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The M.S. in data science and applied statistics degree program provides students with an understanding of statistical theory and proficiency in statistical methods, as well as training in statistical computing, database management, predictive methods and other data science techniques.

Applicants must: 

• hold a bachelor's degree
• have taken a course in statistics
• have taken calculus courses through multivariate calculus
• have excellent English communication skills

Data scientists often find work as a data analyst, machine learning engineer or data scientist in industries such as technology, finance, health care and e-commerce. work as biostatisticians, econometricians or research analysts, and tend to work in academia, government, health care or research institutions.

Statistical scientists specialize in the collection, analysis and interpretation of data. Many of the top employers for this degree include the federal government and scientific research and development companies.

We offer a discount on tuition from all classes in the MDSAS program on a need- and GPA-related case-by-case basis. We also offer a limited number of teaching assistantships.

Students have the opportunity to pursue common interests with faculty members through informal discussions, weekly research seminars and joint research activities. Students may also attend bisemester meetings of the North Texas Chapter of the American Statistical Association and hear an outstanding array of speakers from academia, business and industry.

Some faculty members conducting research involve MDSAS students to assist them. The program assists as much as possible with locating employment opportunities for students seeking internships, part-time and full-time jobs. There are also opportunities to hear various company representatives (often alumni) who come to campus to describe their work and employment opportunities.

The median annual wage for statisticians was $103,300 in May 2024, according to the . ����Vlog graduates with this degree had a slightly higher annual salary of $110,000 as of 2024.

At a high level, you will learn how to effectively analyze large datasets and be able to extract key information from the data. This often allows one to make inferences about a population and, therefore, make meaningful predictions in a business, sports and medical-related settings, among others. Important courses are experimental statistics, machine learning in Python, applied time series analysis, data visualization, and a consulting course which in which a real dataset is analyzed in a consultant-client setting.