The Second Major in Computer Science + Mathematics
The McKelvey School of Engineering and the College of Arts & Sciences have developed a new second major that efficiently captures the intersection of the complementary studies of computer science and math.
McKelvey Engineering students who declare this major must fulfill the core course requirements listed below and all other requirements for the Applied Science degree in the McKelvey School of Engineering. They must also complete Engr 310 Technical Writing and 8 units of courses designated as NSM (Natural Sciences & Math) from Anthropology (L48 Anthro); Biology and Biomedical Sciences (L41 Biol); Chemistry (L07 Chem); Earth, Environmental, and Planetary Sciences (L19 EPSc); Physics (L31 Physics); or Environmental Studies (L82 EnSt).
Arts & Sciences students who declare this major must fulfill the distribution requirements and all other requirements for an AB degree in addition to the specific requirements listed below.
Core Requirements
Course List | Code | Title | Units |
|---|
| CSE 131 | Introduction to Computer Science | 3 |
| CSE 240 | Logic and Discrete Mathematics | 3 |
| CSE 247 | Data Structures and Algorithms | 3 |
| Math 131 | Calculus I | 3 |
| Math 132 | Calculus II | 3 |
| Math 233 | Calculus III | 3 |
| Math 309 | Matrix Algebra | 3 |
| Math 310 | Foundations for Higher Mathematics | 3 |
| or Math 310W | Foundations For Higher Mathematics With Writing |
| SDS 3200 | Elementary to Intermediate Statistics and Data Analysis | 3 |
| or ESE 326 | Probability and Statistics for Engineering |
| or SDS 3211 | Statistics for Data Science I |
| CSE 347 | Analysis of Algorithms | 3 |
| Total Units | 30 |
Each of these core courses must be passed with a grade of C- or better.
Students who complete the Math 203 Honors Mathematics I – Math 204 Honors Mathematics II sequence will be considered to have completed Math 131 Calculus I , Math 132 Calculus II , and Math 233 Calculus III . These students can also choose to take additional electives in place of Math 309 Matrix Algebra and Math 310 Foundations for Higher Mathematics .
Electives
Eight upper-level courses from Math or CSE can be chosen from an approved list, with the following caveats:
- At least three courses must be taken from CSE and at least three course must be taken from Math.
- Up to two preapproved courses from outside both departments can be selected.
- CSE 400 Independent Study or CSE 400E Independent Study may be taken for a maximum of 3 units and must be approved by a CS+Math review committee.
List of Approved Electives
Computer Science & Engineering
Course List | Code | Title | Units |
|---|
| CSE 217A | Introduction to Data Science | 3 |
| CSE 341T | Parallel and Sequential Algorithms | 3 |
| CSE 411A | AI and Society | 3 |
| CSE 412A | Introduction to Artificial Intelligence | 3 |
| CSE 416A | Data Science for Complex Networks | 3 |
| CSE 417T | Introduction to Machine Learning | 3 |
| CSE 427S | Cloud Computing with Big Data Applications | 3 |
| CSE 442T | Introduction to Cryptography | 3 |
| CSE 447T | Introduction to Formal Languages and Automata | 3 |
| CSE 457A | Introduction to Visualization | 3 |
| CSE 468T | Introduction to Quantum Computing | 3 |
| CSE 513T | Theory of Artificial Intelligence and Machine Learning | 3 |
| CSE 514A | Data Mining | 3 |
| CSE 515T | Bayesian Methods in Machine Learning | 3 |
| CSE 516A | Multi-Agent Systems | 3 |
| CSE 517A | Machine Learning | 3 |
| CSE 518A | Human-in-the-Loop Computation | 3 |
| CSE 533T | Coding and Information Theory for Data Science | 3 |
| CSE 534A | Large-Scale Optimization for Data Science | 3 |
| CSE 541T | Advanced Algorithms | 3 |
| CSE 543T | Algorithms for Nonlinear Optimization | 3 |
| CSE 544T | Special Topics in Computer Science Theory | 3 |
| CSE 546T | Computational Geometry | 3 |
| CSE 554A | Geometric Computing for Biomedicine | 3 |
| CSE 555T | Adversarial AI | 3 |
| CSE 559A | Computer Vision | 3 |
| CSE 581T | Approximation Algorithms | 3 |
| CSE 584A | Algorithms for Biosequence Comparison | 3 |
| CSE 587A | Algorithms for Computational Biology | 3 |
| CSE 659A | Advances in Computer Vision | 3 |
Mathematics
Course List | Code | Title | Units |
|---|
| Math 350 | Topics in Applied Mathematics | 3 |
| Math 370 | Introduction to Combinatorics | 3 |
| Math 371 | Graph Theory | 3 |
| Math 407 | An Introduction to Differential Geometry | 3 |
| Math 410 | Introduction to Fourier Series and Integrals | 3 |
| Math 4111 | Introduction to Analysis | 3 |
| Math 4121 | Introduction to Lebesgue Integration | 3 |
| Math 4171 | Topology I | 3 |
| Math 429 | Linear Algebra | 3 |
| Math 430 | Modern Algebra | 3 |
| Math 4351 | Number Theory and Cryptography | 3 |
| Math 444 | The Mathematics of Quantum Theory | 3 |
| Math 449 | Numerical Applied Mathematics | 3 |
| Math 450 | Topics in Applied Mathematics | 3 |
| Math 456 | Topics in Financial Mathematics | 3 |
| Math 470 | Topics in Graph Theory | 3 |
| Math 493C/SDS 493 | Probability | 3 |
| Math 495C/SDS 495 | Stochastic Processes | 3 |
Statistics and Data Science
Course List | Code | Title | Units |
|---|
| SDS 420 | Experimental Design | 3 |
| SDS 434 | Survival Analysis | 3 |
| SDS 439 | Linear Statistical Models | 3 |
| SDS 459 | Bayesian Statistics | 3 |
| SDS 460 | Multivariate Statistical Analysis | 3 |
| SDS 461 | Time Series Analysis | 3 |
| SDS 462 | Mathematical Foundations of Big Data | 3 |
| SDS 475 | Statistical Computation | 3 |
| SDS 493/Math 493C | Probability | 3 |
| SDS 494 | Mathematical Statistics | 3 |
| SDS 495/Math 495C | Stochastic Processes | 3 |
Electrical & Systems Engineering
Course List | Code | Title | Units |
|---|
| ESE 4031 | Optimization for Engineered Planning, Decisions and Operations | 3 |
| ESE 415 | Optimization | 3 |
| ESE 417 | Introduction to Machine Learning and Pattern Classification | 3 |
| ESE 427 | Financial Mathematics | 3 |
| ESE 429 | Basic Principles of Quantum Optics and Quantum Information | 3 |
| ESE 520 | Probability and Stochastic Processes | 3 |
Economics
Course List | Code | Title | Units |
|---|
| Econ 4151 | Applied Econometrics | 3 |
| Econ 467 | Game Theory | 3 |
Biology and Biomedical Sciences
Course List | Code | Title | Units |
|---|
| Biol 5657 | Biological Neural Computation | 3 |
