At a Glance
- 100% online coursework
- STEM-designated by the US DHS
- Project-based analytics capstone
- Expert faculty in data science
- No GMAT/GRE required
Flexible options to build advanced quantitative skills
Designed by leading researchers at Pace Seidenberg School of Computer Science and Information Systems, our 100% online MS in Data Science equips professionals to solve complex technical problems in a rapidly evolving world.
STEM Curriculum for Data-Driven Decision Making
This STEM-designated program delivers:
- Advanced quantitative methods and best practices for data governance
- Coursework that includes analysis, visualization, and machine learning
- Competence in achieving organizational goals through data-driven approaches
- Hands-on experience with real-world projects
- Expertise to meet the growing demand for data scientist
Part-Time and Full-Time Options Available
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.
Along the way, you’ll work closely with Seidenberg School faculty, learning to develop vital insights through statistical programming, data management, and automation.
Get Started
Request
Information
To learn more about the 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 enrollment specialist at (914) 758-1080.
Complete the Degree in 10 Courses
Become proficient in industry-standard tools to support daily operations and long-term strategic planning.
Personalize Your Degree
Choose from elective courses in fields such as computer science, information systems, business analytics, and natural sciences.
In-Demand Data Science Skills
Add expertise in machine learning, data mining, predictive analytics, advanced data management tools, and programming languages.
Data Science Course Highlights
Applied Artificial Intelligence
A survey of current technologies and future trends in artificial intelligence, including issues related to search algorithms, robotics, expert systems, and more.
Python Programming
Covers Python fundamentals with an emphasis on data analytics libraries. Learn to clean data, perform exploratory analysis, and build predictive models.
Machine Learning
Explores key learning theories (PAC, ERM, SRM, MDL) and algorithms (linear models, gradient descent, SVM, kernel methods, trees), in addition to advanced topics such as clustering, dimensionality reduction, generative models, and feature selection.
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.
Virtual Learning with Real-World Perspective
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.
“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. Thus, being able to work on these models has brought a whole new level of analytics to my department at Northwell Health.”
Mudassir Ali, ’22 MS in Data Science
Data Scientist, Northwell Health
A Curriculum Designed for Quantitative Problem Solvers
The Seidenberg School has decades of experience offering fully online programs. Our data science curriculum channels that expertise to delve into both quantitative theory and practical applications.
Core Courses and Electives Tailored to Your Goals
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.
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 is STEM-designated, indicating a curriculum focused on science, technology, engineering, and math that can lead to rewarding career opportunities.
How Does a Data Science Degree Advance Your Career?
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.
Job posting data from the labor database Lightcast shows that the average salary offered for data scientists with a master’s degree is $140,200. Top skills employers request include machine learning, computer science, statistics, and the programming languages Python, SQL, and R.
36%
Employment of data scientists is projected to grow 36% from 2023 to 2033, according to the U.S. Bureau of Labor Statistics (BLS).
For more information about career options, read our detailed article about what you can do with a master’s in data science.
Admission Requirements
Applications are carefully reviewed by the Graduate Admission Committee utilizing a holistic approach. To apply, you should have:
- 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.
For more details on admission requirements and the application process, visit our admission page.
Frequently Asked Questions
The data science program was designed to be completed part-time in two years. See our curriculum page for the program structure. Students who choose to take courses full-time can complete the program in a little over one year.
You should be proficient in calculus and linear algebra and also have some knowledge of probability and statistics. You are also required to have some experience in computer programming and working with databases. If you don’t have the requisite experience, you must take our online bridge courses in database management systems and programming in Python before starting the online MS in Data Science curriculum. See the curriculum page for details.
There’s an enormous and growing need for data science specialists in financial services, technology, consumer products, consulting, retail, healthcare, telecommunications, aerospace, scientific research, and government. The U.S. Bureau of Labor Statistics projects 19% growth in data science roles between 2020 and 2030, much faster than the average rate of 4% for all occupations. Data science has topped LinkedIn’s list of Emerging Jobs multiple years in a row with 37% annual growth in related positions.
Our data science master’s program will help you build the knowledge and skills to excel in any role that involves collecting, analyzing, and interpreting quantitative information. Some possible roles for graduates include:
- Data Scientist
- Database Architect
- Data Engineer
- Machine Learning Engineer
- Business Analyst
- Software Engineer
- Network Architect
For more information, visit our article about what you can do with a master’s in data science.
For more information, visit the Pace Online MS in Data Science FAQ page.
