BIOMEDICAL INFORMATICS Doctor of Philosophy
B I O M E D I C A L I N F O R M ATICSDoctor of Philosophy
For more information, visit med.uc.edu/BMIgrad
or contact us at [email protected] or 513.636.6250
Join the conversation @cincyinformatix
Watch our video cincinnatichildrens.org/BMIgradvideo
B I O M E D I C A L I N F O R M ATICS
The PhD Program in Biomedical Informatics at the University of Cincinnati (UC) leverages partnerships between three leading institutions: Cincinnati Children’s Hospital Medical Center, the UC College of Medicine, and the UC College of Engineering and Applied Sciences. Students have an exciting opportunity to engage in transformative research while being embedded in one of the premier healthcare centers in the nation.
A B O U T T H E P R O G R A M• Trains students in theory and
applications of informatics andbiomedical data science.
• Topics range from the study ofmolecules to individuals andto populations.
• Embeds students in an excitingenvironment where basic and appliedscientific principles are used within ateam science framework.
• Students and faculty work torespond to data-driven challenges ofbiomedical research and healthcare.
W H O S H O U L D A P P LY• Strong quantitative and/or
computational background.• Enthusiasm to make significant
novel contributions to the fieldof biomedical informatics.
A D M I S S I O N R E Q U I R E M E N T S• Official college transcript(s)• GPA minimum 3.5 or equivalent• Official GRE score• International students:
TOEFL test score (minimum 100)or IELTS (minimum 7)
• Statement of purpose• Three letters of recommendation
C U R R I C U L U M• Spans a number of domains,
including clinical informatics,bioinformatics, genomics, systemsbiology, biostatistics, big data andhealthcare analytics.
• Reflects the interdisciplinary natureof data-driven biomedical sciences.
• Core course requirements areminimal, so students can chooseelectives and start their researchcareer as early as possible.
F O U R - Y E A R P R O G R A M (eight semesters)Year 1 – coursework, lab/clinical information systems rotationsYear 2 – coursework, qualifying exam & dissertation proposalYears 3 & 4 – research, clinical informatics practicum & dissertation
C O R E C O U R S E S (3 credit hours each, unless noted)Introduction to Medical InformaticsDatabase ManagementIntroduction to BioinformaticsData Science for Biomedical Research
Decision & Cost-Effectiveness AnalysisBiomedical Informatics PracticumEthics in Research (1 credit)
Dissertation Research (variable)
G E N E R A L M E D I C A L S C I E N C E (3 credit hours each – choose 2 courses)Molecular & Cellular BiologyIntroduction to Functional Genomics
Introduction to Epidemiology (2 credits)
Principles of Clinical Trials
T E C H N I C A L E L E C T I V E S (3 credit hours each – choose 4 courses)Artificial Intelligence I
Digital Image Processing
Intelligent Data Analysis
Advanced Algorithms
Introduction to Cloud Computing
User Interface
Pattern Recognition
Data Warehousing and Mining
Biostatistics in Research
Advanced Statistical Methods in
Biomedical Research
Introduction to BiostatisticsApplied Bayesian Analysis
Advanced Health Care Data Analytics, Business Intelligence & Reporting
Community-Based Participatory Research
Quality Improvement & Patient Safety (1 credit)
Healthcare Operations Management
Quantitative & Qualitative Data Collection
Methods for Health ServicesResearch (2 credits)
Analysis of Internet Health Data
TO APPLYApply through the UC admission system at med.uc.edu/bmigrad/apply.
Applications accepted August 1 through February 15.
Course descriptions available at med.uc.edu/bmigrad/doctoral/course-descriptions
The PhD Program in Biomedical Informatics at the University of Cincinnati (UC) leverages partnerships between three leading institutions: Cincinnati Children’s Hospital Medical Center, the UC College of Medicine, and the UC College of Engineering and Applied Sciences. Students have an exciting opportunity toengage in transformative research while being embedded in one of the premierhealthcare centers in the nation.
A B O U T T H E P R O G R A M• Trains students in theory and
applications of informatics andbiomedical data science.
• Topics range from the study of molecules to individuals andto populations.
• Embeds students in an exciting environment where basic and applied scientific principles are used within a team science framework.
• Students and faculty work torespond to data-driven challenges ofbiomedical research and healthcare.
W H O S H O U L D A P P LY• Strong quantitative and/or
computational background.• Enthusiasm to make significant
novel contributions to the fieldof biomedical informatics.
A D M I S S I O N R E Q U I R E M E N T S• Official college transcript(s) • GPA minimum 3.5 or equivalent• Official GRE score• International students:
TOEFL test score (minimum 100)or IELTS (minimum 7)
• Statement of purpose• Three letters of recommendation
C U R R I C U L U M• Spans a number of domains,
including clinical informatics, bioinformatics, genomics, systemsbiology, biostatistics, big data and healthcare analytics.
• Reflects the interdisciplinary nature of data-driven biomedical sciences.
• Core course requirements areminimal, so students can choose electives and start their research career as early as possible.
