Advanced Courses:
DSCI 400, Data Science Capstone Lab
Description: In this course, students work on teams to complete a team-defined data science project.
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Intended for DSCI minor students and non-seniors who have some background in data science and want to learn how to design a data science pipeline to answer questions and tell a story through data.
Course Meeting: 4:00 PM - 5:20 PM on Mondays & Wednesdays
Location: Online & in-person options
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.
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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.
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Counts as a DSCI minor capstone, Stat senior capstone, MEE capstone, and as an elective for ELEC, COMP, STAT, and CAAM undergrad and grad students.
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We anticipate having about 15 projects in the fall. These are industry-sponsored (finance, energy, healthcare, tech), community impact projects (government and non-profits), and research projects (working with Rice or medical center faculty).
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Students can specify project preferences through the course application process at the beginning of fall semester.
Course Meeting: 5:00 PM - 6:30 PM on Mondays & Wednesdays
Location: Online & in-person options
DSCI 415 / 515, Data Science Consulting
Description: Students in this course advise clients from Rice and beyond in a data science consulting clinic, learn best practices in consulting, and gain exposure to a variety of real data science problems.
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Intended for undergrad and grad students (especially PhD students) with advanced coursework and expertise in some areas of data science.
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Great exposure to practical and applied data science problems with many opportunities for collaborative research projects or further consulting.
Course Meeting: 1:30 PM - 4:30 PM on Mondays
Location: Online & in-person options
Intro-Level Courses:
DSCI 101: Introduction to Data Science (NEW)
Description: Students learn the fundamentals of data science and Python programming while working on teams to solve real data science challenges, design a data science pipeline, and derive and communicate valuable insights from data.
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Intended for undergrads and no prior statistics, math, or programming experience is required.
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Gain fluency in basic programming skills in Python with a focus on statistical modeling and machine learning.
Course Meeting: 9:00 AM - 10:00 AM on Mondays, Wednesdays and Fridays
Location: Online
How to Apply
Students may register for these courses, but your spot in the class is not guaranteed until you complete a course application the first week of class in August 2020 and are placed onto a team. Students who do not meet the course pre-requisites and who did not get placed on teams will be asked to drop the class.
Questions?
Join the Data Science Welcome Party to learn more about Fall 2020 courses, programs and events!