BS in Data Science with a Urban Planning and Policy Administration Concentration

Degree Requirements

To earn a Bachelor of Science in Data Science with a Urban Planning and Policy Administration 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
Urban Planning and Policy Administration Concentration Requirements18
Free Electives8
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

 Urban Planning and Policy Administration Concentration Requirements

Understanding Public Problems
Select two of the following: 6
Individual Action and Democratic Citizenship
Introduction to Public Policy
Nonprofit Organizations and Civil Society
Introduction to Urban Studies
Social Justice and the City
Political Economy of Urban Development a
Skills and Tools to Address Public Problems
Select four of the following: 12
Data Visualization and Geospatial Analysis Courses
Coding for Civic Data Applications
Introduction to Geospatial Analysis and Visualization I
Introduction to Geospatial Analysis and Visualization II
Geographic Information Systems for Planning and Policy
Intermediate GIS for Planning and Policy
Complexity-based Models for Planning and Policy
Mapping, Data, and Geographic Information Systems
Visualizing the City: Methods and Tools for Representing the City
Introduction to Geographic Information Systems I
Public Problems and Policy Analysis Courses
Foundations of Public Service
Addressing Public Problems with Data
Civic Technology
Coding for Civic Data Applications
PA 470
Policy Analysis III: Identifying and Developing Alternatives
Evaluating Public Policies and Programs
Planning Practices for Great Cities
Topics in Geospatial Analysis and Visualization (Spatial Statistics section)
Analyzing the City
Urban Policy Analysis Methods a

 Free Electives

Electives
Select 8 hours of Free Electives.8
Total Hours8

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
STAT 381
Applied Statistical Methods I
or Probability and Statistics for Engineers
or 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
Concentration Requirement 3
 Hours15
Fourth Year
First Semester
Concentration Requirement 3
Concentration Requirement 3
General Education Core course 3
Free Elective 4
 Hours13
Second Semester
Concentration Requirement 3
Concentration Requirement 3
General Education Core course 3
Free Elective 4
 Hours13
 Total Hours120