WashU Robotics MEng
Washington University in St. Louis · McKelvey School of Engineering · St. Louis, Missouri, United States- Full time
- In person
- IELTS 6.5 or TOEFL 90, subject to the exact school waiver rule
Tuition, fees, living for 18 months, insurance, application, SEVIS and visa.
2026-27 tuition and mandatory fees
WashU graduate credits
full-time in-person route
full-time study
programme-specific status
TOEFL, IELTS, PTE or Duolingo
What is the WashU Robotics MEng?
This comparison covers the 30-credit, 18-month WashU Robotics MEng. The official 2026-27 record identifies a full-time, in-person master of engineering focused on robotics, autonomy and intelligent systems. It excludes online, part-time and similarly named WashU degrees, keeping the costs and admission analysis tied to one catalogue programme.
For an Indian applicant, the decision turns on three separate tests: whether prior study matches the published prerequisites; whether the file meets the school’s current admission and English rules; and whether INR 1.49 crore before flights and a housing deposit is defensible. The course map develops robot modelling, controls, perception and intelligent systems, ending in the robotics design project. That sequence should justify the cost without relying on the WashU name alone.
How much does the WashU Robotics MEng cost for an Indian student?
The current planning case is USD 155,136, about INR 1.49 crore. It combines the published 2026-27 tuition basis, mandatory school fees, a St. Louis living allowance for 18 months, health insurance where itemised, the application fee, SEVIS and the F-1 visa charge. It is a comparison model, not a WashU invoice.
| Item | INR | Local currency | When it is due |
|---|---|---|---|
| 2026-27 McKelvey full-time tuition | INR 99.62 lakh | USD 103,785 | Across the programme |
| Mandatory school and student fees | INR 1.05 lakh | USD 1,095 | Across enrolled terms |
| Housing, food, books, transport and personal costs for 18 months | INR 42.04 lakh | USD 43,800 | Budgeted through the study period |
| WashU student health insurance | INR 5.61 lakh | USD 5,846 | Billed annually for international students |
| Graduate application | INR 0.07 lakh | USD 75 | At application |
| SEVIS I-901 fee | INR 0.34 lakh | USD 350 | Before the visa interview |
| F-1 visa application | INR 0.18 lakh | USD 185 | At visa booking |
| Full-programme planning total | INR 1.49 crore | USD 155,136 | Before flights and a housing deposit |
The table treats the SEVIS and visa charges as separate payments. It does not add a second visa-maintenance total because the complete living plan already covers the study period. Converted at USD 1 = INR 95.99, using ECB reference rates dated 30 September 2026.
Graduate funding may include assistantships, fellowships, grants and scholarships; availability and conditions vary.WashU graduate financial support
Tuition follows the published school schedule for MEng Robotics and Intelligent Systems and the 30-credit route. A longer completion pattern or a later annual rate can increase it.
The living allowance covers housing, food, books, local transport and personal costs for 18 months. Rent choices can move this line more than small university fees.
Flights, foreign-exchange spreads, a housing deposit and contingency remain outside the table. Scholarships reduce the estimate only after a written award.
Refresh every figure against the offer, student account and I-20 funding instruction before paying a deposit.
Can an Indian candidate meet WashU Robotics MEng entry rules?
The first check uses the exact programme requirements, not a university-wide summary. The file needs a recognised bachelor’s degree, preparation in linear algebra, programming, controls and engineering analysis, the published English evidence and every required document. Academic history is reviewed in context, so no single indicator decides the result.
| Requirement | Published rule | What you do |
|---|---|---|
| Degree match (India) | a bachelor's degree from a recognised institution | Map the transcript to linear algebra, programming, controls and engineering analysis |
| Academic record (India) | WashU publishes holistic programme review rather than a universal admission GPA floor | Submit complete transcripts and grading context |
| English (India) | IELTS 6.5 or TOEFL 90, subject to the exact school waiver rule | Follow the exact school waiver and score rule |
| GRE or GMAT (India) | GRE or GMAT not routinely required | Follow the exact programme rule |
| Academic purpose (India) | A coherent reason for advancing into robotics, autonomy and intelligent systems | Connect earlier work sample to the published culminating assessment |
| International records (India) | Original-language records with complete official English translations where needed | Do not upload self-translated or incomplete records |
The first transcript audit should find concrete proof of robot modelling. A useful audit records the module title, mark, credit weight and syllabus topic so an assessor does not have to infer readiness from the institution name.
