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

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

Location: PCF tent 2

What to Expect

  • We have 9 projects in the Spring 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.

Deadline:

The Course Application and Project Preference Form is due on Wednesday, January 11 at 11:59 pm.

Questions?

Come to the first day of class on Monday, January 9 at 4:00pm. 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) >