Tracks

Molecular and Computational Biology

To provide a home for the pursuit of basic science research in the SYBB program, the SYBB Track in Molecular and Computational Biology will train students in the application and development of computational approaches to problems in molecular biology. From genome sequencing to protein folding, students will be equipped to analyze a wide variety of biological phenomena from the standpoint of systems biologist.

Translational Bioinformatics

Building on the combined strengths of the Department of Genetics and Genome Sciences and the Center for Proteomics and Bioinformatics, the new SYBB Track in Translational Bioinformatics will train students to work at the interface of -omics and clinical medicine. From integrating genomic data into EMRs, to developing tools to communicate genomic risk to consumers, students trained in Translational Bioinformatics will learn how bioinformatics tools and technologies can be integrated into clinical workflows. Graduates of this training track will find ample opportunities within industry and, as genomics enters the clinical arena, within hospitals, as well.

Clinical Research Informatics

The field of informatics and, accordingly, its training are divided into administrative informatics - entailing the installation, maintenance, and development of EMRs and other clinical databases - and research informatics - entailing the analysis of the data housed in such databases. Clinical Research Informatics is one of the primary domains in informatics that directly supports translational research (REF). Consequently, MS-level training in this discipline can not only equip professionals to enter the biomedical workforce, but can also provide valuable instruction to medical students and physicians who wish to leverage informatics to improve their practice of medicine. The course of study in Clinical Research Informatics will guide students through the analysis of actual patient datasets provided by local hospitals, physicians, and/or companies. Instruction will be provided on topics ranging from informatics tools, to the structure of clinical databases, to the statistical analysis of clinical datasets, gradually teaching students how to work through real-world clinical scenarios to derive models, predictions, and insight that can improve the practice of medicine.

Applied Health Informatics

Specialists are also needed to handle the application of informatics and informatics technology to deliver healthcare services. To this end, the SYBB Track in Applied Health Informatics will train professionals in the operational and administrative aspects of informatics, including clinical decision support, clinical documentation, order entry systems, and system design and implementation. Designed to provide broad exposure to the overall field of informatics, as well as aspects of information systems management, students in this track will be trained to serve as informatics liaisons in clinical workflows or informatics administrators in industry.

Proposed Course of Study For Each Track

  Molecular and Computational Biology Translational Bioinformatics Clinical Research Informatics Applied Health Informatics
Fall I PHOL 426: Proteins and nucleic acids Elective Elective Elective
Fall I EPBI 431: Statistical Methods I EPBI 451: An Introduction to Genes, Health, and Disease EPBI 431: Statistical Methods I EPBI 510: Healthcare Disparities
Fall I SYBB 411: Survey of Bioinformatics SYBB 411: Survey of Bioinformatics SYBB 421: Clincal Informatics at the Bedside and the Bench Part I SYBB 421: Clincal Informatics at the Bedside and the Bench Part I
Spring I EECS 459: Bioinformatics for Systems Biology EECS 459: Bioinformatics for Systems Biology EPBI 432: Statistical Methods II EPBI 504: Seminar in Healthcare organization, outcomes, and policy
Spring I SYBB 555: Current Proteomics SYBB 555: Current Proteomics EECS 435: Data Mining MIDS 301:Introduction to Information - A systems and design approach
Spring I Elective Elective Elective Elective
Fall II BIOL 419: Applied probability and stochastic processes for biology EPBI 457: Current Issues in Genetic Epidemiology: Design and Analysis of Sequencing Studies EECS 440: Machine Learning MPHP 405: Statistical Methods in Public Health
Fall II BIOC 420: Molecular genetics of cancer BIOC 528: Contemporary approaches to drug discovery EPBI 515: Secondary analyses of large healthcare databases EPBI 515: Secondary analyses of large healthcare databases
Spring II BIOC 430: Advanced methods in structural biology: computational biology BETH 412: Ethical Issues in Genetics/Genomics EPBI 460: Introduction to Health Services Research EPBI 460: Introduction to Health Services Research
Spring II EPBI 432: Statistical Methods II EPBI 502: Seminar in Genetic Epidemiology and Bioinformatics EPBI 504: Seminar in Healthcare organization, outcomes, and policy MIDS 432: Health care information management & systems
Total Credits 30 30 30 30