Dayananda Sagar College of Physiotherapy B.Tech fees is 2,43,000 INR (Yearly). Dayananda Sagar College of Physiotherapy B.Tech admission 2024 will be based on JEE Main, COMEDK UGET.
Course | Duration | Fees |
B.Tech. in Computer Science Engineering (Artificial Intelligence and Machine Learning) | 4 Years | 243000 INR |
To pursue a B.Tech. (Bachelor of Technology) degree at Dayananda Sagar College of Physiotherapy Bengaluru, aspiring students must meet certain eligibility criteria. Candidates should have completed their 10+2 or equivalent examination with Physics and Mathematics as compulsory subjects, along with Chemistry/Biology/Biotechnology/Technical Vocational subject as one of the optional subjects. They must have obtained a minimum aggregate score of 45% (40% for reserved categories) in the qualifying examination. Additionally, students should have a valid score in entrance exams like COMEDK UGET/KCET/JEE Main. Meeting these criteria ensures a strong foundation for students to embark on their journey towards a successful career in the field of technology.
Admission to the B.Tech at Dayananda Sagar College of Physiotherapy is subject to meeting the eligibility criteria and the candidates have to secure a valid score in JEE Main, COMEDK UGET. All shortlisted candidates have to complete the Dayananda Sagar College of Physiotherapy B.Tech admission process by getting their documents verified and paying the admission fee.
Dayananda Sagar College of Physiotherapy B.Tech application form has to be submitted online by visiting the official website. Candidates aspiring to take admission to the B.Tech course at Dayananda Sagar College of Physiotherapy have to first check and meet the eligibility criteria and then proceed further with the application process.
According to the Dayananda Sagar College of Physiotherapy B.Tech placement statistics, the average package for B.Tech is 400000 INR.
The highest domestic package for Dayananda Sagar College of Physiotherapy B.Tech is 400000 INR.
Specialization | Top Companies |
B.Tech. in Computer Science Engineering (Artificial Intelligence and Machine Learning) |