Leading to a Master of Science  Degree in Data Science

Our society is producing an unprecedented amount of data through media outlets, research, and most of our online presence. The tools to analyze and infer from these data are also developing at an accelerated rate. Companies and researchers in a diverse range of fields, including biomedical sciences, financial services, and marketing, are seeking experts to capitalize on the data revolution. The goal of the Master of Science in Data Science program is to enable students to become professional data scientists with the computational skills demanded by the labor market. This accelerated program is taught by interdisciplinary faculty with both academic and industrial expertise and offers flexible delivery options (online and part-time).

Program Educational Objectives

The program educational outcomes for the Master of Science in Data Science that align with the listed graduate student learning outcomes developed by the Office of Institutional Effectiveness are as follows: 

• Develop computational programming abilities to represent and explore data
• Apply statistical data analysis techniques and quantitative modelling to solve data science tasks
• Apply data munging/management principles to extract, load, process, and transform real-world data
• Be aware of ethical consequences of data-informed decision making
• Communicate data findings effectively to an audience, in oral, visual, and/or in written formats

Student  Outcomes

Wentworth published the following graduate student learning outcomes developed by the Office of Institutional Effectiveness in The Wentworth Model. Our graduate students will be able to demonstrate their mastery of these skills through the coursework required in the programs. The mapping of the Learning Outcomes to coursework will be as follows:

• Core Knowledge: advanced knowledge in a specialized area consistent with the focus of their graduate program, including critical thinking and problem-solving.
• Scholarly Communication: advanced proficiency in written and oral communication, appropriate to purpose and audience.
• Professionalism: advanced intellectual and organizational skills of professional practice, including ethical conduct.
• Research Methods and Analysis: quantitative and qualitative skills in the use of data gathering methods and analytical techniques used in typical research that is consistent with the focus of their graduate program.

Total credits for degree: 33 credits 

1-Year Option

*Data Science Electives are maintained by the School of Computing and Data Science  

2-Year Option

3-Year Option