Courses | Capstone Projects | Experiential Learning

D2K Academics

D2K Capstone Program: DSCI 435 / 535 & COMP 449 / 549 - Applied Machine Learning & Data Science Projects

Description: In this course, students will work on interdisciplinary teams to solve a real-world data science project with clients from a variety of industries and disciplines.

Instructors: Dr. Xinjie Lan, Dr. Arko Barman, and Dr. Su Chen

Course Meeting: 4:00 PM - 5:30 PM on Mondays & Wednesdays

Location: OES 130 (O’Connor Building for Engineering and Science)

What to Expect

  • We have projects covering a wide variety of focus areas including data visualization, data exploration, computer vision, medical informatics, computer vision, and natural language processing.

  • Projects are industry-sponsored (finance, energy, healthcare, tech), community impact projects (government and non-profits), and research projects (working with Rice or medical center faculty).

Who Should Apply

  • Intended for seniors (some advanced juniors), professional masters, and beginning PhD students who have advanced coursework and expertise in some area of data science and want to complete a challenging, real-world data science project.

  • Required course for the Data Science minor capstone, MDS capstone, and MECE data science track capstone.

  • Elective course for STAT senior capstone, CMOR senior capstone, STAT and CMOR grad students, COMP undergrad and grad students, and other students with advanced data science experience interested in conducting a real-world or research project.

  • In the course application, you can specify your project preferences which are used to assign projects and form teams.


The Course Application and Project Preference Form is due on Monday, January 8, 2024 at 11:59pm (Central).


Come to the first day of class on Monday January 8, 2024 at 4:00pm (Central). D2K faculty will answer any questions you might have.

Intro-Level D2K Course

Learn more about DSCI 101: Introduction to Data Science >

Interested in pursuing minor in Data Science?

View requirements for Data Science Minor (DS Minor) >