Does MIT, Manipal require an entrance exam for admission to M.Tech in Computer Science and Engineering?

Yes, candidates must qualify for the Manipal Entrance Test (MET) and GATE-qualified candidates are given preference.

What are the eligibility criteria for admission to M.Tech Computer Science Engineering?

Candidates must have a B.E./B.Tech in a relevant field with a minimum of 50% aggregate marks.

What is the duration of the M.Tech in Computer Science and Engineering programme?

It is a full-time, two-year programme consisting of four semesters.

What specialisations or electives are available in this programme?

Students can choose electives like Advanced Machine Learning, Artificial Intelligence, Blockchain and Big Data Analytics, among others.

What kind of job opportunities can graduates expect?

Graduates can work as software engineers, data scientists, ML engineers, cybersecurity specialists, and cloud architects, among others.

Which companies recruit M.Tech Computer Science and Engineering graduates?

Companies like Amazon, Microsoft, IBM, Accenture, and Deloitte hire graduates from MIT, Manipal.

Does the programme offer research opportunities?

Yes, students can work on research in AI, cybersecurity, big data, and blockchain with faculty guidance.

How to apply for M.Tech in Computer Science and Engineering programme?

Applicants can be submitted online through the MIT, Manipal admission portal.

M. Tech CSE (Computer Science & Engineering)

M. Tech Computer Science & Engineering - Overview

M. Tech in CSE offered by the Computer Science and Engineering Department provides a platform for the graduate students to strengthen their foundations in Computer Science and gather a diversified exposure to the latest know-how in technology. The two-year full-time post-graduate program is learner-centric, industry-oriented, and research-driven. Thus, providing a great educational choice for engineers who want to upskill for a career boost in industry or step ahead for a career in research.

The curriculum emphasizes core courses in Computer Science along with advanced concepts in Computer Networks, Data Structures and Algorithms, Database Systems, Machine Learning, and High-Performance Computing Systems. The focus is on imparting ground knowledge in the course as well as teaching how to apply different Computational and Stochastic methods in a real-world scenario. Equipped with a course dedicated to Research Methodology and Technical Communication, students can delve into the world of finding solutions to real-world problems and get a hold on writing research articles. The Computing Lab facility is made available for students to implement computational solutions. The curriculum also caters to emerging technologies like Data Science, Computer Vision, and Image Processing, Natural Language Processing, Web services, Deep Learning, and Quantum Computing. Thus, the students get exposure to varied electives to select from and explore deeper in their area of interest.