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Yes, the B.Sc. in Cardio Vascular Technology eligibility criteria differ for the reserved category candidates at Amrita School of Allied Health Sciences. The eligibility criteria for reserved category candidates are not explicitly stated, but the general eligibility criteria for the programme are: Pass in Plus Two with 60% Aggregate Marks in Physics, Chemistry, Biology & English.

The eligibility criteria to seek direct admission for the B.Sc. in Cardio Vascular Technology course at Amrita School of Allied Health Sciences is a pass in Plus Two with 60% aggregate marks in Physics, Chemistry, and Biology.

Graduates of the B.Sc. in Cardio Vascular Technology programme from Amrita School of Allied Health Sciences can pursue various career paths, including:

• Cardiovascular Technologist


• Catheterization Laboratory Technologist


• Electrocardiogram (ECG) Technician

They can also further their education through higher studies, such as pursuing a master's degree or specialised certifications, to enhance their skills and qualifications, leading to advanced career opportunities and earning potential.

Kongu Engineering College is strict regarding the eligibility requirements of MCA, as students must successfully complete all courses, gain required credits, and pass additional prescribed courses, with no pending disciplinary actions.

The required docs for eligibility verification during MCA admissions at Kongu Engineering College are not explicitly stated in the provided output. However, based on general admission procedures, typically required docs may include:
- Mark sheets and certificates of qualifying examinations (e.g., Bachelor's degree)
- Proof of age and identity
- Transfer and conduct certificates from previous institutions (if applicable)
- Other docs as specified by the institution for eligibility verification.

For precise and up-to-date information, it is recommended to contact the college directly or visit their official website.

To be eligible for admission to the MCA at Kongu Engineering College, a candidate should pursue a stream in Computer Science, Information Technology, Computer Application, or any other computer Science equivalent backgrounds of study. If a candidate is from a different background, they must complete four additional non-credit courses as bridge courses in the first and second semesters.

The candidate should pursue the Science stream, specifically with subjects like Physics, Mathematics, Chemistry, Computer Science, Electronics, Information Technology, Biology, Informatics Practices, Biotechnology, Technical Vocational subject, Agriculture, Engineering Graphics, Business Studies, or Entrepreneurship, to be eligible for admission to the BTech in CSE (AI & ML) at ABES Engineering College.

The eligibility criteria for BTech in CSE (AI & ML) at ABES Engineering College differ for reserved category candidates. They must have obtained at least 40% marks in the relevant subjects, whereas the general category candidates must have obtained at least 45% marks.

To seek direct admission for the BTech in CSE (AI & ML) course at ABES Engineering College, the eligibility criteria are:
- Passed 10+2 examination with Physics and Mathematics as compulsory subjects and Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship.
- Obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together.

Admission to the BTech in CSE (Artificial Intelligence and Machine Learning) course at ABES Engineering College is based on the candidate obtaining at least 45% marks (40% marks in case of candidates belonging to reserved category) in the subjects of Physics, Mathematics, and one of Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship taken together.

To get admission in BTech in CSE (Artificial Intelligence and Machine Learning) at ABES Engineering College, the docs required are:
1. 10+2 marksheet
2. JEE Main scorecard
3. Category certificate (if applicable)
4. Migration certificate
5. Character certificate
6. Medical fitness certificate
7. 10th marksheet
8. Passport size photograph
9. ID proof
10. Gap year affidavit (if applicable)

Yes, direct admission to ABES Engineering College BTech in CSE (Artificial Intelligence and Machine Learning) programme is possible for candidates who have passed 10+2 with a minimum of 45% marks in Physics, Mathematics, and one of the subjects - Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship, and have a valid JEE Main score or UPSEE rank.

Yes, there is an entrance exam required for admission to BTech in CSE (AI & ML) at ABES Engineering College. The entrance exams accepted are Joint Entrance Examination JEE (Main) 2025 and CUET (UG)-2025.

To get admission to BTech in CSE (Artificial Intelligence and Machine Learning) at ABES Engineering College, candidates should have passed 10+2 with at least 45% marks in Physics, Mathematics, and one of the subjects - Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship.

Yes, private companies hire from BTech in CSE (Artificial Intelligence and Machine Learning) at ABES Engineering College. Some of the top job titles include Computer Vision Engineer, Data Analyst, Algorithm Engineer, Research Engineer, Data Scientist, Data Engineer, ML Engineer, Computer Scientist, Principle Data Scientist, Big Data Architect, Business Intelligence Developer, Machine Learning Engineer, Robotics Programmer, Software Engineer, and Video Game Programmer.

Yes, ABES Engineering College provides placements for BTech in CSE (Artificial Intelligence and Machine Learning).

Robotics Programmer, Software Engineer, Video Game Programmer, Computer Vision Engineer, Data Analyst, Data Engineer, ML Engineer, Computer Scientist, Algorithm Engineer, Research Engineer, Data Scientist, Principle Data Scientist, Big Data Architect, Business Intelligence Developer, Machine Learning Engineer.

79.85% of students were placed in BTech in CSE (Artificial Intelligence and Machine Learning) at ABES Engineering College placements.