By earning an M.S. in Applied Data Science with a specialization in UX design, you’ll understand client-server application development and the ethical and professional management of informatics projects. Through your classes under the direction of our highly regarded faculty, gain competency in the application of human-computer interaction (HCI) theory and user-centered practices to user experience research and design.
The plan of study is 30 credit hours. It includes eight core courses, one specialization course, and one elective course. Transfer students may be able to transfer in approved graduate courses from an accredited institution.
F-1 students can only take one online course per semester. They must take a minimum of 8 credit hours per semester; the exception being in their final semester. These limitations apply to fall and spring semesters but not summer sessions.
Applied Data Science Core Courses (18 credits)
- DSCI-D 501 Introduction to Data Science Programming (was INFO-H 501)
- DSCI-D 308 Database Design (was INFO-I 308)
- DSCI-D 510 Statistics for Data Science (was INFO-H 510)
- DSCI-D 515 Statistical Learning (was INFO-H 515) (Prerequisite: Graduate Statistics course)
- DSCI-D 516 Cloud Computing for Data Science (was INFO-H 516) (Prerequisites: Graduate Database course)
- DSCI-D 518 Deep Learning Neural Networks (was INFO-H 518)
Students may test out of DSCI-D 308 Database Design (was INFO-I 308). Students do not receive credit toward their required 30 credit hours by testing out of a course. However, they may instead replace the course with an approved elective.
UX Design Core Courses (6 credits)
UX Design Specialization Course (Pick one, 3 credits)
- DSCI-D 517 Visualization Design, Analysis, and Evaluation (was INFO-H 517) (Prerequisite: Programming experience)
- INFO-H 561 Meaning and Form in HCI
- INFO-H 563 Psychology of HCI
- INFO-H 564 Prototyping Interactive Systems
Elective Courses (3 credits)
- INFO-B 505 Informatics Project Management
- DSCI-D 517 Visualization Design, Analysis, and Evaluation (was INFO-H 517) (Prerequisite: Programming experience)
- DSCI-D 519 Natural Language Processing with Deep Learning (was INFO-H 519)
- INFO-I 575 Informatics Research Design
- INFO-I 595 Professional Internship
- INFO-I 698 Research in Informatics (Independent Study)
- DSCI-D 502 Modeling Crisis (was INFO-P 502)
- NEWM-N 510 Web Database Development
- Other approved Applied Data Science electives