Master of Science [M.S] (Data Science)
STEM Course
18 months
Full Time
Online & On Campus
College Partner
Field of Study:
$33,960 /Yr
41 Students Applied
16 Students Admitted
- The University of Arizona MS in Data Science (MSDS) is a comprehensive program designed to equip you with the essential skills and knowledge needed to excel in the rapidly evolving field of data science
- The MSDS program focuses on providing you with a strong foundation in key areas of data science, including data mining and discovery, data analysis and visualization, and data ethics
- The program emphasizes hands-on learning, encouraging you not only to take courses but also to conduct research, collaborate with faculty and corporate partners on real-world data challenges, and apply advanced data skills to enhance their educational experience
- The university of arizona ms data science curriculum includes two required core data science courses:
- Data Mining and Discovery
- Data Analysis and Visualization
- The ms in data science university of arizona program culminates in a 1- to 3-unit capstone project, allowing you to showcase their mastery of the program's competencies
- Graduates of the university of arizona masters in data science program are well-prepared for a diverse range of jobs in the rapidly growing and highly sought-after field of data science
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Important Dates
| Event | Application Date |
|---|---|
| Application Deadline For Spring Intake | |
| Application Deadline For Fall Intake | Feb 15, 2025 |
Tuition Fees
| Year | 1st Year Fees |
|---|---|
| Tuition Fees | $33960 |
Other Expenses
| Head | Avg Cost Per Year |
|---|---|
| Living Expenses | $12700 |
| Health Insurance | $2765 |
| Books and supply | $800 |
| Miscellaneous expenses | $2050 |
| Total Cost | $18315 |
Eligibility & Entry Requirement
| Acceptance Rate | 87% |
| Academic Requirement | Applicants are required to have a bachelor’s degree from the University of Arizona or from an accredited college or university recognized by the University of Arizona with a GPA of at least 3.0 on 4.0 scale |
| English Language Proficiency Score | TOEFL iBT : 79 | IELTS : 7 | PTE : 60 |
| Documents Required |
|
| Application Deadline | March 15, 2024 (For Fall 2024) |
| Application Fee | USD 90 (INR 7443) |
| Decision Time | Within two to three weeks |
| Interview | Online |
Scores Required
Submission of GRE score is not required.
Course Guides
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MS in Data Science in USA: Top Universities, Eligibility, Fees, Scholarships, Scope
Career and Placement after Course
| Top Employers | Amazon | Apple | The Boeing Company | Humana | IBM | Lockheed Martin | The Roche Group | Square |
| Average Base Salary | USD 110000 (INR 9097231) |
| Career Outcomes | After completing an ms in data science program from university of arizona you can start your career in such diverse areas as Data analyst | Data architect or engineer | Business intelligence analyst | Language engineer | Data scientist | Quality specialist |
Scholarship Grants & Financial Aids
| Name | Scholarship Per Student | Level of Study | Type | |
|---|---|---|---|---|
| KC Mahindra Scholarship | Scholarship per student$ 10 L/Yr$1,000,000 | Level Of StudyMaster | TypeMerit-Based | |
| Axol Science Scholarship | Scholarship per student$ 2,000/Yr$2,000 | Level Of StudyBachelor | TypeCompany-Sponsored | |
| Innovation in Education Scholarship - La Tutors 123 | Scholarship per student$ 500/Yr$500 | Level Of StudyBachelor | TypeMerit-Based | |
| (ISC)² Women’s Cybersecurity Scholarships | Scholarship per studentVariable Amount | Level Of StudyBachelor | TypeMerit-Based | |
| Bharat Petroleum Scholarship | Scholarship per studentVariable Amount | Level Of StudyMaster | TypeMerit-Based | |
| ASID Foundation Legacy Scholarships | Scholarship per student$ 4,000/Yr$4,000 | Level Of StudyBachelor | TypeMerit-Based |
Options Available
| Program | Delivery Type | Duration | Program Type | Tution Fees |
| M.S Statistics and Data Science | full time | 2 years | on-campus, Thesis Based | $39575 |
College Student Profiles
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Reviews
Data Science and Analytics (2)
Accounting (1)
Biology (1)
Biotechnology (1)
Chemistry (1)
Biochemistry (1)
9 Reviews Found
- Likes:
- Very resourceful, Excellent Library, Good career guidance facilities, Good On-campus employment, Job fairs, Workshops, Campus pantry (Free essential groceries)
- Dislikes:
- Short lectures, Hard to get assistantships
I chose this university because: 1. The course curriculum it offers; we have the flexibility to choose our own electives from different disciplines related to our field. 2. Experienced faculty with a huge number of citations. 3. Good College and program ranking Overall experience at the University - satisfied
0 0
- Likes:
- University of Arizona has good course curriculum and good rankings as well. Their course is thorough so I chose it.,
- University is nice and the exposure and teaching given is pretty good. There are a lot of opportunities to learn and grow in this university and the faculty and staff is great as well. The subjects and testing environment is good aswell.
- Dislikes:
- The weather here in Tucson can get a little hot, which might be a problem for some but otherwise the university of arizona is a great place to be. Some changes in culture might be hard for a foreign grad student to adopt to but otherwise they make sure you feel at home.
Overall experience at University of Arizona has been good and generally there is a lot to learn from here. looking forward to all the opportunities that are there ahead and to meeting new people from my field.
0 0
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Important Dates
| Program | Important Dates |
|---|---|
| M.S Data Science | Application Deadline For Spring Intake (1st Sep 2024) Application Deadline For Fall Intake (15th Feb 2025) |
| M.S Computer Science | Application Deadline (15th Jan 2025) |
| M.S Business Analytics | Application Deadline (1st Apr 2025) |
| M.S Information Science - Machine Learning | Application Deadline For Spring Intake (1st Sep 2024) Application Deadline For Fall Intake (15th Feb 2025) |
| M.B.A | Final Application Deadline (15th Jan 2025) |
| M.S Statistics and Data Science | Application Deadline For Spring Intake (1st Dec 2024) Application Deadline For Fall Intake (1st Jan 2025) |
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