Next, isolate work sample for controls. A laboratory, project or substantial assignment is stronger than a list of buzzwords because it shows what was built, measured or decided and what limitations remained.
The statement should explain why perception is the next academic step and why WashU’s intelligent systems route serves it. Repeating the degree webpage does not answer that personal progression question.
Finally, English, recommendations and translations remain independent document checks. A file that clears the academic match can remain incomplete if an accepted score, literal translation or required referee response is missing.
Within MEng Robotics and Intelligent Systems, the relationship between robot modelling and perception is a readiness test for robotics engineer ambitions. A file showing only controls leaves the intelligent systems part of this academic progression unexplained.
A future robotics software engineer still needs documented preparation in linear algebra, programming, controls and engineering analysis. For MEng Robotics and Intelligent Systems, career intent cannot substitute for that academic base, while the academic record remains one part of a broader selection model.
MEng Robotics and Intelligent Systems readiness check 1 connects robot modelling with ESE 4170. It isn’t enough to name that background: MEng Robotics and Intelligent Systems applicants should point to assessed work, the method used and the result that an admissions reader can verify.
MEng Robotics and Intelligent Systems readiness check 2 connects controls with ESE 5510. It isn’t enough to name that background: MEng Robotics and Intelligent Systems applicants should point to assessed work, the method used and the result that an admissions reader can verify.
MEng Robotics and Intelligent Systems readiness check 3 connects perception with ESE 4450. It isn’t enough to name that background: MEng Robotics and Intelligent Systems applicants should point to assessed work, the method used and the result that an admissions reader can verify.
MEng Robotics and Intelligent Systems readiness check 4 connects intelligent systems with CSE 5100. It isn’t enough to name that background: MEng Robotics and Intelligent Systems applicants should point to assessed work, the method used and the result that an admissions reader can verify.
MEng Robotics and Intelligent Systems readiness check 5 connects robot modelling with CSE 4102. It isn’t enough to name that background: MEng Robotics and Intelligent Systems applicants should point to assessed work, the method used and the result that an admissions reader can verify.
MEng Robotics and Intelligent Systems links ESE 4170 Introduction to Machine Learning and Pattern Classification with prior evidence in robot modelling. A transcript supports that link when assessed work shows linear algebra, programming, controls and engineering analysis; career interest alone does not establish academic readiness for this particular WashU sequence.
MEng Robotics and Intelligent Systems links ESE 5510 Linear Dynamic Systems I with prior evidence in controls. A transcript supports that link when assessed work shows linear algebra, programming, controls and engineering analysis; career interest alone does not establish academic readiness for this particular WashU sequence.
MEng Robotics and Intelligent Systems links ESE 4450 Sensing, Planning, and Control in Robotics with prior evidence in perception. A transcript supports that link when assessed work shows linear algebra, programming, controls and engineering analysis; career interest alone does not establish academic readiness for this particular WashU sequence.
Undergraduate degree, $75 fee, transcripts, three recommendations, statement and CV/resume. GRE optional. English floor unless exempted: IELTS 6.5, DET 125, GATEWAY 495, or TOEFL 5.0 new / at least 90 old.
Three checks that can block a MEng Robotics and Intelligent Systems application
A profile indicator is not an offer promise
WashU publishes holistic programme review rather than a universal admission GPA floor. Review can still distinguish candidates through subject depth, statement quality, recommendations and the completed file.
The degree title cannot prove prerequisites
A broad Indian degree name may hide whether linear algebra, programming, controls and engineering analysis was studied. Add syllabi or official descriptions when course titles do not make the preparation clear.
