M.Tech. Computer Science and Engineering
The M.Tech in Computer Science and Engineering at RV University is a full-time program. The program provides students with a strong foundation in computer science and its real-world applications, preparing them for dynamic careers in the ever-evolving tech industry.
The curriculum focuses on core, electives courses and open elective courses from other schools at RVU on par with industry requirements. The curriculum emphasizes practical learning through internships and project-based assignments, fostering hands-on expertise. Students are encouraged to engage in interdisciplinary R&D, consultancy projects, gaining practical experience with modern engineering tools aligned with their coursework.
We follow a unique approach to teaching and learning focused on imparting 21st Century Skills to the students. It incorporates cutting-edge teaching methodologies such as flipped learning, mastery learning, and peer learning, all supported by advanced facilities.
The program is led by distinguished faculty with extensive industry experience and academic credentials from premier institutions in India and abroad. Students also benefit from a vibrant campus life, enriched by dynamic student clubs and diverse extracurricular activities, making their academic journey truly memorable.
Why M.Tech Computer Science and Engineering at RVU?
World-class education at an affordable cost
A unique ecosystem blending research and practical learning through internships, consultancy, and R&D projects
Opportunities for international exchange programs and global collaborations
Industry-led courses to enhance real-world expertise
Flexible open electives from the School of Liberal Arts and Sciences and the School of Design at RVU
M.Tech Programme Structure – 2026
Semester – 1
- Mathematics for Computer science
- Advanced Data Structures and algorithms
- Advanced Database Management system
- Advanced Machine learning/ ML for Data Science
- Natural language processing/ Principles of Data Analytics and Visualization
Semester – 2
- High performance computer architecture
- Advanced Operating Systems
- Research Methodology
- Deep learning/ Statistical Methods for Data Science
- Computer vision/ Predictive and prescriptive analysis
- MLOps/ Data Privacy, Security and Ethics
Semester – 3
- Cloud and distributed computing
- Network Engineering
- Cyber Security
- Generative AI and large language models/ Time series analysis
- Agentic AI/ Big data tools and techniques
- Internship
- Major project phase 1
Semester – 4
- Seminar
- Major project phase 2
Syllabus
Check out the syllabus for the Semester I and Semester II for the M.Tech. programme under School of Computer Science Engineering.
Career Options
M.Tech in Computer Science unlocks diverse career opportunities across global markets. with strong analytical abilities and advanced programming skills, students can leverage innovative techniques and logical thinking to tackle complex challenges and deliver practical solutions.
Potential career paths include:
Software Engineer/Developer
Full Stack Developer
Product Engineer
Data Scientist
Data Analyst
Research Scientist
Network Engineer
Eligibility & Selection Criteria
| Programme | National Eligibility test / State Eligibility test if any | Eligibility | Selection Process |
|---|---|---|---|
| M. Tech | PGCET | Applicants must have secured a minimum of 55% marks in B.E./B.Tech in any of the following disciplines:
Telecommunication |
|
Academics
Admissions
Faculty
Enquire