Program Summary
The 100% online MS in Data Science was designed by the groundbreaking researchers in Pace’s Seidenberg School of Computer Science and Information Systems. In this program, you’ll prepare to start or advance your career in fueling innovation with advanced quantitative methods and best practices for data governance. Our flexible program makes it possible to take courses either full or part-time on a schedule that works for you. Part-time students can finish their master’s degree in two years while working, and full-time students can complete the program in a little over one year.
The Seidenberg School has decades of experience in offering fully online programs, dating back to 1999. Our data science curriculum channels that expertise to delve into both quantitative theory and practical applications. In seven required courses and three electives, you’ll explore best practices for managing, structuring, and finding valuable insights in data. In addition, you’ll gain hands-on experience with data mining techniques and writing algorithms.
The master’s in data science benefits students by expanding their knowledge of:
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- Python Programming
- Machine Learning
- Intro to Data Science
- Scalable Databases
- Algorithms for Data Science
- Online Social Network Analysis
Focus on the topics that suit your career path by choosing electives in computer science as well as information systems, business analytics, and natural sciences. In the project-based Analytics Capstone, you can solve a real-world problem that interests you by conducting quantitative research and applying the data science methods you’ve learned in the program.
This program is STEM designated, which means you will be trained in areas of technology that are in high demand with United States employers.
It is preferable for students to have a background in computer science, mathematics, or statistics, and a desire to combine the skills of these fields. However, students with other bachelor degrees will be considered for the MS in Data Science based on their previous academic performance and experience.
Students must be proficient in calculus and linear algebra, and also have some programming and database experience.
Interested in learning more? Pace University hosts a virtual open house (VOH) periodically throughout the year. View the schedule and register for an upcoming VOH.