WashU Olin MS Business Analytics

What is the WashU Olin MS Business Analytics?

This comparison covers the 39-credit, 18-month WashU Olin MS Business Analytics. The official 2026-27 record identifies a full-time, in-person master of science focused on analytics for business decisions. 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 1.50 crore before flights and a housing deposit is defensible. The course map develops machine learning, SQL and cloud data, visual analytics and business decisions, ending in an experiential analytics course. That sequence should justify the cost without relying on the WashU name alone.

How much does the WashU Olin MS Business Analytics cost for an Indian student?

The current planning case is USD 156,030, about INR 1.50 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 MS Business Analytics and the 39-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 India prospective student meet WashU Olin MS Business Analytics 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 statistics, programming and quantitative problem solving, 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 machine learning. 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 SQL and cloud data. 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 visual analytics is the next academic step and why WashU’s business decisions 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 MS Business Analytics, the relationship between machine learning and visual analytics is a readiness test for business analyst ambitions. A file showing only SQL and cloud data leaves the business decisions part of this academic progression unexplained.

A future decision scientist still needs documented preparation in statistics, programming and quantitative problem solving. For MS Business Analytics, career intent cannot substitute for that academic base, while the academic record remains one part of a broader selection model.

MS Business Analytics readiness check 1 connects machine learning with DAT 5550. It isn’t enough to name that background: MS Business Analytics applicants should point to assessed work, the method used and the result that an admissions reader can verify.

MS Business Analytics readiness check 2 connects SQL and cloud data with DAT 5561. It isn’t enough to name that background: MS Business Analytics applicants should point to assessed work, the method used and the result that an admissions reader can verify.

MS Business Analytics readiness check 3 connects visual analytics with DAT 5562. It isn’t enough to name that background: MS Business Analytics applicants should point to assessed work, the method used and the result that an admissions reader can verify.

MS Business Analytics readiness check 4 connects business decisions with DAT 5563. It isn’t enough to name that background: MS Business Analytics applicants should point to assessed work, the method used and the result that an admissions reader can verify.

MS Business Analytics readiness check 5 connects machine learning with DAT 5564. It isn’t enough to name that background: MS Business Analytics applicants should point to assessed work, the method used and the result that an admissions reader can verify.

MS Business Analytics links DAT 5550 Machine Learning Tools for Prediction of Business Outcomes with prior evidence in machine learning. A transcript supports that link when assessed work shows statistics, programming and quantitative problem solving; career interest alone does not establish academic readiness for this particular WashU sequence.

MS Business Analytics links DAT 5561 Introduction to Python and Data Science with prior evidence in SQL and cloud data. A transcript supports that link when assessed work shows statistics, programming and quantitative problem solving; career interest alone does not establish academic readiness for this particular WashU sequence.

MS Business Analytics links DAT 5562 Text Mining with prior evidence in visual analytics. A transcript supports that link when assessed work shows statistics, programming and quantitative problem solving; career interest alone does not establish academic readiness for this particular WashU sequence.

Fall 2027 rounds: 8 October 2026, 7 January 2027, 25 February 2027 and 15 April 2027; rolling review after 15 April if space remains.

Olin requires an accredited undergraduate degree comparable to a US bachelor’s (and says most international three-year degrees meet the requirement), transcripts, resume, personal statement, career essay and interview video. GMAT/GRE is recommended rather than required. No application fee is charged.

Published English floors, unless exempted: IELTS Academic 6.5, Duolingo 125, GATEWAY 495, or TOEFL 5.0 on the new scale / at least 90 on the old scale.

Three checks that can block a MS Business Analytics 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 statistics, programming and quantitative problem solving 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, Duolingo 125, GATEWAY 495, or TOEFL 5.0 new scale / 90 old scale, unless exempt. 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 Olin MS Business Analytics?

Apply through the school’s official graduate route. Fall 2027 rounds close 15 April 2027; earlier rounds are 8 October, 7 January and 25 February. 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 the academic and programme documents, submit the no-fee application, monitor the portal, clear offer conditions, document funding, and complete the I-20 and F-1 process.

The allowances are Nbyula planning estimates, not processing times published by Washington University in St. Louis.

Build the file around Machine Learning and Sql And Cloud Data, 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 rounds close 15 april 2027; earlier rounds are 8 october, 7 january and 25 february. 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 Olin MS Business Analytics?

The academic map supports directions such as business analyst, analytics consultant, BI analyst and decision scientist. 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.

Olin's cohort result is graduation evidence. The role directions are curriculum-linked possibilities, not measured employment, salary, sponsorship or promotion probabilities.

For a business analyst application, preserve the brief, inputs, method, decisions and limitations from Machine Learning. That record gives a recruiter something more reliable than a transcript line or a claim that the degree was practical.

The analytics consultant route needs a different proof item from Sql And Cloud Data. 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 BI 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.

MS Business Analytics outcome check 1 uses DAT 5566 Big Data and Cloud Computing for a possible business analyst direction. It doesn’t turn course credit into a hiring promise; MS Business Analytics students still need a retained artefact that shows the decision, evidence and limitation.

MS Business Analytics outcome check 2 uses DAT 5567 Prescriptive Analytics for a possible analytics consultant direction. It doesn’t turn course credit into a hiring promise; MS Business Analytics students still need a retained artefact that shows the decision, evidence and limitation.

MS Business Analytics outcome check 3 uses MGT 5600 Professional Business Communication for a possible BI analyst direction. It doesn’t turn course credit into a hiring promise; MS Business Analytics students still need a retained artefact that shows the decision, evidence and limitation.

