Penn State Great Valley School of Graduate Professional Studies
Master of Science in Data Analytics
Malvern, USA
DURATION
36 Months
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
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TUITION FEES
EUR 1,915 / per credit *
STUDY FORMAT
On-Campus
* Out-of-state Residents and Students Holding Visas| Pennsylvania Residents: $1,171 per credit hour
Introduction
Learn to collect, classify, analyze, and model data across domains using statistics, computer science, machine learning, and software engineering with Penn State Great Valley's graduate Data Analytics programs.
We offer two distinct options: the Master of Professional Studies in Data Analytics focuses on practical application; the Master of Science in Data Analytics is a research-focused program.
With our graduate Data Analytics programs, you can:
- Work with local companies and faculty on research projects through the Insights Lab, Do iT Lab, and Smart Systems Research Group.
- Attend at your own pace, completing on a part- or full-time basis.
- Become a part of the more than 750,000 Penn State alumni across the world.
- Learn from world-class faculty and industry experts.
- Both data analytics programs are STEM-designatedSTEM-designated.
Program Advantages
- Partner with alumni and local employers on relevant projects while fostering industry connections, networking, and job opportunities.
- Navigate problems that span a variety of industries.
- Immerse yourself in small classes and develop meaningful relationships with faculty and classmates who are business professionals and managers in the private and public sectors.
- Take advantage of Career Management Services, which offers a variety of programs, resources, and networking opportunities for students and graduates.
- Benefit from a STEM designated program, allowing 36 months total of Optional Practical Training (OPT).
In U.S. News & World Report’s 2023 "Best Online Programs," Penn State Great Valley is ranked:
- #3 in Master’s in Engineering Programs
- #10 (tie) in Master’s in Computer Information Technology programs
In U.S. News & World Report’s 2023 "Best Online Programs for Veterans," Penn State Great Valley is ranked:
- #1 in Master’s in Engineering
Flexibility
- Courses are offered either in an in-person/online hybrid format or fully online.
- Fully in-person courses are available each semester to comply with visa requirements.
- Ability to simultaneously pursue another degree as part of the concurrent degree program.
Gallery
Admissions
Scholarships and Funding
There are a variety of scholarships available to half-time and full-time students at Penn State Great Valley who meet individual scholarship criteria.
Scholarships for New Program Applicants
- Admission Scholarship for students enrolled in at least six credits per first two semesters
- Chancellor’s Scholarship for students enrolled in at least 12 credits per first two semesters
Scholarships for Enrolled Students
- Merit scholarships
- Need-based scholarships
Curriculum
Courses for the Master of Professional Studies in Data Analytics and Master of Science in Data Analytics programs are hyperlinked below to the University Bulletin. Please refer to the prerequisites mentioned on this page as those listed on the University Bulletin may differ from Penn State Great Valley. All courses offered are three credits unless otherwise indicated.
- DAAN 501 - Research Methodology and Problem Framing
- DAAN 600 - Thesis Research (6 credits)
- DAAN 822 - Data Collection and Cleaning
- DAAN 825 - Large-Scale Database and Warehouse
- DAAN 862 - Analytics Programming in Python
- DAAN 871 - Data Visualization for Analytics
- DAAN 881 - Data-Driven Decision Making
- DAAN 888 - Design and Implementation of Analytics Systems
- DAAN 897 - Deep Learning
- DAAN 897 - Enterprise Analytics Strategies
- DAAN 897 - Foundations of Marketing Analytics
- I E 575 - Foundations of Predictive Analytics
- IN SC 497 - Special Topics: Business Intelligence
- IN SC 521 - Database Design Concepts
- IN SC 846 - Network and Predictive Analytics for Socio-Technical Systems
- IST 816 - Web and Internet Information Retrieval
- STAT 500 - Applied Statistics
- SWENG 541 - Advanced Database Design Concepts
- SWENG 545 - Data Mining
- SYSEN 505 - Technical Project Management
- SYSEN 530 - Systems Optimization
- SYSEN 536 - Decision and Risk Analysis in Engineering
The Master of Professional Studies in Data Analytics program requires 30 credits — 18 core credits, 9 elective credits, and 3 capstone credits.
- Seven-week courses are offered either in an in-person/online hybrid format or fully online.
- Fully in-person courses are available each semester to comply with visa requirements.
- Capstone course builds upon the theories, technology, and skills learned in previous coursework.
The Master of Science in Data Analytics program requires 30 credits — 15 core credits, 9 elective credits, and 6 thesis credits.
- Seven-week courses are offered either in an in-person/online hybrid format or fully online.
- Fully in-person courses are available each semester to comply with visa requirements.
- Thesis paper is taken over two terms, and requires the completion of CITI training
- You’ll work with an assigned faculty adviser for the course of your research.
- To graduate, your thesis must be accepted by a committee, the head of the graduate program, and the chancellor.
Program Outcome
Upon completion of the data analytics program, our graduates will:
- Be able to effectively communicate technical knowledge, including ideas, data analysis, findings, or decision justification in written formats in a manner appropriate to the audience.
- Be able to analyze large data sets to support data-driven decision-making.
- Demonstrate understanding of machine learning and statistical analysis techniques.
- Be able to discriminate between descriptive, diagnostic, predictive, and prescriptive analytics and the techniques used in each.
- Demonstrate their understanding of technologies used to develop, optimize, and deploy large-scale databases.
- Demonstrate knowledge of and ability to practice the professional standards of engineering and professional behavior.
Program Tuition Fee
Career Opportunities
According to the Bureau of Labor Statistics (BLS), employment of data scientists is projected to grow 36% from 2021 to 2031, much faster than the average for all occupations.
In the 2020-21 academic year, our students reported an average salary of $83,000.
Hiring Organizations
Our students and alumni have been hired and promoted at organizations such as:
- Amtrak
- Axtria
- Barclays
- Ernst & Young
- iLink
- Monsanto
- Oracle
- Pymoco
- SAP
- Teradata
- ZoomInfo
Job Titles
Alumni have reported holding the following positions:
- Business analyst
- Data analyst
- Data architects
- Data engineer
- Data modelers
- Data scientists
- Financial analyst
- Project manager
- Research analyst
- Senior Consultant