialized labs for AI, IoT, and cloud computing.

Expert Faculty

Learn from experienced faculty members with strong academic backgrounds and industry experience in various domains of computer science.

Internship Opportunities

Mandatory internships with leading tech companies to gain practical experience and industry exposure before graduation.

Project-Based Learning

Emphasis on hands-on projects throughout the program to develop problem-solving skills and practical knowledge.

Global Exposure

Opportunities for international exchange programs, global certifications, and participation in international competitions.

Faculty

Mr. Srinivas Mishra

Dr. Srinivas Mishra

Associate Professor & Head of Department

M.Tech (P.hD)

Specialization: Computer Science and Engineering

srinivas.mishra@raitechuniversity.in

+91 93483 61302

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Mr. Iranna Amargol

Mr. Iranna Amargol

Assistant Professor

M.Tech (P.hD)

Specialization: Computer Science and Engineering

iranna.amargol@raitechuniversity.in

+91 93801 99395

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Mr. Vishnu Priya

Mr. Vishnu Priya

Assistant professor

Master in Engineering

Specialization: Computer Science and Engineering

vishnu.priya@raitechuniversity.in

+91 80 2846 5002

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Mr.Colloge dekho

Sathyam

Assistant professor

M.Tech

Specialization: Computer Science and Engineering

sathyam@raiuniversity.edu

+91 7399 642 521

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Nayeem Akhtar Sholapur

Nayeem Akhtar Sholapur

Assistant professor

M.Tech

Specialization: Computer Science and Engineering

nayeem@raitechuniversity.in

+91 80 2846 5002

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Nayeem Akhtar Sholapur

Vijay Kumar

Assistant professor

M.Tech

Specialization: Computer Science and Engineering

vijay.k@raitechuniversity.in

+91 80 2846 5002

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Program Curriculum

Our comprehensive curriculum is designed to provide a strong foundation in computer science principles while keeping pace with emerging technologies

First Year Curriculum

Semester 1

  • Basic Mathemtics 1
  • Applied Physics
  • Fundamentals of Computer programming
  • Data Strcutures with C
  • Fundamentals of Statistics and Probability
  • Communicative English
  • Physics Lab
  • Fundamentals of Computer programming Lab
  • Data Strcutures with C

Semester 2

  • Basic Mathematics-II
  • Software Engineering & Project Management
  • Introduction to AI
  • Big Data & Data Engineering
  • Design Thinking & Innovation
  • Professional Writing Skills in English
  • Introduction to AI Lab
  • Big Data & Data Engineering Lab
  • User Interface Design Using React-JS

Second Year Curriculum

Semester 3

  • Machine Learning
  • Data visualization and storytelling
  • Design and Analysis of Algorithms
  • Operating System
  • Fundamental of environmental sciences
  • Universal Human Values
  • Machine Learning LAB
  • Data visualization and storytelling LAB
  • Design and Analysis of Algorithms LAB

Semester 4

  • Natural Language Processing
  • Cloud Computing
  • Data Communication and Computer Networks
  • Software Project Management
  • Discrete Mathematics and Statistics
  • Natural Language Processing Lab
  • Data Communication and Computer Networks Lab
  • Indian Constitution
  • Mini Project

Third Year Curriculum

Semester 5

  • Algorithms for Intelligent Systems and Robotics
  • Deep Learning
  • JAVA Programming
  • Advanced Python
  • Organizational Behaviour
  • Computer Organization and Architecture
  • Analytical Academic Writing
  • Advanced Python Lab
  • JAVA Programming Lab

Semester 6

  • Computer Vision
  • Personal Finance & Tax planning
  • Inferential Statistics
  • Mobile Application Development
  • R-Programming
  • NoSQL
  • Computer Vision Lab
  • Mobile Application Development
  • Industrial Internship

Fourth Year Curriculum

Semester 7

  • Big Data Analytics
  • Distributed Systems
  • Elective III: Deep Learning
  • Elective IV: Blockchain Technology
  • Project Phase I

Semester 8

  • Elective V: Natural Language Processing
  • Elective VI: Quantum Computing
  • Project Phase II
  • Seminar