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: Arko Barman and Xinjie Lan

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

Location: PCF tent 3

What to Expect

  • We have 12 projects in the fall 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, CAAM senior capstone, STAT and CAAM 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.

Deadline:

The Course Application and Project Preference Form is due on Tuesday, August. 23 at 12 pm noon.

Questions?

Come to the first day of class on Monday, August 22 at 4 pm. D2K faculty will answer any questions you might have.


Intro-Level D2K Course:

DSCI 101: Introduction to Data Science

Click here to learn more >


Interested in pursuing minor in Data Science?

View requirements for Data Science Minor (DS Minor) >