

Master of Science in Data Science and Analytics
- Public University
Master of Science in Data Science and Analytics at CSU Chico Overview
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 | ₹15.25 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.
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 15,24,769 |
| Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 8,75,794 |
| Insurance | INR 1,06,227 |
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Master of Science in Data Science and Analytics at CSU Chico Entry Requirements
- CGPA - 3/4
- Read less
- The Masters of Science in Data Science and Analytics (MSDSA) is open to students with a Bachelor's degree that have a strong interest in pursuing a programming approach to solving problems using data.
- Applicants must have an acceptable baccalaureate degree
- GPA of at least 3.0 in the last 30 semester (45 quarter) units attempted for majors directly related to Data Science (Statistics, Data Science, Computer Science, Data Science, Business Analytics). A GPA of a 3.2 or higher is required for other majors
- If students do not meet the GPA thresholds, their application will still be considered. Be sure to explain in their Statement of Purpose why they believe their GPA is not an accurate indicator of their ability to succeed in the MSDSA program

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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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- No specific cutoff mentioned
Master of Science in Data Science and Analytics at CSU Chico Application Process
- Official transcripts from all accredited institutions attended since high school (community colleges and universities)
- English language proficiency scores
- Optional:
- A demonstration of a recent quantitative statistical analysis or data science project. We would like to see examples of your analytical process, including problem solving, coding, and explanatory writing.
- One publicly available and relevant URL that links to a project portfolio
- Test scores for the Graduate Record Exam (GRE) Aptitude Test
California State University - Chico CampusStudents Ratings & Reviews
- 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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