Health Science Data Analytics, BA
The Health Science Data Analytics program trains students to use tools from modern data science—like machine learning and predictive modeling—to address real-world health problems. Through hands-on projects with real data, our program equips students for opportunities in health care, public health, biotechnology, data analytics, and more.
Program Overview
Our Interdisciplinary Programs, BA in Health Science Data Analytics prepares students to harness the power of data and technology to make a real-world impact on health.
Through a combination of courses in health sciences, statistics, and data analytics, you’ll learn to gather data that directly addresses healthcare challenges and prepares you for how work is done today. Plus, with our specialized capstone course, students will learn to extract data from wearable technologies and clinical records, working directly with health researchers to provide actionable insights.
This program is a great fit for students who want to learn both technical expertise and analytical skills for work in data-driven health-related fields.
Why Study Health Science Data Analytics?
With hands-on coursework and exceptional career opportunities, the Health Science Data Analytics program equips students with quantitative knowledge for meaningful insights in our data-driven world.
You’ll learn to work with health technology and health professionals to gather insights that not only improve healthcare, but also directly contribute to patient care, medical research, and public health.
Plus, with faculty mentors dedicated to your success, you’ll expand your potential, empower others, and develop an incisiveness that allows you to communicate complex ideas with passion and precision.
What Can You Do with a BA in Health Science Data Analytics After Graduation?
With an Interdisciplinary Programs Bachelor of Arts degree in Health Science and Data Analytics, you’ll be equipped for careers at the intersection of healthcare and data analytics. Whether you’re interested in pursuing graduate studies or entering industry, you’ll find ample opportunities as a health data, clinical research, or biostatistical analyst. Other opportunities include data management and research support roles at public health agencies, hospitals, and even health insurance agencies.
Whatever your unique career goals, our program equips you with both specialized knowledge and the versatility to collaborate across disciplines.
Featured Courses
CSDS 311 Applied Logistic Regression
Learn how to analyze categorical outcomes using logistic regression. You will build and interpret models, assess how well they fit, and evaluate predictive performance with tools such as ROC curves and AUC.
CSDS 312 Survival Analysis
Study methods for analyzing time-to-event data, from disease recurrence and hospital readmission to treatment response. You will learn about censoring, survival and hazard functions, Kaplan-Meier curves, log-rank tests, and Cox proportional hazards models.
CSDS 412 Applications in Health Analytics
In this capstone course, you will bring together statistical modeling, machine learning, and AI to solve a real-world health data problem. Working independently or in teams, you will collaborate with health researchers and communicate actionable findings through clear reports.
Complementary Majors, Minors, and Certificates
Looking to enhance your academic experience and expertise? Consider pursuing one of the following programs in addition to your primary field of study.
Looking For More Options?
The College of Arts and Sciences offers students the broadest range of academic programs and opportunities for research and creative activities at the University of Tennessee, powered by faculty expertise across every discipline.
Admissions and Aid
Are you ready to become a Vol? Learn how to apply and explore tuition, cost, and aid below.
Request Information
Want to join us in creating what’s next? Learn more about the Interdisciplinary Programs, BA in Health Science Data Analytics and become a Vol-in-Progress!