Overview
Learn how to make informed, data-driven business decisions with Penn State's 30-credit online Master of Professional Studies in Data Analytics - Business Analytics at Pennsylvania State University. As a student in this data analytics degree program, you can acquire the business intelligence training needed to work in positions such as business analyst, analytic system designer, or data scientist. Learn how to apply big data analytics, data mining techniques, and predictive analytics to meet your organization’s business objectives and leverage competitive advantage.
The focus of the business analytics degree curriculum is to explore and analyze big data to support data-driven business decisions through the complete spectrum of analytics activities: descriptive (what happened), diagnostic (why it happened), predictive (what will happen), and prescriptive (what should happen). In addition to learning how to use optimization and forecasting techniques, you can take data management courses, and learn about data mining for business intelligence.
Careers
- You can gain a practical skill set to perform tasks in various areas of business, such as marketing, supply chains, operations, forensics, and risk.
Programme Structure
Courses include:
- Predictive Analytics for Business
- Analytics Programming in Python Implementing Analytics for Business
- Technical Project Management
- Applied Time Series Analysis
- Principles of Demography
- Data Collection and Cleaning
- Data, GIS, and Applied Demography
- Business Strategies for Data Analytics
Key information
Duration
- Part-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
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- Starting
- Apply before
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Language
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Credits
Delivered
Campus Location
- University Park, United States
Disciplines
Business Intelligence Data Analytics View 208 other Masters in Business Intelligence in United StatesWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- A baccalaureate degree from a regionally accredited U.S. institution or a tertiary (postsecondary) degree that is deemed comparable to a four-year bachelor's degree from a regionally accredited U.S. institution. Official transcripts from each institution attended
- GPA and Test Scores — Postsecondary (undergraduate), junior/senior (last two years) GPA of 3.0 or above on a 4.0 scale is required.
- GMAT or GRE
- English Proficiency
- Statement of Purpose — You should submit a personal statement not to exceed two single-spaced pages, which should describe your specific career goals and objectives, prior experience relevant to the decision to pursue an advanced degree, and other information that may be useful to the admissions committee. Upload to the online application.
- Vita or Résumé — A listing of your professional experience. Upload to the online application.
Tuition Fees
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International Applies to you
Applies to youNon-residents25610 USD / year≈ 25610 USD / year - Out-of-State25610 USD / year≈ 25610 USD / year
-
Domestic
Applies to youIn-State25610 USD / year≈ 25610 USD / year
Additional Details
1-4 years
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Analytics - Business Analytics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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