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Computing and Emerging Technology

Artificial Intelligence and Machine Learning Admission Process

Programming, statistics, data preparation, machine learning algorithms, deep learning, NLP, computer vision, MLOps and responsible AI.

B.E./B.Tech, B.Sc./BS, BCA, M.E./M.Tech, M.Sc./MS, diploma, certificate and doctoral pathways

Follow course verification, application, entrance examination, counselling, document checks and final admission.

Artificial Intelligence and Machine Learning Admission Process

Step 1: Identify the exact programme

Students should determine whether the course is a standalone AI and ML degree or a CSE specialisation.

Step 2: Check eligibility

Verify compulsory subjects, minimum marks, accepted diplomas and entrance requirements.

Step 3: Register for the entrance examination

Depending on the college, students may apply for JEE Main, JEE Advanced, CUET, a state examination or a university test.

Step 4: Complete the college or counselling application

Candidates may need a separate application after the entrance examination.

Step 5: Fill preferences

Students choose programmes and colleges in order of preference.

Step 6: Participate in counselling

Seat allocation depends on rank, category, domicile, choices and availability.

Step 7: Attend an interview if required

Private universities and postgraduate programmes may conduct interviews or additional tests.

Step 8: Verify documents

Original academic and reservation documents are checked.

Step 9: Pay fees

Candidates confirm the seat by paying the prescribed amount.

Merit-Based Admission

Some institutions use Class 12 or undergraduate marks. Merit admission can involve:

  • online application;
  • merit-list publication;
  • counselling;
  • document verification; and
  • fee payment.

Direct admission should not be confused with guaranteed placement or programme quality.

Entrance-Based Admission

B.Tech admission may use:

  • JEE Main;
  • JEE Advanced;
  • CUET UG;
  • state engineering examinations;
  • university-level examinations; or
  • another accepted process.

M.Tech admission may use GATE, state postgraduate examinations or institutional selection.

Counselling Process

Candidates should carefully manage:

  • registration;
  • document upload;
  • choice filling;
  • choice locking;
  • seat allotment;
  • willingness submission;
  • fee payment;
  • physical reporting; and
  • withdrawal or upgradation options.

Missing a deadline can result in loss of the allotted seat.

Questions to Ask Before Taking Admission

  1. What exact degree title appears on the certificate?
  2. Is it AI and ML or CSE with AI and ML?
  3. Does the curriculum include core CSE subjects?
  4. How much Mathematics is included?
  5. Are faculty members specialised in ML?
  6. How many AI and ML students are admitted each year?
  7. Are GPU and cloud resources available?
  8. What practical projects are required?
  9. Is MLOps included?
  10. Is responsible AI included?
  11. Are internships compulsory?
  12. Which employers offered AI-specific roles?
  13. How many students entered general software roles?
  14. What is the complete fee?
  15. Are cloud, certification and examination costs additional?
  16. Can students select open electives?
  17. Are research opportunities available?
  18. What is the placement rate for the specific branch?
  19. What are the refund rules?
  20. Are industry partnerships academically meaningful?

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Course at a Glance

  • Course AreaComputing and Emerging Technology
  • Study PathwaysB.E./B.Tech, B.Sc./BS, BCA, M.E./M.Tech, M.Sc./MS, diploma, certificate and doctoral pathways
  • Primary FocusProgramming, statistics, data preparation, machine learning algorithms, deep learning, NLP, computer vision, MLOps and responsible AI.

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