Masters in Data Analytics (Big Data Systems)

Overview

Penn State Great Valley now offers a specialized program in Big Data Systems, designed to equip students with advanced skills to collect, store, manage, and analyze large-scale datasets across diverse industries. This program emphasizes a deep understanding of data infrastructure, distributed systems, database management, and cloud computing to prepare students for the demands of big data environments. With a foundation in computer science, software engineering, and machine learning, the curriculum balances theory with practical applications tailored for large-scale data handling and processing.

Students in the Big Data Systems program will have the opportunity to work on real-world projects in partnership with local companies and specialized research groups, such as the Insights Lab, Do iT Lab, and the Smart Systems Research Group. These collaborations provide students with valuable experience in big data projects, enhancing job prospects and networking opportunities within the industry. The program offers flexible scheduling options for both part-time and full-time students and small class sizes to promote meaningful engagement with experienced faculty and peers.

Joining the program means becoming part of Penn State’s vast alumni network, connecting students to a global community of professionals in data-driven fields. The program’s STEM designation also offers international students up to 36 months of Optional Practical Training (OPT) in the U.S., allowing them to gain extended work experience. Additionally, Career Management Services provide resources and networking support, helping students advance in their careers.

The 30-credit Big Data Systems program includes 18 core credits covering fundamental and advanced topics in big data management, 9 elective credits to specialize in areas of interest, and a 3-credit capstone project that consolidates learned concepts into a comprehensive, hands-on project. Courses are available in flexible formats, including hybrid (combining in-person and online), fully online, and fully in-person to accommodate international student requirements. This robust curriculum and flexible structure make the Big Data Systems program at Penn State Great Valley an ideal choice for those looking to excel in big data careers.

STAT 500: Applied Statistics (3 credits)
IE 575: Foundations of Predictive Analytics (3 credits)
DAAN 545: Data Mining (3 credits)
DAAN 822: Data Collection and Cleaning (3 credits)
DAAN 825: Large-Scale Database and Warehouse (3 credits)
DAAN 826: Large-Scale Databases for Real-Time Analytics (3 credits)
DAAN 888: Design & Implementation of Analytic Systems (3 credit capstone)

9 Credits of Electives (Choose 3 courses from the following list)
A-I 570: Deep Learning
A-I 572: Reinforcement Learning
A-I 574: Natural Language Processing
A-I 596: Individual Studies
A-I 801: Foundations of Artificial Intelligence
A-I 804: Ethics of Artificial Intelligence
A-I 879: Machine Vision
DAAN 846: Network and Predictive Analytics for Socio-Technical Systems
DAAN 871: Data Visualization
DAAN 881: Data-Driven Decision Making
DAAN 862: Analytics Programming in Python
DAAN 897: Enterprise Analytics Strategies
INSC 521: Database Design Concepts
SWENG 805: Software Project Management
STAT 501: Regression Methods (World Campus Program Only)
STAT 510: Applied Time Series Analysis (World Campus Program Only)