WashU Applied Data Science MA

What is the WashU Applied Data Science MA?

This comparison covers the 30-credit, 18-month WashU Applied Data Science MA. The official 2026-27 record identifies a full-time, in-person master of arts focused on statistical modelling, computation and applied data science. 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 1.48 crore before flights and a housing deposit is defensible. The course map develops statistical inference, linear models, statistical computing and applied data science, ending in optional thesis research or the course-only pathway. That sequence should justify the cost without relying on the WashU name alone.

How much does the WashU Applied Data Science MA cost for an Indian student?

The current planning case is USD 154,101, about INR 1.48 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.

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 MA Statistics and Data Science Applied Data 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 Applied Data Science MA 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 calculus, linear algebra, probability, statistics and programming, the published English evidence and every required document. Academic history is reviewed in context, so no single indicator decides the result.

The first transcript audit should find concrete proof of statistical inference. 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 proof for linear models. 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 statistical computing is the next academic step and why WashU’s applied data science route serves it. Repeating the master’s 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 MA Statistics and Data Science Applied Data Science, the relationship between statistical inference and statistical computing is a readiness test for data scientist ambitions. A file showing only linear models leaves the applied data science part of this academic progression unexplained.

A future quantitative researcher still needs documented preparation in calculus, linear algebra, probability, statistics and programming. For MA Statistics and Data Science Applied Data Science, career intent cannot substitute for that academic base, while the academic record remains one part of a broader selection model.

MA Statistics and Data Science Applied Data Science readiness check 1 connects statistical inference with SDS 5005. It isn’t enough to name that background: MA Statistics and Data Science Applied Data Science applicants should point to assessed work, the method used and the result that an admissions reader can verify.

MA Statistics and Data Science Applied Data Science readiness check 2 connects linear models with SDS 5130. It isn’t enough to name that background: MA Statistics and Data Science Applied Data Science applicants should point to assessed work, the method used and the result that an admissions reader can verify.

MA Statistics and Data Science Applied Data Science readiness check 3 connects statistical computing with SDS 5210. It isn’t enough to name that background: MA Statistics and Data Science Applied Data Science applicants should point to assessed work, the method used and the result that an admissions reader can verify.

MA Statistics and Data Science Applied Data Science readiness check 4 connects applied data science with SDS 5215. It isn’t enough to name that background: MA Statistics and Data Science Applied Data Science applicants should point to assessed work, the method used and the result that an admissions reader can verify.

MA Statistics and Data Science Applied Data Science readiness check 5 connects statistical inference with SDS 5910. It isn’t enough to name that background: MA Statistics and Data Science Applied Data Science applicants should point to assessed work, the method used and the result that an admissions reader can verify.

MA Statistics and Data Science Applied Data Science links SDS 5005 Essentials of Probability Models and Statistical Inference with prior evidence in statistical inference. A transcript supports that link when assessed work shows calculus, linear algebra, probability, statistics and programming; career interest alone does not establish academic readiness for this particular WashU sequence.

MA Statistics and Data Science Applied Data Science links SDS 5130 Linear Statistical Models with prior evidence in linear models. A transcript supports that link when assessed work shows calculus, linear algebra, probability, statistics and programming; career interest alone does not establish academic readiness for this particular WashU sequence.

MA Statistics and Data Science Applied Data Science links SDS 5210 Statistical Computation with prior evidence in statistical computing. A transcript supports that link when assessed work shows calculus, linear algebra, probability, statistics and programming; career interest alone does not establish academic readiness for this particular WashU sequence.

Arts & Sciences requires a bachelor’s equivalent, strong relevant background, good academic standing, $45 fee, transcripts, recommendations and programme-specific statements/CV. 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 MA Statistics and Data Science Applied Data Science application

1. 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.

2. The degree title cannot prove prerequisites

   A broad Indian degree name may hide whether calculus, linear algebra, probability, statistics and programming was studied. Add syllabi or official descriptions when course titles do not make the preparation clear.

3. English rules can be master's-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 Applied Data Science MA?

Apply through the school’s official graduate route. Fall 2027 deadline not yet published as of 30 September 2026. 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.

