Srinivas University Mangalore B.Tech AIDS FAQs
Ques. What is the total fee for Bachelor of Technology (B.Tech) in Artificial Intelligence & Data Science at Srinivas University Mangaluru?
Ans. The total fee for Bachelor of Technology (B.Tech) in Artificial Intelligence & Data Science 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 & Data Science 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 & Data Science?
Ans. Graduates of Bachelor of Technology (B.Tech) in Artificial Intelligence & Data Science from Srinivas University can pursue roles as data scientist, data analyst, business intelligence analyst, AI/ML engineer, and data engineer. The programme qualifies graduates for certifications such as Google Data Analytics, AWS Data Engineer, and Microsoft Azure Data Scientist, and for M.Tech/M.Sc in Data Science or Artificial Intelligence.
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 & Data Science at Srinivas University?
Ans. The B.Tech Artificial Intelligence & Data Science programme at Srinivas University includes data science laboratory sessions in Python, SQL, big data tools, and ML model building. Students undertake a capstone data science project and industry internship, gaining exposure to real-world AI and analytics applications.







Comments