

MS in Data Analytics
- Public University
MS in Data Analytics at SJSU USA Overview
San Jose State University is one of the finest universities in USA. San Jose State University provides MS in Data Analytics at PG level. The duration of this course is 2 years. This course attracts students from all over the world. To enrol in this course, international students must fulfil all the admission requirements. The admission requirement at the San Jose State University include standardized tests like IELTS, TOEFL and PTE. The first year tuition fees San Jose State University for MS in Data Analytics is USD 16,234. Moreover, the students must be ready for other expenses such as rent, hostel fees, food, books, supplies, utilities, etc. The average cost of living at San Jose State University is USD 18,968.
Duration | 2 years Get Curriculum |
Tuition & Fees | ₹13.21 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
MS in Data Analytics at SJSU USA Fees
To get admission in MS in Data Analytics at San Jose State University students need to cover tuition fees and living costs. The fee structure varies based on whether the student is domestic or international. For international students the tuition fee for the first year is USD 16,234. In addition to this students should budget for
- Other living expenses
- including
- housing
- food
- transportation
- books and personal expenses
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 13,21,037 |
| Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 18,16,740 |
| Insurance | INR 1,67,597 |
MS in Data Analytics at SJSU USA Curriculum
Latest curriculum for MS in Data Analytics at SJSU USA 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 SJSU USA
Download exam sample paper
MS in Data Analytics at SJSU USA Entry Requirements
- No specific cutoff mentioned
- CGPA - 2.5/4
- Read less
- Applicants must hold a bachelor's degree from a regionally accredited institution
- At least one semester each of college calculus, statistics and programming courses
- An applicant might be conditionally admitted to the program with marginal deficiency in the above requirements
- Applicants must meet the following admission requirements:
- U.S. bachelor’s degree from a regionally accredited institution, or the completion of a 4-year bachelor’s degree from a recognized, accredited, and approved institution from a country outside of the U.S
- A 2.5 institutional or college cumulative GPA (from the 0.0 - 4.0 U.S. grading scale) last two years of full time study (3.0 GPA recommended)

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- Marks - 80/120
-
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- Marks - 53/90
- NA
- Marks - 6.5/9
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- Marks - 120/160
MS in Data Analytics at SJSU USA Application Process
- The university offers payment plans to assist students and their families in making their payments over a period of time
- Two payment plans are offered for the fall and spring semesters:
- Tuition and fees payment plan
- Housing payment plan
- Students may sign up for both plans if needed and each payment plan has a $35 fee
MS in Data Analytics at SJSU USA Rankings
| Rank | Rank Publisher |
|---|---|
| #1677 |
San Jose State UniversityStudents Ratings & Reviews
- 37% students never faced discrimination in this university
MS in Data Analytics at SJSU USA Highlights
- The Master of Science in Data Analytics (MSDA) program is developed in partnership with industry experts from Silicon Valley. The program is designed to serve students from diverse academic and professional backgrounds
- Students receive the advanced education necessary to apply analytics to solve real-world problems by immersing them in the full data analytics process lifecycle
- Students learn how to build portfolios of data analytics projects by leveraging the interrelationship between domain data knowledge and emerging information technologies
- Students advance their knowledge and skills through the integration of:-
Identifying domain-specific problems, defining requirements, and establishing measurable organizational objectives
Performing data exploration, preparation, visualization, and governance
Applying programming, statistics, database, data mining, and machine learning technologies to build models for descriptive, diagnostic, predictive, and prescriptive data analytics
MS in Data Analytics at SJSU USA Scholarships
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MS in Data Analytics at SJSU USA Contact Information
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