Curating, cleaning, and examining data. Using data to spot knowledge gaps, predict outcomes, and identify opportunities. Working across disciplines and sharing valuable insights with project stakeholders.
These are the hallmark skills of a today’s data professional—and you can expect to master each of them through from the residential M.S. in Data Science applied data science track.
If you don’t have a STEM background, consider taking Data Science Essentials: a self-paced package of online coursework that can help you prepare for the successful completion of the M.S. in Data Science degree.
The Applied Data Science Track focuses on foundational data science methods and is most suitable for students with computer science, statistics, or mathematics background.
You’ll be required to take:
In addition to completing your core requirements and a capstone project, you’ll choose to focus on one of four different domain areas:
A broad range of elective courses provide further opportunity to customize your degree.
Course electives include topics such as:
All data science course requirements are listed in the Luddy academic bulletin. To review your specific requirements, choose the bulletin that represents the year you started, or plan to start, your program.
If you wish to enroll in a course not listed in the academic bulletin, or outside of the Luddy School of Informatics, Computing, and Engineering, please contact us to request approval.
