The BS in Mathematics and Computer Science is designed to prepare students to compete for the more intellectually demanding jobs in software development or for graduate study in various areas of computer science and applied mathematics such as theoretical computer science, graphics, data analysis, artificial intelligence, and computational methods.
| Program Requirements | Quarter Hours |
|---|---|
| Liberal Studies Requirements | 76 |
| Major Requirements | 88 |
| Open Electives | 28 |
| Total hours required | 192 |
Learning Outcomes
Students will be able to:
- Construct valid, logical arguments and analyze the reasoning of others.
- Model a computation problem, select appropriate algorithms and data structures for a solution, justify the correctness of the algorithm, and implement an application solving the problem.
- Use discrete and continuous mathematical structures to model problems and then solve them using appropriate techniques.
- Analyze the efficiency of a computational solution mathematically, and validate the analysis experimentally.
Liberal Studies Requirements
Honors program requirements can be found in the individual Colleges & Schools section of the University Catalog. Select the appropriate college or school, followed by Undergraduate Academics and scroll down.
| First Year Program | Hours | |
|---|---|---|
| Chicago Quarter | ||
| LSP 110 or LSP 111 | DISCOVER CHICAGO or EXPLORE CHICAGO | 4 |
| Focal Point | ||
| LSP 112 | FOCAL POINT SEMINAR | 4 |
| Writing | ||
| WRD 103 | COMPOSITION AND RHETORIC I 1 | 4 |
| WRD 104 | COMPOSITION AND RHETORIC II 1 | 4 |
| Quantitative Reasoning | ||
| Not Required | ||
| Sophomore Year | ||
| Race, Power, and Resistance | ||
| LSP 200 | SEMINAR ON RACE, POWER, AND RESISTANCE | 4 |
| Junior Year | ||
| Experiential Learning | ||
| Required | 4 | |
| Senior Year | ||
| Capstone | ||
| Required in major 1 | ||
- 1
Students must earn a C- or better in this course.
Learning Domains
Arts and Literature (AL)
- 3 Courses Required
Historical Inquiry (HI)
- 2 Courses Required
Math and Computing (MC)
- Not Required
Philosophical Inquiry (PI)
- 2 Courses Required (See note below)
Religious Dimensions (RD)
- 2 Courses Required (See note below)
Scientific Inquiry (SI)
- 1 Lab Course Required
Social, Cultural, and Behavioral Inquiry (SCBI)
- 3 Courses Required:
Notes
Students must take one of the following ethics courses:
| Course | Title | Quarter Hours |
|---|---|---|
| Select one of the following: | 4 | |
| ETHICS IN TECHNOLOGY (PI) | ||
| BUSINESS ETHICS (PI) | ||
| BUSINESS, ETHICS AND SOCIETY (RD) | ||
Specified required courses within Liberal Studies may have grade minimums (e.g. C- or better). Please consult your advisor or your college and major requirements.
Courses offered in the student's primary major cannot be taken to fulfill LSP Domain requirements. If students double major, LSP Domain courses may double count for both LSP credit and the second major. Students who choose to take an experiential learning course offered by the major may count it either as a general elective or as the Experiential Learning requirement.
Students with a primary major in Mathematics and Computer Science (joint degree) are required to complete one of the following Capstone courses: CSC 394, DSC 394, or MAT 398. Students double majoring or pursuing dual degrees with the primary major or primary degree in Mathematics and Computer Science (joint degree) are also required to complete one of these courses. Mathematics and Computer Science (joint degree) students in the University Honors Program shall take the University Honors Capstone. They are not expected to take both the Honors Capstone and the primary major or primary degree Capstone.
In meeting learning domain requirements, no more than one course that is outside the student’s major and is cross-listed with a course within the student’s major, can be applied to count for LSP domain credit. This policy does not apply to those who are pursuing a double major or earning BFA or BM degrees.
