This program equips students with cutting-edge AI techniques and tools to address complex biomedical challenges. Consisting of 30 semester credit hours (SCH), its interdisciplinary curriculum combines rigorous coursework in AI, biostatistics, and biomedical sciences, preparing graduates for impactful careers in healthcare and research. For more information, see the full curriculum.
General Admission Requirements
Undergraduate degree in biology, biochemistry, chemistry, physics, mathematics, statistics, computer science, or another science or engineering discipline.
Must have completed at least one semester each of calculus and statistics.
BIMS/STAT 5304 Introduction to Human Health Research
STAT 6305 Biostatistics and Epidemiology
STAT 5305 Informatics and Programming for Biomedical Sciences
STAT 6306 Artificial Intelligence for Human Health with Lab
MATH 5303 Advanced Calculus and Linear Algebra
Elective #1
Total: 9 SCH
Total: 9 SCH
Fall Year 2
Spring Year 2
STAT 6342 Deep Learning
Elective #4
Elective #2
Elective #3
Total: 9 SCH
Total: 3 SCH
Fast Track Option
Students from the following BS programs can Fast Track into this MS program: Biomedical Sciences, Biology, Molecular Biology, Chemistry, Biochemistry, and Physics, provided their Major GPA is at least 3.20 and they have completed MATH 2413 Differential Calculus, MATH 2414 Integral Calculus, and STAT 3332 Statistics for Life Sciences or another STAT course, with a grade of B+ or higher in each, and meet general UTD requirements.
Students from other BS programs (even outside of the School of Natural Sciences and Mathematics) can also Fast Track into this MS program, provided they meet the above eligibility requirements.