English rules can be degree-specific
IELTS 6.5 or TOEFL 90, subject to the exact school waiver rule. Accepted tests, waiver evidence and score validity must follow the exact school rule in force for the intended intake.
How should an Indian applicant apply for WashU Robotics MEng?
Apply through the school’s official graduate route. Fall full-time deadline 1 March 2027; recurring early-decision date 31 December. Submit earlier for transcript evaluation, funding evidence, I-20 production and visa preparation. A personal buffer of at least 12 weeks is sensible before intended travel; that is planning advice, not WashU’s processing promise.
Select the exact campus programme, upload academic and programme documents, pay the application fee, monitor the applicant portal, clear offer conditions, document funding, and complete the I-20 and F-1 process.
| Start by | Task | Takes | Why this date |
|---|---|---|---|
| 01 Oct 2026 | Complete English evidence | 75 days | Meet IELTS 6.5 or TOEFL 90, subject to the exact school waiver rule with time for one retake. |
| 03 Nov 2026 | Audit the course match | 14 days | Match prior study to linear algebra, programming, controls and engineering analysis and the published GPA rule. |
| 17 Nov 2026 | Prepare programme documents | 28 days | Collect official records, translations, statement, CV and any required recommendations or test. |
| 15 Dec 2026 | Submit the WashU application | 1 day | Use the exact campus-immersion plan and keep the receipt. |
| 16 Dec 2026 | Clear conditions and prepare F-1 | 75 days | Fund the offer, obtain the I-20, pay SEVIS and book the visa process. |
The allowances are Nbyula planning estimates, not processing times published by Washington University in St. Louis.
Build the file around Robot Modelling and Controls, not around a generic WashU statement. Use earlier coursework or employment to show readiness, then identify the gap that the published curriculum is meant to close.
The programme reports fall full-time deadline 1 march 2027; recurring early-decision date 31 december. A priority date can be followed by space-available review, while a final date closes the published window. Neither should be confused with the separate international I-20 timing needed to reach campus.
After admission, read the offer and My WashU task list line by line. Financial guarantee, final transcripts, immunisation records and I-20 processing can each continue after the academic decision and can each delay enrolment if ignored.
For F-1 planning, check the SEVIS I-901 step and the US visa fee page directly. Fee payment does not guarantee a visa, and a programme offer does not replace consular review.
This page covers full-time campus study. Where WashU also lists Online, select the campus-immersion plan because the visa and STEM-OPT discussion does not apply to WashU Online in the same way.
What jobs can follow WashU Robotics MEng?
The study plan supports directions such as robotics engineer, autonomy engineer, controls engineer and robotics software engineer. The university presents this course as STEM designated. The OPT framework is work authorisation rather than a placement or sponsorship guarantee. Each direction still needs role-specific, inspectable work samples.
| Measure | Finding | Basis |
|---|---|---|
| Robot Modelling | Robotics Engineer | Work sample from Robot Modelling |
| Controls | Autonomy Engineer | Work sample from Controls |
| Perception | Controls Engineer | Role direction inferred from the study plan |
| Guaranteed placement or sponsorship | None published | No exact-degree guarantee located |
These are study plan-linked directions for MEng Robotics and Intelligent Systems, not a measured probability of employment, salary, visa sponsorship or promotion.
For a robotics engineer application, preserve the brief, inputs, method, decisions and limitations from Robot Modelling. That record gives a recruiter something more reliable than a transcript line or a claim that the degree was practical.
The autonomy engineer route needs a different proof item from Controls. Explain the trade-off made, the work sample rejected and the effect of uncertainty so the work shows judgement rather than only tool familiarity.
A candidate aiming at controls engineer should use the culminating assessment to join both samples around one problem. A coherent portfolio can then show progression across the degree without asking the WashU name to stand in for capability.
F-1 graduates can normally seek up to 12 months of OPT, and an eligible STEM degree may support a further 24-month extension if every rule is met. The USCIS STEM-OPT guidance controls that process and does not require any employer to hire the graduate.
