Manage and analyze complex data sets

Through DePaul’s Data Science program, you’ll develop a deep understanding of computer science, mathematics and information management — the three primary components of the data science profession.

As you work towards your B.S. in Data Science, program coursework will teach you:

• Mathematical foundations in data analysis
• Technical skills for data processing and application development
• Advanced machine learning and statistical modeling techniques
• Analytical and communication skills to explain results in a meaningful way

You’ll take a common core of courses in computer science, programming, mathematics and software during your first two years, after which you will select data science courses with a more narrow focus based on your interests.

Classes

Coursework

• Introduction to Computer Science
• Calculus
• Data Structures
• Data Analysis and Statistical Software
• Data Visualization
• Database Systems
• Foundations of Data Science
• Machine Learning
• Generalized Linear Models

Resources

• Major Requirements
• Schedule of Classes
• Department Website

•  
• Combined bachelor's + master's degree offered

Career Options

Common Career Areas

• Data scientist
• Data engineer
• Data analyst
• Database administrator
• Statistician
• Functional analyst
• Business analyst
• Predictive modeler
• Data architect
• Data governance specialist
• Data visualization specialist
• Computational scientist
• Data analyst for medical/pharmaceutical firms
• Market analyst

Major Requirements

Course Requirements

Course List

Course	Title	Quarter Hours
CSC 241	INTRODUCTION TO COMPUTER SCIENCE I	4
CSC 242	INTRODUCTION TO COMPUTER SCIENCE II	4
CSC 300	DATA STRUCTURES I	4
CSC 301	DATA STRUCTURES II	4
CSC 321	DESIGN AND ANALYSIS OF ALGORITHMS	4
DSC 323	DATA ANALYSIS AND REGRESSION	4
DSC 324	ADVANCED DATA ANALYSIS	4
CSC 355	DATABASE SYSTEMS	4
DSC 341	FOUNDATIONS OF DATA SCIENCE	4
DSC 333	INTRODUCTION TO BIG DATA PROCESSING	4
DSC 345	MACHINE LEARNING	4
DSC 365	DATA VISUALIZATION	4
IT 223	DATA ANALYSIS	4
MAT 140	DISCRETE MATHEMATICS I	4
MAT 150	CALCULUS I	4
MAT 151	CALCULUS II	4
MAT 152	CALCULUS III	4
MAT 220	APPLIED LINEAR ALGEBRA	4
MAT 349	APPLIED PROBABILITY	4
MAT 360	GENERALIZED LINEAR MODELS	4
ORGC 201	BUSINESS AND PROFESSIONAL COMMUNICATION	4
SE 350	OBJECT-ORIENTED SOFTWARE DEVELOPMENT	4
Select eight (8) credit hours of Major Electives		8

Students may take CSC 243 and one (1) additional Major Elective in lieu of CSC 241 and CSC 242.

Major Electives

Students must earn a grade of C- or higher in all Major Elective courses. Students must select the eight  (8) credit hours of Major Electives from the following list of courses, grouped by topic:

Computer Science

Course List

Course	Title	Quarter Hours
CSC 331	SCIENTIFIC COMPUTING
CSC 347	CONCEPTS OF PROGRAMMING LANGUAGES
CSC 360	WEB APPLICATIONS
CSC 361	OPTIMIZED C++
CSC 373	COMPUTER SYSTEMS I
CSC 374	COMPUTER SYSTEMS II
CSC 376	DISTRIBUTED SYSTEMS
SE 325	INTRODUCTION TO SOFTWARE ENGINEERING

Mathematics

Course List

Course	Title	Quarter Hours
MAT 260	MULTIVARIABLE CALCULUS I
MAT 350	BAYESIAN STATISTICS
MAT 351	PROBABILITY AND STATISTICS I
MAT 352	PROBABILITY AND STATISTICS II
MAT 353	PROBABILITY AND STATISTICS III
MAT 355	STOCHASTIC PROCESSES
MAT 358	APPLIED TIME SERIES AND FORECASTING
MAT 387	OPERATIONS RESEARCH: LINEAR PROGRAMMING
MAT 388	OPERATIONS RESEARCH: OPTIMIZATION THEORY

Artificial Intelligence

Course List

Course	Title	Quarter Hours
CSC 358	SYMBOLIC PROGRAMMING
CSC 380	FOUNDATIONS OF ARTIFICIAL INTELLIGENCE

Image Analytics

Course List

Course	Title	Quarter Hours
CSC 381	INTRODUCTION TO DIGITAL IMAGE PROCESSING
CSC 382	APPLIED IMAGE ANALYSIS

Geographic Information Systems

Course List

Course	Title	Quarter Hours
GEO 141	GEOGRAPHIC INFORMATION SYSTEMS I: DIGITAL MAPPING
GEO 242	GEOGRAPHIC INFORMATION SYSTEMS II: COMMUNITY GIS
GEO 243	EARTH OBSERVATION
GEO 343	EARTH OBSERVATION II
GEO 344	GEOGRAPHIC INFORMATION SYSTEMS III: SPATIAL ANALYSIS FOR SUSTAINABILITY
GEO 346	GIS ANALYSIS OF ENVIRONMENTAL AND PUBLIC HEALTH
GEO 347	WEB GIS AND SPATIAL DATA VISUALIZATION ON THE WEB

Information Technology

Course List

Course	Title	Quarter Hours
IT 130	INTRODUCTORY COMPUTING FOR THE WEB
IT 231	WEB DEVELOPMENT I
IT 232	WEB DEVELOPMENT II
IT 251	INTRODUCTION TO MOBILE APPS

Research

Course List

Course	Title	Quarter Hours
CSC 395	RESEARCH COLLOQUIUM
CSC 399	INDEPENDENT STUDY
IT 300	RESEARCH EXPERIENCE

Open Electives

Open elective credit also is required to meet the minimum graduation requirement of 192 hours.

See www.cdm.depaul.edu to see sample schedule of course requirements on a year-by-year basis.

Degree Requirements

Students in this degree must meet the following requirements:

• Complete a minimum of 192 credit hours (generally 48 courses)
• Earn a grade of C- or higher in WRD 103, WRD 104, and all Major and Minor courses
• Earn a grade of D or higher in all other Liberal Studies and Open Elective courses
• Maintain a cumulative GPA of 2.0 or higher