Develop math reasoning and computing solutions

As a Mathematics and Computer Science major, you will take coursework in both the Jarvis ?College of Computing and Digital Media and the College of Science and Health. Courses will prepare you for a profession in a variety of areas in computer science, graphics, data analysis, computer programming, and applied or discrete mathematics.

The Mathematics and Computer Science undergraduate major is designed to prepare you for graduate study in various areas of computer science, including theoretical computer science, graphics, data analysis, artificial intelligence, and computational methods in applied mathematics. It is also designed to prepare you to compete for theoretical, complex jobs in computer software development.

Classes

Coursework

• Artificial Intelligence
• Computational Mathematics
• Computer Vision
• Data Analysis
• Graphics
• Linear Algebra
• Programming
• Theory of Computation

Resources

• Major Requirements
• Schedule of Classes
• Department Website

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

Career Options

Common Career Areas

• Consulting
• Data analysis
• Education
• Information analysis
• Programming
• Software development
• Systems administration

More career info

93%

of Mathematics and Computer Science graduates were employed, continuing their education or not seeking employment after graduation.

Major Requirements

Course Requirements

Course	Title	Quarter Hours
Choose one (1) sequence:		8
CSC 241 & CSC 242	INTRODUCTION TO COMPUTER SCIENCE I and INTRODUCTION TO COMPUTER SCIENCE II
OR
CSC 243	PYTHON FOR PROGRAMMERS (and one (1) major elective)
Remaining Requirements:
CSC 300	DATA STRUCTURES I	4
CSC 301	DATA STRUCTURES II	4
CSC 321	DESIGN AND ANALYSIS OF ALGORITHMS	4
CSC 373	COMPUTER SYSTEMS I	4
CSC 374	COMPUTER SYSTEMS II	4
MAT 140	DISCRETE MATHEMATICS I	4
MAT 141	DISCRETE MATHEMATICS II	4
or MAT 215	INTRODUCTION TO MATHEMATICAL REASONING
MAT 260	MULTIVARIABLE CALCULUS I	4
MAT 262	LINEAR ALGEBRA	4
Select one of the following calculus sequences:		12
Calculus Sequence (option 1)
MAT 147	CALCULUS WITH INTEGRATED PRECALCULUS I
MAT 148	CALCULUS WITH INTEGRATED PRECALCULUS II
MAT 149	CALCULUS WITH INTEGRATED PRECALCULUS III
Calculus Sequence (option 2)
MAT 150	CALCULUS I
MAT 151	CALCULUS II
MAT 152	CALCULUS III
Summer Calculus Sequence (option 3)
MAT 155	SUMMER CALCULUS I
MAT 156	SUMMER CALCULUS II
Calculus Sequence (option 4)
MAT 160	CALCULUS FOR MATHEMATICS AND SCIENCE MAJORS I
MAT 161	CALCULUS FOR MATHEMATICS AND SCIENCE MAJORS II
MAT 162	CALCULUS FOR MATHEMATICS AND SCIENCE MAJORS III
Calculus Sequence (option 5)
MAT 170	CALCULUS FOR LIFE SCIENCES I
MAT 171	CALCULUS FOR LIFE SCIENCES II
MAT 149	CALCULUS WITH INTEGRATED PRECALCULUS III
or MAT 152	CALCULUS III
or MAT 162	CALCULUS FOR MATHEMATICS AND SCIENCE MAJORS III
Select One of the Following (Capstone)		4
CSC 394	SOFTWARE PROJECTS
DSC 394	DATA SCIENCE PROJECT
MAT 398	SENIOR CAPSTONE SEMINAR
Select twelve (12) credit hours of CDM Major Electives		12
Select twelve (12) credit hours of MAT Major Electives		12
Select four (4) credit hours of CDM or MAT Major Elective		4
Select twenty-eight (28) credit hours of Open Electives		28

Note: 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 requirements and major elective courses.

For the major electives, it is recommended that students concentrate on one or two areas to achieve depth, but they are not required to do so. Students are strongly encouraged to discuss course selection with an advisor. Students may wish to arrange with a professor to take an independent study or a research experience (MAT 399 or CSC 399 or IT 300) in order to explore a subject more deeply than is possible in a scheduled course.

Theory of Computation 

The courses in the theory of computation area explore the mathematical and logical foundations of computer science.

