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PhD in Biomedical Data Science and Informatics (Clemson-MUSC Joint Program) | Curriculum

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Each student will work with the graduate coordinator, academic advisor, and dissertation committee to construct a program of study that conforms to the requirements outlined below and takes into account both the student’s prior preparation and intended research area. In cases where the student comes to the program with prior coursework in a required area, the graduate coordinator may approve a substitution. In cases where a student lacks prerequisites for a required course, the student will be asked to complete both the pre-requisite coursework and the required course. Because the curriculum will be tailored to each student, the time needed to complete the degree will vary, but in general, it is expected that students can complete the degree in five years or less.

Additional requirements include passing a qualifying exam, a dissertation proposal, and ultimately a dissertation and its defense.

Students will have a designated "home institution" -- either Clemson or MUSC -- at which they will be physically located. However, all students in this program will take graduate classes from both institutions. Students will not be required to travel between campuses as courses will be made available to students both on-campus and via synchronous remote capability. Courses will be offered at the Clemson main campus, MUSC main campus, the University Center at Greenville (Clemson University), and the Zucker Family Graduate Education Center (on CURI campus, North Charleston).

This doctoral program is a research degree. Students will pursue one of three track specialty areas which include precision medicine, population health, and clinical and translational informatics. All students will have the opportunity to work directly with one or more program faculty members on research related to data science and informatics. Doctoral students will be immersed in the research environment and will actively engage in authoring research proposals, conducting research, writing abstracts and manuscripts, and presenting research findings.

Coursework (65-68 total hours):

*This course is delivered through Clemson University as part of a joint Biomedical Data Science and Informatics program.

Area I - Biomedical Informatics Foundations and Applications
 Sub Area   Course Number Course Name Credit Hours
 Research Foundations Choose 1       
    *MUSC: BDSI #### Health Research I 3
    *MUSC: BDSI #### Research Principles and Concepts 3
    MUSC: HIN 708  Applied Statistical & Research  3
    MUSC: DHA 866  Applied Research 3
      Total Required Hours  3
 Biomedical Informatics Foundations Required Courses      
    MUSC: BDSI 701  Intro Biomedical Informatics 
    MUSC: BDSI 702  Biomedical Data Standards 
       Total Required Hours
 Track Specific Core Course  Choose 1   
    MUSC: BDSI 711  Precision Medicine Informatic 3
    *MUSC: BDSI #### Population Health Informatics 3
    MUSC: BDSI 712  Translational Informatics 3
       Total Required Hours  3 
 Additional Elective Choose 1-2      
    *MUSC: BDSI #### Bioinformatics Algorithms 3
    MUSC: BMTRY 783  Stat Methods for Bioinformatic   2 
    MUSC: BDSI ###  Panomics 3
    MUSC: BDSI ###  Consumer & Quantified Self  2 
    MUSC: BDSI ###  Health Enterprise Analytics
    MUSC: BDSI 731  Microbiome Informatics
        Total Required Hours
      Total Required Hours for Area I  15-16

 

