Karunya Institute of Technology and Sciences Coimbatore Answered Questions

The docs required for eligibility verification during BTech in AI & Data Science admissions at Karunya University are:
1. 10+2 examination certificate
2. Mark sheet of 10+2 examination
3. Transfer certificate
4. Conduct certificate
5. Community certificate (if applicable)
6. Passport size photographs
7. Migration certificate (if applicable)
8. Diploma certificate and mark sheets (for lateral entry)
9. B.Sc. degree and mark sheets (for lateral entry)
10. D.Voc. stream certificate (for lateral entry)

Yes, direct admission is possible for Karunya University's B.Sc. in Forensic Sciences programme. The eligibility criteria include a Higher Secondary (10+2) or equivalent qualification with Physics, Chemistry, and Biology and/or Maths as main subjects and a minimum aggregate score of 50%.

Admission to B.Tech. in Artificial Intelligence and Data Science at Karunya University is based on the following criteria:
- 10+2 with a minimum average of 60% in Physics, Chemistry, and Mathematics
- Valid score in Karunya Entrance Examination (KEE) or JEE (Main) or CEE-AMPAI or any State Engineering Entrance Examination
- For lateral entry, a diploma in engineering with a minimum of 60% or a B.Sc. degree with a minimum of 60% and a valid score in the Karunya Entrance Examination.

The eligibility criteria to seek direct admission for the B.Tech. in Biotechnology (Artificial Intelligence) course at Karunya University is:Passed 10+2 examination with Physics / Mathematics / Chemistry / Computer Science / Electronics / Information Technology / Biology / Informatics Practices / Biotechnology / Technical Vocational Subject / Agriculture / Engineering Graphics / Business Studies / Entrepreneurship (any of the three) with a minimum marks in the above subjects taken together as per AICTE norms.Alternatively, passed minimum 3 years Diploma Examination with a minimum marks as per AICTE norms, subject to vacancies in the First year, in case the vacancies at lateral entry are exhausted.

The Karunya University offers admission to the B.Tech. in Robotics and Automation (Artificial Intelligence and Data Science) course based on the Karunya Entrance Examination (KEE) 2025 rank through the Single Window Counselling 2025 (SWC'25) process. Candidates must submit an online application and participate in the KEE 2025, and course allocation will be based on the KEE'25 rank through the SWC'25 process.

The college is moderately strict when it comes to the eligibility requirements of B.Tech. in Biotechnology (Medical Biotechnology) at Karunya University. The eligibility criteria include a passed 10+2 examination with Physics/ Mathematics / Chemistry/ Computer Science/Electronics/Information Technology/ Biology/Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/Entrepreneurship, with at least 50% in the above subjects taken together, or a passed minimum 3 years Diploma examination with at least 50% marks.

The eligibility requirements for B.Tech in Biotechnology (Artificial Intelligence) at Karunya University are:- Passed 10+2 examination with Physics/ Mathematics/ Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational Subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship (any of the three) with a minimum marks in the above subjects taken together as per AICTE norms.- Passed minimum 3 years Diploma Examination with a minimum marks as per AICTE norms, subject to vacancies in the First year, in case the vacancies at lateral entry are exhausted.

B.Sc. in Forensic Sciences graduates from Karunya University can work in various sectors, including:
Law Enforcement Agencies
Forensic Laboratories
Medical Examiner's Office
Crime Scene Investigation
Cyber Forensics
Digital Forensics
Forensic Accounting
Environmental Forensics
Forensic Psychology
Academia and Research
Note: The actual job sectors may vary based on individual preferences, skills, and market demand.