BS in Data Science with a Data Processing, Science, and Engineering Concentration

Degree Requirements

To earn a Bachelor of Science in Data Science with a Data Processing, Science, and Engineering 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 section for additional degree requirements and college academic policies.

Summary of Requirements
General and Basic Education Requirements37
Core Courses57
Data Processing, Science, and Engineering Concentration Requirements15-17
Free Electives9-11
Total Hours120

General and Basic Education Requirements

ENGL 160Academic Writing I: Writing in Academic and Public Contexts3
ENGL 161Academic Writing II: Writing for Inquiry and Research3
Foreign Language8
Understanding the Individual and Society course a3
Understanding U.S. Society course a3
Exploring World Cultures course a3
Understanding the Creative Arts course a3
Understanding the Past course a3
Two Analyzing the Natural World courses (with lab) a,b8
Total Hours37

Core Courses

Required Courses
ENGR 100Engineering Orientation (no graduation credit)1
MATH 180Calculus I4
MATH 181Calculus II4
MATH 210Calculus III3
MATH 310Applied Linear Algebra3
CS 111Program Design I3
CS 141Program Design II3
CS 151Mathematical Foundations of Computing3
or MCS 361 Discrete Mathematics
CS 211Programming Practicum2
CS 251Data Structures4
CS 377Communication and Ethical Issues in Computing3
Select one of the following:3
Applied Statistical Methods I
Probability and Statistics for Engineers a
Probability and Random Processes for Engineers b
STAT 382Statistical Methods and Computing3
or IDS 462 Statistical Software for Business Applications
STAT 385Elementary Statistical Techniques for Machine Learning and Big Data3
STAT 481Applied Statistical Methods II3
IDS 312Business Project Management3
IDS 435Optimization for Analytics3
CS 418Introduction to Data Science c3
or IDS 472 Business Data Mining
CS 480Database Systems c3
or IDS 410 Business Database Technology
Total Hours57

Data Processing, Science, and Engineering Concentration Requirements 

Required Courses
Note: ECE 341 must be chosen as the selective probability and statistics choice in the Core Courses in order to pursue this concentration.
MATH 220Introduction to Differential Equations3
ECE 310Discrete and Continuous Signals and Systems3
Selectives
Select three of the following:9-11
Digital Signal Processing I
Pattern Recognition I
Image Analysis and Computer Vision I
Digital Signal Processing II
Statistical Digital Signal Processing
Multimedia Systems
Robotics: Algorithms and Control
Total Hours15-17

Free Electives

Electives
Select 9-11 hours of Free Electives.9-11
Total Hours9-11

 Sample Course Schedule

Plan of Study Grid
First Year
First SemesterHours
CS 111 Program Design I 3
ENGL 160 Academic Writing I: Writing in Academic and Public Contexts 3
MATH 180 Calculus I 4
Analyzing the Natural World (with Lab) General Education course 4
ENGR 100 Engineering Orientation 1
 Hours15
Second Semester
CS 141 Program Design II 3
ENGL 161 Academic Writing II: Writing for Inquiry and Research 3
MATH 181 Calculus II 4
General Education Core course 3
Foreign Language 4
 Hours17
Second Year
First Semester
CS 151
Mathematical Foundations of Computing
or Discrete Mathematics
3
CS 211 Programming Practicum 2
ECE 341 Probability and Random Processes for Engineers 3
Analyzing the Natural World (with lab) General Education course 4
Foreign Language 4
 Hours16
Second Semester
CS 251 Data Structures 4
STAT 382
Statistical Methods and Computing
or Statistical Software for Business Applications
3
IDS 312 Business Project Management 3
MATH 210 Calculus III 3
General Education Core course 3
 Hours16
Third Year
First Semester
CS 377 Communication and Ethical Issues in Computing 3
CS 480
Database Systems
or Business Database Technology
3
STAT 385 Elementary Statistical Techniques for Machine Learning and Big Data 3
MATH 310 Applied Linear Algebra 3
General Education Core course 3
 Hours15
Second Semester
CS 418
Introduction to Data Science
or Business Data Mining
3
STAT 481 Applied Statistical Methods II 3
IDS 435 Optimization for Analytics 3
Concentration Requirement 3
Free Elective 3
 Hours15
Fourth Year
First Semester
Concentration Requirement 3
Concentration Requirement 3-4
General Education Core course 3
Free Elective 3-4
 Hours13
Second Semester
Concentration Requirement 3-4
Concentration Requirement 3
General Education Core course 3
Free Elective 3-4
 Hours13
 Total Hours120