Fordham MS Data Science

What is the Fordham MS Data Science?

Fordham MS Data Science is a full-time 30-credit Master of Science for campus study at Lincoln Center. It centres on data science, machine learning and computational modelling. Budget USD 138,642, roughly INR 1.33 crore for the minimum-credit route at the latest published rates. Fordham has not issued a 2027-28 price.

The degree moves through machine learning, big-data systems, statistical modelling and capstone practice. Its final assessed route follows the programme’s published applied or research option. Readers can compare that structure with your earlier study before treating the Fordham brand as sufficient reason to apply. The name doesn’t settle the comparison. This page is written for Fall 2027, while Fordham has not yet published 2027-28 tuition.

How much does the Fordham MS Data Science cost for an Indian student?

The minimum-credit current-rate planning case is USD 138,642, about INR 1.33 crore. It combines Fordham’s latest 2026-27 charges, official New York living categories, health insurance, application where published, SEVIS and the F-1 visa fee. It doesn’t include assigned preparatory or foundation courses and is not a 2027-28 quote.

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 96.00 using ECB reference-rate inputs checked on 8 October 2026. Fordham has not published 2027-28 tuition.

Graduate funding may include assistantships, fellowships, grants and scholarships; availability and conditions vary.Fordham graduate financial support

Tuition uses the latest published 2026-27 cis graduate tuition and the minimum 30-credit degree plan. Assigned prerequisites sit outside that total. A multi-year route can cost more if Fordham raises later-year rates.

The fee line uses a transparent 3-term planning assumption. The living line prorates Fordham Law’s itemised nine-month New York allowance across 18 months; neither assumption is an individual invoice.

Health insurance is shown separately because a student with approved comparable cover may obtain a waiver. You shouldn’t deduct it until Fordham approves that waiver.

Flights, exchange spreads, a housing deposit and contingency remain outside the table. You can’t reduce the total for scholarships until there is a written award.

Fordham has not published 2027-28 tuition. Refresh every charge against the student account and school fee page before enrolment.

Can an Indian applicant meet Fordham MS Data Science entry rules?

The review starts with the exact programme requirements. Fordham assesses a recognised prior degree, preparation in programming, calculus, linear algebra, probability and statistics, the school-specific English evidence and every listed document. General university wording can’t replace a higher programme rule. Check gaps explicitly.

A student who does not pass the Python placement assessment may need CISC 5380 in the first term outside the 30-degree-credit plan.

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 supporting record for big-data 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 statistical modelling is the next academic step and why Fordham’s capstone practice route serves it. Repeating the Fordham 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.

MS Data Science uses Five core courses selected from six current options as a 15-credit checkpoint. Readiness for machine learning is visible before Five core courses selected from six current options, not repaired automatically by enrolment. A transcript item, syllabus topic and assessed result together make that preparation easier to recognise.

MS Data Science uses Four approved electives as a 12-credit checkpoint. Readiness for big-data systems is visible before Four approved electives, not repaired automatically by enrolment. A transcript item, syllabus topic and assessed result together make that preparation easier to recognise.

MS Data Science uses CISC 6080/6081/6085-6086 Capstone, practicum or thesis option as a 3-credit checkpoint. Readiness for statistical modelling is visible before CISC 6080/6081/6085-6086 Capstone, practicum or thesis option, not repaired automatically by enrolment. A transcript item, syllabus topic and assessed result together make that preparation easier to recognise.

MS Data Science uses Five core courses selected from six current options as a 15-credit checkpoint. Readiness for capstone practice is visible before Five core courses selected from six current options, not repaired automatically by enrolment. A transcript item, syllabus topic and assessed result together make that preparation easier to recognise.

MS Data Science uses Four approved electives as a 12-credit checkpoint. Readiness for machine learning is visible before Four approved electives, not repaired automatically by enrolment. A transcript item, syllabus topic and assessed result together make that preparation easier to recognise.

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

MS Data Science preparation check 1 connects machine learning with Five core courses selected from six current options. Name assessed work, the method used and the result an admissions reader can verify rather than listing a subject without evidence.

MS Data Science preparation check 2 connects big-data systems with Four approved electives. Name assessed work, the method used and the result an admissions reader can verify rather than listing a subject without evidence.

MS Data Science preparation check 3 connects statistical modelling with CISC 6080/6081/6085-6086 Capstone, practicum or thesis option. Name assessed work, the method used and the result an admissions reader can verify rather than listing a subject without evidence.

MS Data Science preparation check 4 connects capstone practice with Five core courses selected from six current options. Name assessed work, the method used and the result an admissions reader can verify rather than listing a subject without evidence.

MS Data Science preparation check 5 connects machine learning with Four approved electives. Name assessed work, the method used and the result an admissions reader can verify rather than listing a subject without evidence.