MEng Robotics and Intelligent Systems outcome check 1 uses CSE 5105 Bayesian Methods in Machine Learning for a possible robotics engineer direction. It doesn’t turn course credit into a hiring promise; MEng Robotics and Intelligent Systems students still need a retained artefact that shows the decision, evidence and limitation.
MEng Robotics and Intelligent Systems outcome check 2 uses CSE 5109 Advanced Machine Learning for a possible autonomy engineer direction. It doesn’t turn course credit into a hiring promise; MEng Robotics and Intelligent Systems students still need a retained artefact that shows the decision, evidence and limitation.
MEng Robotics and Intelligent Systems outcome check 3 uses CSE 5270 Natural Language Processing for a possible controls engineer direction. It doesn’t turn course credit into a hiring promise; MEng Robotics and Intelligent Systems students still need a retained artefact that shows the decision, evidence and limitation.
MEng Robotics and Intelligent Systems outcome check 4 uses CSE 5403 Algorithms for Nonlinear Optimization for a possible robotics software engineer direction. It doesn’t turn course credit into a hiring promise; MEng Robotics and Intelligent Systems students still need a retained artefact that shows the decision, evidence and limitation.
MEng Robotics and Intelligent Systems outcome check 5 uses CSE 5509 Computer Vision for a possible robotics engineer direction. It doesn’t turn course credit into a hiring promise; MEng Robotics and Intelligent Systems students still need a retained artefact that shows the decision, evidence and limitation.
Within MEng Robotics and Intelligent Systems, CSE 5100 Deep Reinforcement Learning can support a robotics engineer direction when its assessed output demonstrates controls. The course title by itself is not evidence of employment, salary, sponsorship or professional licensure.
Within MEng Robotics and Intelligent Systems, CSE 4102 Introduction to Artificial Intelligence can support a autonomy engineer direction when its assessed output demonstrates perception. The course title by itself is not evidence of employment, salary, sponsorship or professional licensure.
Within MEng Robotics and Intelligent Systems, CSE 5105 Bayesian Methods in Machine Learning can support a controls engineer direction when its assessed output demonstrates intelligent systems. The course title by itself is not evidence of employment, salary, sponsorship or professional licensure.
The 2024-25 profile records 1 MEng Robotics degree. It does not give placement or salary results.
Who is WashU Robotics MEng for, and who should avoid it?
A strong fit already has linear algebra, programming, controls and engineering analysis, wants assessed work sample in perception and can fund INR 1.49 crore without promised employment. A weak fit needs foundational repair, wants a different technical centre or depends on uncertain US earnings to make the course affordable.
| Verdict | Your background | Why |
|---|---|---|
| Strong fit | Prepared for robot modelling | Earlier study supports progression into Robot Modelling. |
| Strong fit | Needs work sample in intelligent systems | The published culminating route can produce inspectable work. |
| Needs evidence | Still choosing between robotics engineer and autonomy engineer | Electives must turn that uncertainty into one coherent capability map. |
| Needs evidence | Funding is close to the ceiling | The INR 1.49 crore case excludes flights and a housing deposit. |
| Do not shortlist | Needs basic preparation before controls | Graduate credits are too expensive to use mainly for prerequisite repair. |
| Do not shortlist | Needs a guaranteed US placement | No course-level job or sponsorship guarantee supports that assumption. |
The positive academic test begins with Robot Modelling. A suitable entrant recognises its foundation from earlier work but still needs WashU’s graduate-level treatment to solve harder problems in robotics, autonomy and intelligent systems.
The next fit question concerns Controls. It should add a method or system that the candidate cannot already demonstrate. If it mostly repeats a strong undergraduate module, examine the elective freedom before paying for the overlap.
The professional test is whether a robotics engineer hiring manager can inspect output from perception. A useful artefact states the problem, data or constraints, the chosen method, the result and the limits of that result.
Someone pursuing autonomy engineer work must also value intelligent systems. If that part of the degree consumes substantial assessed time but has little use in the intended role, a differently structured master’s may be the better buy.
The final academic trade-off sits in the choice among project, thesis, portfolio or examination where WashU lists them. A thesis serves research depth, an applied project serves delivery work sample, and a portfolio serves synthesis. Only routes actually published for this degree belong in the decision.
Affordability is separate from academic fit. The estimate uses USD 1 at INR 95.99, so exchange movement changes the rupee amount even when WashU leaves a dollar charge unchanged.
The campus choice also matters. This page uses St. Louis, Missouri and in-person study. An candidate selecting an online version would face different attendance, visa and work-authorisation consequences and should not reuse this page’s F-1 assumptions.
Applicants can ask current MEng Robotics and Intelligent Systems students about access to preferred electives, team formation, faculty supervision and the weekly load. The research pass did not locate three independent exact-degree accounts, so those lived details remain questions rather than reported facts.
MEng Robotics and Intelligent Systems fit check 1 asks whether CSE 5519 Advances in Computer Vision advances controls. Prior exposure can’t settle that alone: compare the WashU syllabus with earlier assignments and identify the capability MEng Robotics and Intelligent Systems would add rather than repeat.
MEng Robotics and Intelligent Systems fit check 2 asks whether CSE 5610 Large Language Models advances perception. Prior exposure can’t settle that alone: compare the WashU syllabus with earlier assignments and identify the capability MEng Robotics and Intelligent Systems would add rather than repeat.
MEng Robotics and Intelligent Systems fit check 3 asks whether ESE 4150 Optimization advances intelligent systems. Prior exposure can’t settle that alone: compare the WashU syllabus with earlier assignments and identify the capability MEng Robotics and Intelligent Systems would add rather than repeat.
MEng Robotics and Intelligent Systems fit check 4 asks whether CSE 5106 Multi-Agent Systems advances robot modelling. Prior exposure can’t settle that alone: compare the WashU syllabus with earlier assignments and identify the capability MEng Robotics and Intelligent Systems would add rather than repeat.
MEng Robotics and Intelligent Systems fit check 5 asks whether CSE 5370 Trustworthy Autonomy advances controls. Prior exposure can’t settle that alone: compare the WashU syllabus with earlier assignments and identify the capability MEng Robotics and Intelligent Systems would add rather than repeat.
The fit question for MEng Robotics and Intelligent Systems becomes concrete when the published curriculum adds perception. Someone targeting autonomy engineer work benefits when that study closes a documented gap; it is weaker value when an earlier degree already proves the same capability.
The fit question for MEng Robotics and Intelligent Systems becomes concrete when the published curriculum adds intelligent systems. Someone targeting controls engineer work benefits when that study closes a documented gap; it is weaker value when an earlier degree already proves the same capability.
The fit question for MEng Robotics and Intelligent Systems becomes concrete when the published curriculum adds robot modelling. Someone targeting robotics software engineer work benefits when that study closes a documented gap; it is weaker value when an earlier degree already proves the same capability.
Exact Bulletin identity: Robotics and Intelligent Systems, MEng (also referred to as MEngR in the Bulletin text).
McKelvey lists Robotics and Intelligent Systems under Full-Time Master’s programs. The Bulletin permits full- or part-time course study; the project/thesis route is expressly for full-time study. This file covers the full-time St. Louis route.
30 units. The course route combines required robotics/AI/autonomy/control study and electives; project/thesis options use at least 24 coursework units plus 6 project/research units. No fixed total duration is published.
What changed from the older robotics curriculum and which incoming class follows the new requirements?
What mechanics, controls, probability, linear algebra and programming preparation is assumed?
How much physical robot/lab work exists versus simulation, AI and systems coursework?
Can students complete a project or thesis, and how are advisers/lab places secured?
Which robotics domains-autonomy, perception, controls, human-robot interaction-can form a coherent plan from scheduled courses?
What outcomes evidence exists for the relaunched programme?
What does the WashU Robotics MEng curriculum contain?
The 2026-27 WashU Bulletin requires 30 credits. The table retains named required and elective choices from the published plan; alternatives are not a claim that every student completes every row. Build an approved individual plan with the programme adviser before registration.
| Code | Component | WashU graduate credits | Notes |
|---|---|---|---|
| ESE 4170 | Introduction to Machine Learning and Pattern Classification | 3.0 | Published under Required Courses (12 units) |
| ESE 5510 | Linear Dynamic Systems I | 3.0 | Published under Required Courses (12 units) |
| ESE 4450 | Sensing, Planning, and Control in Robotics | 3.0 | Published under Required Courses (12 units) |
| CSE 5100 | Deep Reinforcement Learning | 3.0 | Published under Required Courses (12 units) |
| CSE 4102 | Introduction to Artificial Intelligence | 3.0 | Published under AI/ML & Optimization |
| CSE 5105 | Bayesian Methods in Machine Learning | 3.0 | Published under AI/ML & Optimization |
| CSE 5109 | Advanced Machine Learning | 3.0 | Published under AI/ML & Optimization |
| CSE 5270 | Natural Language Processing | 3.0 | Published under AI/ML & Optimization |
| CSE 5403 | Algorithms for Nonlinear Optimization | 3.0 | Published under AI/ML & Optimization |
| CSE 5509 | Computer Vision | 3.0 | Published under AI/ML & Optimization |
| CSE 5519 | Advances in Computer Vision | 3.0 | Published under AI/ML & Optimization |
| CSE 5610 | Large Language Models | 3.0 | Published under AI/ML & Optimization |
| ESE 4150 | Optimization | 3.0 | Published under AI/ML & Optimization |
| CSE 5106 | Multi-Agent Systems | 3.0 | Published under Autonomy & Systems Science |
| CSE 5370 | Trustworthy Autonomy | 3.0 | Published under Autonomy & Systems Science |
| ESE 4210 | Decision and Estimation Theory for Discrete Stochastic Processes | 3.0 | Published under Autonomy & Systems Science |
| ESE 4460 | Robotics: Dynamics and Control | 3.0 | Published under Autonomy & Systems Science |
| ESE 5530 | Nonlinear Dynamic Systems | 3.0 | Published under Autonomy & Systems Science |
| ESE 5430 | Control Systems Design By State Space Methods | 3.0 | Published under Autonomy & Systems Science |
| ESE 4480 | Control Systems Design Laboratory | 3.0 | Published under Robotics & Control Labs |
| ESE 4481 | Autonomous Aerial Vehicle Control Laboratory | 3.0 | Published under Robotics & Control Labs |
| ESE 7998 | Masters Research | 3.0 | Published under Course Option |
| ESE 7970 | Masters Project | 3.0 | Published under Thesis or Project Option |
| ESE 5980 | Electrical & Systems Engineering Graduate Seminar | 3.0 | Published under Robotics & Control Labs |
| CSE 4107 | Introduction to Machine Learning | 3.0 | Published under Degree Electives |
| ENGR 3180 | Engineering Mathematics A | 3.0 | Published under Degree Electives |
| ENGR 3190 | Engineering Mathematics B | 3.0 | Published under Degree Electives |
| ESE 5010 | Mathematics of Modern Engineering I | 3.0 | Published under Degree Electives |
| Total | 30 |
- Complete 30 approved graduate credit hours.
- Follow the published choice among the robotics design project.
- Confirm approved electives, prerequisites and the plan of study with the academic unit.
Use the required sequence to establish readiness for Robot Modelling, then choose electives that deepen perception instead of creating several disconnected introductions. The official plan of study remains the authority for what can count together.
WashU can revise course availability and approved lists. Recheck every code, credit value, campus offering and culminating route before accepting an offer, especially where the catalogue publishes an area rather than a closed list of named electives.
Should an Indian candidate shortlist the WashU Robotics MEng?
Shortlist the WashU Robotics MEng when your transcript already supports linear algebra, programming, controls and engineering analysis, your intended work uses perception and the full INR 1.49 crore plan is fundable without depending on uncertain work income. Each of those remains a separate threshold.
