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B.Tech Artificial Intelligence and Machine Learning at Anurag University Offline Course
48 Months
Full time
13,00,000Quick Facts
Total Fees 13.00 L | Exam Uni-Gauge-E |
Fees Details
General
₹ 13.00 L
Disclaimer: Data for total fees has been calculated based on all years/semesters as provided by the college. The actual fees may vary.
Course Details
MODE
Full timeDURATION
48 MonthsBachelor of Technology (B.Tech) in Artificial Intelligence and Machine Learning is a four-year full-time undergraduate program offered by the Anurag University, Hyderabad.
Eligibility Criteria
Qualification:
- Indian Boards: A minimum of 60% aggregate marks in Mathematics, Physics & Chemistry and first class or equivalent grade in the qualifying examination.
A Level:
- Physics, Mathematics and Chemistry / Computer Science or any technical vocational subject* as optional subject in the ‘A’ Levels and English in the ‘AS’ / IGCSE / GCSE.
- Minimum grade required is an average of ‘D’ grade in Physics, Mathematics and any one of the optional subjects * Technical vocational subject must be related to Chemical / Civil / Computer / Electrical / Mechanical streams.
IB:
- English, Physics, Mathematics and Chemistry / Computer Science or any technical vocational subject* as optional subject (preferably Mathematics and Physics at HL level).
- IB Diploma or IB Certificate with minimum average of 4 points for Physics, Mathematics and any optional subject* with overall minimum of 24 points * Technical vocational subject must be related to Chemical / Civil / Computer / Electrical / Mechanical streams.
Admission Details
General Category
- Apply Online/Download Application.
- Based on the merit in JEE / TSEAMCET / AP EAPCET / Marks secured in 10+2 or Intermediate.
- TSEAMCET / AP EAPCET / Uni-GAUGE / AIEEE / JEE can be waived for exceptional students.
Top Exams Accepted by Anurag University
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News and Notifications
6 days ago :
In THE Impact Ranking 2026, the university has been placed in the 801-1000 global band overall.
6 days ago :
The CAT 2026 examination will be conducted on November 29, 2026.
Sep 02, 2026 :
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Sep 11, 2026