Overview

Penn State Great Valley offers comprehensive graduate Data Analytics programs designed to equip students with the skills to collect, classify, analyze, and model data across various domains. These skills are grounded in statistics, computer science, machine learning, and software engineering. The curriculum provides two distinct pathways: the Masters in Data Analytics, which emphasizes practical application, and the Master of Science (MS) in Data Analytics, aimed at those interested in a research-focused approach. Both programs allow students to engage in real-world projects through collaborations with local companies, the Insights Lab, Do iT Lab, and the Smart Systems Research Group, offering flexible pacing to accommodate both part-time and full-time students. Joining these programs also means becoming part of the vast Penn State alumni network, benefiting from instruction by world-class faculty and industry experts. Notably, the GRE is not required for admission into the MPS program.

The programs offer numerous advantages, including the opportunity to partner with alumni and local employers on projects relevant to today’s industry challenges, thereby enhancing job prospects and networking opportunities. Students will experience a learning environment characterized by small class sizes, fostering close interactions with faculty and peers who are professionals and managers in various sectors. Additionally, the programs’ STEM designation allows for up to 36 months of Optional Practical Training (OPT), providing an extended period to gain practical experience in the U.S. Career Management Services further supports students and graduates with a range of programs, resources, and networking opportunities, ensuring a comprehensive educational experience that extends beyond the classroom.

The Master of Science in Data Analytics program is designed to equip students with advanced knowledge and skills in data analytics, requiring a total of 30 credits for graduation. This includes 15 core credits, 9 elective credits, and a significant focus on research through 6 thesis credits. The program offers flexible course delivery, with seven-week courses available in both a hybrid format (combining in-person and online instruction) and a fully online option. To accommodate international students, fully in-person courses are also offered each semester to meet visa requirements.

The thesis component, a key part of the program, spans two terms and requires students to complete CITI training prior to beginning their research. Each student is guided by an assigned faculty adviser throughout their research journey. To successfully graduate, the thesis must be accepted by a committee, the head of the graduate program, and the chancellor, ensuring a high standard of academic excellence. This program not only provides a comprehensive education in data analytics but also a deeply engaging research experience, preparing students for advanced roles in the field.