About Course

The 3-year Diploma in Artificial Intelligence and Data Science at Raisoni is a high-velocity program engineered to turn tech enthusiasts into architects of the digital revolution. It offers a specialized pathway for students to master the mechanics of machine learning, predictive analytics, and the global data economy. The program empowers learners to build, deploy, and scale intelligent systems that solve real-world complexities through a blend of algorithmic rigor and creative problem-solving.

The curriculum seamlessly integrates foundational computing with specialized tracks in Neural Networks, Natural Language Processing (NLP), and Big Data Analytics. Students dive deep into advanced territories such as Deep Learning, Computer Vision, and AI Ethics. Beyond the code, they learn to master high-stakes data visualization, statistical modeling, and the deployment of AI models across cloud platforms tools that are currently reshaping the global industrial landscape.

A hallmark of the program is its commitment to Applied Intelligence. Through hands-on coding bootcamps, mandatory industry internships in tech hubs, and direct involvement in developing automated solutions for institutional challenges, students move beyond theory. This practical approach ensures that graduates possess both the mathematical foundation and the programming fluency required to manage everything from autonomous bot development to large-scale data warehousing.

Graduates of the Diploma in AI and Data Science at Raisoni are prepared to launch high-impact careers as AI Technicians, Data Analysts, Machine Learning Associates, and Junior Data Engineers. With a credential that balances technical depth and industry application, they are highly sought after in sectors ranging from Fintech and Healthcare to Cybersecurity and Autonomous Manufacturing.

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Objectives of the Program

  • Establish a robust foundation in computational mathematics, programming logic (Python/R), and data structure principles.
  • Gain adequate knowledge of modern AI frameworks, including TensorFlow, PyTorch, and cloud-based data processing.
  • Provide students with opportunities to apply predictive modeling, data mining, and real-world automation practices through live project simulations.
  • Develop analytical and critical-thinking skills to navigate complex datasets while fostering ethical awareness and security-first development mindsets.

Master the code of tomorrow at Raisoni and lead the global shift toward intelligent automation with our specialized Diploma in AI and Data Science.

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Key Details

Three-Year (3) specialized diploma course

AI & Robotics Simulation Labs

Real-world Dataset Access

Industry-Integrated Curriculum

Incubation & Start-up Support

ICT-Enabled Smart Classrooms

Tech Partnerships with Global Software Leaders

FUTURE OF AI and Data Science

₹6,50,000/Year*

In India, AI and Data Science professionals with specialized certifications and 3+ years of experience earn highly competitive salaries that scale exponentially as they transition into senior engineering roles.

31.4% Market Growth

The global AI market is projected to grow at a CAGR of over 30% through 2030, driven by the mass adoption of Generative AI, LLMs, and autonomous systems.

2 Million Jobs

Over 2 million job vacancies are emerging globally for specialists in roles such as Prompt Engineers, Data Privacy Consultants, and AI Quality Assurance Analysts.

Eligibility

Educational Qualification: Completed Class 10 (SSC) or equivalent from a recognized board. Candidates awaiting their final results are also eligible to apply on a provisional basis.

Required Subjects: Strong aptitude in Mathematics and Science is highly recommended, as the course involves intensive logic and statistical training.

Minimum Marks Required: General Category: 45% aggregate in Class 10. Reserved Category: 40% aggregate in Class 10.

Admission Procedure

Getting into the Diploma in AI and Data Science & Machine Learning is a structured yet seamless process. Here's how it works:

Step 1: Admission Notification
  • The University/Institute announces the admission cycle on its official website, notice boards, and through Directorate of Technical Education (DTE) portals. Stay updated with the Centralized Admission Process (CAP) dates to ensure you don't miss key deadlines.
Step 2: Application Submission
  • Fill out the application form with accurate details.
  • Attach all required documents.
Step 3: Shortlisting & Selection
  • After the application deadline, a merit list is published based on Class 10 (SSC) scores or entrance criteria. Candidates are notified via the University website or direct communication regarding their allotment.
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:
  • Submit your previous year's mark sheet as proof of eligibility.
  • Provide your final Class 12 mark sheet within one month of admission approval.
  • 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.

Step 7: MANDATORY DOCUMENTS REQUIRED

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

  • 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
  • MHT-CET 2023 Score Card
  • JEE (Main) 2023 Score Card
  • Nationality Certificate
  • Domicile Certificate
  • HSC Leaving Certificate
  • Aadhar Card (Photocopy)
  • applicable: 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

Core Skills

  • Machine Learning & Deep Learning
  • Python & R Programming
  • Statistical Data Analysis
  • Database Management (SQL/NoSQL)
  • Natural Language Processing (NLP)
  • Cloud Computing & Deployment
  • Data Visualization (Tableau/Power BI)
  • AI Ethics & Cybersecurity

Career Opportunities

Entry Level
  • Data Analyst Trainee
  • Junior Python Developer
  • AI Operations Associate
  • Junior Data Engineer
Mid Level
  • Machine Learning Engineer
  • Data Scientist
  • Business Intelligence Manager
  • Automation Specialist
Senior Level
  • AI Solutions Architect
  • Head of Analytics
  • Research Scientist
  • CTO / AI Start-up Founder
Top Recruiters

FAQ

Do I need to be a coding expert to join?

No. While a logical mindset helps, our program starts with the fundamentals of programming. We build your skills from the ground up, moving from basic syntax to complex neural networks.

Our focus is "Data to Action". We don't just teach you how to write code; we teach you how to use that code to find patterns, make predictions, and build systems that can "think" and "learn."

This is currently the most high-demand field globally. From Netflix recommendations to self-driving cars and medical diagnostics, AI is everywhere. Our industry-integrated curriculum ensures you are learning the tools that companies are actually using today.

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

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