Masters in Data Science
- Public University
- Department of Mathematics and Statistics
Masters in Data Science at SDSU Overview
Duration | 1 year |
Course Level | PG Degree |
Mode of Course | Full Time |
International Students Admission Website | Go to Website |
Tuition & Fees | ₹16.53 Lakh View full breakup |
Type of University | Public |
Official Career Service Website | Go to Website |
Masters in Data Science at SDSU Highlights
- The SDSU M.S. in Data Science is a one-year program that provides graduates with the statistical, mathematical, and computational skills needed to meet the large-scale data science challenges of today's professional world
- Program provides graduates with the statistical, mathematical, and computational skills
- The programs focus is on application and interpretation of modern data analysis techniques of known value in today's professional world, both private and public sector
- Incorporates current techniques in statistics, operations research, predictive modeling, data mining and forecasting
- Provides knowledege to meet large-scale data science challenges of today's professional world
Masters in Data Science at SDSU Curriculum
Latest curriculum for Masters in Data Science at SDSU can be downloaded from the below link. The curriculum PDF has semester wise course structure, electives and detailed course content. You can also check course curriculum of other specializations offered in MS at SDSU
Masters in Data Science at SDSU Rankings
Masters in Data Science at SDSU Entry Requirements
- No specific cutoff mentioned
- CGPA - 3/4
- Read less
- Applicants must have a Baccalaureate degree from an institution of higher education with full regional accreditation for that degree
- Applicants must have a GPA of at least 3.0 on a scale of 4.0
- Applicants must have completed courses in key areas equivalent to:
- Database design/programming (SAS, Python, or R) including familiarity with SQL (STAT 410-510 or STAT 415-515 or equivalent)
- Understanding of the principles of programming (CSC 150 or INFO 101 or equivalent)
- Understanding of statistical principles, including multivariate statistical analysis (STAT 441-541 or equivalent)
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Undergraduate preparatory courses required of entering students include two semesters of calculus, one course in matrix or linear algebra, one introductory course in calculus-based probability and statistics. SDSU courses that would satisfy these requirements would be:
- MATH 123 Calculus I
- MATH 125 Calculus II
- MATH 215 Matrix Algebra OR MATH 315 Linear Algebra
- STAT 381 Introduction to Probability and Statistics
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Out of 10
- Marks - 80/120
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Out of 10
- Marks - 6.5/9
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- Marks - 110/160
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- Yes
- Read lessConditional admission may be granted if the applicant: meets the requirements for admission but has not completed the last semester of undergraduate study. Admission is conditional until the Bachelor’s degree is granted, OR lacks prerequisite undergraduate courses specified by the major program. Admission is conditional until these courses have been completed to the satisfaction of the program, OR has a grade point average between 2.75 and 3.0 cumulative for the junior and senior years
Masters in Data Science at SDSU Application Process
- Official transcripts
- Professional Academic Transcript evaluation
- English language proficiency scores
- Financial Support Documents
- Proof of Immunity
- GRE scores (for Electrical Engineering)
- Applicants can enroll in payment plan for monthly wise installments with $40 enrollment fee for each semester
Masters in Data Science at SDSU Fees
Fees components | Amount (for 1 year) |
---|---|
Tuition & fees | INR 16,53,377 |
Fees components | Amount (for 1 year) |
---|---|
Hostel & Meals | INR 6,15,424 |
Insurance | INR 83,933 |
Transportation | INR 1,94,579 |
General Activity Fee | INR 1,26,405 |
Total approximate fees | INR 10,20,341 |
Calculated at the exchange rate of 1 USD = INR 84.27 | Tuition & expenses were last updated on 16ᵗʰ December 2024
Masters in Data Science at SDSU Scholarships
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