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M.Tech in Computer Engineering

Program Overview

The M.Tech in Computer Engineering at Atharva University, Mumbai focuses on developing advanced technical expertise in cutting-edge areas of computing. This program is ideal for graduates seeking to gain specialized knowledge in fields like artificial intelligence, data science, cybersecurity, cloud computing, machine learning, and distributed systems. The curriculum integrates research-driven learning with intensive lab sessions, coding workshops, and real-world problem-solving. Students work on high-end computing systems, participate in research publications, and engage in industry collaborations that enhance their technical and professional growth.

Duration & Eligibility

Requirements and selection process for the M.Tech in Computer Engineering Mumbai | Atharva University

I LAB | ATHARVA UNIVERSITY, MUMBAI

Duration

2 Years (Full-time)

Eligibility

Minimum 50% aggregate marks in a 4- year graduation degree in the relevant Engineering branch* from a UGC approved institution/ university or its equivalent (Minimum 45% aggregate marks for candidates belonging to the Reserved Category

Selection Process

A valid score in GATE score (2026/ 2025/ 2024), PERA-CET 2026 or Atharva University All India Entrance Test + Personal Interview

Program Highlights

Advanced coursework

in AI, ML, Data Mining, Cloud Systems and Cybersecurity

Access to

state-of-the-art computing labs and research facilities

Dissertation and research project

under the guidance of industry and academic mentors

 

Exposure to

emerging technologies, algorithms and optimization methods

Opportunities to

publish research papers and participate in conferences

Internships

with IT firms, research labs and technology startups

Career Support & Opportunities

Graduates can work as AI/ML engineers, data scientists, software architects, cybersecurity analysts, cloud engineers, system designers, or research engineers.  Many students pursue Ph.D. programs or research-oriented careers.

Program Outcomes

  • Advanced technical knowledge and research capability

  • Proficiency in software development and computational problem-solving

  • Ability to design intelligent, secure, and scalable computing systems

  • Strong analytical and algorithmic thinking

  • Preparedness for industry, academia, or research careers

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