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Skip to content Information for: 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 •The Preston M. Green Department of Electrical & Systems Engineering Academics Academics The world needs difference-makers. 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Faculty Directory Faculty Openings Research Areas Applied Physics Devices & Circuits Signals & Imaging Systems Science Faculty & Research Main Menu News & Events Featured News NSF invests in semiconductor research in McKelvey School of Engineering Sang-Hoon Bae and Mark Lawrence received a total of $3.8 million for collaborative research projects on the future of semiconductor design and manufacturing 11.02.2023 --> News & Events Get involved and stay informed. Upcoming Events Latest News Academic Calendar Departmental Seminars Main Menu About Us About Us We're here to create a positive impact in the world. About Us About the chair Advisory Boards Alumni Equity, Diversity & Inclusion Leadership Media 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 Graduate Programs Master's & Certificate Programs MS in Engineering Data Analytics & Statistics Master's & Certificate Programs MS in Engineering Data Analytics & Statistics Related links MS in Electrical EngineeringMS in Systems Science & MathematicsGraduate Certificate in Imaging Science & EngineeringGraduate Certificate in Quantum EngineeringGraduate Certificate in ControlsPolicies & ProceduresGraduate Certificate in Financial Engineering Invest in yourself by pursuing a master's in engineering data analytics and statistics. Graduate with the knowledge, skills and personal network you'll need to join the next generation of elite data analysts.&＃160; The Master of Science in Engineering Data Analytics and Statistics (MSDAS) is an academic master's degree designed for students interested in gaining advanced expertise in the use and application of cutting-edge software and analytical&＃160;tools to collect, analyze, model and optimize data.&＃160;This interdisciplinary field is at the intersection of systems science, mathematics, and computer science and engineering, all of which are required in the rapidly changing world of analytics and data science.&＃160; Employer demand for analytics-enabled graduates continues to grow. Students upon graduation have gone to work in industry as researchers, analysts and software engineers at companies such as; Amazon, Bayer, Bosch, Citigroup, Deloitte Consulting LLP, The Federal Reserve, and GE. Admissions Process Meet the Faculty Research Areas Department Chair's Master's Fellowship Suggested Academic Requirements for Prospective Students It is recommended that incoming students earn a baccalaureate degree in engineering or another STEM-related degree. In earning that degree, it is recommended that students take the following upper-level courses: Calculus Sequence and Differential Equations Probability and Statistics Matrix Algebra Introductory Computer Science More advanced topics in Computer Science such as Data Structures are also helpful, but may be added after admission to the program. Knowledge of a scientific or quantitative social science field is encouraged but not necessary for success in the program. Degree Requirements for Current Students Students pursuing the Master of Science in Engineering Data Analytics & Statistics (MSDAS) must complete a minimum of 30 units of&＃160;study (which may include optionally 6 units for thesis) consistent with the residency and other applicable requirements of Washington University and the McKelvey School of Engineering and subject to the following departmental requirements: A minimum of 15 of the total 30 units must be selected from the Degree Requirement list below for core electrical engineering subjects taught by the Department of Electrical & Systems Engineering (ESE) A maximum of 6 credits may be transferred from another institution and applied toward the master's degree. Regardless of the subject or level, all transfer courses are treated as electives and do not count toward the core requirements for the degree. ESE&＃160;590&＃160;Electrical & Systems Engineering Graduate Seminar&＃160;must be taken by full-time graduate students each semester. This course is taken with the unsatisfactory/satisfactory grade option. The degree program must be consistent with the residency and other applicable requirements of Washington University and the McKelvey School of Engineering. The remaining courses in the program, listed in the Degree Electives list below, may be selected from senior or graduate-level courses in ESE or elsewhere in the university. Courses outside of ESE must be in technical subjects relevant to electrical engineering and require the department's approval. Undergraduate Laboratory courses may not be used to satisfy this requirement. Students must obtain a cumulative grade-point average of at least 3.0 out of a possible 4.0 overall