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 |
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.
- 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
Statistics and Data Science
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
Biology and Biomedical Sciences
Course List
Code |
Title |
Units |
Biol 5657 | Biological Neural Computation | 3 |
Biomedical Engineering
Course List
Code |
Title |
Units |
BME 470 | Mathematics of Imaging Science | 3 |
Linguistics
Course List
Code |
Title |
Units |
Ling 317 | Introduction to Computational Linguistics | 3 |
Ling 427 | Computation and Learnability in Linguistic Theory | 3 |
Additional Departmental Requirements
Requirements/Credits (No Headings)
Requirements |
Credits |
Engr 310 Technical Writing |
3 |
One themed writing course from the College Writing Program |
3 |
Humanities and social sciences electives |
18 |
Natural sciences electives |
8 |
The College Writing Program, humanities, and social sciences requirements are those required of all students in the McKelvey School of Engineering. For information about how to fulfill the school's English proficiency requirement, please visit the Degree Requirements page of this Bulletin.
The natural sciences requirement is for 8 units designated NSM (Natural Sciences and Mathematics) from any of the following departments: Anthropology; Biology; Chemistry; Earth, Environmental, and Planetary Sciences; Environmental Studies; or Physics. The College Writing Program and natural sciences courses must be completed with a grade of C- or better.
All courses taken to meet any of the above requirements (with the exception of the humanities and social sciences electives) cannot be taken on a pass/fail basis.