Overview
Learn to design, implement, and apply data management techniques with the online Master of Professional Studies in Data Analytics degree at Pennsylvania State University. This fully online program helps professionals acquire the technical expertise and analytical skills to help them uncover and leverage large data sets to efficiently make informed decisions that may increase productivity and profits, expand organizational offerings, better define competitive advantage, and more.
Learning outcomes
- learn how to frame analytics problems, identify data sources, determine analytics methodologies, and design and deploy analytics systems at scale
- demonstrate fundamental understanding of data mining principles, including supervised and unsupervised machine learning and statistical modeling
- gain skills to effectively communicate data-driven findings to executive stakeholders
- obtain practical, hand-on experience with contemporary "big data" platforms and tools, including R, Python and its libraries, Tableau, SQL and NoSQL databases, Hadoop, and the Apache suite
- apply data science and analytics to real-world data sets across domains
Programme Structure
Courses include:
- Foundations of Predictive Analytics
- Data Mining
- Applied Statistics
- Database Design Concepts
- Data, GIS, and Applied Demography
- Demographic Techniques
- Enterprise Analytics Strategies
- Large-Scale Databases for Real-Time Analytics
- Analytics Programming in Python
Key information
Start dates & application deadlines
- Starting
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Language
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- 4.9/5 student rating
Credits
Delivered
Campus Location
- University Park, United States
Disciplines
Data Analytics View 213 other Masters in Data Analytics 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.
- GRE/GMAT
- English Proficiency
- Reference
- Statement of Purpose — In one page, 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 your one-page statement 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
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Domestic
Applies to youIn-State25610 USD / year≈ 25610 USD / year
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data 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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