Compare VIT Vellore vs BITS Pilani

• Fill the application form online.
• Appear for the VITMEE.
• Once shortlisted, the candidate will be called for counselling.

Candidates who meet the eligibility criteria for the BITS Pilani M.Tech Artificial Intelligence and Machine Learning online course can apply for the programme. To initiate the application process, the candidate needs to apply to the programme, provide the required documents, and pay the application fee. Shortlisted candidates would be required to pay the course fee through their preferred mode of payment, such as Netbanking/Debit Card/Credit Card, and the like. 

Nationality- The applicant for admission should be a Resident Indian National and should have graduated from Institutions located in India.

• Candidates should have graduated with a full-time degree from any recognized University/Institute with a minimum aggregate of 60% or First class for M.Tech. degree programs.
• Candidates appearing for their final degree exam / final semester exam in the current year are also eligible to apply.
• Candidates should have completed their final Semester/year exams before the selection counseling at VIT
• The candidates should produce a statement of final year marks and Provisional degree certificate before August 15th, failing which admission will be cancelled with the forfeit of admission fee

B.E/ B.Tech Degree in any Branch / MCA or any other equivalent degree.

Applicants aspiring to enrol in the online M.Tech Artificial Intelligence and Machine Learning programme at BITS Pilani are required to satisfy the eligibility requirements set by the institution. The eligibility criteria for online M.Tech Artificial Intelligence and Machine Learning are as follows:

Applicants must possess a B.E. or B.Tech. degree with a minimum aggregate score of 60% and should have at least one year of work experience following the completion of their degree.

OR

Applicants are required to possess an MCA or M.Sc. degree or its equivalent, with mandatory inclusion of university-level mathematics or statistics and a minimum aggregate score of 60%, along with a minimum of one year of relevant work experience after graduation.