M.Tech programs in data Science | RV University

M.Tech. Computer Science and Engineering

School of Computer Science and Engineering

Programme Overview

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

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.

  • Software Engineer/Developer
  • Data Scientist
  • Full Stack Developer
  • Product Engineer
  • Data Analyst
  • Research Scientist
  • Network Engineer

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