Campus photo: Michael Barera, CC BY-SA 4.0 · source
Tuition
USD 23,486/yr verified
Duration
—
Intake
Fall (apply by 15 March), Spring (apply by 15 August), Summer (apply by 15 February)
English
IELTS 6.5
About this programme
UT Arlington's MS in Data Science is a 30-credit-hour degree housed in the College of Engineering's Department of Computer Science and Engineering, offered in both on-campus and online formats. UTA states it prepares students for STEM, health-related, business and other fields. Related certificate programmes are available in Artificial Intelligence, Big Data Management, Cybersecurity and Deep Learning. Detailed admission requirements are held in the University Catalog rather than on the programme page.
What the fee covers: the graduate non-resident (international) rate — tuition and mandatory fees combined — for a nine-month academic year, taken from UTA's official cost-of-attendance budget.
Fee year: 2026-27.
Before you budget: the tuition shown is UTA's university-wide graduate non-resident cost-of-attendance planning average (tuition plus mandatory fees), not a programme-specific charge — use UTA's Tuition Estimator for a real quote. Living costs and insurance are extra. UTA does not state a duration for this degree on its programme page, so none is shown here. Two details you may see quoted elsewhere are not on UTA's page for this degree and are not claimed here: an engineering/science specialisation split, and a required capstone.
Where the requirements come from: the entry requirements are taken from the degree's catalog entry at https://catalog.uta.edu/engineering/computer/graduate/data-science-ms/. That catalog entry prints no English test score and defers to the University Catalog, so the scores shown are UTA's university-wide international graduate minimum (https://www.uta.edu/admissions/apply/international-graduate) rather than a degree-specific bar. One claim that circulates about this degree — that it neither requires nor reviews letters of recommendation or statements of purpose — appears nowhere on UTA's page for it; it belongs to the MS Computer Science page, so do not assume it applies here.
Course details verified 20 Aug 2026 — intakes, entry requirements and course facts · official source
Intakes & deadlines
Fall (apply by 15 March), Spring (apply by 15 August), Summer (apply by 15 February)
Dates confirmed for your profile
Open
Most universities admit on a rolling basis — we confirm the exact application deadline for your profile, free.
An undergraduate degree, preferably in engineering or mathematics, that includes one semester of calculus and experience in programming; a 3.0 grade point average (on a 4.0 scale) on the last two years of undergraduate coursework, with performance in engineering, science and mathematics emphasised; rigour of the bachelor's curriculum assessed by transcript analysis, with grades of C or better expected in courses overlapping the Data Science foundation areas (Programming, Applied Mathematics). GRE is not required.
We confirm the exact costs and the scholarships you qualify for at University of Texas at Arlington — free, for your profile. Need funding? Check your education-loan eligibility.
Typical graduate salary — Data Science & Analytics, USA
USD 63,650–194,410/yr
· ≈ ₹60.6 L–₹1.85 Cr/yr
This is an indicative early-career range for the whole Data Science & Analytics field in USA,
from official graduate-outcome data — not a figure for this programme or university, and not a guarantee of
what you will earn. What you actually earn depends on the role, employer, city and your visa.
Rupee figure converted at the 26 Oct 2026 mid-market rate; your
bank's rate will be worse and currencies move, so use it for planning, not as the amount you will receive.
Tuition is USD 23,486/yr. Checked against the university's own fees page. We confirm the current fee and the scholarships you qualify for — free.
The main intake is Fall (apply by 15 March), Spring (apply by 15 August), Summer (apply by 15 February). Most universities admit on a rolling basis — we confirm the exact deadline for your profile, free.
An undergraduate degree, preferably in engineering or mathematics, that includes one semester of calculus and experience in programming; a 3.0 grade point average (on a 4.0 scale) on the last two years of undergraduate coursework, with performance in engineering, science and mathematics emphasised; rigour of the bachelor's curriculum assessed by transcript analysis, with grades of C or better expected in courses overlapping the Data Science foundation areas (Programming, Applied Mathematics). GRE is not required. English: TOEFL 79 (W22 S21 R20 L16) · IELTS 6.5 · DUOLINGO 100.
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