Richardson , Texas , United States
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Overview
To satisfy the Mathematics degree requirements at University of Texas at Dallas, the Mathematical Sciences Department currently offers a choice between four tracks:
Mathematics track: Students who choose this option pursue courses in the pillars of mathematics. Graduates may pursue a PhD in Mathematics or jobs in the industry requiring sophisticated mathematical skills.
Applied Mathematics track:Students who choose this option pursue courses in foundational mathematics and its modern applications. Graduates may pursue a PhD in mathematically oriented science or jobs in industry requiring sophisticated mathematical skills.
Mathematics for Decision and Engineering Sciences: Students who choose this option pursue courses in foundational mathematics and its applications in finance, decision sciences, and engineering. Graduates may pursue a PhD in mathematically oriented science or jobs in finance and engineering sectors.
Data Science track: Students who choose this interdisciplinary track take a balanced mix of courses in statistics, computer science and mathematics in order to become a data scientist and take on the challenges of Big Data. Upon graduation, these students seek employment or may continue into a PhD program in data science.
Career Options
Graduates of the program seek positions such as: professional in industry, government, consulting firm or financial firm, and teacher in community college. Available emphases allow candidates to tailor their future careers by having targeted their educational background to their subdiscipline of choice. The job of a mathematician consistently appears among the top jobs in the rankings of 200 jobs by CareerCast’s Jobs Rated Almanac based upon factors such as work environment, income, hiring outlook and stress.
Get more details
Visit official programme websiteProgramme Structure
Courses included:
- Inverse Problems and Applications
- Ordinary Differential Equations
- Theory of Complex Functions
- Numerical Analysis of Differential Equations
- Inverse Problems and Applications
- Optimization
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
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Language
English
Delivered
On Campus
Disciplines
Mathematics Actuarial Science View 383 other Masters in Actuarial Science in United StatesAcademic requirements
We are not aware of any academic requirements for this programme.
English requirements
TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30. 80
IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading). 6.5
Other requirements
General requirements
- Proof of English proficiency.
- GRE or GMAT score.
- Completed UT Dallas graduate application.
- Application fee.
- $50 non-refundable international credential evaluation fee.
- Diplomas and/or degree certificates. Upload scanned copies with certified English translations by the appropriate academic institution or government agency.
- All college/university transcripts or mark sheets.
- Letters of recommendation.
- Certified translation of non-English documents.
Tuition Fee
-
International
18856 USD/yearTuition FeeBased on the original amount of 9428 USD per semester and a duration of 12 months. -
National
18856 USD/yearTuition FeeBased on the original amount of 9428 USD per semester and a duration of 12 months. -
In-State
10542 USD/yearTuition FeeBased on the original amount of 5271 USD per semester and a duration of 12 months.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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