M.Tech - Computer Science & Engineering

M.Tech - Computer Science & Engineering

Degree in Association with

NA

Duration

2 Years

Fees

60000

Fees

INR 60000/Year

Options for Major

Artificial Intelligence and Machine Learning

Total Industry Certifications

NA

No. of Minors

NA

Degree in Association with

JIFSA - St. Joseph's International Fire & Safety Academy

Duration

2 Years

For More Details About The Course Contact Us - 9407939795

Degree in Association with

Touch Campus

Duration

2 Years

For More Details About The Course Contact Us - 9345956006

M.Tech - Computer Science & Engineering

Degree in Association with

NA

Duration

2 Years

Options for Major

Artificial Intelligence and Machine Learning

Fees

INR 60000/Year

Total Industry Certifications

NA

No. of Minors

NA

Degree in Association with

JIFSA - St. Joseph's International Fire & Safety Academy

Duration

2 Years

For More Details About The Course Contact Us - 9407939795 Email Id: wp.adms@rungta.org

Degree in Association with

Touch Campus

Duration

For More Details About The Course Contact Us - 9345956006
Email Id: wp.adms@rungta.org

Program Description

M.Tech – Computer Science & Engineering
Offered by the School of Computer Science and Engineering, Rungta University

With rapid technological advancements reshaping every sector—from automation and AI to cybersecurity and data science—there is a growing need for high-level computer science professionals with research-oriented and specialized expertise. To meet this demand, Rungta University offers a rigorous and future-focused two-year M.Tech. Program in Computer Science and Engineering (CSE).

This postgraduate program is designed for graduates seeking advanced knowledge and deep specialization in core areas of computer science. It equips students with the tools to innovate, lead R&D initiatives, and develop breakthrough solutions for modern technological challenges.

Program Highlights

The M.Tech. CSE program emphasises both theoretical foundations and practical applications, covering:

  • Advanced Algorithms and Data Structures
  • Artificial Intelligence & Machine Learning
  • Distributed Systems and Cloud Technologies
  • Cybersecurity & Blockchain
  • Big Data Analytics & Deep Learning
  • Software Architecture & DevOps
  • Research Methodologies and Innovation Frameworks

Students will work on cutting-edge research projects, develop publishable work, and engage in industry-driven assignments that mirror real-world challenges.

Specialization Tracks

Students may opt for advanced specialisation in one of the following tracks:

  • Artificial Intelligence & Machine Learning
  • Data Science & Big Data Analytics
  • Cybersecurity & Blockchain Technologies
  • Cloud Computing & DevOps
  • Full Stack Engineering (with Research Focus)

Certification programs, guided research, and domain-specific labs support each track.

Facilities & Infrastructure

  • AI, IoT, and Cybersecurity Labs with dedicated faculty mentorship
  • Cloud-enabled Supercomputing and High-Performance Computing Labs
  • Access to Research Journals, Digital Library, and Online Databases
  • Dedicated R&D Center and Innovation Labs
  • Collaborative spaces for thesis and dissertation work

Global Certifications

Students earn 15+ global certifications from top tech leaders like IBM, Microsoft, Google Cloud, AWS, NVIDIA, Meta, and institutions such as Stanford and Cambridge.

Career & Placement Support

  • Specialised training for research roles, academic positions, and industry leadership
  • Placement opportunities with top tech firms and R&D organisations
  • Research funding and support for publishing papers and attending conferences
  • Highest packages in research roles go beyond ₹20 LPA
  • Personalised career counselling and guidance

Scholarships & Financial Aid
• RU provides scholarships and financial aid for the wards of defense personnel, Freedom Fighters, disabled students, sports students, and siblings of Rungta students. There are also opportunities for alumni, staff, and their families, along with merit-based scholarships and general financial aid for eligible students.

Course

Industry-Integrated Curriculum with Research Depth
Designed for advanced specialisation and innovation, the M.Tech CSE curriculum focuses on:
• Advanced Algorithms & Computational Complexity
• Artificial Intelligence, Machine Learning & Deep Learning
• Data Science, Big Data Analytics & Advanced Database Systems
• Distributed Systems, Cloud-Native Architectures & Edge Computing
• Advanced Cybersecurity, Cryptography & Digital Forensics
• Natural Language Processing & Computer Vision
• Research Methodology, Technical Writing & Thesis Development
• High-Performance Computing and Scalable System Design

Advanced Computing Infrastructure & Digital Ecosystem
• High-performance computing and GPU-enabled research labs
• Dedicated AI, Data Science, and Cybersecurity research laboratories
• Cloud-enabled development environments and virtualised research platforms
• Access to licensed tools, open-source frameworks, and advanced simulation software
• 24/7 access to global MOOCs, digital repositories, research databases, and e-learning ecosystems

