Master of Science in Data Science and Analytics
3.7 /5- Public University
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International students can pursue Master of Science in Data Science and Analytics at PG level at California State University - Chico Campus. The duration of the course at the university is 18 to 24 months. The course is among the top-ranked courses in the International students must meet the entry requirements such as complete academic qualification, a valid test score in exams such as IELTS, TOEFL and PTE to be eligible for the course. The University fees for international students for Master of Science in Data Science and Analytics is around USD 17,196 for first-year. Students must manage additional costs such as
- Rent
- Hostel fees
- Food, books
- Supplies
- Utilities, etc.
Duration | 1.5 - 2 years |
Tuition & Fees | ₹17.86 Lakh Get Fees details |
International Students Admission Website | Go to Website  |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
Master of Science in Data Science and Analytics at CSU Chico Fees
The fee breakup of the California State University - Chico Campus Master of Science in Data Science and Analytics includes the first-year tuition fee and cost of living. The cost of living will include expenses like rent for accommodation, meals, and other utilities. The total average California State University - Chico Campus cost of living can be around USD 9,877. The first-year tuition fees Master of Science in Data Science and Analytics is USD 17,196. Students must note that the total expenses are subject to vary, depending on the additional charges set by the California State University - Chico Campus. Students can check the table given below to know more about California State University - Chico Campus Master of Science in Data Science and Analytics fee breakup.
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 17,85,560 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 12,51,982 |
| Insurance | INR 1,09,833 |
Calculated at the exchange rate of 1 USD = INR 91.68 | Tuition & expenses were last updated on 2ⁿᵈ March 2026Download exam sample paper
Master of Science in Data Science and Analytics at CSU Chico Entry Requirements
- CGPA - 2.5/4
- Read less
- Applicants must have completed a four year college course of study & hold an acceptable UG degree
- UG degrees in statistics, computer science or any heavy data analytic field are recommended.
- Have earned GPA of at least 2.5 on the last degree completed by the candidate or have attained a grade point average of at least 2.5 (A=4.0) in the last 60 semester (90 quarter) units attempted.
Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- Marks - 80/120
-
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-
- Marks - 59/90
- NA
Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- Marks - 6.5/9
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- Marks - 110/160
- GRE is optional
Master of Science in Data Science and Analytics at CSU Chico Application Process
- Statement of purpose is required
- One letter of recommendation
- Resume/Curriculum Vitae
- Official transcripts
- English language proficiency scores
- GRE scores if applicable
- Copy of passport
California State University - Chico CampusStudents Ratings & Reviews
1 Verified Review- 0% students never faced discrimination in this university
Master of Science in Data Science and Analytics at CSU Chico Highlights
- The core classes of the MSDSA program develops a strong interdisciplinary skillet to enhance either track selected.
- The Applied Analytics (AA) track can be thought of as a breadth or applied track, where the focus is for students to collaborate closely with researchers or companies in a domain specific field. Students in this track could be employed in positions where they are the “data person” on a team.
- This track may appeal more to students from a broad range of majors and domain interests such as nutrition, agriculture, medicine, bioinformatics, journalism, political science and even the digital humanities.
- The Machine Learning (ML) track provides deeper and more technical training on the mathematical and computational underpinnings of the statistical, machine learning and artificial intelligence models being used.
- This track may appeal to students with backgrounds in areas such as mathematics, statistics, or computer science. Leveraging their more technical backgrounds students in this track will learn how to develop, implement, and integrate algorithmic solutions using massive amounts of data based on artificial intelligence, machine learning, or statistical analysis methods.
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