Program Quick Facts
At a Glance
- STEM-Designated Program
- 100% Online
- Graduate in 2 Years, Part-Time
- 3 Opportunities to Start Per Year
- Bridge Courses Available
- No GRE/GMAT Required
- Required Credits: 30
- Cost Per Credit: $1,050
- Total Tuition: $31,500
- Next Start Date: September 8
- Application Deadline: August 25
To learn more about online Master of Science in Data Science, fill out the fields in this form to download a free brochure. If you have any questions at any time, please contact an admission advisor at (866) 843-7205.
Advanced Quantitative Skills for a Data-Driven Future
Around the world, the demand for data scientists continues to rise as organizations harness unprecedented technical capabilities to create, gather, store, and analyze quantitative information. If you’re interested in taking advantage of professional opportunities in the next generation of quantitative solutions, the online master’s in data science from Pace University can help you build the conceptual knowledge and practical skills you need.
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.
A Curriculum Designed for Quantitative Problem Solvers
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:
- Data research and analysis
- Machine learning
- Data visualization
- Database management
- Programming in R, Python, and SQL
- Data mining and knowledge discovery
- Probability and statistics
- Optimization methods
- Analytics algorithms
- Ethical issues in research studies
- Industry-standard tools including Spark, Hadoop, MapReduce, Matlab, and Weka
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.
Our data science master’s program has been STEM-designated, indicating a curriculum focused on science, technology, engineering, and math that can lead to rewarding career opportunities.
Visit our curriculum page to learn more.
Learn From Top Thinkers in the Field
In the MS in Data Science program, you’ll take courses from researchers who contribute to pioneering work in fields such as artificial intelligence, software development, cybersecurity, machine learning, robotics, and computer vision. Through recorded lectures and live interactions, our faculty members bring groundbreaking insights into the virtual classroom and ensure that students are ready to take on emerging challenges in the field. Located in New York City, the world’s greatest hub for international business, Pace also offers the chance to connect and collaborate with industry experts who have evolved the field of data science.
For more details, see our faculty page.
- Bachelor’s degree in any field, with proficiency in calculus, linear algebra, some knowledge of probability and statistics, and some experience in programming and databases*
- Minimum GPA of 3.0 preferred
*Students without the required background in programming and databases will be required to satisfy the prerequisite level of knowledge by completing online bridge courses in Database Management Systems and Python Programming once enrolled.
- Online application form
- Two letters of recommendation from professional or academic references
- Unofficial or official transcripts* from all institutions attended
- Personal statement
Pace University’s Seidenberg School of Computer Science and Information Systems will consider applicants who have earned or will earn a three year bachelor’s from Australia, Canada, Bangladesh, New Zealand, Pakistan, Bhutan, Nepal, South Africa, Sri Lanka, India, and European countries that are a part of the Bologna Process eligible for graduate admission to all degrees.
*Official transcripts are required upon acceptance.
For more details on admission requirements and the application process, visit our admission page.
What You Can Do With a Master’s in Data Science
As organizations strive to gain insights into their customers and supply chains or harness the latest advances in machine learning, they need highly skilled experts to collect, manage, and find meaning in their data. A Burning Glass analysis of findings from the US Bureau of Labor Statistics projected a 19% increase in data science jobs between 2020 and 2030, much faster than the average of 4% for all occupations. In fact, a McKinsey Global Institute report projected there could be a shortage of 250,000 data scientists in the US alone by 2024.
Job posting data shows that the average salary offered for data scientists with a master’s degree is $117,100, and salary premiums are associated with skills in data engineering, predictive modeling, and analytics software. The top employers for professionals in this field include technical service providers, finance and insurance companies, healthcare organizations, manufacturers, and the information sector. Online master’s in data science graduates develop the background in quantitative analysis and interpretation to succeed in any of these roles:
Data Science Careers
- Data Scientist
- Data Analyst
- Database Architect
- Quantitative Analyst
- Data Engineer
- Machine Learning Engineer
- Business Analyst
- Software Engineer
- Network Architect
Ranked among the best universities in the nation for promoting upward economic mobility, Pace is dedicated to helping students start or advance their careers in this burgeoning field. Our online students have access to the largest Career Services Department in the New York City metropolitan area and join our alumni family upon completing the program. A year after graduation, 97% of Seidenberg graduates are employed full time.
Since 1983, the Seidenberg School at Pace University has instilled students with in-demand problem-solving skills backed by cutting-edge research. Our online MS in data science degree can equip you to excel in a world where quantitative reasoning increasingly drives business decisions, policymaking, and technological breakthroughs.
See our About Pace page to learn more about the University.