Srinivas University Mangalore B.Tech AIML FAQs
Ques. What is the total fee for Bachelor of Technology (B.Tech) in Artificial Intelligence & Machine Learning at Srinivas University Mangaluru?
Ans. The total fee for Bachelor of Technology (B.Tech) in Artificial Intelligence & Machine Learning at Srinivas University, Mangaluru, is INR 6,29,500 for the four-year programme, payable at INR 1,57,375 per year. Hostel charges are payable separately. Confirm current rates at srinivasuniversity.edu.in.
Ques. What is the eligibility for Bachelor of Technology (B.Tech) in Artificial Intelligence & Machine Learning at Srinivas University?
Ans. Candidates must have passed 10+2 or equivalent with Physics, Mathematics, and Computer Science/Electronics/Chemistry from a recognised board, with a minimum aggregate of 45 percent (40 percent for SC/ST reserved category). A valid score in KCET, COMEDK UGET, SUAT, or JEE Main is required.
Ques. What are the career options after Bachelor of Technology (B.Tech) in Artificial Intelligence & Machine Learning?
Ans. Graduates of Bachelor of Technology (B.Tech) in Artificial Intelligence & Machine Learning from Srinivas University can pursue roles as machine learning engineer, data scientist, AI researcher, NLP engineer, and computer vision specialist. The programme also qualifies graduates for AWS ML Specialty, Google TensorFlow Developer, and Microsoft Azure AI certifications, and for M.Tech/M.Sc in Artificial Intelligence or Data Science.
Ques. What entrance exams are accepted for B.Tech admission at Srinivas University?
Ans. Srinivas University accepts KCET (for Karnataka-domicile candidates), COMEDK UGET, SUAT (Srinivas University Admission Test), and JEE Main scores for B.Tech admission. Karnataka-domicile students are encouraged to appear in KCET for government-quota seats; apply at kea.kar.nic.in.
Ques. What practical training is available in Artificial Intelligence & Machine Learning at Srinivas University?
Ans. The B.Tech Artificial Intelligence & Machine Learning programme at Srinivas University includes laboratory sessions in ML model building, deep learning experiments, NLP projects, and computer vision tasks. Students undertake a capstone AI project and industry internship, providing exposure to real-world AI/ML applications.
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