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
- What exact degree title appears on the certificate?
- Is it AI and ML or CSE with AI and ML?
- Does the curriculum include core CSE subjects?
- How much Mathematics is included?
- Are faculty members specialised in ML?
- How many AI and ML students are admitted each year?
- Are GPU and cloud resources available?
- What practical projects are required?
- Is MLOps included?
- Is responsible AI included?
- Are internships compulsory?
- Which employers offered AI-specific roles?
- How many students entered general software roles?
- What is the complete fee?
- Are cloud, certification and examination costs additional?
- Can students select open electives?
- Are research opportunities available?
- What is the placement rate for the specific branch?
- What are the refund rules?
- Are industry partnerships academically meaningful?
Continue your Artificial Intelligence and Machine Learning research
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.