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Skip to content Information for: CSE resources PhD Students Master's Students Engineering resources Prospective Students Current Students Faculty & Staff Alumni Industry Apply Now! It's easy to start your application. Undergraduate Admissions Graduate Admissions Dual Degree Program Graduate applicants: Attend an info session and skip the application fee McKelvey School of Engineering Computer Science & Engineering Academics Academics The world needs difference-makers. 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It is not necessary to complete other distribution requirements of the School of Engineering for the second major. &＃160; Second Major in Computer Science Admissions The CS Minor needs to be nearly completed before one will be admitted to the Second Major in C.S. The Second Major should not be requested until after registering for or completing all courses required for a Minor in C.S.&＃160; Second Major in Computer Science Core Requirements Course List Code Title Unit CSE&＃160;131 Introduction to Computer Science 3 CSE&＃160;132 Introduction to Computer Engineering 3 CSE&＃160;240 Logic and Discrete Mathematics 3 or&＃160; Math&＃160;310 Foundations for Higher Mathematics CSE&＃160;247 Data Structures and Algorithms 3 CSE&＃160;332S Object-Oriented Software Development Laboratory 3 CSE&＃160;347 Analysis of Algorithms 3 Total Units 18 *Each of these core courses must be completed with a grade of C- or better Computer Science Electives At least 24 units of computer science electives, selected from any CSE courses with an S, M, T or A suffix. In satisfying these technical electives, up to 6 units may be taken outside the CSE classroom. Independent work (CSE 400E, CSE 497-CSE499) is possible by finding a suitable faculty mentor for the work. Such work can be classified as S, M, T or A with approval. Some or all of the 6 units may also be satisfied by taking courses in other departments with significant technical computing content, including those outside of the Engineering School. Complete the following form to request review of non-CSE courses: Elective Request Math Requirement Calculus (Math 131), Calculus II (Math 132), and Probability (ESE 326 or Math 3200, or the sequence DAT 120 & DAT 121). 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. Second Major in Computer Science + Mathematics Core Course Requirements* Code Title Units CSE 131&＃160; Introduction to Computer Science 3 CSE 240 Logic and Discrete Mathematics 3 CSE 247 Data Structures and Algorithms 3 Math&＃160;131 Calculus I (AP credit may satisfy this requirement)** 3 Math&＃160;132 Calculus II (AP credit may satisfy this requirement)** 3 Math&＃160;233 Calculus III** 3 Math&＃160;310 or&＃160;Math 310W Foundations for Higher Mathematics Foundation for Higher Mathematics with writing 3 &＃160; Math&＃160;309 Matrix Algebra 3 SDS 3200&＃160; or ESE 326 or SDS 3211 Elementary to Intermediate Statistics and Data Analysis Probability and Statistics for Engineering&＃160; Statistics for Data Science I &＃160; 3 &＃160; CSE&＃160;347 Analysis of Algorithms 3 Total Units 30 *Each of these core courses must be passed with a C- or better.&＃160; **Students who complete the Math 203 Honors Mathematics I and 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. &＃160; Elective Seven upper-level courses from Math or CSE can be chosen from the 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. At most one preapproved course from outside both departments can be selected.&＃8203; CSE&＃160;400&＃160;Independent Study &＃160;or&＃160; CSE&＃160;400E&＃160;Independent Study &＃160;may be taken for a maximum of 3 units and must be approved by a CS+Math review committee. Students may count either Math 456 or ESE 427 as an elective toward the major, but not both. Likewise, students may count either CSE 417T or ESE 417 as an elective toward the major, but not both.&＃160; List of Approved Electives Mathematics Code Title Units Math 350 Topics in Applied Mathematics 3 Math&＃160;370 Introduction to Combinatorics 3 Math&＃160;371 Graph Theory 3 Math 407 An Introduction to Differential Geometry 3 Math&＃160;4111 Introduction to Analysis 3 Math&＃160;4121 Introduction to Lebesgue Integration 3 Math&＃160;4171 Topology I 3 Math&＃160;429 Linear Algebra 3 Math&＃160;430 Modern Algebra 3 Math&＃160;4351 Number Theory and Cryptography 3 Math 444 Mathematics of Quantum Theory 3 Math&＃160;449 Numerical Applied Mathematics 3 Math&＃160;450 Topics in Applied Mathematics 3 Math&＃160;456 Topics in Financial Mathematics 3 Math 470 Topics in Graph Theory 3 Math&＃160;493C/SDS 493 Probability 3 Math&＃160;495C/SDS 495 Stochastic Processes 3 Statistics and Data Science 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&＃160; 3 SDS 4601 Statistical Learning&＃160; 3 SDS 461 Time Series Analysis&＃160; 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&＃160; 