We’ll connect you with an advisor to help explore your academic and professional opportunities with our MS in Data Science.
The global disruption caused by COVID-19 has made clear that now more than ever we depend on technologists to keep the world spinning, even if we’re doing it all from home. Jobs in technology have continued to get posted throughout the pandemic, and companies are finding ways to offer internships from home. It’s a good time to get a master’s degree in technology, and data science is a field that has proved its utility during the coronavirus crisis. Collecting and analyzing data has been—and will continue to be—crucial to the prediction of the spread of COVID-19 as communities plan their responses.
Pace University’s Master of 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. Knowledge based on facts is essential to successful decision-making in business, government, and even as individuals.
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, the sciences, consulting, and government. Throughout the degree 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.
Graduates may choose to work as data scientists in any field where the analysis and interpretation of data is critical. The program provides students with knowledge of data analytics, complex modeling techniques, data mining, and systems.
Students have access through coursework, internships and recruitment to Seidenberg’s extensive partnership and alumni network at leading companies including:
Pace's faculty are dedicated to providing you with a high tech, high touch education, meaning you will undertake hands-on projects that give you real skills and experience to share with future employers.
– Dr. Jonathan Hill, Dean of the Seidenberg School of Computer Science and Information Systems
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.