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Lead the Tech Revolution - Begin with M.Tech. in Artificial Intelligence and Data Science

2 Years Full Time
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About Course

The 2-year M.Tech. in Artificial Intelligence and Data Science at GHRISTU is a specialized postgraduate program designed to build deep analytical and mathematical competencies while focusing on the algorithms and systems that power intelligent automation and decision-making. The curriculum empowers students to extract insights from massive datasets and build advanced AI models that solve complex real-world problems.

The program provides a rigorous blend of statistical foundations, machine learning theory, and scalable data engineering. Students gain specialized expertise in areas such as Deep Learning, Natural Language Processing, Computer Vision, Big Data Analytics, and Reinforcement Learning. They also explore emerging fields like Generative AI, MLOps, and Ethical AI Governance, preparing them for leadership roles in the data-driven economy.

A standout feature of the M.Tech. AI & DS program is its emphasis on research and application through thesis projects, industry-sponsored case studies, access to high-end GPU computing clusters, and mandatory internships with leading analytics firms and AI product companies. This approach ensures that graduates are not only academically sound but also industry-ready to architect and deploy scalable AI solutions.

Graduates of M.Tech. (AI & DS) at GHRISTU are well-prepared for roles such as AI Research Scientist, Machine Learning Engineer, Data Science Manager, NLP Specialist, Computer Vision Engineer, and Big Data Architect. They are sought after in sectors like finance, healthcare, retail, autonomous systems, and global technology consulting.

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Objectives of the Program

  • Build advanced expertise in machine learning algorithms, deep neural networks, and statistical modeling.
  • Develop proficiency in managing, processing, and analyzing large-scale structured and unstructured data.
  • Enable students to design end-to-end AI pipelines from data ingestion to model deployment and monitoring (MLOps).
  • Enhance analytical thinking, research acumen, and effective communication skills for data storytelling and stakeholder management.

Study at GHRISTU Pune for a successful future & drive your career in the right direction with our M.Tech. in Artificial Intelligence and Data Science Program.

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Key Details

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

ICT-enabled smart classrooms dedicated AI Compute Lab (GPU Servers). .

Incubation centre for financial support in AI-first and Data-driven startups.

Labs with high-end workstations and access to cloud-based AI/ML platforms.

Center of Excellence AI Research and High-Performance Data Analytics.

Future of AI and Data Science Professionals

₹22,00,000/Year

In India, M.Tech. AI & DS professionals with 5+ years of experience and deep learning expertise command top-tier salaries based on impact and specialization.

45% Market Growth

According to industry analytics reports, the demand for AI specialists and Data Science leaders is projected to skyrocket across all major industries globally.

8 Million+ Jobs

Worldwide job opportunities for advanced AI researchers, machine learning engineers, and data science leaders in the next five years.

Eligibility

To apply for the M.Tech. in Artificial Intelligence and Data Science at GHRISTU, you must meet the following criteria:

Educational Qualification: Completed B.E. / B.Tech. or equivalent in Computer Science / Information Technology / Electronics or allied branches.

Minimum Marks Required:

Admission Procedure

Getting into GHRISTU's M.Tech. Computer Engineering is a structured yet seamless process. Here's how it works:

Step 1: Admission Notification
  • The University announces the admission cycle on its website, notice boards, newspapers, and other public platforms.
  • Stay updated to ensure you don't miss key dates.
Step 2: Application Submission
  • Fill out the application form with accurate details.
  • Attach all required documents.
Step 3: Shortlisting & Selection
  • Admission is based on valid GATE scores (preferred) or performance in the University's entrance examination and personal interview.
  • A shortlisted candidates list is published on the University website and notice boards.
Step 4: Provisional Admission (If Awaiting Results)
  • You can apply even if your Class 12 results are pending.
  • If shortlisted, you will receive provisional admission, but you must:
    • You can apply even if your B.E./B.Tech. results are pending.
    • If shortlisted, you will receive provisional admission, but you must provide your final degree mark sheet within the stipulated timeframe.
    • Failure to submit the final mark sheet on time will result in cancellation of provisional admission.
  • Failure to submit the final mark sheet on time will result in cancellation of provisional admission.
Step 5: Application Rejection Scenarios

Your application may be rejected if:

  • You fail to meet the eligibility criteria.
  • The prescribed fee is not paid.
  • The form is incomplete, including missing signatures (candidate/parent/guardian).
  • Required documents are not submitted on time.
Step 6: Enrollment Confirmation
  • Once all documents and fees are submitted, you will be assigned a University enrollment number, officially marking the start of your journey at GHRISTU.
Original documents and FOUR sets of attested photocopies are required at the time of admission:
  • GATE Score Card (if applicable)
  • B.E. / B.Tech. All Semester Mark sheets and Degree Certificate
  • HSC Marksheet
  • SSC Marksheet
  • Nationality Certificate
  • Domicile Certificate
  • College Leaving / Transfer Certificate
  • Aadhar Card (Photocopy)
If Applicable:
  • Caste Certificate with Category
  • Non-Creamy Layer Certificate (valid)
  • Migration Certificate (for universities other than parent university)
  • Eligibility Certificate
  • Income Certificate
  • Gap Certificate / Experience Certificate

Core Skills

  • Advanced Machine Learning & Deep Learning (TensorFlow/PyTorch)
  • Big Data Technologies (Spark, Hadoop Ecosystem)
  • Statistical Analysis & Mathematical Optimization
  • Natural Language Processing & Computer Vision
  • Data Visualization & Storytelling (Tableau, Power BI)
  • MLOps and Model Deployment (Docker, Kubernetes)

Career Opportunities

Entry Level
  • Machine Learning Engineer
  • Data Scientist (Advanced Analytics)
  • AI Research Associate
  • NLP / Computer Vision Specialist
Mid Level
  • Senior Data Scientist
  • Lead AI/ML Engineer
  • Data Science Manager
  • Director of AI Research
Senior Level
  • Chief Data Scientist
  • Head of AI Innovation
  • Principal AI Architect
  • VP of Data and Analytics

Future Studies

Several advanced programs and pathways you can pursue after completing an M.Tech. in Artificial Intelligence and Data Science:

Doctor of Philosophy (Ph.D.) in Artificial Intelligence / Machine Learning / Data Science

Post-Doctoral Research Fellowship in specialized AI domains (GenAI, Reinforcement Learning)

Executive Management Programs (ePGP/MBA) for AI Product Management

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FAQ

What are the skills required to study for an M.Tech. in AI & DS?

To pursue an M.Tech. in AI & DS, you should have strong programming skills (Python preferred), a solid foundation in probability, linear algebra, and statistics, and a passion for solving open-ended problems using data.

Graduates can work as AI Research Scientists, Machine Learning Engineers, Senior Data Scientists, NLP Engineers, and Computer Vision Specialists at top-tier tech firms, research labs, and AI-first startups.

Yes. It is currently one of the most lucrative and high-demand specializations. An M.Tech. differentiates you from general B.Tech. graduates and positions you for core R&D and specialized technical leadership roles.

Starting salary ranges from ₹12,00,000 to ₹30,00,000 per year depending on the GATE score, institute, and specific skill set in deep learning or NLP.

With experience, you can grow into roles like Chief Data Scientist, Head of AI, Principal Research Scientist, or AI Ethics Officer, shaping the strategic direction of data and intelligence in major organizations.

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Applications of admission are now
open for academic year 2026-2027

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Current Opening