Course	Title	Quarter Hours
CSC 235	PROBLEM SOLVING
CSC 327	PROBLEM SOLVING FOR CONTESTS
CSC 333	CRYPTOLOGY
CSC 344	AUTOMATA THEORY AND FORMAL GRAMMARS
CSC 347	CONCEPTS OF PROGRAMMING LANGUAGES
CSC 348	INTRODUCTION TO COMPILER DESIGN
CSC 358	SYMBOLIC PROGRAMMING
CSC 376	DISTRIBUTED SYSTEMS
CSC 389	THEORY OF COMPUTATION
MAT 216	FOUNDATIONS OF ADVANCED MATHEMATICS
MAT 302	COMBINATORICS
MAT 303	THEORY OF NUMBERS
MAT 310	ABSTRACT ALGEBRA I
MAT 335	REAL ANALYSIS I
MAT 336	REAL ANALYSIS II
MAT 349	APPLIED PROBABILITY
or MAT 351	PROBABILITY AND STATISTICS I
MAT 370	ADVANCED LINEAR ALGEBRA
MAT 372	LOGIC AND SET THEORY

Computational Methods

The computational methods area investigates quantitative and computational methods in computer science.

Course	Title	Quarter Hours
CSC 331	SCIENTIFIC COMPUTING
MAT 304	DIFFERENTIAL EQUATIONS
MAT 330	METHODS OF COMPUTATION AND THEORETICAL PHYSICS I
MAT 331	METHODS OF COMPUTATION AND THEORETICAL PHYSICS II
MAT 359	SIMULATION MODELS AND MONTE CARLO METHOD
MAT 384	MATHEMATICAL MODELING
MAT 385	NUMERICAL ANALYSIS I
MAT 386	NUMERICAL ANALYSIS II

Artificial Intelligence 

For students with an interest in the computational relations between syntax and semantics.

Course	Title	Quarter Hours
CSC 357	EXPERT SYSTEMS
CSC 358	SYMBOLIC PROGRAMMING
CSC 375
CSC 380	FOUNDATIONS OF ARTIFICIAL INTELLIGENCE

Data Science Area

For students who are interested in statistical and computational analysis of data. Many of the courses in this area require the student to take MAT 351-MAT 353.

Course	Title	Quarter Hours
DSC 323	DATA ANALYSIS AND REGRESSION
or MAT 356	APPLIED REGRESSION ANALYSIS
DSC 324	ADVANCED DATA ANALYSIS
or MAT 354	MULTIVARIATE STATISTICS
DSC 333	INTRODUCTION TO BIG DATA PROCESSING
DSC 341	FOUNDATIONS OF DATA SCIENCE
DSC 345	MACHINE LEARNING
DSC 365	DATA VISUALIZATION
MAT 341	STATISTICAL METHODS USING SAS
MAT 349	APPLIED PROBABILITY
or MAT 351	PROBABILITY AND STATISTICS I
MAT 352	PROBABILITY AND STATISTICS II
MAT 353	PROBABILITY AND STATISTICS III
MAT 354	MULTIVARIATE STATISTICS
MAT 355	STOCHASTIC PROCESSES
MAT 357	NONPARAMETRIC STATISTICS
MAT 358	APPLIED TIME SERIES AND FORECASTING
MAT 359	SIMULATION MODELS AND MONTE CARLO METHOD
MAT 360	GENERALIZED LINEAR MODELS

Computer Vision

Computer vision studies the mathematical and algorithmic underpinnings of image analysis and image processing.

Course	Title	Quarter Hours
MAT 261	MULTIVARIABLE CALCULUS II
MAT 335	REAL ANALYSIS I
MAT 370	ADVANCED LINEAR ALGEBRA
MAT 381	FOURIER ANALYSIS AND SPECIAL FUNCTIONS
MAT 384	MATHEMATICAL MODELING
MAT 387	OPERATIONS RESEARCH: LINEAR PROGRAMMING
MAT 388	OPERATIONS RESEARCH: OPTIMIZATION THEORY
CSC 381	INTRODUCTION TO DIGITAL IMAGE PROCESSING
CSC 382	APPLIED IMAGE ANALYSIS

Research

Course	Title	Quarter Hours
CSC 395	RESEARCH COLLOQUIUM
CSC 399	INDEPENDENT STUDY
MAT 390	MATHEMATICS READING AND RESEARCH
MAT 396	SENIOR THESIS RESEARCH

Finance

Course	Title	Quarter Hours
MAT 349	APPLIED PROBABILITY
MAT 368	MATHEMATICS FOR FINANCE
MAT 387	OPERATIONS RESEARCH: LINEAR PROGRAMMING
MAT 388	OPERATIONS RESEARCH: OPTIMIZATION THEORY

Open Electives

Open Elective credit hours are required to meet the minimum graduation requirements of 192 hours. Open Electives may be taken from any unit at DePaul.

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

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