Master of Science in Statistics

Curriculum

The Statistics MS degree curriculum at The University of Texas at Dallas offers a balanced list of applied and theoretical courses and attractive electives. Through the course of study, students acquire the necessary skills to prepare them for high level careers in fields that require sophisticated data analysis skills.

To satisfy the MS degree requirements, the Mathematical Sciences Department currently offers a choice between three tracks:

Statistics track: Students who pursue this track receive a solid foundation and deep background in theoretical and applied statistics. This prepares them for possible continuation in the PhD program in statistics at UT Dallas or another major research university or the opportunity to enter the job market.

Applied Statistics track: Students who choose this track typically seek immediate employment after completing their degree and do not plan to continue their education at the doctoral level. This track is also popular among students who already have a background in another discipline, but would like to build expertise in statistics to enhance their employment opportunities.

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: professor in an academic institution, or professional in industry, government or finance and researcher in public or private sector. Available emphases ensure that candidates can tailor their future career by having targeted their educational background to their research interests.

The jobs 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. For more information about careers in mathematics, view the career page of American Mathematical Society.

Application Requirements

GPA: One of the components of a student's academic history which is evaluated when the student is seeking admission to the graduate program is his/her performance on certain standardized tests. Since these tests are designed to indicate only the student's potential for graduate study, they are used in conjunction with other measures of student proficiency, such as GPA (grade point average), etc., in determining the admission status of a potential graduate student. Accordingly, there is no rigid minimum cutoff score for admission to the program.

Test score required: Yes

Most applicants admitted to either the MS or PhD programs have GRE scores of at least 143 verbal, 155 quantitative, and 310 combined. However, exceptions are made in some cases when other credentials are especially strong. Higher standards prevail for applicants seeking Teaching Assistantships.

Letters of recommendation: 3

Deadlines: University deadlines apply.