The allowances are preparation estimates, not deadlines or processing times published by Washington University in St. Louis. Start dates remain unconfirmed.

Build the file around Statistical Inference and Linear Models, 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 2027 deadline not yet published as of 30 september 2026. 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.

What jobs can follow WashU Applied Data Science MA?

The study plan supports directions such as data scientist, statistical analyst, machine learning analyst and quantitative 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.

These are study plan-linked directions for MA Statistics and Data Science Applied Data Science, not a measured probability of employment, salary, visa sponsorship or promotion.

For a data scientist application, preserve the brief, inputs, method, decisions and limitations from Statistical Inference. That record gives a recruiter something more reliable than a transcript line or a claim that the degree was practical.

The statistical analyst route needs a different proof item from Linear Models. Explain the trade-off made, the proof rejected and the effect of uncertainty so the work shows judgement rather than only tool familiarity.

A candidate aiming at machine learning analyst 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.

MA Statistics and Data Science Applied Data Science outcome check 1 uses BBS 5483 Human Genetic Analysis for a possible data scientist direction. It doesn’t turn course credit into a hiring promise; MA Statistics and Data Science Applied Data Science students still need a retained artefact that shows the decision, evidence and limitation.

MA Statistics and Data Science Applied Data Science outcome check 2 uses BIOL 5181 Population Genetics for a possible statistical analyst direction. It doesn’t turn course credit into a hiring promise; MA Statistics and Data Science Applied Data Science students still need a retained artefact that shows the decision, evidence and limitation.

MA Statistics and Data Science Applied Data Science outcome check 3 uses BIOL 5220 Practical Bioinformatics for a possible machine learning analyst direction. It doesn’t turn course credit into a hiring promise; MA Statistics and Data Science Applied Data Science students still need a retained artefact that shows the decision, evidence and limitation.

MA Statistics and Data Science Applied Data Science outcome check 4 uses CSE 5100 Deep Reinforcement Learning for a possible quantitative researcher direction. It doesn’t turn course credit into a hiring promise; MA Statistics and Data Science Applied Data Science students still need a retained artefact that shows the decision, evidence and limitation.

MA Statistics and Data Science Applied Data Science outcome check 5 uses CSE 5104 Data Mining for a possible data scientist direction. It doesn’t turn course credit into a hiring promise; MA Statistics and Data Science Applied Data Science students still need a retained artefact that shows the decision, evidence and limitation.

Within MA Statistics and Data Science Applied Data Science, SDS 5215 Python for Data Science can support a data scientist direction when its assessed output demonstrates linear models. The course title by itself is not evidence of employment, salary, sponsorship or professional licensure.

Within MA Statistics and Data Science Applied Data Science, SDS 5910 Practical Training in Statistics can support a statistical analyst direction when its assessed output demonstrates statistical computing. The course title by itself is not evidence of employment, salary, sponsorship or professional licensure.

Within MA Statistics and Data Science Applied Data Science, BBS 5483 Human Genetic Analysis can support a machine learning analyst direction when its assessed output demonstrates applied data science. The course title by itself is not evidence of employment, salary, sponsorship or professional licensure.

The department says its master’s and PhD graduates obtain positions in universities, government and industry as statisticians/data scientists, but publishes no cohort denominator, placement rate or salary. The institutional degree profile does not isolate this concentration.

Who is WashU Applied Data Science MA for, and who should avoid it?

A strong fit already has calculus, linear algebra, probability, statistics and programming, wants assessed proof in statistical computing and can fund INR 1.48 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.

The positive academic test begins with Statistical Inference. A suitable entrant recognises its foundation from earlier work but still needs WashU’s graduate-level treatment to solve harder problems in statistical modelling, computation and applied data science.

The next fit question concerns Linear Models. 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 data scientist hiring manager can inspect output from statistical computing. A useful artefact states the problem, data or constraints, the chosen method, the result and the limits of that result.

