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
Choose one (1) sequence:8
CSC 241
& CSC 242
INTRODUCTION TO COMPUTER SCIENCE I
and INTRODUCTION TO COMPUTER SCIENCE II
OR
CSC 243
INTRODUCTION TO COMPUTER SCIENCE FOR PROGRAMMERS (and one (1) major elective)
Remaining Requirements:
CSC 300DATA STRUCTURES I4
CSC 301DATA STRUCTURES II4
CSC 321DESIGN AND ANALYSIS OF ALGORITHMS4
CSC 373COMPUTER SYSTEMS I4
CSC 374COMPUTER SYSTEMS II4
MAT 140DISCRETE MATHEMATICS I4
MAT 141DISCRETE MATHEMATICS II4
or MAT 215 INTRODUCTION TO MATHEMATICAL REASONING
MAT 260MULTIVARIABLE CALCULUS I4
MAT 262LINEAR ALGEBRA4
Select one of the following calculus 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 Sequence (option 3)
MAT 155
SUMMER CALCULUS I
MAT 156
SUMMER CALCULUS II
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 Electives12
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 Electives28

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 305
GRAPH THEORY
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

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 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
CSE 375
INTRODUCTION TO ROBOTICS
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
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 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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