for courses applied toward the degree. Courses that apply toward the degree must be taken with the credit/letter grade option. Refer to the University Bulletin&＃160;for the specific requirements for this degree. Archived bulletins are available for those who were admitted to the program prior to the current academic year. Either a thesis option or a course option may be selected. The special requirements for these options are as follows: Thesis Option: This option is intended for those pursuing full-time study and engaged in research projects. Candidates for this degree must complete a minimum of 24 units of course instruction and 6 units of thesis research (ESE&＃160;599); 3 of these units of thesis research may be applied toward the 15 core electrical engineering units required for the MSEE program. Any of these 6 units of thesis research may be applied as electives for the MSEE, MSSSM, and&＃160;MSDAS programs. The student must write a master's thesis and defend it in an oral examination. Course Option:&＃160;Under the course option, students may not take ESE&＃160;599 Master's Research. With faculty permission, they may take up to 3 units of&＃160;graduate-level independent study. Required Courses (15 units)&＃160; Course Number Course Name ESE 417CSE 417TCSE 517A Introduction to Machine Learning and Pattern Classification&＃160;or&＃160;Introduction to Machine Learning orMachine Learning ESE 415ESE 513 Optimization orLarge Scale Optimization for Data Science ESE 520 Probability and Stochastic Processes&＃160; ESE 524 Detection and Estimation Theory&＃160; ESE 527 Practicum in Data Analytics and Statistics&＃160; Degree Electives (9 units) Course Number Course Name Math 439Math&＃160;459Math&＃160;461Math&＃160;475Math 494 Linear Statistical ModelsBayesian StatisticsTime Series AnalysisStatistical ComputationMathematical Statistics CSE&＃160;412A&＃160;CSE&＃160;427SCSE&＃160;514ACSE&＃160;515TCSE&＃160;517A Introduction to Artificial IntelligenceCloud Computing with Big Data Applications Data MiningBayesian Methods in Machine Learning&＃160;Machine Learning* ESE&＃160;4261ESE 427ESE&＃160;513ESE&＃160;523ESE 551 Statistical Methods for Data Analysis with Applications to Financial EngineeringFinancial MathematicsLarge-Scale Optimization for Data Science*Information TheoryLinear Dynamic Systems 1 * This course can be taken as an elective if it is not taken to satisfy a requirement.&＃160; Free Electives (up to 6 units) Students may take up to 6 units of free electives.&＃160;Any course numbered 401 or greater in the Engineering (with the prefix of BME, CSE, EECE, ESE, or MEMS), Physics or Mathematics department, excluding the exceptions listed below, are approved by the department as electives. Additionally, Finance courses FIN 500Q, FIN 550F and FIN 537 as well as courses with a DAT designation and number of 500 or above, except for DAT 561, may be used as free electives. Students may take either ESE 417 or CSE 417T, but they may not use both as electives for the degree. For students who have already taken ESE 318 & 319, ESE 501 may not be used as an elective for graduate credit. Additionally, the following courses are&＃160;NOT&＃160;approved by the department as electives. Requests for an exception to this policy may be submitted to the graduate program coordinator with the approval of the student's academic advisor. Course Numbers Unapproved Electives CSE 501N, 504N, 505N CSE 465MEECE 405, 421, 424, 425ESE 435, 447, 449, 465, 488, 4480, 4481&＃160;MEMS 405 Undergraduate lab courses ESE 400, 497,&＃160;498,&＃160;499 Any undergraduate research, independent study, senior design or capstone course Start your application Frequently asked questions for Master's degree students Resources Contact Madi HesterGraduate Program [email protected] Hall, Room 1101 General [email protected] *For questions regarding your application please contact&＃160;Graduate Student Services Resources for Current Students Master's Student Handbook Graduate Bulletin Academic Calendar Master's Certificates Forms for Students Master's Thesis Request Master's Transfer Credit Request Master's Independent Study Request Master's Thesis Final Defense Approval Master's Request for Leave of Absence Master's Thesis Committee Financial Information Tuition & Financial Assistance for Graduate Students International Students E60 505: Communication Tools for Academic and Professional Success The McKelvey School of Engineering requires all incoming international students who submit a TOEFL or IETLS score or has not obtained a minimum of three years of education in the U.S. to take a course in communication. This new course was first offered in Fall of 2018. This course does not cost extra for full-time students and is not counted toward the degree or the GPA. 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: 1042‐207‐1101 1 Brookings Drive St. Louis, MO 63130-4899 Phone: 314-935-5565 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. Policies