3 Computer Science & Engineering Code Title Units CSE&＃160;217A Introduction to Data Science 3 CSE 341T Parallel and Sequential Algorithms 3 CSE&＃160;411A AI and Society 3 CSE&＃160;412A Introduction to Artificial Intelligence 3 CSE&＃160;416A Analysis of Network Data 3 CSE&＃160;417T Introduction to Machine Learning 3 CSE&＃160;427S Cloud Computing with Big Data Applications 3 CSE&＃160;442T Introduction to Cryptography 3 CSE 447T Introduction to Formal Languages and Automata 3 CSE&＃160;468T Introduction to Quantum Computing 3 CSE 510A Deep Reinforcement Learning 3 CSE&＃160;513T Theory of Artificial Intelligence and Machine Learning 3 CSE&＃160;514A Data Mining 3 CSE&＃160;515T Bayesian Methods in Machine Learning 3 CSE&＃160;516A Multi-Agent Systems 3 CSE&＃160;517A Machine Learning 3 CSE&＃160;518A Human-in-the-Loop Computation 3 CSE&＃160;533T Coding and Information Theory for Data Science 3 CSE 531A AI for Health 3 CSE&＃160;534A Large-Scale Optimization for Data Science 3 CSE&＃160;541T Advanced Algorithms 3 CSE&＃160;543T Algorithms for Nonlinear Optimization 3 CSE&＃160;544T Special Topics in Computer Science Theory 3 CSE&＃160;546T Computational Geometry 3 CSE&＃160;554A Geometric Computing for Biomedicine 3 CSE&＃160;555T Adversarial AI 3 CSE&＃160;559A Computer Vision 3 CSE 561A Large Language Models 3 CSE&＃160;581T Approximation Algorithms 3 CSE&＃160;584A Algorithms for Biosequence Comparison 3 CSE&＃160;587A Algorithms for Computational Biology 3 CSE 659A Advances in Computer Vision 3 Electrical & Systems Engineering Code Title Units 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 Code Title Units LING 317 Introduction to Computational Linguistics 3 LING 427 &＃160;Computation and Learnability in Linguistic Theory 3 Economics Code Title Units Econ&＃160;4151 Applied Econometrics 3 Econ&＃160;467 Game Theory 3 Biology and Biomedical Sciences Code Title Units Biol&＃160;5657 Biological Neural Computation 3 Biomedical Engineering Code Title Units BME&＃160;470 Mathematics of Imaging Science 3 Additional Departmental Requirements 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.&＃160; The natural sciences requirement is for 8 units designated NSM (Natural Sciences and Mathematics) from any of the following departments: Anthropology, Biology, Chemistry, Earth 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.&＃160; 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. Second Major in Data Science The McKelvey School of Engineering and the College of Arts & Sciences developed a new major that efficiently captures the intersection of mathematics and statistics with computer science for data science. Second Major in Data Science Data Science Core Requirements (CR) CSE&＃160;131 Introduction to Computer Science 3 CSE&＃160;217A Introduction to Data Science 3 CSE&＃160;247 Data Structures and Algorithms 3 CSE&＃160;314A Data Manipulation and Management 3 CSE&＃160;417T Introduction to Machine Learning (or Math 4601 Statistical Learning) 3 Math&＃160;131 Calculus I 3 Math&＃160;132 Calculus II 3 Math&＃160;233 Calculus III 3 Math&＃160;309 Matrix Algebra 3 Math&＃160;3211 Statistics for Data Science I 3 Math&＃160;4211 Statistics for Data Science II 3 Math&＃160;439 Linear Statistical Models 3 Total Units &＃160; &＃160; &＃160; &＃160; &＃160; &＃160; &＃160; &＃160; &＃160; &＃160; &＃160; &＃160; &＃160; &＃160; &＃160; &＃160; &＃160; &＃160; &＃160; &＃160; &＃160; &＃160; &＃160; &＃160; &＃160; &＃160; &＃160; &＃160; &＃160; &＃160; &＃160; &＃160; &＃160; &＃160; &＃160; &＃160; &＃160;&＃160; &＃160;36 Each of these core courses must be passed with a grade of C- or better. Data Science Technical Electives Four courses from Mathematics & Statistics or Computer Science & Engineering can be chosen from an&＃160;approved list (below), with the following caveats: At least one course from Mathematics & Statistics (at the 400 level or above) At least one course from CSE (ending in S, T, M, or A) At most one course on the 200 level Ethics and Professional Responsibility Requirement (EPR) Three units of courses from an approved list (Below)&＃160; Practicum Requirement 3 units of an&＃160;approved comprehensive data science project or experience. A practicum must be approved by the committee of data science faculty. The practicum experience should be completed the next-to-last semester of study (i.e., first semester senior year). It is important that practicum plans be submitted for review prior to starting the project or course work to ensure the proposed work is sufficient for the objectives of the practicum. After the fact approvals are possible but not guaranteed. Appropriate practicum work is possible via Independent Study (CSE 400E or Math 400), or via project-focused classes, including (but not limited to) CSE 437S Software Engineering Workshop and CSE 454A Software Engineering for External Client. Students should contact course instructors in advance to identify the degree of agency the student will have over project selection and requirements.