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Search Engineering Faculty View Faculty Directory Faculty & Research Creating knowledge for a better world. Faculty Directory Faculty Openings Collaborating Faculty Collaborating Labs & Centers Courtesy Appointments Other Appointments Research Areas Computational Systems Biology Computer Engineering Cyberphysical Systems Cybersecurity and Privacy Graphics, Vision & Imaging Human-Computer Interaction Machine Learning & Artificial Intelligence Natural Language Processing Networked Systems Parallel Computing Technology Theoretical Computer Science Faculty & Research Main Menu News & Events Featured News Interactive approach to geospatial search combines aerial imagery, reinforcement learning Framework for large-scale geospatial exploration developed by computer scientists Yevgeniy Vorobeychik, Nathan Jacobs and Anindya Sarkar 12.14.2023 --> News & Events Get involved and stay informed. Events Latest News Academic Calendar Colloquia series Main Menu About Us About Us We're here to create a positive impact in the world. About Us Alumni About the Chair Advisory Board Equity, Diversity & Inclusion Research Innovations History Staff Main Menu Don't know where to start? Prospective Students Current Students Faculty & Staff Alumni Industry Start your application today Undergraduate Admissions Graduate Admissions Dual Degree Program Graduate applicants: Attend an info session and skip the application fee Search Trending Searches graduate admissions academic programs financial aid academic calendar maps & directions summer school Home Academics Undergraduate Programs Bachelor of Science in Computer Science + Math Undergraduate Programs Bachelor of Science in Computer Science + Math The McKelvey School of Engineering and the College of Arts & Sciences have developed the Computer Science + Math major to capture the intersection of the two complementary studies. Engineering students who declare this major must fulfill the distribution and other requirements for the Applied Science degree. Arts & Sciences students who declare this major must fulfill the distribution and other requirements for the AB degree in addition to the specific requirements listed below. &＃160; Core Course Requirements* CSE 131 Introduction to Computer Science 3 CSE 247 Data Structures and Algorithms 3 Math 131 Calculus I (AP credit may satisfy this requirement) 3 Math 132 Calculus II (AP credit may satisfy this requirement) 3 Math 233 Calculus III 3 Math 310or Math 310Wor CSE 240 Foundations for Higher MathematicsFoundations for Higher Mathematics with WritingLogic and Discrete Mathematics 3-4 Math 309 Matrix Algebra 3 Math 3200or ESE 326&＃160;&＃160; or Math 3211 Elementary to Intermediate Statistics and Data AnalysisProbability and Statistics for Engineering &＃160;Statistics for Data Science I &＃160; 3 CSE 347 Analysis of Algorithms 3 *Each of these core courses must be passed with a grade of C- or better. &＃160; Electives Seven upper-level courses from Math or Computer Science & Engineering can be chosen from the approved lists below, with the following caveats: At least three courses must be taken from CSE and at least three courses must be taken from Math. At most, one pre-approved course from outside both departments can be selected. CSE 400 or 400E Independent Study may be taken for a maximum of three units, but must be approved by a CS+Math review committee. Biology and Biomedical Sciences Course List Code Title Units Biol&＃160;5657 Biological Neural Computation 3 Biomedical Engineering Course List Code Title Units BME&＃160;470 Mathematics of Imaging Science 3 Computer Science and Engineering Electives CSE 217A Introduction to Data Science CSE 341T Parallel Algorithms CSE 411A AI and Society CSE 412A Introduction to Artificial Intelligence CSE 416A Analysis of Network Data CSE 417T Introduction to Machine Learning CSE 427S Cloud Computing with Big Data Applications CSE 442T Introduction to Cryptography CSE 447T Introduction to Formal Languages and Automata CSE 468T Introduction to Quantum Computing CSE 510A Deep Reinforcement Learning CSE 513T Theory of Artificial Intelligence and Machine Learning CSE 514A Data Mining CSE 515T Bayesian Methods in Machine Learning CSE 516A Multiagent Systems CSE 517A Machine Learning CSE 518A Human-in-the-Loop Computation CSE 527A Natural Language Processing CSE 531A AI for Health CSE 533T Coding and Information Theory for Data Science CSE 534A&＃160;Large-Scale Optimization for Data Science CSE 541T Advanced Algorithms CSE 543T Algorithms for Nonlinear Optimization CSE 544T Special Topics in Computer Science Theory CSE 546T Computational Geometry CSE 554A Geometric Computing for Biomedicine CSE 555T Adversarial AI CSE 559A Computer Vision CSE 561A Large Language Models CSE 581T Approximation Algorithms CSE 584A Algorithms for Biosequence Comparison CSE 587A Algorithms for Computational Biology CSE 659A Advances in Computer Vision Economics Course List Code Title Units Econ&＃160;4151 Applied Econometrics 3 Econ&＃160;467 Game Theory 3 Electrical & Systems Engineering ESE&＃160;4031 Optimization for Engineered Planning, Decisions and Operations 3 ESE&＃160;415 Optimization 3 ESE&＃160;417 Introduction to Machine Learning and Pattern Classification 3 ESE&＃160;427 Financial Mathematics 3 ESE&＃160;429 Basic Principles of Quantum Optics and Quantum Information 3 ESE&＃160;520 Probability and Stochastic Processes 3 Linguistics Course List Code Title Units Ling 317 Intro to Computational Linguistics 3 Ling 427 Computation and Learnability in Linguistic Theory 3 Mathematics Electives Math 350 Dynamical Systems and Chaos Math 370 Introduction to Combinatorics Math 371 Graph Theory Math 407 An Introduction to Differential Geometry Math 4111 Introduction to Analysis Math 4121 Introduction to Lebesque Integration Math 4171 Topology I Math 420 Experimental Design Math 429 Linear Algebra Math 430 Modern Algebra SDS 434 Survival Analysis Math 4351 Number Theory and Cryptography Math 439 Linear Statistical Models Math 444 Mathematics of Quantum Theory&＃160; Math 449 Numerical Applied Mathematics Math 450 Topics in Applied Mathematics Math 456 Topics in Financial Mathematics SDS 459 Bayesian Statistics SDS 460 Multivariable Statistics Math 461 Time Series Analysis SDS 4601 Statistical Learning SDS 462 Mathematical Foundations of Big Data Math 470 Special Topics Math 475 Statistical Computation SDS 493 Probability Math 494 Mathematical Statistics SDS 495 Stochastic Processes Physics &＃160;Physics 427 Introduction to Computational Physics Additional Departmental Requirements* CWP 100&＃160;College Writing I 3 units Engr 310&＃160;Technical Writing 3 units Natural Sciences electives 8 units Humanities and Social Sciences electives 18 units Total Units 32 *The College Writing and Humanities and Social Sciences requirements are those required of all students in the McKelvey School of Engineering. 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 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. 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