Motivation
A Ph.D. in Bioinformatics Data Science will train the next-generation of researchers and professionals who will play a key role in multi- and interdisciplinary teams, bridging life sciences and computational sciences. Students will receive training in experimental, computational and mathematical disciplines through their coursework and research. Students who complete this degree will be able to generate and analyze experimental data for biomedical research as well as develop physical or computational models of the molecular components that drive the behavior of the biological system.
Degree Requirements (Browse Courses)
Students must complete a minimum of 15 credits of coursework, 6 credits of seminar, 6 credits of research and 9 credits of doctoral dissertation. Students who are admitted directly after a B.S. degree will be required to fulfill the Bioinformatics and Computational Biology M.S. core curriculum by completing an additional 9 credits as prerequisites (for a total of 24 credits) in the following areas: Database Systems, Statistics, and Introduction to Discipline. In addition, if students entering the program with an M.S. degree are lacking equivalent prerequisites, they also will be required to complete courses in these three areas; however, these courses may fulfill the elective requirement in the Ph.D. program, if approved in the program of study.
| Credit Requirements | Credits |
|---|---|
| A. Bioinformatics & Systems Biology Core | 9 |
| B. Prerequisites | up to 9 |
| C. Electives | 6 |
| D. Seminar | 6 |
| E. Research | 6 |
| F. Doctoral Dissertation | 9 |
| Total Number of Required Credits | 36-45 |
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A. Bioinformatics & Systems Biology Core Courses 9 credits Bioinformatics Select one BINF644 Bioinformatics 3 Systems Biology BINF694 Systems Biology I:
Experimental Techniques and Bioinformatics Analysis of Omics Data3 BINF695 Computational Systems Biology:
Computational Modeling of Processes in Cells and Biological Systems3 B. Prerequisites 3-9 credits Introduction to Discipline (select one) BISC609 Molecular Biology of the Cell 3 BISC654 Biochemical Genetics 3 PLSC636 Plant Genes and Genomes 3 MAST697 Bioinformatics Programming for Biologists 3 Database BINF640 Databases for Bioinformatics 3 CISC637 Database Systems 3 Biostatistics (select one) STAT656 Biostatistics 3 C. Elective Courses 6 credits Recommended Electives CISC841 Algorithms in Bioinformatics 3 CISC844 Computational Biomedicine 3 CISC879 High Performance Computing and Data Analytics 3 CISC889 Advanced Topics in Artificial Intelligence 3 CHEG621 Metabolic Engineering 3 ELEG671 Mathematical Physiology 3 EGGG667 Technical and Scientific Writing 1 MAST607 Writing Papers in the Marine Sciences 3 UAPP648 Environmental Ethics 3 UAPP650 Values Ethics and Leadership 3 BUAD840 Ethical Issues in Global Business Environments 3 BINF815 Ethics, Business and Communication 3 Other Electives ANFS670 Principles of Molecular Genetics 3 ANFS/PLSC671 Paradigms in Cell Signaling 3 BINF650 Protein Modifications: A Proteomics and Bioinformatics Approach 3 BISC600 Biotechnology and Molecular Medicine 3 BISC602 Molecular Biology of Animal Cells 3 BISC612 Advanced Cell Biology 3 BISC615 Vertebrate Developmental Biology 3 BISC631 Practice of Science 3 BISC641 Microbial Ecology 3 BISC645 Bacterial Evolution 3 BISC656 Evolutionary Genetics 3 BISC665 Advanced Molecular Biology & Genetics 3 BISC671 Cellular and Molecular Immunology 3 BISC679 Virology 3 BISC682 Bacterial Pathogens: Molecular Mechanisms 3 BISC833 Special Topics in Biology 3 CHEG620 Biochemical Engineering 3 CHEM624 Principles of Mass Spectrometry 3 CHEM645 Protein Structure and Function 3 CHEM646 DNA-Protein Interactions 3 CHEM649 Molecular Biophysics 3 CISC621 Algorithm Design and Analysis 3 CISC681 Artificial Intelligence 3 CISC683 Introduction to Data mining 3 CISC882 Natural Language Processing 3 CISC886 Multi-Agent Systems 3 CISC887 Internet Information Gathering 3 CISC888 Machine Learning 3 CPEG/ELEG657 Search and Data Mining 3 ELEG633 Image Processing 3 ELEG652 Principles of Parallel Computer Architectures 3 ELEG655 High-Performance Computing with Commodity Hardware 3 ELEG679 Introduction to Medical Imaging Systems 3 ELEG680 Immunology for Engineers 3 MAST616 Methods in Molecular Biology 3 MAST618 Marine Microbial Ecology 3 MAST623 Physiology of Marine Organisms 3 MAST625 Microbial Physiology and Diversity 3 MAST634 Marine Molecular Sciences 3 MATH607 Survey of Scientific Computing 3 MATH611 Introduction to Numerical Analysis and Scientific Computing 3 STAT608 Statistical Research Methods 3 STAT615 Design and Analysis of Experiments 3 STAT619 Time Series Analysis 3 STAT670 Introduction to Statistical Analysis I 3 STAT671 Introduction to Statistical Analysis II 3 D. Seminar 6 credits Seminar BINF865 Seminar 1 E. Research 6 credits Research BINF 868 Research (until Successful completion of preliminary exam) 1-6 BINF 964 Pre-Candidacy (until Successful completion of candidacy exam) 1-6 F. Dissertion 9 credits BINF969 Doctoral Dissertation 1-9