Master of Science in Mathematics
The University of Texas at Dallas
Key Information
Campus location
Richardson, USA
Languages
English
Study format
On-Campus
Duration
2 years
Pace
Full time
Tuition fees
USD 18,276 / per semester
Application deadline
Request info *
Earliest start date
May 2024
* late application deadline: day prior to classes begin
Introduction
The Mathematics MS degree curriculum at The University of Texas at Dallas offers a balanced list of applied and theoretical courses and attractive electives. To satisfy the degree requirements, the Mathematical Sciences Department currently offers a choice between four tracks:
Mathematics track: Students who choose this option to pursue courses in the pillars of mathematics. Graduates may pursue a Ph.D. 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 Ph.D. 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 Ph.D. in mathematically oriented science or jobs in the 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 Ph.D. program in data science.
Admissions
Curriculum
Degree Requirements
Students seeking a Master of Science in Mathematics must complete a total of 12 three-semester credit hour courses. In some cases, credit for 3 semester credit hours is approved for good mathematics background. The student may choose a thesis plan or a non-thesis plan. In the thesis plan, the thesis replaces two elective courses with the completion of an approved thesis (six thesis semester credit hours). The thesis is directed by a Supervising Professor and must be approved by the Head of the Mathematical Sciences Department.
Each student must earn a 3.0 minimum GPA in the courses listed for the student's program.
To satisfy the MS degree requirements, we currently offer a choice between four specializations - Mathematics, Applied Mathematics, Decision and Engineering Sciences, and Data Science.
Mathematics Specialization (MS)
- MATH 6301 Real Analysis
- MATH 6303 Theory of Complex Functions I
- MATH 6311 Abstract Algebra I
- MATH 6315 Ordinary Differential Equations
- Choose four courses from the following:
- MATH 6302 Functional Analysis I
- MATH 6309 Differential Geometry
- MATH 6310 Topology
- MATH 6312 Combinatorics and Graph Theory
- MATH 6325 Nonlinear Analysis I
- MATH 7313 Partial Differential Equations I
- MATH 7361 Algebraic Geometry and Non-linear Equations
- Plus four guided electives with the approval of the graduate advisor for mathematics.
Applied Mathematics Specialization (MS)
- MATH 6313 Numerical Analysis
- MATH 6315 Ordinary Differential Equations
- MATH 6319 Principles and Techniques in Applied Mathematics I
- MATH 6321 Optimization
- MATH 5301 Elementary Analysis I and MATH 5302 Elementary Analysis II*
- or MATH 6301 Real Analysis
- Choose three courses from the following:
- MATH 6303 Theory of Complex Functions I
- MATH 6308 Inverse Problems and Applications
- MATH 6312 Combinatorics and Graph Theory
- MATH 6318 Numerical Analysis of Differential Equations
- MATH 6320 Principles and Techniques in Applied Mathematics II
- MATH 6324 Applied Dynamical Systems I
- MATH 6336 Nonlinear Control Systems
- MATH 6340 Numerical Linear Algebra
- MATH 6342 Scientific Computing
- MATH 7313 Partial Differential Equations I
- Plus four guided electives with the approval of the graduate advisor for mathematics.
Mathematics for Decision and Engineering Sciences (MS)
- MATH 5301 Elementary Analysis I (or equivalent)
- MATH 5302 Elementary Analysis II (or equivalent)
- MATH 6305 Mathematics of Signal Processing
- MATH 6321 Optimization
- MATH 6331 Mathematics of Signals, Systems, and Controls
- MATH 7318 or OPRE 7318 Stochastic Dynamic Programming
- STAT 5353 Probability and Statistics for Data Science and Bioinformatics
- STAT 6329 Applied Probability and Stochastic Processes
- or MATH 6364 Stochastic Calculus in Finance
- STAT 6340 Statistical and Machine Learning
- FIN 6381 Introductory Mathematical Finance
- or ACTS 6308 Actuarial Financial Mathematics
- Plus two guided electives with the approval of the graduate advisor for mathematics.
Data Science Specialization (MS)
- CS 5303 Computer Science I
- CS 5343 Algorithm Analysis and Data Structures2
- CS 6307 Introduction to Big Data Management and Analytics for non-CS-Majors
- CS 6375 Machine Learning
- MATH 6312 Combinatorics and Graph Theory
- MATH 6321 Optimization
- MATH 6340 Numerical Linear Algebra
- or MATH 6319 Principles and Techniques in Applied Mathematics I
- MATH 6322 Mathematical Foundations of Data Science
- STAT 5353 Probability and Statistics for Data Science and Bioinformatics
- STAT 6340 Statistical and Machine Learning
- Plus two guided electives
Other Requirements
Electives must be approved by the assigned graduate advisor. Typically, electives are 6000- and 7000-level Mathematics courses. Courses from other disciplines may also be used upon approval. Substitutions for required courses may be made if approved by the assigned graduate advisor. Instructors may substitute stated prerequisites for students with equivalent experience.
Career Opportunities
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.
English Language Requirements
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