DS 795

Data Science Project Design

Loyola University Maryland · UGRD · Fall 2026

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Catalog description

Students must pursue an independent or small group research project that utilizes the data science methods acquired during the program to address a real problem. This one-credit design course requires that students identify a suitable project, including the data to be used, and the questions asked of the data. Depending upon a project's complexity, students work either individually or in small, approved teams. The problem statement and the data stem from real-world situations similar to those that students might encounter within industry, government, non-profit, or academic research. The problem is usually specified by an industry, governmental, or non-profit sponsor with the data sets provided by that sponsor. Academic and governmental research groups may also propose projects. Each project team is supervised by the course director (in some cases, with a relevant faculty advisor) and advised by the project coach assigned from the academic, governmental, or industry sponsor, generally representing the organization that supplied the data. A component of the design is the consideration of any ethical issues raised by the project. As such, the need for ethical actions with respect to data science is also studied. The project design is reviewed by the course director and either the program board or, in the case of confidential data, by the course director after a confidentially agreement is signed, and a group internal to the organization. The project design is reviewed by the course director and either the program board or, in the case of confidential data, by the course director after a confidentiality agreement is signed, and a group internal to the organization.

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Current meeting, instructor, credit, and enrollment details

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W02

16 openSeats: 4/20 seats Last recorded: Aug 13, 2026, 3:35 PM
Class #105772-DS-795-W02Fall 2026UGRD1 credits
16 available4 enrolled20 capacity0 waitlist
Days & times
Th · 6:30 – 9:00 PM
Meeting dates
Aug 31 – Dec 17
Location
Synchronous SYN
Instructor
Lee, Dr Bu Hyoung

Section notes

*Restricted to Data Science Business Analytics specialization.

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