About Course

Global innovation operates at the forefront of artificial intelligence as this technology maintains an active role in transforming worldwide business operations. The current market demands AI professionals at an all-time high because artificial intelligence drives both domestic and international industries such as healthcare and finance and leads development through conferences like the Global AI Safety Summit. Through Raisoni's M.Tech in Artificial Intelligence program, you will find yourself in a leadership position for this emerging revolution. Through this program, students learn practical AI skills that unify deep learning with machine learning as well as automation for real-world purposes.

Your experience at Raisoni's program offers direct practical exposure to modern tools and advanced technologies while you build artificial intelligent systems and generate AI models. Your education at Raisoni embraces industry practical knowledge and includes research lab partnerships and worldwide trend insights, which enable you to construct AI’s future direction. This program provides you with the skills necessary to take leadership positions in an AI-run world, whether you want to work as a data scientist, AI engineer, or innovative professional in upcoming AI domains. Start your path toward tech leadership today by pursuing the M.Tech in AI program at Raisoni because organisations and governments across the world actively invest in artificial intelligence.

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Objectives of the Program

  • Master machine learning, deep learning, and AI-driven automation to build next-generation intelligent systems.
  • Work on cutting-edge AI projects, research labs, and industry collaborations to solve real business and societal challenges.
  • Encourage creative problem-solving and research in areas like NLP, robotics, and computer vision, driving breakthrough advancements.
  • Align with global AI ethics standards and responsible AI frameworks to create solutions that benefit humanity.

Study at Raisoni for a successful future & drive your career in the right direction with our M.Tech in AI Programs

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Key Details

Two-year (2) course with two semesters in a year.

ICT-enabled smart classrooms.

MoUs with various organisations.

Incubation centre for financial support in innovative projects and startups.

Future of AI Engineers

₹19,00,000/Year*

In India, professionals with 5+ years of experience earn varying salaries based on location, company, and individual knowledge.

20% Market Growth

According to a report by Allied Market Research, the global market is projected to grow at a CAGR of 20% by 2032.

2.5 Million Jobs

2.5 Million Job Opportunities worldwide for experienced professionals.

Eligibility

Admission Procedure

1. Notification of Admission:
  • Before the beginning of each admission cycle, the University will release a statement on admissions. This will be released to the public through the university website, bulletin boards, newspapers, and other media sources.
2. Application Process:
  • Be sure to deliver the application before the deadline mentioned in the notification. There are, however, instances where students are awaiting the results of their qualifying examinations, and hence, they can apply for provisional admission.
3. Provisional Admission:

All the candidates who will be waiting for their results will be given provisional admission. Before completing the application process, the candidate must also produce his/her mark sheet for previous years within the prescribed timeframe.

If you receive the provisional admission, you will have one month to submit further your final mark sheet. Providing false information or failing to produce the mark sheet within the stipulated time will lead to the cancellation of provisional admission.

1. Shortlisting and Notification:

A list of shortlisted candidates will be displayed on the university`s website and on the notice board after the application process is closed. The shortlisted candidates will also be communicated directly with their admission status.

2. Final Admission Confirmation:

As a final step to the admission process, provide all required paperwork and other charges as required by the respective institutions. If you successfully complete the submission of your application, you will be admitted an enrollment number by the University.

  • 1. Rejection of Application:
    • Applications will be rejected if:
      • The candidate does not meet the eligibility criteria set by the University.
      • The prescribed fee is not enclosed.
      • The application form lacks the required signatures of the candidate and their parents/guardians, if applicable.
      • Supporting documents are not submitted within the specified timeframe.
  • Rules and Regulations:
    • The specific guidelines for the admission process will be those provided by the University, and they may, from time to time, be changed by the University management.
Required Documents:

Original documents and FOUR sets of attested photocopies are required at the time of admission:

  • CAP Allotment Letter (for candidates allotted seats through CAP Rounds)
  • HSC Marksheet
  • SSC Marksheet
  • CAP Final Merit Number Document
  • Passing Certificate / Board Certificate of Std. 10th / SSC
  • Latest MHT-CET Score Card
  • Latest MHT-CET Score Card
  • Nationality Certificate
  • Domicile Certificate
  • HSC Leaving Certificate
  • Aadhar Card (Photocopy)
  • CAP Allotment Letter (for candidates allotted seats through CAP Rounds)
If Applicable Documents:
  • Caste Certificate with Category
  • Non-Creamy Layer Certificate (valid)
  • Migration Certificate (for boards other than M.S. Board / from RTMNU)
  • Eligibility Certificate (for other than M.S. Board; must be submitted within ten days from the date of admission)
  • Certificates in Proforma A, B, C, D, E, G, J, K, L, U & V, etc.
  • Income Certificate
  • Gap Certificate
  • Caste/Tribe Validity Certificate for SC/ST/OBC/VJ/DT-NT (A/B/C/D)/EWS Categories

Core Skills

Career Opportunities

Entry Level
  • AI Engineer
  • Machine Learning Engineer
  • Data Scientist
  • Computer Vision Engineer
Mid Level
  • Software Engineer
  • Data Scientist
  • Robotics Engineer
  • Project Engineer
  • Machine Learning Engineer
Senior Level
  • Senior Software Engineer
  • Lead Data Scientist
  • Senior Robotics Engineer
  • AI Solutions Architect
  • Engineering Manager

Future Studies

There are several postgraduate programs and degrees you can pursue after completing an M.Tech in AI, which are as follows:

Doctor of Philosophy (P.hD)
Master of Business Administration (MBA)
Certification Programs
Specialised Programs

Course Available at College

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FAQ

What is M.Tech in Artificial Intelligence?

M.Tech in AI is a postgraduate program focused on advanced machine learning, deep learning, and AI-driven automation to develop intelligent systems.

Graduates can work as AI Engineers, Data Scientists, Machine Learning Engineers, AI Researchers, and AI Product Managers in top tech companies and startups.

Yes, a basic understanding of programming, especially in Python, is recommended, but the course includes training in AI-related tools and technologies.

AI experts are in demand across industries, including healthcare, finance, automotive, cybersecurity, e-commerce, and robotics.

Yes, the curriculum includes real-world AI projects, industry collaborations, and research-based learning to ensure practical expertise.

Kimba

Applications of admission are now
open for academic year 2025-2026

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