University of Southampton Delhi Masters Admissions 2025
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Quick Facts
Total Fees 3.00 L |
Fees Details
General
₹ 3.00 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
24 MonthsMaster of Science in Big Data Analytics is a two-year full-time course offered by Mangalore University, Mangalore.
Eligibility Criteria
A candidate who has passed any recognized undergraduate examination or equivalent examination with Mathematics or Statistics or Computer Science or Computer Applications or Computer Programming or Business Mathematics or Business Statistics as one of the optional subjects and obtained an aggregate minimum of 45% marks taken together in all the subjects in all the years of the Degree Examination is eligible for admission to the course. 40% of marks in Q. E. in case of SC, ST, and Category-I of candidates.
Provided that in respect of candidate who has studied and passed one of the subjects specified above in Pre-University Course with 50% per cent of marks in that subject shall also be considered for admission. 45% of marks in case of SC, ST and Category-I of the candidate.
Admission Details
- Admission to M.Sc Big Data Analytics programme for Karnataka / Non-Karnataka candidates is made based on Big Data Analytics Competency Test (BDACT) conducted by St Aloysius College (Autonomous), Mangalore as per the norms of the Autonomous institute regulations.
- The minimum percentage in eligibility examination for admission in M.Sc Big Data Analytics programme is 50% in case of GM and 45% in case of SC / ST.
- Ranking of the admission will be given based on 50% of the scores of Undergraduate Examination and remaining 50% of the Scores from Big Data Analytics Competency Test (BDACT).
- In the event of a particular department receiving lesser number of applications than the number of seats available, the entrance test, where applicable, may not be conducted. (As per Mangalore University regulations).
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