MS Business Analytics outcome check 4 uses MKT 5569 A/B Testing in Business and Social Science for a possible decision scientist direction. It doesn’t turn course credit into a hiring promise; MS Business Analytics students still need a retained artefact that shows the decision, evidence and limitation.

MS Business Analytics outcome check 5 uses ACCT 5012 Managerial Accounting for a possible business analyst direction. It doesn’t turn course credit into a hiring promise; MS Business Analytics students still need a retained artefact that shows the decision, evidence and limitation.

Within MS Business Analytics, DAT 5563 Data Visualization for Business Insights can support a business analyst direction when its assessed output demonstrates SQL and cloud data. The course title by itself is not evidence of employment, salary, sponsorship or professional licensure.

Within MS Business Analytics, DAT 5564 Database Design and SQL can support an analytics consultant direction when its assessed output demonstrates visual analytics. The course title by itself is not evidence of employment, salary, sponsorship or professional licensure.

Within MS Business Analytics, DAT 5566 Big Data and Cloud Computing can support a BI analyst direction when its assessed output demonstrates business decisions. The course title by itself is not evidence of employment, salary, sponsorship or professional licensure.

Olin reports 1,080 enrolled and 1,045 graduated among 2017-2021 admitted cohorts, a 97% graduation rate. This is completion evidence, not placement or salary evidence.

Who is WashU Olin MS Business Analytics for, and who should avoid it?

A strong fit already has statistics, programming and quantitative problem solving, wants assessed proof in visual analytics and can fund INR 1.50 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 Machine Learning. A suitable entrant recognises its foundation from existing work but still needs WashU’s graduate-level treatment to solve harder problems in analytics for business decisions.

The next fit question concerns Sql And Cloud Data. It should add a method or system that the prospective student 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 business analyst hiring manager can inspect output from visual analytics. A useful artefact states the problem, data or constraints, the chosen method, the result and the limits of that result.

Someone pursuing analytics consultant work must also value business decisions. 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. A prospective student 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 Business Analytics 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.

MS Business Analytics fit check 1 asks whether ACCT 5013 Ethics I advances SQL and cloud data. Prior exposure can’t settle that alone: compare the WashU syllabus with earlier assignments and identify the capability MS Business Analytics would add rather than repeat.

MS Business Analytics fit check 2 asks whether ACCT 5030 Business Analysis Using Financial Statements advances visual analytics. Prior exposure can’t settle that alone: compare the WashU syllabus with earlier assignments and identify the capability MS Business Analytics would add rather than repeat.

MS Business Analytics fit check 3 asks whether ACCT 5031 Advanced Business Analysis Using Financial Statements advances business decisions. Prior exposure can’t settle that alone: compare the WashU syllabus with earlier assignments and identify the capability MS Business Analytics would add rather than repeat.

MS Business Analytics fit check 4 asks whether ACCT 5105 Financial Reporting & Assurance in a Blockchain World advances machine learning. Prior exposure can’t settle that alone: compare the WashU syllabus with earlier assignments and identify the capability MS Business Analytics would add rather than repeat.

MS Business Analytics fit check 5 asks whether ACCT 5550 Accounting Policy and Research advances SQL and cloud data. Prior exposure can’t settle that alone: compare the WashU syllabus with earlier assignments and identify the capability MS Business Analytics would add rather than repeat.

The fit question for MS Business Analytics becomes concrete when the published curriculum adds visual analytics. Someone targeting analytics consultant 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 Business Analytics becomes concrete when the published curriculum adds business decisions. Someone targeting BI 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 MS Business Analytics becomes concrete when the published curriculum adds machine learning. Someone targeting decision scientist work benefits when that study closes a documented gap; it is weaker value when an earlier degree already proves the same capability.

The 2026-27 Bulletin title is Master of Science in Business Analytics (MSA). This is Olin’s on-campus specialised master’s programme, not an online analytics degree.

Full-time/on-campus evidence: Olin’s application page is explicitly for on-campus specialized master’s programs; the Bulletin describes a three-semester cohort with in-person orientation, and the fee page prices three flat-rate semesters. The selected route is full time in St. Louis.

39 credits over three semesters (about 18 months).

The common core is 18 credits; the remaining track requirements and electives vary among Accounting Analytics, Customer Analytics, FinTech Analytics, Healthcare Analytics, Supply Chain Analytics and Talent Analytics.

Which analytics concentration fits product, accounting, customer, healthcare, fintech or supply-chain goals, and can students change after entry?

How much programming, statistics and calculus is assumed before the first term?

What proportion of the curriculum is technical modelling versus business interpretation and communication?

Is an internship structurally realistic in a three-semester sequence, and which term leaves room for it?

What programme-specific employment evidence exists: job functions, employers, geography, reporting cohort and response rate?

What is the full programme cost, including mandatory fees, insurance and living months, rather than an annual or first-year number?

What does the WashU Olin MS Business Analytics curriculum contain?

The 2026-27 WashU Bulletin requires 39 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.

• Complete 39 approved graduate credit hours.
• Follow the published choice among an experiential analytics course.
• Confirm approved electives, prerequisites and the plan of study with the academic unit.

Use the required sequence to establish readiness for Machine Learning, then choose electives that deepen visual analytics 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 India prospective student shortlist the WashU Olin MS Business Analytics?

Shortlist the WashU Olin MS Business Analytics when your transcript already supports statistics, programming and quantitative problem solving, your intended work uses visual analytics and the full INR 1.50 crore plan is fundable without depending on uncertain work income. Each of those remains a separate threshold.

The strongest case connects Machine Learning to Sql And Cloud Data, 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 MS Business Analytics for work-authorisation assumptions alone. The 39-credit course must justify the INR 1.50 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.