Great Lakes PGPM & PGDM 2025
ApplyAdmissions Open | Globally Recognized by AACSB (US) & AMBA (UK) | 17.3 LPA Avg. CTC for PGPM 2024 | Extended Application Deadline: 10th Feb 2024
Total Fees 14.56 L | Exam SNAP | Seats 60 |
₹ 14.56 L
MODE
Full timeDURATION
24 MonthsMaster of Business Administration in Data Sciences and Data Analytics is two years full-time Full Time Two Year residential programme course. Affiliated to Symbiosis International University, Pune.
MBA (Data Sciences and Data Analytics) aims at developing Management professionals for Data Sciences and Data Analytics stream. Students will gain analytics competencies and use hands on tools in data sciences thereby preparing them for business and techno-functional roles in data sciences and analytics projects.
Total Seats: 60
Reservation SC: 15%, ST : 7.5%, Differently Abled : 3%
Over and Above Total Intake 2 seats for children of migrants from Jammu and Kashmir valley
15% seats for International Students
Exams and Events | Dates |
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SNAP Result Date (Mode - Online) | 7 Jan'25 - 7 Jan'25 |
Each student desirous of admission to SCIT must appear for Symbiosis National Aptitude (SNAP) Test 2020, which is a common written test for the admission to all Symbiosis postgraduate institutes.
The college is located in the IT hub of the city provide all the required need for the students.Hostels are provided with all the amenities .One of the best college campus to grow with the peers and other college student.
Admissions Open | Globally Recognized by AACSB (US) & AMBA (UK) | 17.3 LPA Avg. CTC for PGPM 2024 | Extended Application Deadline: 10th Feb 2024
Last Date of Applications- 20th February |250+ Companies | Highest CTC 16 LPA | Average CTC 8 LPA | Ranked as Platinum Institute by AICTE for 6 years in a row
Highest CTC 35 LPA | Median CTC 9.27 LPA | 172+ Recruiters
NAAC A++ Grade | Only Indian University member in the Global Liberal Arts Alliance
National Level Entrance Test | Recognized by Over 200 Top B-Schools across India
India’s first Urban Multidisciplinary University | Case-based pedagogy