The Statistics PhD degree curriculum offers extensive coursework and intensive research experience in theory, methodology and applications of statistics. During their study, PhD students acquire the necessary skills to prepare them for careers in academia or in fields that require sophisticated data analysis skills.

The PhD program is designed to accommodate the needs and interests of the students. The student must arrange a course program with the guidance and approval of the graduate advisor. Adjustments can be made as the student’s interests develop and a specific dissertation topic is chosen.

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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.

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The Master of Science in Bioinformatics and Computational Biology is an interdisciplinary program offered jointly by the Departments of Mathematical Sciences and Biological Sciences, with the former serving as the administrative unit. By combining coursework from the disciplines of biology, computer science, mathematics, and statistics, it caters to the growing demand for a new breed of scientists who have expertise in all these disciplines. In addition to coursework, the program also provides opportunities to gain practical experience by getting involved in research with faculty members.

• Computer science-oriented (Group 1)
• Statistics-oriented (Group 2)
• Biology-oriented (Group 3)

Both also offer opportunities for research. Students are expected to choose a track and an elective group based on their backgrounds and interests in consultation with the graduate advisor for the program.

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PhD and MS of Statistics
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Milestones Agreement of Ph.D. in Statistics Program
Sample 2-year Plan of Data Science Track

BCBM
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