Major Requirements
Course Requirements
| Course | Title | Quarter Hours |
|---|---|---|
| CSC 241 | INTRODUCTION TO COMPUTER SCIENCE I 1 | 4 |
| CSC 242 | INTRODUCTION TO COMPUTER SCIENCE II 1 | 4 |
| 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) | ||
| CALCULUS WITH INTEGRATED PRECALCULUS I | ||
| CALCULUS WITH INTEGRATED PRECALCULUS II | ||
| CALCULUS WITH INTEGRATED PRECALCULUS III | ||
Calculus Sequence (option 2) | ||
| CALCULUS I | ||
| CALCULUS II | ||
| CALCULUS III | ||
Summer Calculus Sequence (option 3) | ||
| SUMMER CALCULUS I | ||
| SUMMER CALCULUS II | ||
Calculus Sequence (option 4) | ||
| CALCULUS FOR MATHEMATICS AND SCIENCE MAJORS I | ||
| CALCULUS FOR MATHEMATICS AND SCIENCE MAJORS II | ||
| CALCULUS FOR MATHEMATICS AND SCIENCE MAJORS III | ||
Calculus Sequence (option 5) | ||
| CALCULUS FOR LIFE SCIENCES I | ||
| CALCULUS FOR LIFE SCIENCES II | ||
| 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 | |
| SOFTWARE PROJECTS | ||
| DATA SCIENCE PROJECT | ||
| 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 | |
- 1
Students with one (1) semester programming experience 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 |
|---|---|---|
| PROBLEM SOLVING | ||
| PROBLEM SOLVING FOR CONTESTS | ||
| CRYPTOLOGY | ||
| AUTOMATA THEORY AND FORMAL GRAMMARS | ||
| CONCEPTS OF PROGRAMMING LANGUAGES | ||
| INTRODUCTION TO COMPILER DESIGN | ||
| SYMBOLIC PROGRAMMING | ||
| DISTRIBUTED SYSTEMS | ||
| THEORY OF COMPUTATION | ||
| FOUNDATIONS OF ADVANCED MATHEMATICS | ||
| COMBINATORICS | ||
| THEORY OF NUMBERS | ||
| GRAPH THEORY | ||
| ABSTRACT ALGEBRA I | ||
| REAL ANALYSIS I | ||
| REAL ANALYSIS II | ||
| APPLIED PROBABILITY | ||
or MAT 351 | PROBABILITY AND STATISTICS I | |
| ADVANCED LINEAR ALGEBRA | ||
| LOGIC AND SET THEORY | ||
Computational Methods
The computational methods area investigates quantitative and computational methods in computer science.
| Course | Title | Quarter Hours |
|---|---|---|
| SCIENTIFIC COMPUTING | ||
| DIFFERENTIAL EQUATIONS | ||
| METHODS OF COMPUTATION AND THEORETICAL PHYSICS I | ||
| METHODS OF COMPUTATION AND THEORETICAL PHYSICS II | ||
| SIMULATION MODELS AND MONTE CARLO METHOD | ||
| MATHEMATICAL MODELING | ||
| NUMERICAL ANALYSIS I | ||
| NUMERICAL ANALYSIS II |
Artificial Intelligence
For students with an interest in the computational relations between syntax and semantics.
| Course | Title | Quarter Hours |
|---|---|---|
| EXPERT SYSTEMS | ||
| SYMBOLIC PROGRAMMING | ||
| FOUNDATIONS OF ARTIFICIAL INTELLIGENCE | ||
| INTRODUCTION TO ROBOTICS |
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 |
|---|---|---|
| DATA ANALYSIS AND REGRESSION | ||
or MAT 356 | APPLIED REGRESSION ANALYSIS | |
| ADVANCED DATA ANALYSIS | ||
or MAT 354 | MULTIVARIATE STATISTICS | |
| INTRODUCTION TO BIG DATA PROCESSING | ||
| FOUNDATIONS OF DATA SCIENCE | ||
| MACHINE LEARNING | ||
| DATA VISUALIZATION | ||
| STATISTICAL METHODS USING SAS | ||
| APPLIED PROBABILITY | ||
or MAT 351 | PROBABILITY AND STATISTICS I | |
| PROBABILITY AND STATISTICS II | ||
| PROBABILITY AND STATISTICS III | ||
| MULTIVARIATE STATISTICS | ||
| STOCHASTIC PROCESSES | ||
| NONPARAMETRIC STATISTICS | ||
| APPLIED TIME SERIES AND FORECASTING | ||
| SIMULATION MODELS AND MONTE CARLO METHOD | ||
| GENERALIZED LINEAR MODELS | ||
Computer Vision
Computer vision studies the mathematical and algorithmic underpinnings of image analysis and image processing.
| Course | Title | Quarter Hours |
|---|---|---|
| MULTIVARIABLE CALCULUS II | ||
| REAL ANALYSIS I | ||
| ADVANCED LINEAR ALGEBRA | ||
| FOURIER ANALYSIS AND SPECIAL FUNCTIONS | ||
| MATHEMATICAL MODELING | ||
| OPERATIONS RESEARCH: LINEAR PROGRAMMING | ||
| OPERATIONS RESEARCH: OPTIMIZATION THEORY | ||
| INTRODUCTION TO DIGITAL IMAGE PROCESSING | ||
| APPLIED IMAGE ANALYSIS |
Research
| Course | Title | Quarter Hours |
|---|---|---|
| RESEARCH COLLOQUIUM | ||
| INDEPENDENT STUDY | ||
| MATHEMATICS READING AND RESEARCH | ||
| SENIOR THESIS RESEARCH |
Finance
| Course | Title | Quarter Hours |
|---|---|---|
| APPLIED PROBABILITY | ||
| MATHEMATICS FOR FINANCE | ||
| OPERATIONS RESEARCH: LINEAR PROGRAMMING | ||
| 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: