WashU MS Computer Science
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 MS Computer Science?
This comparison covers the 30-credit, 18-month WashU MS Computer Science. The official 2026-27 record identifies a full-time, in-person master of science focused on advanced software and computing 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 algorithms, software systems, machine learning and a computing specialism, ending in a course, project or thesis route. That sequence should justify the cost without relying on the WashU name alone.
How much does the WashU MS Computer Science 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 MS Computer Science 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 applicant meet WashU MS Computer Science 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 programming, data structures, algorithms and discrete mathematics, 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 programming, data structures, algorithms and discrete mathematics |
| 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 advanced software and computing systems | Connect existing documented proof 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 algorithms. 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 documented proof for software systems. 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 machine learning is the next academic step and why WashU’s a computing specialism route serves it. Repeating the course 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 MS Computer Science, the relationship between algorithms and machine learning is a readiness test for software engineer ambitions. A file showing only software systems leaves the a computing specialism part of this academic progression unexplained.
A future computing researcher still needs documented preparation in programming, data structures, algorithms and discrete mathematics. For MS Computer Science, career intent cannot substitute for that academic base, while the academic record remains one part of a broader selection model.
MS Computer Science readiness check 1 connects algorithms with CSE 1301. It isn’t enough to name that background: MS Computer Science applicants should point to assessed work, the method used and the result that an admissions reader can verify.
MS Computer Science readiness check 2 connects software systems with CSE 2407. It isn’t enough to name that background: MS Computer Science applicants should point to assessed work, the method used and the result that an admissions reader can verify.
MS Computer Science readiness check 3 connects machine learning with CSE 7998. It isn’t enough to name that background: MS Computer Science applicants should point to assessed work, the method used and the result that an admissions reader can verify.
MS Computer Science readiness check 4 connects a computing specialism with CSE 7998. It isn’t enough to name that background: MS Computer Science applicants should point to assessed work, the method used and the result that an admissions reader can verify.
MS Computer Science readiness check 5 connects algorithms with CSE 4000. It isn’t enough to name that background: MS Computer Science applicants should point to assessed work, the method used and the result that an admissions reader can verify.
MS Computer Science links CSE 1301 Introduction to Computer Science with prior evidence in algorithms. A transcript supports that link when assessed work shows programming, data structures, algorithms and discrete mathematics; career interest alone does not establish academic readiness for this particular WashU sequence.
MS Computer Science links CSE 2407 Data Structures and Algorithms with prior evidence in software systems. A transcript supports that link when assessed work shows programming, data structures, algorithms and discrete mathematics; career interest alone does not establish academic readiness for this particular WashU sequence.
MS Computer Science links CSE 7998 Master’s Capstone with prior evidence in machine learning. A transcript supports that link when assessed work shows programming, data structures, algorithms and discrete mathematics; career interest alone does not establish academic readiness for this particular WashU sequence.
McKelvey requires an earned undergraduate degree by enrolment, $75 application fee, transcripts, three recommendations, 1-2 page statement and resume/CV. GRE is optional for full-time master’s applicants.
International English minimum unless exempted: IELTS 6.5, Duolingo 125, GATEWAY 495, or TOEFL 5.0 new scale / at least 90 old scale.
Three checks that can block a MS Computer Science 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 programming, data structures, algorithms and discrete mathematics was studied. Add syllabi or official descriptions when course titles do not make the preparation clear.
English rules can be course-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 MS Computer Science?
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 programming, data structures, algorithms and discrete mathematics 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 Algorithms and Software Systems, 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 MS Computer Science?
The academic map supports directions such as software engineer, systems engineer, data infrastructure engineer and computing researcher. 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 |
|---|---|---|
| Algorithms | Software Engineer | Documented proof from Algorithms |
| Software Systems | Systems Engineer | Documented proof from Software Systems |
| Machine Learning | Data Infrastructure Engineer | Role direction inferred from the academic map |
| Guaranteed placement or sponsorship | None published | No exact-course guarantee located |
These are academic map-linked directions for MS Computer Science, not a measured probability of employment, salary, visa sponsorship or promotion.
For a software engineer application, preserve the brief, inputs, method, decisions and limitations from Algorithms. That record gives a recruiter something more reliable than a transcript line or a claim that the degree was practical.
The systems engineer route needs a different proof item from Software Systems. Explain the trade-off made, the documented proof rejected and the effect of uncertainty so the work shows judgement rather than only tool familiarity.
A candidate aiming at data infrastructure 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.
MS Computer Science outcome check 1 uses CSE 5999 Independent Study for a possible software engineer direction. It doesn’t turn course credit into a hiring promise; MS Computer Science students still need a retained artefact that shows the decision, evidence and limitation.
MS Computer Science outcome check 2 uses CSE 7998 Master’s Capstone for a possible systems engineer direction. It doesn’t turn course credit into a hiring promise; MS Computer Science students still need a retained artefact that shows the decision, evidence and limitation.
MS Computer Science outcome check 3 uses the a computing specialism study area for a possible data infrastructure engineer direction. It doesn’t turn course credit into a hiring promise; MS Computer Science students still need a retained artefact that shows the decision, evidence and limitation.
MS Computer Science outcome check 4 uses the algorithms study area for a possible computing researcher direction. It doesn’t turn course credit into a hiring promise; MS Computer Science students still need a retained artefact that shows the decision, evidence and limitation.
MS Computer Science outcome check 5 uses the software systems study area for a possible software engineer direction. It doesn’t turn course credit into a hiring promise; MS Computer Science students still need a retained artefact that shows the decision, evidence and limitation.
Within MS Computer Science, CSE 7998 Master’s Capstone can support a software engineer direction when its assessed output demonstrates software systems. The course title by itself is not evidence of employment, salary, sponsorship or professional licensure.
Within MS Computer Science, CSE 4000 Independent Study can support a systems engineer direction when its assessed output demonstrates machine learning. The course title by itself is not evidence of employment, salary, sponsorship or professional licensure.
Within MS Computer Science, CSE 5999 Independent Study can support a data infrastructure engineer direction when its assessed output demonstrates a computing specialism. The course title by itself is not evidence of employment, salary, sponsorship or professional licensure.
WashU’s 2024-25 degree profile reports 93 MS Computer Science degrees. This is completion volume, not a placement or salary result.
Who is WashU MS Computer Science for, and who should avoid it?
A strong fit already has programming, data structures, algorithms and discrete mathematics, wants assessed documented proof in machine learning 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 algorithms | Earlier study supports progression into Algorithms. |
| Strong fit | Needs documented proof in a computing specialism | The published culminating route can produce inspectable work. |
| Needs evidence | Still choosing between software engineer and systems 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 software systems | 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 Algorithms. A suitable entrant recognises its foundation from existing work but still needs WashU’s graduate-level treatment to solve harder problems in advanced software and computing systems.
The next fit question concerns Software Systems. It should add a method or system that the applicant 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 software engineer hiring manager can inspect output from machine learning. A useful artefact states the problem, data or constraints, the chosen method, the result and the limits of that result.
Someone pursuing systems engineer work must also value a computing specialism. 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 documented proof, and a portfolio serves synthesis. Only routes actually published for this course 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 applicant 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 MS Computer Science students about access to preferred electives, team formation, faculty supervision and the weekly load. The research pass did not locate three independent exact-course accounts, so those lived details remain questions rather than reported facts.
MS Computer Science fit check 1 asks whether the machine learning study area advances software systems. Prior exposure can’t settle that alone: compare the WashU syllabus with earlier assignments and identify the capability MS Computer Science would add rather than repeat.
MS Computer Science fit check 2 asks whether the a computing specialism study area advances machine learning. Prior exposure can’t settle that alone: compare the WashU syllabus with earlier assignments and identify the capability MS Computer Science would add rather than repeat.
MS Computer Science fit check 3 asks whether the algorithms study area advances a computing specialism. Prior exposure can’t settle that alone: compare the WashU syllabus with earlier assignments and identify the capability MS Computer Science would add rather than repeat.
MS Computer Science fit check 4 asks whether the software systems study area advances algorithms. Prior exposure can’t settle that alone: compare the WashU syllabus with earlier assignments and identify the capability MS Computer Science would add rather than repeat.
MS Computer Science fit check 5 asks whether the machine learning study area advances software systems. Prior exposure can’t settle that alone: compare the WashU syllabus with earlier assignments and identify the capability MS Computer Science would add rather than repeat.
The fit question for MS Computer Science becomes concrete when the published curriculum adds machine learning. Someone targeting systems 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 MS Computer Science becomes concrete when the published curriculum adds a computing specialism. Someone targeting data infrastructure 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 MS Computer Science becomes concrete when the published curriculum adds algorithms. Someone targeting computing researcher work benefits when that study closes a documented gap; it is weaker value when an earlier degree already proves the same capability.
Exact 2026-27 Bulletin identity: Computer Science, MS (CSE).
McKelvey lists Computer Science under its Full-Time Master’s programs. The selected route is full-time study in St. Louis; the standard fall full-time deadline and full-time tuition schedule apply.
30 graduate units. The course option has breadth and departmental requirements; project/thesis routes use 3 or 6 units of CSE 7998 Master’s Capstone after successful defence. The Bulletin does not prescribe one fixed number of semesters.
Which backgrounds are genuinely ready, and can foundation courses count towards the 30 units?
What are realistic one-, three- and four-semester plans, especially for internship eligibility and workload?
How do course-only, project and thesis routes affect adviser access, research depth and graduation timing?
How much room exists for AI, systems, HCI or data electives after core and breadth rules?
Are salary figures specific to MSCS graduates, current, and based on a meaningful reporting cohort?
How does MSCS differ from the MEng CSE and MS Computer Engineering for software-career applicants?
What does the WashU MS Computer Science 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 |
|---|---|---|---|
| CSE 1301 | Introduction to Computer Science | 3.0 | Published under Published degree requirement |
| CSE 2407 | Data Structures and Algorithms | 3.0 | Published under Published degree requirement |
| CSE 7998 | Master's Capstone | 3.0 | Published under Thesis/Project Option |
| CSE 4000 | Independent Study | 3.0 | Published under General Degree Requirements |
| CSE 5999 | Independent Study | 3.0 | Published under General Degree Requirements |
| Total | 30 |
- Complete 30 approved graduate credit hours.
- Follow the published choice among a course, project or thesis route.
- Confirm approved electives, prerequisites and the plan of study with the academic unit.
Use the required sequence to establish readiness for Algorithms, then choose electives that deepen machine learning 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 applicant shortlist the WashU MS Computer Science?
Shortlist the WashU MS Computer Science when your transcript already supports programming, data structures, algorithms and discrete mathematics, your intended work uses machine learning 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 Algorithms to Software Systems, then uses the culminating route to create inspectable proof. That is a clearer reason to choose this course than a general wish to study at a large US university.
Applicants should not choose MS Computer Science 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 MS Computer Science is a 30-credit, full-time in-person master's at St. Louis, Missouri.
- Academic review weighs the complete record and preparation in programming, data structures, algorithms and discrete mathematics.
- 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 MS Computer Science 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 MS Computer Science?
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 MS Computer Science 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 MS Computer Science?
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 MS Computer Science 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 MS Computer Science?
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 programming, data structures, algorithms and discrete mathematics. 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, Computer Science, MS (CSE) | 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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