Three checks that can block a MS Data Science application

1. A profile indicator is not an offer promise

   Fordham publishes holistic review rather than a universal admission GPA floor for this programme. 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 programming, calculus, linear algebra, probability and statistics was studied. Add syllabi or official descriptions when course titles do not make the preparation clear.

3. English rules can be Fordham course-specific

   The working reference is IELTS 7.0 with 6.5 in each band, or another published equivalent. Fordham says individual programmes may set higher rules or restrict test formats, so the exact degree page controls.

How should an Indian applicant apply for Fordham MS Data Science?

Apply through Fordham’s school-specific graduate route. 8 January 2027 priority consideration deadline. Submit earlier for credential evaluation, funding evidence, I-20 production and visa preparation. Indian records can also need transcript clarification, so leave enough time to answer a school request before the published cut-off.

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 Nbyula planning estimates, not processing times published by Fordham University.

The programme reports 8 january 2027 priority consideration deadline. 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.fordham 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 Fordham MS Data Science?

The curriculum supports directions such as data scientist, machine learning engineer, analytics engineer 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 curriculum-linked directions for MS Data Science, not a measured probability of employment, salary, visa sponsorship or promotion.

The machine learning engineer route needs a different proof item from Four approved electives. Explain the trade-off made, the supporting record rejected and the effect of uncertainty so the work shows judgement rather than only tool familiarity.

A candidate aiming at analytics 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 Fordham 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.

A possible analytics engineer direction needs inspectable work from this requirement: Four approved electives. Course credit is not a hiring promise; retain an artefact that shows the question, method, result and limitation.

Who is Fordham MS Data Science for, and who should avoid it?

A strong fit wants assessed progression in machine learning and statistical modelling, accepts full-time study at Lincoln Center and can fund the plan without guaranteed US earnings. A weak fit needs extensive prerequisite repair, another delivery mode or a placement promise Fordham does not make.

The next fit question concerns Four approved electives. 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 modelling. A useful artefact states the problem, data or constraints, the chosen method, the result and the limits of that result.

Someone pursuing machine learning engineer work must also value capstone practice. 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 Fordham lists them. A thesis serves research depth, an applied project serves delivery supporting record, and a portfolio serves synthesis. Only routes actually published for this Fordham course belong in the decision.

Affordability is separate from academic fit. The estimate uses USD 1 at INR 96.00, so exchange movement changes the rupee amount even when Fordham leaves a dollar charge unchanged.

The campus choice also matters. This page uses Lincoln Center 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 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-Fordham course accounts, so those lived details remain questions rather than reported facts.

The Four approved electives choice in MS Data Science matters to a future analytics engineer. Its 12 credits are well spent when statistical modelling closes a demonstrated gap. They are poorly spent when Four approved electives merely repeats work already proven in the admission file.

For a future machine learning engineer, fit check 1 asks what new decision big-data systems makes possible. MS Data Science adds value only when that result changes the evidence already in the application file.

For a future analytics engineer, fit check 2 asks what new decision statistical modelling makes possible. MS Data Science adds value only when that result changes the evidence already in the application file.

For a future quantitative researcher, fit check 3 asks what new decision capstone practice makes possible. MS Data Science adds value only when that result changes the evidence already in the application file.

For a future data scientist, fit check 4 asks what new decision machine learning makes possible. MS Data Science adds value only when that result changes the evidence already in the application file.

For a future machine learning engineer, fit check 5 asks what new decision big-data systems makes possible. MS Data Science adds value only when that result changes the evidence already in the application file.

What does the Fordham MS Data Science curriculum contain?

The official Fordham programme page sets the 30-credit degree and its named requirement blocks. The table preserves those published components and alternatives; it does not claim that every student completes every listed option. Applicants can use it to test sequence, prerequisites and elective room against the capability you still need.

The note “Published degree-plan component” applies to 3 components in this table.

• Complete 30 approved graduate credit hours.
• Follow the published choice among a capstone, practicum or thesis route.
• Confirm approved electives, prerequisites and the plan of study with the academic unit.

Fordham 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 Fordham MS Data Science?

Shortlist the Fordham MS Data Science when its full-time 30-credit structure and work in machine learning close a documented capability gap. Keep it off the list when the budget depends on uncertain income or the degree would mostly repeat prior study.

The decision turns on whether statistical modelling and the final assessment can create work relevant to a data scientist or machine learning engineer conversation. Fordham's name is not a substitute for that match.

You shouldn't choose MS Data Science for the Fordham name or work-authorisation assumptions alone. The 30-credit curriculum must justify the INR 1.33 crore planning case, and Fordham publishes no guaranteed job, salary or sponsorship outcome for this exact degree. That promise won't come from the course page.

Sources

These sources support the programme, admission, cost and immigration information used on this page.

Sources checked on October 8, 2026. Current intake information follows. Fall 2027 full-time campus route.