Biomedical Informatics and Data Science, BS

4 Years On Campus Bachelors Program

Arizona State University Tempe

Program Overview

The BS in Biomedical Informatics and Data Science at Arizona State University combines health care, biology, computer science and data analytics, preparing students to use artificial intelligence, machine learning and biomedical data to address challenges in health and medicine. It suits students interested in the intersection of technology and health, with opportunities to develop skills in data analysis, software development, predictive modeling and digital health.

Curriculum Structure:

Year 1:

Students build their foundation in biological sciences, mathematics and health sciences while beginning to understand how data is used in health care. Courses such as BIO 181: General Biology I and MAT 251: Calculus for Life Sciences help establish the scientific and quantitative background needed for later informatics coursework.

Year 2:

Students move deeper into biomedical informatics and learn how health information is collected, interpreted and applied. Courses such as BMI 102: Introduction to Population Health Informatics, BMI 201: Introduction to Clinical Informatics and BMI 211: Clinical Decision Analysis introduce population health data, clinical systems and data-informed decision-making.

Year 3:

The curriculum increasingly focuses on computational approaches, artificial intelligence and biomedical data. Students study courses including BMI 221: Knowledge Representation for Biomedical Informatics, BMI 311: Biomedical Artificial Intelligence and BMI 312: Health Data Mining, developing skills for representing, analyzing and extracting insights from complex health data.

Year 4:

Students apply their knowledge to advanced biomedical informatics and real-world health environments. Coursework includes BMI 404: Clinical Environments, BMI 410: Database Management in Health Care and BMI 461: Advanced Topics in Biomedical Informatics I, giving students experience with clinical settings, health databases and advanced informatics concepts.

Focus Areas:

Biomedical data acquisition and analysis, health data management, knowledge representation, machine learning and artificial intelligence, clinical informatics, bioinformatics, population health informatics, digital health and predictive modeling.

Learning Outcomes:

Students develop the ability to articulate and implement informatics solutions, analyze large datasets to support patient-care and population-health decisions, and represent and manage biomedical data effectively.

Professional Alignment (Accreditation):

The program is housed in ASU’s College of Health Solutions and is accredited by the Higher Learning Commission as part of ASU's accredited undergraduate academic programs. The degree is also STEM-designated, and ASU states that eligible F-1 international students may qualify for a 24-month STEM OPT extension, subject to applicable requirements.

Reputation (Employability Rankings):

Arizona State University is ranked No. 2 in the U.S. among public universities for graduate employability in the 2026 Global Employability University Ranking and Survey (GEURS). ASU also reports that it is ranked No. 14 among all U.S. institutions and No. 37 globally in the 2026 GEURS.

Experiential Learning (Research, Projects, Internships etc.)

The BS in Biomedical Informatics and Data Science at Arizona State University gives students opportunities to apply computing, data science and health knowledge to real biomedical challenges rather than focusing only on classroom theory. Students can engage in research with faculty from early in the program, working in areas such as bioinformatics, artificial intelligence, clinical informatics, medical imaging and population health. The program also provides exposure to advanced health and biomedical research environments, including the Health Futures Center, where ASU houses biomedical informatics research labs and health-care technology facilities.

Students can build practical experience through:

AI and data-science tools: The curriculum provides hands-on experience with AI tools, data-science methods and digital health software, including applications for monitoring health, detecting critical events and predicting health outcomes.
Programming and software development: Students develop skills in algorithm development, software development, data integration and predictive modeling, connecting computational techniques directly to health-care applications.
Research opportunities: Students can participate in research alongside faculty experts from the beginning of their studies, with opportunities spanning bioinformatics, AI, clinical informatics, imaging informatics and population health.
Bioinformatics Facility: ASU's Bioinformatics Facility provides access to high-end computational facilities, bioinformatics analysis software and research-oriented collaborations involving genomic, transcriptomic and other large biomedical datasets.
Biomedical informatics research labs: The Health Futures Center includes dedicated biomedical informatics labs, advanced health-care simulation technology, learning spaces and opportunities for interdisciplinary collaboration with Mayo Clinic and other ASU colleges.
Genomics and computational research: ASU's Biosciences Core Research Facilities provide access to resources covering genomics, bioinformatics, mass spectrometry, flow cytometry and advanced microscopy, supporting research involving complex biological datasets.
Clinical and health-care environment: The Health Futures Center is located alongside the Mayo Clinic campus and supports collaboration involving health care, biomedical engineering, informatics and medical technology.

Facilities:

The program provides access to facilities through the ASU College of Health Solutions, including specialized research, learning and health-science environments that support students in developing practical skills in biomedical informatics, data science and health-related research.

Progression & Future Opportunities

Graduates of Arizona State University’s BS in Biomedical Informatics and Data Science can apply their combination of biomedical knowledge, data analysis and computing skills across healthcare, technology, research and health information environments. The program can prepare students for roles that involve managing and interpreting health data, developing technology-enabled healthcare solutions and supporting data-driven clinical and biomedical research. Typical career paths include Biomedical Informatics Specialist, Health Data Analyst, Clinical Informatics Analyst, and Bioinformatics Analyst.

Students can build their career and continue developing professionally through:

Career support: ASU’s Career and Professional Development Services provides career coaching, career fairs, employer connections, internship and job-search resources, resume support and interview preparation.
Employment and salary: ASU’s career resources provide program- and occupation-related employment information through career tools, while U.S. labor-market data can be used to explore employment demand and salary ranges for related health information, data and computing occupations.
University–industry connections: ASU’s health programs benefit from collaborations across its health ecosystem, including partnerships and research connections involving organizations such as Mayo Clinic, creating opportunities for interdisciplinary work connecting healthcare, technology and biomedical research.
Long-term accreditation value: The degree is awarded by Arizona State University, an institution accredited by the Higher Learning Commission, providing institutional accreditation that supports the recognition and portability of the qualification.
Graduation outcomes: Graduates can enter health technology, clinical informatics, biomedical research, data analytics and related technology sectors, while students seeking additional specialization can progress to graduate-level study.

Further Academic Progression:

After completing the bachelor's degree, students can pursue graduate education in areas such as biomedical informatics, health informatics, data science, bioinformatics, computer science or related health and technology fields, depending on their career goals and the admission requirements of the chosen program. ASU also offers graduate-level study that can allow students to deepen their expertise in biomedical informatics and data-driven healthcare.