College of Science and Health > Academics > Mathematical Sciences > Undergraduate > Mathematics & Computer Science (BS) > Major Requirements

Major Requirements

Major Requirements

Course Requirements

Course Title Quarter Hours
CSC 241INTRODUCTION TO COMPUTER SCIENCE I4
CSC 242INTRODUCTION TO COMPUTER SCIENCE II4
CSC 300DATA STRUCTURES I4
CSC 301DATA STRUCTURES II4
CSC 321DESIGN AND ANALYSIS OF ALGORITHMS4
CSC 373COMPUTER SYSTEMS I4
CSC 374COMPUTER SYSTEMS II4
Select one of the following:4
CSC 394
SOFTWARE PROJECTS (Capstone)
MAT 398
SENIOR CAPSTONE SEMINAR (Capstone)
DSC 394
DATA SCIENCE PROJECT (Capstone)
MAT 140DISCRETE MATHEMATICS I4
MAT 141DISCRETE MATHEMATICS II4
Select one of the following three-course sequences:12-18
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 (option 3)
MAT 155
SUMMER CALCULUS I
MAT 156
SUMMER CALCULUS II
Calculus for Mathematics and Science Majors 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 with Scientific Applications Sequence (option 5)
MAT 170
CALCULUS FOR LIFE SCIENCES I
MAT 171
CALCULUS FOR LIFE SCIENCES II
Select one of the following:
MAT 149
CALCULUS WITH INTEGRATED PRECALCULUS III
MAT 152
CALCULUS III
MAT 162
CALCULUS FOR MATHEMATICS AND SCIENCE MAJORS III
MAT 260MULTIVARIABLE CALCULUS I4
MAT 262LINEAR ALGEBRA4
Select three (3) CDM Major Electives 12
Select three (3) MAT Major Electives 12
Select one (1) CDM or MAT Major Elective 4

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

Major Electives

Students must take seven (7) Major Field electives chosen from the grouped list below. Of these, three (3) must be CDM courses and three (3) must be MAT courses, and one (1) could be either a CDM or MAT course.

Students must earn a grade of C- or higher in all major elective courses.

It is recommended that students concentrate on one or two areas for their advanced classes 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 area explore the mathematical and logical foundations of computer science.

Course Title Quarter Hours
MAT 302
COMBINATORICS
MAT 303
THEORY OF NUMBERS
MAT 310
ABSTRACT ALGEBRA I
MAT 335
REAL ANALYSIS I
MAT 336
REAL ANALYSIS II
MAT 351
PROBABILITY AND STATISTICS I
MAT 370
ADVANCED LINEAR ALGEBRA
MAT 372
LOGIC AND SET THEORY
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
MAT 387
OPERATIONS RESEARCH: LINEAR PROGRAMMING
CSC 389
THEORY OF COMPUTATION

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 380
FOUNDATIONS OF ARTIFICIAL INTELLIGENCE
CSC 357
EXPERT SYSTEMS
CSC 358
SYMBOLIC PROGRAMMING

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 324
ADVANCED DATA ANALYSIS (FORMERLY CSC 334)
or MAT 354
 MULTIVARIATE STATISTICS
DSC 341
FOUNDATIONS OF DATA SCIENCE (FORMERLY CSC 367)
DSC 333
INTRODUCTION TO BIG DATA PROCESSING
DSC 345
MACHINE LEARNING
DSC 365
DATA VISUALIZATION (FORMERLY DSC 350)
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 356
APPLIED REGRESSION ANALYSIS
or DSC 323
 DATA ANALYSIS AND REGRESSION (FORMERLY CSC 324)
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

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

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