Master of Science (MS)
This program is STEM designated, which means you will be trained in areas of technology that are in high demand with United States employers.
Become a data science specialist
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 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.
- Master of Science in Data Science
- 30 credits
- 2 years
- Machine Learning
- Python Programming
- Intro to Data Science
- Scalable Databases
- Algorithms for Data Science
- Online Social Network Analysis
- Data Scientists
- Data Analyst
- Quantitative Analyst
- Data Engineer
- Machine Learning Engineer