DSE Graduate Concentration (beta)


The Data Science & Engineering (DSE) Transcriptable Graduate Concentration is designed primarily for graduate students at the Ph.D. levels with an interest in data-intensive computing. Data science plays a major role in many areas of computational science and engineering (CSE) — the DSE Concentration is open to domain scientists working in this area.

This concentration requires students to complete 16 graduate credit hours spanning data science, from topics in mathematical foundations (MF), computational thinking (CT), statistical thinking (ST), as well as data management, description, and modeling (DX). Courses taken toward this concentration will count towards the student’s graduate degree if permitted by the curriculum of their major, and the concentration will be listed on their transcript upon graduation.

To fulfill the requirements of the graduate concentration, students will take courses selected from an established list of core courses, along with courses from a selection of elective courses that span a range of domain areas. Students may select any course in the list of electives, regardless of their enrolled degree program.

Additionally, understanding the ethical and societal implications of the application of data science is paramount, and CSE will integrate the latest topics to help educate future data scientists on appropriately developing and applying data science algorithms that impact society. To ensure that students in the Data Science & Engineering Graduate Concentration are exposed to current topics in this area and to highlight the how data science decisions can have real-world significance, CSE will (1) require that all DSE-seeking students attend at least one seminar on data science and social justice and (2) complete the self-paced Practical Data Ethics course developed by the UCSF Center for Applied Data Ethics. Students must affirm that they completed the course and will be required to report on their experience in order to receive the DSE Concentration. CSE will annually evaluate this requirement


The DSE graduate concentration is only available for students enrolled in participating graduate degree programs:

  • Aerospace Engineering, PhD
  • Agricultural & Biological Engineering, PhD
  • Bioengineering, PhD
  • Civil Engineering, PhD
  • Computer Science, PhD
  • Electrical & Computer Engineering, PhD
  • Industrial Engineering, PhD
  • Materials Science & Engineering, PhD
  • Mechanical Engineering, PhD
  • Nuclear, Plasma, & Radiological Engineering, PhD
  • Physics, PhD
  • Statistics, PhD

Enrollment Procedure

DSE graduate concentration will officially launch in Fall 2022. The enrollment procedure will be announced soon. Please sign up for CSE newsletter to receive updates.


Core Coursework

Select at least one course from two of the three groups below.
Mathematical Foundations (MF) &Statistical Thinking (ST)
Statistical Modeling I
Basics of Statistical Learning
Advanced Data Analysis
Applied Machine Learning
Machine Learning
Mathematical Foundations (MF) & Computational Thinking (CT)
Numerical Analysis
Parallel Programming
Statistical Computing *
Data Description and Curation (DX) & Data Modeling (DX)
Data Science Foundations
Introduction to Data Mining
Total Hours 16

* CSE 428 is the correct course (instead of STAT 448 as shown in an earlier version) in this category. If you have any questions, please contact Bryan Wang (bpcwang@illinois.edu).

Approved Elective Courses

Complete two additional courses from the approved list.
General Electives
Basics of Statistical Learning
Statistical Learning
Uncertainty Quantification
Advanced Data Management
Data Visualization
Uncertainty Quantification
Mechanical Science and Engineering
Mfg Data and Quality Systems
Experimental Fluid Mechanics
Atomistic Solid Mechanics
Civil and Environmental Engineering
Globalization of Water
Stochastic Hydrology
Geotechnical Field Measurement
Construction Data Modeling
Structural Dynamics II
Intro to Digital Materials
Mfg Data and Quality Systems
Additive Manufacturing and Product Design
Industrial & Enterprise Systems Engineering
Algorithms for Data Analytics
Optimization Methods for Large Scale Networks
Statistical Data Analysis and Stochastic Processes in Physics
Computational Bioengineering
Applied Deep Learning for Biomedical Imaging

Other Requirements

At least 4 hours of coursework for the DSE concentration should be advanced (500-level courses)
For students enrolled in both the DSE concentration and the CSE concentration, at least 12 hours of coursework earned for the DSE concentration must be distinct from credit earned for the CSE concentration.







Q: What is a concentration?

A: A graduate concentration constitutes a coherent program of study requiring additional breadth or considerable depth of knowledge. A concentration may refer to a subfield within a discipline, or to an interdepartmental and/or interdisciplinary area of knowledge. Concentrations appear on academic transcripts.

Q: I’m not a current student at the University of Illinois at Urbana-Champaign,  can I directly apply for DSE? 

A: Only current students in one of the participating degree programs are eligible for the DSE graduate concentration. You can check the websites of the degree programs and contact them directly for any questions about the application.

Q: I’m a doctoral student in a department that is not on the list, can I enroll in the DSE graduate concentration? 

A: The DSE graduate concentration is only available for students enrolled in participating graduate degree programs.

Q: I’m in a Master’s program in the participating departments, can I enroll in the DSE graduate concentration? 

A: The DSE graduate concentration is only available for students enrolled in participating graduate degree programs. They are all at the Ph.D. level.

Q: Can I enroll in the DSE graduate concentration after I finish all the coursework?

A: You are not eligible to elect this concentration if you have completed all the required coursework before you enroll in the concentration. Concentrations cannot not be awarded retroactively.

Q: I have other questions, who should I contact? 

A: Please contact CSE education coordinator Bryan Wang bpcwang@illinois.edu

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