Data Science: Biomedical Informatics

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Bachelor of Science in Data Science: Biomedical Informatics Concentration

Top 5 Reasons to Study

Gain the knowledge, skills, and confidence to help hospitals, pharmaceutical companies, research institutions, and health tech startups solve challenges with data-driven analytics and artificial intelligence.

Learn to transform biological and clinical phenomena into digital representations (genomic sequences, medical imaging, electronic health records, and wearable sensor data) that enable computational analysis of human health.

Learn to extract life-saving insights from biomedical data to accelerate drug discovery, identify diseases, predict outcomes, personalize treatment, and reveal patterns in population health that lead to medical breakthroughs.

Build AI systems that augment clinical decision-making and enhance patient care while maintaining safety, interpretability, and ethical standards.

Learn to improve healthcare by optimizing hospital operations, reducing medical errors, accelerating clinical trials, enabling remote patient monitoring, and making precision medicine accessible at scale.

Core
Skills

Analyze biological systems, medical signals, and health data by applying data science methods.
Advance healthcare technology development by integrating biomedical signal processing with machine learning.
Utilize science skills and biological principles to model biological systems.

Sample
Jobs

Bioinformatics Analyst
Computational Pathobiologist
Biomedical Engineer
Research Bioinformatician
Biostatistican

Successful Career Outcomes

$103,500 Median Annual Salary

35% 10 Year Growth Expected

Top
Employment
Industries

Hospitals and Healthcare: Solving challenges with analytics and improving patient care
Pharmaceutical Companies: Accelerating drug discovery and clinical trials
Research Institutions: Analyzing biomedical data and genomic sequences
Health Tech Startups: Developing AI-driven health solutions
Precision Medicine: Personalizing treatment and predicting health outcomes

Brag
Points

Study with the best: data science majors at MSU have a median ACT score of 29
Our students have access to Ptolemy, a 64 GPU NVDIA system dedicated to academic use
38% of our Data Science students participate in the Shackouls Honors College

Experiential Learning Opportunities

Capstone Project: You will participate in a two-semester capstone experience where you will be matched with a faculty mentor as you pursue a meaningful project.

Institute for Genomics, Biocomputing & Biotechnology (IGBB): This is the premier hub for this field at MSU. You can seek undergraduate research opportunities here to work with high-performance computing clusters ("Shadow" and "Atlas") to analyze DNA sequences and proteomic data alongside professional researchers.

Department of Biological Sciences: Faculty actively mentor our undergraduates in labs focusing on everything from phylogenetic analysis to computational biology.

Data Science Academic Institute: Our undergraduate researchers work on faculty projects in diverse subject areas, including health.

You will take five hands-on labs that use real data. This builds career-relevant experiential learning directly into your coursework.