Someone pursuing statistical analyst work must also value applied data science. 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 proof, and a portfolio serves synthesis. Only routes actually published for this master’s 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 MA Statistics and Data Science Applied Data Science students about access to preferred electives, team formation, faculty supervision and the weekly load. The research pass did not locate three independent exact-master’s accounts, so those lived details remain questions rather than reported facts.

MA Statistics and Data Science Applied Data Science fit check 1 asks whether CSE 5105 Bayesian Methods in Machine Learning advances linear models. Prior exposure can’t settle that alone: compare the WashU syllabus with earlier assignments and identify the capability MA Statistics and Data Science Applied Data Science would add rather than repeat.

MA Statistics and Data Science Applied Data Science fit check 2 asks whether CSE 5107 Machine Learning advances statistical computing. Prior exposure can’t settle that alone: compare the WashU syllabus with earlier assignments and identify the capability MA Statistics and Data Science Applied Data Science would add rather than repeat.

MA Statistics and Data Science Applied Data Science fit check 3 asks whether CSE 5109 Advanced Machine Learning advances applied data science. Prior exposure can’t settle that alone: compare the WashU syllabus with earlier assignments and identify the capability MA Statistics and Data Science Applied Data Science would add rather than repeat.

MA Statistics and Data Science Applied Data Science fit check 4 asks whether CSE 5270 Natural Language Processing advances statistical inference. Prior exposure can’t settle that alone: compare the WashU syllabus with earlier assignments and identify the capability MA Statistics and Data Science Applied Data Science would add rather than repeat.

MA Statistics and Data Science Applied Data Science fit check 5 asks whether CSE 5610 Large Language Models advances linear models. Prior exposure can’t settle that alone: compare the WashU syllabus with earlier assignments and identify the capability MA Statistics and Data Science Applied Data Science would add rather than repeat.

The fit question for MA Statistics and Data Science Applied Data Science becomes concrete when the published curriculum adds statistical computing. Someone targeting statistical analyst 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 MA Statistics and Data Science Applied Data Science becomes concrete when the published curriculum adds applied data science. Someone targeting machine learning analyst 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 MA Statistics and Data Science Applied Data Science becomes concrete when the published curriculum adds statistical inference. Someone targeting quantitative researcher 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: Statistics and Data Science, MA, Applied Data Science Concentration.

The Bulletin requires 9 graduate units each semester to retain full-time status (or an approved zero-unit full-time-status course near completion). The selected degree is campus study in St. Louis; no online version of this concentration was identified.

30 units over three to four semesters: 12 concentration-required units plus 18 electives. An optional thesis adds 6 research units, bringing the total to 36; thesis eligibility requires a 3.5 GPA after the first 18 units.

Is the external, full-time MA route open to international applicants, distinct from the WashU-only accelerated pathway?

What is the difference between the Applied Data Science and Statistics concentrations?

Which mathematical and programming prerequisites are assumed?

How do the 30-unit course route and optional 36-unit thesis route change time, cost and career fit?

What industry project, internship and career support exists for the first cohorts?

What outcomes can be stated before programme-specific graduates exist?

What does the WashU Applied Data Science MA 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.

The note “Published under Electives (18 units)” applies to 35 components in this table.

• Complete 30 approved graduate credit hours.
• Follow the published choice among optional thesis research or the course-only pathway.
• Confirm approved electives, prerequisites and the plan of study with the academic unit.

Use the required sequence to establish readiness for Statistical Inference, then choose electives that deepen statistical computing 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 Applied Data Science MA?

Shortlist the WashU Applied Data Science MA when your transcript already supports calculus, linear algebra, probability, statistics and programming, your intended work uses statistical computing and the full INR 1.48 crore plan is fundable without depending on uncertain work income. Each of those remains a separate threshold.

The strongest case connects Statistical Inference to Linear Models, then uses the culminating route to create inspectable proof. That is a clearer reason to choose this master's than a general wish to study at a large US university.

Applicants should not choose MA Statistics and Data Science Applied Data Science for work-authorisation assumptions alone. The 30-credit course must justify the INR 1.48 crore planning case before flights and a housing deposit; WashU publishes no guaranteed job, salary or sponsorship outcome for this exact degree.

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.