We’ll connect you with an advisor to help explore your academic and professional opportunities with our MS in Data Science.
Pace University’s Master's degree in Science in Data Science teaches students how to apply data science methods to different fields of interest. As a student, you’ll have the opportunity to conduct original research across a broad range of topics, working directly with expert faculty and industry professionals. You’ll gain the skills needed to use analytical programming languages, data science tools and applications, and, importantly, you’ll learn how to create knowledge from data. Visit our curriculum page to learn more.
This STEM-designated program delivers:
You have the option 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.
During your studies in the program, you’ll become familiar with both the underlying theory and practical techniques necessary to succeed in data science. Moreover, you’ll learn the ethical issues relevant to the design and execution of research studies. The program also integrates a research seminar so you will be aware of the latest advances in data science.
IS THE MS IN DATA SCIENCE THE RIGHT PROGRAM FOR ME?
This program is a specialized program geared specifically to those who are interested in data science. 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's 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. The program prepares students for careers as data scientists in multiple fields including financial services, technology, consumer products, retail, healthcare, telecommunications, aerospace, consulting, and government. Throughout the program, students will work on projects, individually and in teams, as part of their ordinary course requirements. Moreover, students will work with a variety of programming languages and tools including Python, R, TensorFlow, Spark, Hadoop, and MapReduce.
Students have access through coursework, internships and recruitment to Seidenberg’s extensive partnership and alumni network at leading companies including:
“In my current role at Northwell Health, because I learned about model building at Pace University, I was able to pitch business problems that revolved around predicting modeling that I am currently working on. I was able to provide sound arguments to why we need this model, how it will affect the business approach, and how the company can benefit from it. These models has brought a whole new level of analytics to my department at Northwell Health.”
– Mudassir Ali, MS in Data Science, Class of 2022
Pace University's Seidenberg School has a vision to prepare students for careers that don’t yet exist, using tools that have not yet been invented. The faculty and staff of the Seidenberg School are deeply committed to educating the next generation of leaders in the field of information technology, in all its many disciplines. At a time when opportunities within this dynamic field are growing, a degree from the Seidenberg School will maximize your potential for success in whatever career you decide to pursue.