Biomedical Data Analytics Graduate Certificate
Develop the skills to confidently explore Big Data and lead the way to intelligent, integrated health care. Analyzing biomedical research data is a key component of decision-making among health professionals today.
You’ll be prepared to conduct analytical research on this data, for use by patients, physicians, nurses and others, when you earn a Graduate Certificate in Biomedical Data Analytics from the IU School of Informatics and Computing at IUPUI.
Health care decisions are some of the most critical we will ever make. The biomedical data analyst plays an essential role in improving medical treatment, by data mining and integrating health records to reveal patterns that can be used to craft informed policy.
As the volume of data expands, so do the employment opportunities in biomedical analytics, both in genomics-driven data (genotyping, next-generation sequencing), and in payer-provider information (insurance, pharmacy, and electronic health records).
The rise of precision medicine, with therapies tailored to patients’ particular conditions, offers data analysts the chance to create new treatments for diseases such as cancer, tuberculosis, and AIDS. You’ll graduate with the skills to integrate data from micro-level DNA, RNA, and proteins to macro-level population health.
Your degree from IUPUI can prepare you for positions such as:
- Biomedical Analyst
- Biomedical Scientist
- Clinical Data Analyst
- Healthcare Database Administrator
- Healthcare IT Director
Plan of study
15 credit hours
Core Courses
- INFO B506 Biomedical Informatics
- INFO B585 Biomedical Analytics
- Choose one of the following:
Advanced Selective Courses
Choose two of the following:
- PBHL B561 Introduction to Biostatistics I
- INFO H516 Applied Cloud Computing for Data Intensive Sciences
- INFO B518 Applied Statistical Methods for Biomedical Informatics
- INFO B529 Machine Learning for Bioinformatics
- INFO B536 Computational Methods for Biomedical Informatics
- INFO B584 Practicum in Health Information Technology
- INFO B636 Genomic Data Analytics and Precision Medicine
- INFO B643 Natural Language Processing for Biomedical Records and Reports
- INFO B646 Computational Systems Biology
Last updated 4/20/2018