Master of Science [M.S] (Data Analytics)
Field of Study:
$21,528/Yr
- The Master of Science in Data Analytics (MSDA) program offered by the Department of Applied Data Science is developed in partnership with industry experts from Silicon Valley.
- 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.
Program Learning Outcomes
- Integrate multidisciplinary knowledge to engage in practical data analytics projects, from analyzing requirements to managing data, building models, presenting results, and assessing societal impacts.
- Identify, use, and evaluate current and emerging multidisciplinary data analytics technologies and tools.
- Apply effective oral and written communication skills necessary for professional work including collaboration and presentation to multidisciplinary audiences.
- Perform independent research in applying data analytics to specific domains.
- Utilize quantitative skills from a rich foundation of essential knowledge to solve complex, dynamic, and practical data analytics problems in various professional domains.
- Work productively as individuals and in teamwork to perform data analytics tasks as part of a multidisciplinary team.
- Identify ways in which data analytics professionals can contribute to the cultural, economic, educational and social well-being in diverse and multicultural local, national and global contexts.
Program Features
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Multidisciplinary Curriculum: Features a comprehensive curriculum jointly developed by the College of Business, the College of Engineering, the College of Professional and Global Education, the College of Health and Human Sciences and the College of Science.
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Career-Aligned Opportunities: More than 120 Silicon valley commpanies have hired MSDA students and graduates have for internships and full-time positions, These companies include Adobe, Airbnb, Amazon, Capital One, Cisco, Facebook/Meta, Google/Alphabet, IBM, Intel, Intuit, Juniper, Lucid, PayPal, Tesla, Uber, Visa, VMWare, Waymo, etc.
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Outstanding Faculty: Academic and industry experts provide students with a industry-aligned curriculum and a wide range of practical knowledge and experience in data analytics.
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Affordable Education: There are 10 courses, for a total of 30 graduate-level units, to fulfill the requirements for a Master of Science in Data Analytics degree. For Acedemic year 2023-24, tuition and fees cost of each 3-unit special session course is $2,700.
- STEM Degree Program: Classified as a Science, Technology, Engineering, and Math (STEM) degree program and meets course requirements for F-1 visa holders.
The MSDA degree requires 30-semester units consisting of 6 core, 2 elective and 2 culminating experience courses. Each course is 3-semester units.
Culminating Experience (Plan A or Plan B)
All students must complete one of the following culminating experience options as part of their 30-unit program requirement.
Plan A (Thesis)
- The student must write a thesis proposal and have it approved by the thesis committee and pass the DATA 299A course before enrolling in DATA 299B.
- The thesis must meet university requirements as stipulated in this catalog . It will be written under the guidance of the candidate’s thesis committee chair with the assistance of the thesis committee.
Plan B (Project)
- The graduate project is a research or development effort performed by a team of students on a topic chosen by mutual agreement between an advisor and the team. The choice of project topic must also be approved by the instructor of DATA 298A.
- DATA 298A is the first part of the master’s project in which students develop a comprehensive plan and preliminary design of a data analytics project.
- DATA 298B is the second part of the master’s project course in which each student completes an in-depth written project to achieve the program outcomes and satisfy the program’s culminating experience requirement.
Important Dates
Event | Application Date |
---|---|
Fall 2024 Application Deadline | |
Fall 2024 Document Submission Deadline | |
Tuition Fees
Year | 1st Year Fees |
---|---|
Tuition Fees | $21528 (USD 21528) |
Other Expenses
Head | Avg Cost Per Year |
---|---|
Health Insurance | $1125 (USD 1125) |
Books and supply | $1110 (USD 1110) |
Miscellaneous expenses | $2614 (USD 2614) |
Total Cost | $4849 (USD 4849) |
Previous Year Fees
Year | 1st Year Fees |
---|---|
2022 | $17940 (USD 17940) |
Eligibility & Entry Requirement
Acceptance Rate | 84.40% |
Academic Requirement | A Bachelor's degree in the sciences or engineering with a minimum GPA of 3.0 (based on a 4.0 scale) from a regionally accredited institution is required |
Work Experience | Work experience is not required but having relevant work experience in the field of data analytics or a related field can be beneficial in the admissions process |
English Language Proficiency Score | IELTS - 6.5 | TOEFL iBT- 80 | PTE - 53 |
Documents Required |
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Application Fee | USD 70 (5729 INR) |
Applications Deadline |
For Spring 2024: October 1, 2023 |
Decision time |
Typically, it can take around 4-6 weeks to receive a decision from the university |
Course Guides
Masters (MS) in USA: Colleges, Courses, Deadlines, Eligibility & Fees
Masters of Science in Data Analytics in USA: Universities, Admission, Cost, & Benefits
MS in Data Science in USA: Top Universities, Eligibility, Fees, Scholarships, Scope
Scholarship Grants & Financial Aids
Name | Scholarship Per Student | Level of Study | Type | |
---|---|---|---|---|
Go Clean Scholarship | Scholarship per student$ 3,500/Yr$3,500 | Level Of StudyBachelor | TypeMerit-Based | |
Ellis R. Ott Scholarship for Applied Statistics and Quality Management | Scholarship per studentVariable Amount | Level Of StudyDoctorate | TypeMerit-Based | |
AAUW International Fellowships | Scholarship per studentVariable Amount | Level Of StudyDoctorate | TypeMerit-Based | |
Forktip Women’s- Innovation Scholarship | Scholarship per studentVariable Amount | Level Of StudyBachelor | TypeCollege-Specific | |
Gyandhan Scholarship | Scholarship per student$ 1,222/Yr$1,222 | Level Of StudyMaster | TypeMerit-Based | |
Deutschland Stipendium Program | Scholarship per student$ 4,363/Yr$4,363 | Level Of StudyBachelor | TypeCollege-Specific |
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