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Core Courses

BMIN 7053 - Introduction to Medical Informatics
Data Science for Biomedical Research provides a broad overview of methods and techniques of data science that are essential for processing, analyzing and mining Big Biomedical Data. Key topics covered in the course are statistical and machine learning, including deep learning, modern computing platforms for big data, including cloud computing, and applications of data science techniques to biomedicine.

BMIN 7054 - Data Science for Biomedical Research
Data Science for Biomedical Research will cover statistical and data mining techniques that are essential for processing, analyzing and mining Big Data, with the overarching goal of learning from data in order to gain useful predictions and insights.

BMIN 7099 - Introduction to Bioinformatics
Introduction to Bioinformatics is designed to cover in depth a range of current topics in bioinformatics, focusing on ‘algorithmic engines’ that power the genomic revolution, including computational methods and algorithmic solutions for DNA sequencing, RNA and protein quantification, and metagenomics.

BMIN 8001 - Biomedical Informatics Practicum
The Biomedical Informatics Practicum is a project oriented course that combines the use of electronic medical records and other clinical informatics systems with research questions centered on Omics studies, personalized and preventive medicine, and quality of health care delivery. The projects will be designed to use state-of-the-art techniques and up to date data sets to identify current challenges develop solutions.

BMIN 8089 - Dissertation Research
Research tasks as advised by the dissertation adviser shall be completed.

GNTD 7003 - Ethics in Research
This course introduces students to ethical theories generally and the ethical and regulatory issues they are likely to encounter as researchers. Students will learn to identify issues, how to analyze ethical issues in research, and to develop coherent justifications for their ethical and responsible conduct of research.

GNTD 8001C - Introduction to Functional Genomics
This course consists of lectures/seminars on the theory and use of functional genomics approaches in biomedical research. Each lecture is accompanied by a lab session in an electronic classroom that provides hands-on experience in practical application of functional genomics principles. A key part of the course is group research projects in which students analyze primary genomics data to answer research questions.

Biomedical Informatics PhD Curriculum 2019-2020

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Graduate Programs in
Biostatistics, Health Informatics & Data Sciences

3333 Burnet Avenue
Cincinnati, OH 45229-3039

Mail Location: 7024
Phone: 513-636-6250
Email: Biomedical Informatics Graduate