

Master of Science in Data Science and Statistics
- Public University
School of Natural Science and Mathematics
Master of Science in Data Science and Statistics at UT Dallas Overview
International students can pursue Master of Science in Data Science and Statistics at PG level at The University of Texas at Dallas. The duration of the course at the university is 18 to 24 months. The course is among the top-ranked courses in the International students must meet the entry requirements such as complete academic qualification, a valid test score in exams such as IELTS, TOEFL, PTE and Duolingo to be eligible for the course. The University fees for international students for Master of Science in Data Science and Statistics is around USD 32,898 for first-year. Students must manage additional costs such as
- Rent
- Hostel fees
- Food, books
- Supplies
- Utilities, etc.
Duration | 1.5 - 2 years Get Curriculum |
Tuition & Fees | ₹32.44 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
Master of Science in Data Science and Statistics at UT Dallas Fees
When planning for the Master of Science in Data Science and Statistics, applicants should consider the financial aspects involved. Every student must pay the first-year tuition fee of USD 32,898. Additionally it is also important to account for living expenses such as accommodation, food, and utility costs. Such expenses may vary according to living styles and other fees added by The University of Texas at Dallas. However, accordingly to the official website the average cost of living that international students have to bear is USD 8,150, annually. To know about the complete breakdown of The University of Texas at Dallas Master of Science in Data Science and Statistics fee structure and all other cost-element-wise expenditures for an elaborate cost overview, please check the table below.
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 32,44,258 |
| Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 7,22,660 |
| Insurance | INR 3,04,847 |
Master of Science in Data Science and Statistics at UT Dallas Curriculum
Students can access and download The University of Texas at Dallas Master of Science in Data Science and Statistics course by clicking the green button below. The curriculum PDF contains the subjects taught, electives available, and additional course materials. The division of the course structure into semesters is also covered.
Download exam sample paper
Master of Science in Data Science and Statistics at UT Dallas Entry Requirements
- No specific cutoff mentioned
- No specific cutoff mentioned
- Minimum Requirements :
- A bachelors degree in a relevant field.
- Minimum Requirements :

Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- N/A
- Applicants who have earned a three year baccalaureate degree are eligible to apply for admission to UT Dallas graduate programs.

Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- Marks - 80/120
-
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-
- Marks - 67/90
- NA
- Marks - 6.5/9
- Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
- No specific cutoff mentioned
- GRE is optional.
- Marks - 105/160
- NA
Master of Science in Data Science and Statistics at UT Dallas Rankings
| Rank | Rank Publisher |
|---|---|
| #51 | |
| #251 | |
| #301 |
Master of Science in Data Science and Statistics at UT Dallas Placements
| Particulars | Statistics (2025) |
|---|---|
| Highest Salary | USD 4.22 Lakh |
| Median Salary | USD 73,061 |
| Lowest Salary | USD 14,517 |
| Internship Available | Yes |
The University of Texas at DallasStudents Ratings & Reviews
- 21% students never faced discrimination in this university
Master of Science in Data Science and Statistics at UT Dallas Highlights
- A general program that focuses on the relationships between groups of measurements, and similarities and differences, using probability theory and techniques derived from it. Includes instruction in the principles in probability theory, binomial distribution, regression analysis, standard deviation, stochastic processes, Monte Carlo method, Bayesian statistics, non-parametric statistics, sampling theory, and statistical techniques.
Master of Science in Data Science and Statistics at UT Dallas Scholarships
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