申请材料清单

Application Fee ($75)

Fees are payable by credit card or electronic-check issued from a United States banking institution.

Unofficial copies of all transcripts

Transcripts must list the applicant’s name, name of the institution, and all grades received, in English.

Three Letters of Recommendation

Input recommendation providers' names and email addresses. Recommendation providers are automatically sent an

email requesting a recommendation.

Statement of Purpose & Resume/CV

The Statement of Purpose should be a brief document explaining your goals and ambitions.

GRE Scores

GRE scores are required for all PhD and full-time Master’s applicants with the exception of applicants to the M. Eng. in

Biomedical Innovation degree program.

GRE scores are not required for applicants to part-time Master’s or the Bachelor’s/Master’s programs.

If submitting scores, applicants must report their official scores via ETS at the time of application submission for evaluation purposes. The WashU School Code is 6929.

TOEFL/IELTS

Required for all international applicants.

We only accept paper copies of the official IELTS score report sent to our institution; electronic copies are not accepted. The address is:

WashU School of Engineering & Applied Science

Attention: Graduate Admissions

1 Brookings Drive, CB 1220

Note: This requirement may be waived if the applicant has a minimum of three years of documented study at an

English-speaking institution, in a country where English is the primary language of daily living. Based on the evaluation

of your application package, we retain the right to require English testing upon arrival and you may be required to take

additional English classes. If you are recommended to take English classes, the cost of the courses will be your

专业介绍

The MS in Data Analytics and Statistics is an academic master's degree designed for students interested in learning statistical techniques necessary to make informed decisions based on data analysis.

推荐课程

• E35 ESE 500 Independent Study
• E35 ESE 501 Mathematics of Modern Engineering I
• E35 ESE 502 Mathematics of Modern Engineering II
• E35 ESE 512 Advanced Numerical Analysis
• E35 ESE 513 Convex Optimization and Duality Theory
• E35 ESE 514 Calculus of Variations
• E35 ESE 516 Optimization in Function Space
• E35 ESE 517 Partial Differential Equations
• E35 ESE 518 Optimization Methods in Control
• E35 ESE 519 Convex Optimization
• E35 ESE 520 Probability and Stochastic Processes
• E35 ESE 521 Random Variables and Stochastic Processes I
• E35 ESE 523 Information Theory
• E35 ESE 524 Detection and Estimation Theory
• E35 ESE 529 Special Topics in Information Theory and Applied Probability
• E35 ESE 531 Nano and Micro Photonics
• E35 ESE 532 Introduction to Nano-Photonic Devices
• E35 ESE 534 Special Topics in Advanced Electrodynamics
• E35 ESE 536 Introduction to Quantum Optics
• E35 ESE 538 Advanced Electromagnetic Engineering
• E35 ESE 543 Control Systems Design by State Space Methods
• E35 ESE 544 Optimization and Optimal Control
• E35 ESE 545 Stochastic Control
• E35 ESE 546 Dynamics & Control in Neuroscience & Brain Medicine
• E35 ESE 547 Robust and Adaptive Control
• E35 ESE 549 Special Topics in Control
• E35 ESE 551 Linear Dynamic Systems I
• E35 ESE 552 Linear Dynamic Systems II
• E35 ESE 553 Nonlinear Dynamic Systems
• E35 ESE 554 Advanced Nonlinear Dynamic Systems
• E35 ESE 557 Hybrid Dynamic Systems
• E35 ESE 559 Special Topics in Systems
• E35 ESE 560 Computer Systems Architecture I
• E35 ESE 561 Computer Systems Architecture II
• E35 ESE 562 Analog Integrated Circuits
• E35 ESE 565 Acceleration of Algorithms in Reconfigurable Logic
• E35 ESE 566A Modern System-on-Chip Design
• E35 ESE 567 Computer Systems Analysis
• E35 ESE 569 Parallel Architectures and Algorithms
• E35 ESE 570 Coding Theory
• E35 ESE 571 Transmission Systems and Multiplexing
• E35 ESE 572 Signaling and Control in Communication Networks
• E35 ESE 575 Fiber-Optic Communications
• E35 ESE 581 Radar Systems
• E35 ESE 582 Fundamentals and Applications of Modern Optical Imaging
• E35 ESE 584 Statistical Signal Processing for Sensor Arrays
• E35 ESE 588 Quantitative Image Processing
• E35 ESE 589 Biological Imaging Technology
• E35 ESE 590 Electrical & Systems Engineering Graduate Seminar
• E35 ESE 596 Seminar in Imaging Science and Engineering
• E35 ESE 599 Master's Research
• E35 ESE 600 Doctoral Research
• E35 ESE 883 Master's Continuing Student Status