The strongest case connects Robot Modelling to Controls, then uses the culminating route to create inspectable proof. That is a clearer reason to choose this degree than a general wish to study at a large US university.
Applicants should not choose MEng Robotics and Intelligent Systems for work-authorisation assumptions alone. The 30-credit course must justify the INR 1.49 crore planning case before flights and a housing deposit; WashU publishes no guaranteed job, salary or sponsorship outcome for this exact degree.
- WashU Robotics MEng is a 30-credit, full-time in-person master's at St. Louis, Missouri.
- Academic review weighs the complete record and preparation in linear algebra, programming, controls and engineering analysis.
- The working English reference is IELTS 6.5 or the published CEC TOEFL alternative.
- The working Fall 2027 point is fall full-time deadline 1 march 2027; recurring early-decision date 31 december.
- The conservative full-programme planning case is USD 155,136, about INR 1.49 crore.
- STEM-OPT eligibility can support an extension application but does not guarantee employment or sponsorship.
Frequently asked questions
How much is WashU Robotics MEng for an Indian student?
The current planning total is USD 155,136, about INR 1.49 crore. It includes minimum-credit tuition, programme fees, 18 months of living costs, SHIP, application, SEVIS and visa fees, but excludes flights, exchange spreads and a housing deposit.
What GPA is required for WashU Robotics MEng?
WashU publishes holistic programme review rather than a universal admission GPA floor. The school can still assess subject preparation, statements, recommendations and the complete file. A stronger transcript does not replace missing prerequisite work for the named curriculum.
Is WashU Robotics MEng available full time on campus?
Yes. WashU lists an in-person option at St. Louis, Missouri, and this page covers full-time campus study only. Some selected WashU degrees also advertise an Online modality. Do not transfer the F-1 visa, campus-cost or STEM-OPT assumptions here to an online enrolment without checking the university and immigration rules.
What is the Fall 2027 deadline for WashU Robotics MEng?
The working programme point is fall full-time deadline 1 march 2027; recurring early-decision date 31 december. Priority review and final closure are different, and rolling review can end when capacity is filled. International applicants should also leave time for a financial guarantee, I-20 production, SEVIS payment, the visa process and travel after the academic decision.
Is WashU Robotics MEng STEM-OPT eligible?
WashU marks the degree STEM designated. An eligible F-1 graduate can normally use up to 12 months of post-completion OPT and may apply for a 24-month STEM extension when the degree, employer, timing and reporting rules are satisfied. Eligibility is not a job, salary, sponsorship or visa guarantee.
What should an Indian applicant prepare for WashU Robotics MEng?
Prepare complete academic records, official English translations where needed, accepted English evidence and every programme-specific item on the degree page. Map previous study to linear algebra, programming, controls and engineering analysis. Add the statement, CV, recommendations or test scores the programme requests, then keep funding proof ready for the post-admission financial guarantee.
Sources
These sources support the programme, admission, cost, experience and immigration information used on this page.
Sources checked on September 30, 2026. Current intake information follows. Fall 2027 full-time in-person.
| No. | Source | Evidence role |
|---|---|---|
| 01 | WashU 2026-27 Bulletin, Robotics and Intelligent Systems, MEng | Core programme evidence |
| 02 | WashU 2026-27 school tuition and fees | Core programme evidence |
| 03 | WashU graduate cost of attendance | Core programme evidence |
| 04 | WashU school admission requirements | Core programme evidence |
| 05 | WashU English proficiency requirements | Core programme evidence |
| 06 | ICE SEVIS I-901 fee | Core programme evidence |
| 07 | US Department of State visa fees | Core programme evidence |
| 08 | USCIS Optional Practical Training | Core programme evidence |
| 09 | USCIS STEM OPT extension | Core programme evidence |
| 10 | Research Organization Registry, Washington University in St. Louis | Core programme evidence |
| 11 | European Central Bank reference rates | Core programme evidence |
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