Master of Science [M.S] (Data Analytics)
Field of Study:
$11,508/Yr
Master of Science – Data Analytics (MS-DA) program is a graduate program, in collaboration with the Departments of Computer Science, Economics, Mathematics, Industrial Management and Systems Engineering, Statistics, and Geography, focusing on using advanced technologies to manipulate big data, utilizing rigorous methods to interpret the data, and obtaining the business skills necessary to translate understanding into actionable organizational strategies.
Knowledge
- demonstrate knowledge of big data management, predictive modeling using machine learning/statistical methods, and model validation and evaluation
- demonstrate knowledge of analytics project requirements, data acquisition and visualization, and business communication/presentation
Skills :
-
demonstrate the ability to convert client’s business (or problem domain) into analytics project requirements
- demonstrate the ability to collect data from social media and corporate databases, to assess data quality assessment, and provide analysis in terms of exploratory data analysis and data visualization
- demonstrate the ability to clean and transform raw data sets for further data analytics processes
- demonstrate the ability to use various machine learning algorithms (e.g., hierarchical clustering, association) & statistical modeling techniques (e.g., regression, classification) to the data, including feature engineering and parameter optimization
- demonstrate the ability to use proper model validation (e.g., cross validation) and evaluation methods and performance metrics (e.g., prediction accuracy)
- demonstrate the ability to interpret model outputs, develop managerial and technical implications, and express oneself clearly, accurately, and professionally in both oral and written form
Students will be required to complete 30 hours of coursework: 21 hours of required and 9 hours of electives (Data Science track or Applied Analytics track).
Career Outcomes:
Graduates of the data analytics master’s program may enjoy careers as a:
- data analyst
- business intelligence analyst
- market research analyst
- analytics/management consultant
- operations analyst
- human resources analyst
- product analyst
- predictive analyst
- quantitative analyst
- data scientist
- data engineer
- data visualization specialist
Important Dates
Event | Application Date |
---|---|
Fall Application Deadline For 2024 Intake | |
Tuition Fees
Year | 1st Year Fees |
---|---|
Tuition Fees | $11508 (USD 11508) |
Other Expenses
Head | Avg Cost Per Year |
---|---|
Books and supply | $452 (USD 452) |
Total Cost | $452 (USD 452) |
Course Guides
Masters (MS) in USA: Colleges, Courses, Deadlines, Eligibility & Fees
Masters of Science in Data Analytics in USA: Universities, Admission, Cost, & Benefits
MS in Data Science in USA: Top Universities, Eligibility, Fees, Scholarships, Scope
Scholarship Grants & Financial Aids
Name | Scholarship Per Student | Level of Study | Type | |
---|---|---|---|---|
Joint Japan/World Bank Graduate Scholarship Program | Scholarship per studentVariable Amount | Level Of StudyMaster | TypeMerit-Based | |
Bharat Petroleum Scholarship 2020 | Scholarship per studentVariable Amount | Level Of StudyMaster | TypeMerit-Based | |
YouAreWelcomeHere Scholarships | Scholarship per studentVariable Amount | Level Of StudyApprenticeship | TypeTuition-Fee-Waiver | |
Innovation in Education Scholarship - La Tutors 123 | Scholarship per student$ 500/Yr$500 | Level Of StudyBachelor | TypeMerit-Based | |
(ISC)² Women’s Cybersecurity Scholarships | Scholarship per studentVariable Amount | Level Of StudyBachelor | TypeMerit-Based | |
Comindware Scholarship | Scholarship per student$ 4,000/Yr$4,000 | Level Of StudyApprenticeship | TypeMerit-Based |
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