About Online Learning at Wentworth:
Online learning for graduate students at Wentworth Institute of Technology provides a flexible and accessible educational experience, allowing students to engage with coursework, faculty, and peers from anywhere in the world. This model leverages a digital platform to deliver high-quality collaborative, faculty-led opportunities, accommodating those who need to balance their studies with other professional or personal commitments.
Online Asynchronous Learning
Asynchronous online learning for graduate students at Wentworth Institute of Technology offers a high degree of flexibility, allowing students to access course materials, lectures, and assignments at any time that suits their schedule. This model of learning, which does not require real-time interaction, enables students to balance their education with other commitments, while still benefiting from the institute's rigorous academic standards and resources.
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Learn by Doing
Hands-on, project-based learning opportunities will give you the skills and knowledge you need to derive data-driven insights. In our Data Science master's program, you will develop computational programming abilities to represent and explore data. Learn how to make the most of statistical data analysis techniques and quantitative modeling and get hands-on experience extracting, loading, process and transforming real-world data.
Top off your data science master's with a capstone project, integrating what you’ve learned and the skills you’ve developed to solve real-world challenges.
Flexible and Convenient Courses
Offered primarily online (with the option to take some classes on campus), the MS, Data Science draws on several disciplines to provide a well-rounded, flexible education that can be completed in just 1 year. Electives from a cross-section of disciplines and schools will be offered including Applied Mathematics, Computer Science & Networking, Humanities & Social Sciences, Management and Sciences. Classes are offered online
A bachelor’s degree in a STEM field is required for admission to the master's in Data Science. For those holding a bachelor’s degree in a non-STEM field, visit our Master of Science in Business Analytics.
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Data Science in the World
- 2X growth in monthly employer demand for all master’s-level data science professionals, 2017-2020
- 21-28% projected employment growth in top occupations related to the Master of Science in Data Science
Top Job Titles
- Software Engineers
- Data Scientists
- Research Analyst
- Data Engineers
- Product Managers
A Resume that Speaks for Itself
- Data Science
- Python
- Big Data
- SQL
- Machine Learning
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Wentworth Institute of Technology is accredited by the New England Commission of Higher Education (formerly the Commission on Institutions of Higher Education of the New England Association of Schools and Colleges, Inc.).
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The Master of Science in Data Science is 33 credits. Students work with their advisor to create a course plan that includes all required courses and a selection of electives to fulfill the 33 credits.
View Course Catalog for program requirements below.
On This PageTotal credits for degree: 33 credits
1-Year Option
Plan of Study Grid Year One Fall Semester Credits DATA6000 APPLIED STATISTICS FOR RESEARCH 3 DATA6100 DATA VISUALIZATION 3 DATA6150 DATA SCIENCE FOUNDATIONS 3 Credits 9 Spring Semester DATA6200 DATA MANAGEMENT 3 DATA6250 MACHINE LEARNING FOR DATA SCIENCE 3 DATA6900 CAPSTONE I 3 Data Science Elective 3 Credits 12 Summer Semester DATA6950 CAPSTONE II 3 Data Science Elective 3 Data Science Elective 3 Data Science Elective 3 Credits 12 Total Credits 33 *Data Science Electives are maintained by the School of Computing and Data Science
2-Year Option
Plan of Study Grid Year One Fall Semester Credits DATA6000 APPLIED STATISTICS FOR RESEARCH 3 DATA6100 DATA VISUALIZATION 3 DATA6150 DATA SCIENCE FOUNDATIONS 3 Credits 9 Spring Semester DATA6200 DATA MANAGEMENT 3 DATA6250 MACHINE LEARNING FOR DATA SCIENCE 3 Data Science Elective 3 Credits 9 Year Two Fall Semester DATA6900 CAPSTONE I 3 Data Science Elective 3 Data Science Elective 3 Credits 9 Spring Semester DATA6950 CAPSTONE II 3 Data Science Elective 3 Credits 6 Total Credits 33 3-Year Option
Plan of Study Grid Year One Fall Semester Credits COMP5900 PROGRAMMING FUNDAMENTALS 6 MATH5200 METHODS OF CALCULUS 4 Credits 10 Spring Semester COMP5925 DATA STRUCTURES & ALGORITHMS 6 MATH5750 APPLIED STATISTICS 4 Credits 10 Year Two Fall Semester DATA6000 APPLIED STATISTICS FOR RESEARCH 3 DATA6100 DATA VISUALIZATION 3 DATA6150 DATA SCIENCE FOUNDATIONS 3 Credits 9 Spring Semester DATA6200 DATA MANAGEMENT 3 DATA6250 MACHINE LEARNING FOR DATA SCIENCE 3 Data Science Elective 3 Credits 9 Year Three Fall Semester DATA6900 CAPSTONE I 3 Data Science Elective 3 Data Science Elective 3 Credits 9 Spring Semester DATA6950 CAPSTONE II 3 Data Science Elective 3 Credits 6 Total Credits 53
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