Area II - Computing/Math/Stats/Engineering
 Sub Area   Course Number Course Name Credit Hours
Math and Computing Foundations Choose 1       
    *MUSC: BDSI #### Data Analysis 3
    *MUSC: BDSI #### Statistical Methods 3
    MUSC:BMTRY 700 Intro to Clin Biostatistics   4
      Total Required Hours  3
Data Science - Machine Learning Choose 1      
    *MUSC: BDSI #### Intro to Artificial Intelligence
    *MUSC: BDSI #### Applied Data Science
    MUSC: BDSI 721  Applied Machine Learning
       Total Required Hours 3
  Choose 2   
  Data Science - Biostatistics  *MUSC: BDSI #### Biostatistics 3
  *MUSC: BDSI #### Quantitative Analysis 3
  MUSC: BMTRY 701  Biostatistical Methods II 
  Data Science - Data Mining  *MUSC: BDSI 8650 Data Mining 3
  *MUSC: BDSI #### Pattern Recognition 3
  *MUSC: BDSI #### Network Science 3
  *MUSC: BDSI #### Applied Multivariate Statistical Analysis 3
  MUSC: BMTRY 719 Bayesian Biostatistics 3
  Data Science -
Visualization and exploratory data analysis 
*MUSC: BDSI #### Data Visualization 3
  *MUSC: BDSI 8810 Deep Learning 3
  Data Science - Image Processing  *MUSC: BDSI #### Intro to Computer Vision  3 
  *MUSC: BDSI #### Medical Imaging (&6311 non credit lab) 3
  Data Science - Decision analysis/Knowledge/
Integration/Modeling
*MUSC: BDSI 6410 Introduction to Stochastic Models 3
  *MUSC: BDSI #### Knowledge Engineering 3
  *MUSC: BDSI #### Engineering Optimization and Applications 3
  *MUSC: BDSI #### Prescriptive Analytics 3
  Data Science - Geospatial Analysis  *MUSC: BDSI #### GIS for Public Administrators 3
  MUSC: ### GIS and Mapping for Public Health 3
  Data Science - Algorithms/Data Structures  *MUSC: BDSI #### Design and Analysis of Algorithms 3
  *MUSC: BDSI #### Advanced Data Structures 3
  Data Science - Natual Language Processing  MUSC: ### Biomedical Natural Lang  3
       Total Required Hours
 Systems and Data Management (SDM) Choose 2       
  SDM - Data Management Tools and
Technology
*MUSC: BDSI #### Database Management 3
  *MUSC: BDSI #### Database Management System Design 3
  *MUSC: BDSI ####  Intro to Information Retrieval 3
  MUSC: HIN 700  Database Management 3
  SDM - Computing Environments  *MUSC: BDSI #### Computational Science 3
  *MUSC: BDSI ####  General Purpose Computation on GPUs 3
  *MUSC: BDSI #### High Performance Computing with GPUs 3
  *MUSC: BDSI 8200 Parallel Architectures 3
  *MUSC: BDSI #### Intro to Parallel Systems 3
  *MUSC: BDSI #### Intro to Scientific Computing 3
  SDM - Performance and Scalability  *MUSC: BDSI #### Systems Modeling 3
  SDM - Human Factors   *MUSC: BDSI #### Human and Computer Interaction 3
    *MUSC: BDSI #### Fundamentals of Human Centered Computing 3
    *MUSC: BDSI #### Human Factors Engineering 3
  SDM - Applied Software Engineering  *MUSC: BDSI #### Foundations of Software Engineering
        Total Required Hours 6
      Total Required Hours for Area II   18

Area III - Population Health, Health Systems, and Policy
 Sub Area   Course Number Course Name Credit Hours
 Health Systems Choose 2 (courses with different titles)    
    *MUSC: BDSI #### Health Care Delivery Systems 3
Health Policy    MUSC: HAP 704  Health Policy 3
Quality & Safety    *MUSC: BDSI #### Health System Quality Improvement  2
    MUSC: HAP 632   Quality Mgmt of Hlth Care Svcs   3
Ethical, Legal & Social Issues, Privacy and Security    MUSC: HAP 735  Health Law & Risk Management 3
    MUSC: HIN 716  Ethical, Legal, and Regulatory  3
Population Health    *MUSC: BDSI #### Population Health and Research 2
    *MUSC: BDSI #### Epidemiology 3
    MUSC: BMTRY 736  Foundations of Epidemiology 
    MUSC: BMTRY 747  Foundations of Epidemiology II  3
      Total Required Hours  5
      Total Required Hours for Area III  5-6

Area IV - Domain Biology/Medicine
 Sub Area   Course Number Course Name Credit Hours
Foundations of Biomedical Sciences Choose 1      
    *MUSC: BDSI #### Biomedical Basis for Engineered Replacement 3
    MUSC: CGS 765 Proteins:Dynam Struct & Funct 3
    MUSC: CGS 766  Genes: Inheritance/Expression   4 
    MUSC: CGS 767 Cells:Organization/Communicat 3
Biochemistry / Pathology    *MUSC: BDSI #### Molecular Biology: Geners to Proteins 3
    *MUSC: BDSI ####  Molecular Basis of Disease 3
Genetics    *MUSC: BDSI #### Human Genetics  3 
      Total Required Hours  3
      Total Required Hours for Area IV  3-4

Area V - Lab rotations, seminars, doctoral research
 Sub Area   Course Number Course Name Credit Hours
   Lab Rotations MUSC: CGS 720/721 Laboratory Rotation 4
    MUSC: BDSI 700 Seminars 4
    MUSC:BDSI 970 Research 18
      Total Required Hours  24
      Total Required Hours for Area V  24
      Total Credit Hours Required for Degree  65