Master of Science in Applied Data Science
Developed by the School of Information Studies in conjunction with the Martin J. Whitman School of Management, the M.S. in Applied Data Science draws insights from both the field of information studies and the field of management to help students effectively apply analytical concepts to gain insight from data. The interdisciplinary curriculum places a strong emphasis on driving strategy and decisions using data capture, management, analysis and communication.
The M.S. in Applied Data Science prepares students to apply data science techniques in a broad range of contexts. Students will learn to:
- Understand major practice areas in data science
- Collect, organize and manage data
- Identify patterns in data using visualization, statistical analysis and data mining
- Develop actionable insight based on data
- Communicate data analytics and findings to people across a broad range of industries
- Synthesize and understand data science ethics and privacy
The M.S. in Applied Data Science curriculum is 36 credits and can be completed in 18 months. Designed to provide students with critical-thinking and problem-solving skills, the curriculum is structured as follows:
Common Core Courses
Common core courses build foundational knowledge and skills in preparation for more advanced data application and techniques.
Analytics Application Core Courses
Analytics application core courses provide students with an opportunity to choose one or two specializations so they can develop their preferred area of expertise. Students will emerge with a deeper understanding of how to practically apply data science techniques in a variety of contexts.
Elective coursework allows students to develop advanced skills in another area of interest or within their specialization.
Students choose specific projects throughout the program that best showcase their particular skills. Completed projects are included in the final portfolio and submitted to a panel of faculty for review in the students’ final term.
Students can attend in-person immersion events to meet their peers and instructors, network with data science leaders and learn from other professional experiences.
Now is the time to earn your master’s in data science online.