M.Tech Computer Science and Engineering (Artificial Intelligence and Machine Learning)

School of Engineering and Technology

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Program Outline

M.Tech (Integrated) at MGM University program is full time Five Years / Ten semesters program with ample of opportunity after 12th passed. This Program helps to those students who are interested in engineering field after passing HSC. In this program students can complete his / her degree and post-graduation together within a five year span. This is the best option for 12th passed students those are interested in engineering with post-graduation. Most of the students interested for post-graduation after graduation with the tenure of six years, but in this program students will get post-graduation degree within five years. This program can inculcate technical knowledge and skills through curriculum which is designed as per industry.


M.Tech (Integrated) Computer Science and Engineering (Artificial Intelligence and Machine Learning), Intake – 30

Core Competencies

Duration: Five Years, Full-Time Program
Pattern: Semester System
Credit System: Choice-based Credit Systems
Innovative Design Projects
Industry Oriented Internship with Live Projects
Study Tours which include visits to Industries, Industrial Exhibitions, Research Laboratories, Research Organizations as well as Institutes of National and International repute


  • First Year
    a) 12th Passed
    b) Min 45% for Open and Min 40% for Reserve Category
    c) Candidate should have appeared in JEE (Mains) / MGMU-CET / MHT-CET / PERA CET

Admission Procedure

  • As per the MGM University Norms and Procedures
  • Proficiency in English Language
  • Admissions on Merit Basis
  • Provisional Admissions Start from June, 2022


Computer Science and Engineering (Artificial Intelligence and Machine Learning): Data Scientist, Software Engineer, Hardware Engineer, Network Engineer, Information Security Analyst, Web Developer, IT Manager, Computer Research Scientist, App Developer, Project Engineer, Database Administrator, Data Analysis,  Digital Forensic, Digital Marketing etc.