Research Mentorship & Academic Excellence
• Guidance from Ph.D.-qualified faculty with international academic and industry exposure
• Structured thesis supervision and interdisciplinary research collaboration
• Opportunities to publish in SCI/SCOPUS-indexed journals and reputed conferences
• Participation in national and international research symposiums, workshops, and tech fests
• Support for pursuing doctoral research, fellowships, and academic careers

Innovation, Funded Projects & Intellectual Property Development
• Opportunity to work on funded research projects and government-sponsored initiatives
• Participation in patent filing, product prototyping, and technology transfer
• Collaboration with industry R&D teams on real-world problem statements
• Access to incubation support for research-driven startups and deep-tech ventures

Career Advancement & Leadership Opportunities
• Career pathways in advanced R&D roles, AI/ML engineering, data science, and system architecture
• Opportunities in product-based companies, global technology firms, research labs, and academia
• Advanced technical skill enhancement in modern frameworks, tools, and cloud platforms
• Strong career guidance, interview preparation, and industry interaction sessions

Eligibility Criteria

Qualifying Exam Entrance Exam
B.E. / B.TECH. or MCA / M.Sc. (CS/IT/ELEX/AI) with 50% for General Category (45% for Reserve Category) For General Category – GATE / REST
For Sponsor Category – GATE: Not Required. Work Experience: 02 Years

 

Note :

Rungta Eligibility & Scholarship Test (REST)

The Rungta Eligibility & Scholarship Test (REST) conducted by Rungta International Skills University offers students an opportunity to secure admission and earn merit-based scholarships. The test evaluates candidates on aptitude and academic potential, helping deserving students access quality education with financial support.

 

Admission Procedure

  • Visit the Website
  • Choose the M.Tech – Computer Science & Engineering Program
  • Online Registration
  • Upload Documents
  • Application Fee Payment
  • Submit Application Form
  • Admission Test/Entrance Exam
  • Appear for Interviews or Counseling
  • Check Admission Status
  • Acceptance of Offer
  • Payment of Tuition Fees
  • Orientation and Registration

Placement

Semester wise Scheme

M.Tech – Computer Science & Engineering
Semester Subject Type Theory Tutorial Practical Credit
Semester 1
1 Advance Computer Organization and Architecture Core 2 1 0 3
1 Advance Operating System Core 2 1 2 4
1 Artificial Intelligence and Introduction to Machine Learning Core 2 1 0 3
1 Python Programming With Problem Solving Core 2 1 2 4
1 Computational Maths – 1 Core 2 1 0 3
1 Career Development Center Course – 1 AEC – CDC 3 0 0 3
1 Communication Proficiency – 1 SEC – CP 3 0 0 3
1 New Age Life Skills – IT Skills VAC – LS 1 0 2 2
Semester 2
2 Data Structure and Algorithms Core 2 1 2 4
2 Computational Maths – 2 Core 2 1 0 3
2 Foundations of Machine Learning Core 3 1 0 4
2 Natural Language Processing Core 3 1 0 4
2 Deep Learning with TensorFlow/PyTorch Core 3 1 0 4
2 Career Development Center Course – 2 AEC – CDC 3 0 0 3
2 Communication Proficiency – 2 SEC – CP 3 0 0 3
2 New Age Life Skills – Career Options and Student Basic Traits VAC – LS 1 0 2 2
2 Indian Knowledge System – 1 IKS 2 0 0 2
Semester 3
3 Advance Computer Networks Core 2 1 2 4
3 Advance Database and Management System Core 2 1 2 4
3 Computer Vision & Image Processing Core 3 1 0 4
3 Reinforcement Learning Core 3 1 0 4
3 Generative AI & Foundation Models Core 3 1 0 4
3 Career Development Center Course – 3 AEC – CDC 3 0 0 3
3 Communication Proficiency – 3 SEC – CP 3 0 0 3
3 New Age Life Skills – Research Mindset VAC – LS 1 0 2 2
3 Indian Knowledge System – 2 IKS 2 0 0 2
Semester 4
4 Internship / Major project / R&D Project / Startup Project Proj 12 0 0 12

List of Minors
School Of Life Sciences Bio Technology
Forensic Sciences
School Of Management & Commerce Business Administration
Finance
Economics
Marketing
Entrepreneurship
Accounting With Tally
Indian Taxation
International Business
School Of IT Digital Marketing
School Of Pharmacy Pharmacy
Pharmaceutical Marketing Management
Cosmetic Technology

  • CP Indicates Communication Proficiency Program Offered in Association with Cambridge English
  • CDC Indicates Career Development Program aimed at Enhancing student Employability and Aptitude.
  • LS Indicates Life Skills Program designed to develop essential Skiils required in frontiers of Life
  • PS indicates Professional Skills Program designed to develop essential Skills for Personal & Professional growth
  • NC Indicates Courses which has no Credit but are required sessentialy to be completed anytime before completion of Course
  • AEC Indicates Ability Enhancement Courses
  • VAC Indicates Value Added Courses
  • SEC Indicates Skill Enhancement Courses