F O U R - Y E A R P R O G R A M (eight semesters) Year 1 – coursework, lab/clinical information systems rotationsYear 2 – coursework, qualifying exam & dissertation proposalYears 3 & 4 – research, clinical informatics practicum & dissertation
C O R E C O U R S E S (3 credit hours each, unless noted)Introduction to Medical InformaticsDatabase ManagementIntroduction to BioinformaticsData Science for Biomedical Research
Decision & Cost-Effectiveness AnalysisBiomedical Informatics PracticumEthics in Research (1 credit)
Dissertation Research (variable)
G E N E R A L M E D I C A L S C I E N C E (3 credit hours each – choose 2 courses)Molecular & Cellular BiologyIntroduction to Functional Genomics
Introduction to Epidemiology (2 credits)
Principles of Clinical Trials
T E C H N I C A L E L E C T I V E S (3 credit hours each – choose 4 courses)Artificial Intelligence I
Digital Image Processing
Intelligent Data Analysis
Advanced Algorithms
Introduction to Cloud Computing
User Interface
Pattern Recognition
Data Warehousing and Mining
Biostatistics in Research
Advanced Statistical Methods in
Biomedical Research
Introduction to BiostatisticsApplied Bayesian Analysis
Advanced Health Care Data Analytics, Business Intelligence & Reporting
Community-Based Participatory Research
Quality Improvement & Patient Safety (1 credit)
Healthcare Operations Management
Quantitative & Qualitative Data Collection
Methods for Health Services Research (2 credits)
Analysis of Internet Health Data
TO APPLYApply Now through the UC admission system. Applications accepted August 1 through February 15.
Course descriptions available at med.uc.edu/bmigrad/doctoral/course-descriptions
B I O M E D I C A L I N F O R M ATICSRESEARCH AREAS
• Computational genomics & molecular medicine• Integrative -omics, single-cell analysis & gene regulatory circuits• Molecular modeling & structural bioinformatics• Medical imaging informatics• Natural language processing of clinical information• Computational infrastructure for federated research applications• Data mining for large-scale genomic & clinical studies• Data analysis for patient safety, quality improvement & clinical effectiveness research• Clinical decision support & expert systems• Integrative approaches for precision medicine• Advanced technology for improving patient care
W O R L D - C L A S S R E S E A R C H | S T R O N G S U P P O R T F O R YO U N G I N V E S T I G ATO R S V I B R A N T, A F F O R DA B L E CO M M U N I T Y
Can your research save lives? It happens here every day. Join us!
FACULT YBruce J. Aronow, PhD Professor Biomedical InformaticsRaj Bhatnagar, PhD Professor Electrical Engineering & Computer SystemsJudith Dexheimer, PhD Assistant Professor Emergency MedicineMark Eckman, MD Professor Internal MedicineEric Hall, PhD Assistant Professor Neonatology & Pulmonary BiologyBrett Harnett, MS-IS Assistant Professor Center for Health InformaticsJohn J. Hutton, MD Professor Emeritus Biomedical InformaticsAnil Goud Jegga, DVM, MRes Associate Professor Biomedical InformaticsKenneth M. Kaufman, PhD Professor Center for Autoimmune Genomics & EtiologyEric S. Kirkendall, MD, MBI, FAAP Associate Professor Hospital MedicineKakajan Komurov, PhD Assistant Professor Experimental Hematology & Cancer BiologyMichal Kouril, PhD Assistant Professor Biomedical InformaticsLong (Jason) Lu, PhD Associate Professor Biomedical InformaticsJun Ma, PhD Professor Biomedical InformaticsKeith Marsolo, PhD Associate Professor Biomedical InformaticsMario Medvedovic, PhD Professor Environmental HealthJarek Meller, PhD Graduate Program Director, Associate Professor Environmental Health Yizhao Ni, PhD Research Instructor Biomedical InformaticsJohn Pestian, PhD, MBA Professor Biomedical InformaticsAlexey Porollo, PhD Assistant Professor Center for Autoimmune Genomics & EtiologyMarepalli Rao, PhD Professor Environmental Health & Biomedical EngineeringNathan Salomonis, PhD Assistant Professor Biomedical InformaticsDaniel P. Schauer, MD, MSc Associate Professor Internal MedicineS. Andrew Spooner, MD, MS, FAAP Chief Medical Information Officer, Professor Biomedical Informatics Alexander Towbin, MD Associate Professor Radiology & Medical ImagingMichael Wagner, PhD Associate Professor Biomedical InformaticsMatthew Weirauch, PhD Assistant Professor Center for Autoimmune Genomics & EtiologyPeter S. White, PhD Division Director & Department Chair, Professor Biomedical InformaticsYan Xu, PhD Professor Neonatology & Pulmonary Biology
Faculty research highlights available at med.uc.edu/BMIgrad/research-faculty/faculty-research-highlights
B I O M E D I C A L I N F O R M ATICSDoctor of Philosophy
For more information, visit med.uc.edu/BMIgrad
or contact us at [email protected] or 513.636.6250
Join the conversation @cincyinformatix
Watch our video cincinnatichildrens.org/BMIgradvideo
B I O M E D I C A L I N F O R M ATICSApply Now