&＃160; Download the practicum here and contact the Undergraduate Coordinator in the CSE department office or the Math department office to initiate the approval process. List of Approved Technical Electives  Mathematics and Statistics Course List Code Title Units Math&＃160;322 Biostatistics 3 Math&＃160;420 Experimental Design 3 Math&＃160;434 Survival Analysis 3 Math&＃160;4392 Advanced Linear Statistical Models 3 Math&＃160;449 Numerical Applied Mathematics 3 Math&＃160;450 Topics in Applied Mathematics 3 Math&＃160;456 Topics in Financial Mathematics 3 Math&＃160;459 Bayesian Statistics 3 Math&＃160;460 Multivariate Statistical Analysis 3 Math 4601 Statistical Learning (Cannot be double-counted in CR) 3 Math&＃160;461 Time Series Analysis 3 Math&＃160;462 Mathematical Foundations of Big Data 3 Math&＃160;475 Statistical Computation 3 Math&＃160;493 Probability 3 Math&＃160;494 Mathematical Statistics 3 Math&＃160;495 Stochastic Processes 3 Math&＃160;5047 Geometry/Topology III: Differential Geometry 3 Math&＃160;5061 Theory of Statistics I 3 Math&＃160;5062 Theory of Statistics II 3 Math&＃160;5071 Linear Statistical Models Grad 3 Math&＃160;5072 Advanced Linear Models II 3 Computer Science & Engineering Course List Code Title Units CSE&＃160;237S Programming Tools and Techniques 3 CSE&＃160;256A Introduction to Human-Centered Design 3 CSE&＃160;311A Introduction to Intelligent Agents Using Science Fiction 3 CSE&＃160;347 Analysis of Algorithms 3 CSE&＃160;359A Signals, Data and Equity (Cannot be double-counted in EPR) 3 CSE&＃160;411A AI and Society (Cannot be double-counted in EPR) 3 CSE&＃160;412A Introduction to Artificial Intelligence 3 CSE&＃160;416A Analysis of Network Data 3 CSE&＃160;417T Introduction to Machine Learning (Cannot be double-counted in CR) 3 CSE&＃160;427S Cloud Computing with Big Data Applications 3 CSE&＃160;435S Database Management Systems 3 CSE&＃160;457A Introduction to Visualization 3 CSE&＃160;514A Data Mining 3 CSE&＃160;515T Bayesian Methods in Machine Learning 3 CSE&＃160;517A Machine Learning 3 CSE&＃160;518A Human-in-the-Loop Computation 3 CSE 527A Natural Language Processing 3 CSE 527S Data-driven Privacy and Security 3 CSE&＃160;534A Large-Scale Optimization for Data Science 3 CSE&＃160;543T Algorithms for Nonlinear Optimization 3 CSE&＃160;559A Computer Vision 3 Electrical and Systems Engineering&＃8203; Course List Code Title Units ESE&＃160;4031 Optimization for Engineered Planning, Decisions and Operations 3 ESE&＃160;415 Optimization 3 ESE&＃160;427 Financial Mathematics 3 Energy, Environmental & Chemical Engineering Course List Code Title Units EECE&＃160;202 Computational Modeling in Energy, Environmental and Chemical Engineering 3 Linguistics&＃160; Course List Code Title Units Ling&＃160;317 Introduction to Computational Linguistics 3 ​List of Approved EPR Courses Course List Course name Course description Units CSE 359A Signals, Data and Equity (Cannot be double-counted as an Elective) 3 CSE 411A AI and Society (Cannot be double-counted as an Elective) 3 Engr 4501 Engineering Ethics and Sustainability 1 Engr 4502 Engineering Leadership and Team Building 1 Engr 4503 Conflict Management and Negotiation 1 Engr 450F Engineers in the Community (Engineering Ethics, Leadership and Conflict Management) 3 Engr 520P Presentation Skills for Scientists and Engineers 2 MSB 512 Ethics in Biostatistics and Data Science 2 Related links Bachelor of Science in Business + Computer Science Bachelor of Science in Computer Engineering Bachelor of Science in Computer Science Bachelor of Science in Computer Science + Math Bachelor of Science in Computer Science + Economics Bachelor of Science in Data Science Minors Undergraduate Research Transfer Course Credit Resources for students Academic Calendar Bulletin Frequently Asked Questions Independent Study Form Undergraduate Student Services Previous Degree Requirements 2018-2019 2017-2018 2016-2017 2015-2016 2014-2015 2013-2014 2012-2013 Facebook Twitter LinkedIn Instagram YouTube Engineering Departments Biomedical Engineering Computer Science & Engineering Division of Engineering Education Electrical & Systems Engineering Energy, Environmental & Chemical Engineering Mechanical Engineering & Materials Science Sever Institute - professional degrees Technology & Leadership Center - training for industry Contact Us Washington University in St. Louis McKelvey School of Engineering MSC: 1045-213-1010J 1 Brookings Drive St. Louis, MO 63130-4899 Undergrad info: 314-935-6160 Grad info: 314-935-6132 Contact Us Resources COVID-19 Resources Canvas Directory Equity, Diversity & Inclusion Emergency Management Engineering IT Maps & Directions Make a Gift WebFAC / WebSTAC ©2024 Washington University in St. Louis. 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