Master of Science [M.Sc] (Data Science)
STEM Course
1 year
Full Time
On Campus
Field of Study:
$49,760/Yr
$49,760 /Yr
Tuition Fees
Year | 1st Year Fees |
---|---|
Tuition Fees | $49760 (USD 49760) |
Other Expenses
Head | Avg Cost Per Year |
---|---|
Room and Board | $15410 (USD 15410) |
Transportation | $1200 (USD 1200) |
Previous Year Tuition Fees
Year | 1st Year Fees |
---|---|
2021 | $49760 (USD 49760) |
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- The Master of Science in Data Science (MSDS) is a full-time, one-year program housed at USF’s downtown San Francisco campus.
- The 35-unit program begins in early July every year and features a modern, open-source-focused curriculum for students who seek the technical expertise required to become data scientists and analysts. The business skills to apply this knowledge effectively and strategically.
- The program begins with our boot camp, an intensive review of the foundational knowledge and skills required for success in the MSDS program.
- Students complete accelerated review courses in probability & statistics and computation for analytics and must pass a linear algebra competency exam to advance in the program.
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Eligibility & Entry Requirement
Academic Eligibility:
- Students who hold a bachelor's degree in any field are considered for admission.
- Students with academic or professional backgrounds in math, computer science, engineering, finance, economics, or equivalent skills are encouraged to apply.
- Students are required to maintain at least a 3.0 on a 4.0 scale overall GPA.
Language Requirments:
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Scores Required
Median GRE Score Over Years
Required Document List
- Transcripts and academic records in the original language of your institution.
- Official degree conferral certificates indicating degree completion or expected date of completion.
- Resume/CV
- A minimum of two recommendation letters are required for their application
- Statement of Purpose
TOP Scholarships
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Key Resources for Your Study Abroad Journey
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Career and Placement after Course
- Students graduating from the MSDS program are embedded in the world's largest concentration of technology companies.
- Equipped with the techniques and skills necessary for data-driven decision making, our graduates are prepared for careers in a wide variety of fields with rapidly growing demand for knowledgeable and well-educated data scientists, engineers, and analysts.
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