Years | year 1 | year 2 | ||
---|---|---|---|---|
Total Year Wise fees | ₹78,600 | ₹39,700 | ||
Semester | 1 | 2 | 3 | 4 |
Admission fees | ₹26900 | - | - | - |
Tuition fees | ₹12500 | ₹12500 | ₹12500 | ₹12500 |
Other fees | ₹19350 | ₹7350 | ₹7350 | ₹7350 |
Years | year 1 | year 2 | ||
---|---|---|---|---|
Total Year Wise fees | ₹30,700 | ₹14,700 | ||
Semester | 1 | 2 | 3 | 4 |
Admission fees | ₹8750 | - | - | - |
Tuition fees | ₹7350 | ₹7350 | ₹7350 | ₹7350 |
Other fees | ₹7250 | - | - | - |
Events | Dates |
---|---|
Last Date for Online Payment of Seat Booking Fee for Fourth Admission List [IIT JAM] | Jul 08, 2024 |
Declaration of Fourth Admission List [IIT JAM] | Jul 05, 2024 |
Opening and Closing of Withdrawal Option [IIT JAM] | Jun 15, 2024 - Jul 01, 2024 |
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The IIT JAM 2024 round 1 cutoff rank for the Master of Science [M.Sc] (Applied Statistics and Informatics) at IIT Bombay was 26 for the General category.
Round | Cutoff 2024 |
---|---|
Round 1 | 26 |
Round 2 | 26 |
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Aspirants seeking admission to 2 year Full-time M.Sc Program should meet the following criteria as specified by the institute.
Academic Requirement:
Candidate should have passed Graduation in the relevant stream from the recognized University.
Entrance Exam:
Candidates must qualify one of the following entrance test - JAM
Fee Details :
IIT Bombay | |
---|---|
Reviews Rating | - |
Cost To Study | Total Fees ₹118300 (2 Years ) |
Ranking | # Ranked 401-500/801 by Times Higher Education Science Ranks |
Highest Salary | ₹36700000 |
Average Salary | ₹2182000 |
General Course Details | Duration - 2 Years Course Offered - Full Time Total Seats - 48 Mode - Full Time Degree Type - On Campus Course Level - Post Graduation Course Credential - Degree |
Eligibility | Graduation + JAM |
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MSc Applied Statistics and Infometrics at IIT Bombay can be challenging for some students who did their B.Sc from Mumbai University, especially if they did not receive sufficient training in statistics. In comparison to Delhi University and Calcutta University, the Mumbai University curriculum is relatively deficient in statistical topics. Consequently, most of the students in the class come from DU and CU. While DU and CU students are often comfortable during the first quarter or half of the semester since they studied similar topics in their bachelor's programs, Mumbai University students may struggle to keep up.
Despite the challenges, this course is in line with current analytics trends in the market. The course requires students to complete not only statistics courses but also intermediate-level computer science courses such as C, C++, Data Structures, and Applied Algorithms. Students also receive some exposure to statistical software, depending on which software the professor prefers: SaS or R.
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