University of Illinois Chicago College of Engineering 40 courses 120 total credits
To earn a Bachelor of Science in Data Science with a Computer Science Concentration from UIC, students need to complete university, college, and department degree requirements. The Department of Computer Science degree requirements are outlined below. Students should consult the College of Engineering (p. 237) section for additional degree requirements and college academic policies.
| General and Basic Education Requirements | 37 credits |
| Core Courses | 57 credits |
| Computer Science Concentration Requirements | 15 credits |
| Free Electives | 11 credits |
| Total Hours | 120 credits |
| General and Basic Education Requirements | 37 credits |
| Core Courses | 57 credits |
| Data Processing, Science, and Engineering Concentration Requirements | 15-17 credits |
| Free Electives | 9-11 credits |
| Total Hours | 120 credits |
General and Basic Education Requirements
| Code | Course Title | Credits |
|---|---|---|
| ENGL 160 | Academic Writing I: Writing in Academic and Public Contexts | 3 |
| ENGL 161 | Academic Writing II: Writing for Inquiry and Research | 3 |
| Total General and Basic Education Requirements | 37 credits | |
Core Courses: Required Courses
| Code | Course Title | Credits |
|---|---|---|
| ENGR 100 or ENGR 101 | Engineering Success Seminar for Freshmen or Engineering Success Seminar for Transfer Students | 1 |
| MATH 180 | Calculus I | 4 |
| MATH 181 | Calculus II | 4 |
| MATH 210 | Calculus III | 3 |
| MATH 218 | Applied Linear Algebra | 3 |
| Total Core Courses: Required Courses | 57 credits | |
Select one of the following
Select one of the following:
Computer Science Concentration Requirements: Required Courses
The following courses must be chosen as the selective choices in the Core courses in order to pursue this concentration.
| Code | Course Title | Credits |
|---|---|---|
| CS 418 | Introduction to Data Science | 3-4 |
| CS 480 | Database Systems | 3-4 |
Select five of the following courses, of which at least four must be CS courses:
| Code | Course Title | Credits |
|---|---|---|
| CS 342 | Software Design | 3 |
| MCS 401 | Computer Algorithms I | 3-4 |
General and Basic Education Requirements
| Code | Course Title | Credits |
|---|---|---|
| ENGL 160 | Academic Writing I: Writing in Academic and Public Contexts | 3 |
| ENGL 161 | Academic Writing II: Writing for Inquiry and Research | 3 |
| Total General and Basic Education Requirements | 37 credits | |
Core Courses: Required Courses
| Code | Course Title | Credits |
|---|---|---|
| ENGR 100 or ENGR 101 | Engineering Success Seminar for Freshmen or Engineering Success Seminar for Transfer Students | 1 |
| MATH 180 | Calculus I | 4 |
| MATH 181 | Calculus II | 4 |
| MATH 210 | Calculus III | 3 |
| MATH 218 | Applied Linear Algebra | 3 |
| Total Core Courses: Required Courses | 57 credits | |
Select one of the following
Select one of the following:
Data Processing, Science, and Engineering Concentration Requirements: Required Courses
| Code | Course Title | Credits |
|---|---|---|
| ECE 341 | Probability and Random Processes for Engineers | 3 |
| MATH 220 | Introduction to Differential Equations | 3 |
| ECE 310 | Discrete and Continuous Signals and Systems | 3 |
| Total | 15-17 credits | |
Selectives
Select three of the following:
| Code | Course Title | Credits |
|---|---|---|
| ECE 317 | Digital Signal Processing I | 4 |
| ECE 407 | Pattern Recognition I | 3-4 |
| ECE 415 | Image Analysis and Computer Vision I | 3-4 |
| ECE 417 | Digital Signal Processing II | 0-5 |
| ECE 418 | Statistical Digital Signal Processing | 3-4 |
| ECE 434 | Multimedia Systems | 3-4 |
| ECE 452 | Robotics: Algorithms and Control | 3-4 |
Click a course code or title to read the full course description.
Our subject experts help with essays, research papers, case studies, discussion posts, and capstone projects for these programs β written from scratch to your course requirements.
Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.
Expert guides on essay writing, citation styles, study skills, and academic success.
View All Articles
Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
Learn how to cite sources in a research paper using APA, MLA, and Chicago styles, with in-text citation examples and reference-list tips.