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PhD in Biomedical Data Science and Informatics (Joint with Clemson) | 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, 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):

Area I - Biomedical Informatics Foundations and Applications
 Sub Area   Course Number Course Name Credit Hours
 Research Foundations Choose 1       
    CLEM: HLTH 8210  Health Research I 3
    CLEM: BIOE 6150  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      
    CLEM: CPSC 5450  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
        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
Meth and Computing Foundations Choose 1       
    CLEM: MATH 8050  Data Analysis 3
    CLEM: STAT 8010  Statistical Methods 3
    MUSC: BIOMI 810 Math Methods in Med. Imaging 3
      Total Required Hours  3
Data Science Choose 1      
    CLEM: CPSC 8100 Intro to Artificial Intelligence
    CLEM: CPSC 6810 Data Science
    MUSC: BDSI 721  Applied Machine Learning
       Total Required Hours 3
  Choose 2   
  Biostatistics  CLEM: STAT 8190 Biostatistics 3
  CLEM: HLTH 8310  Quantitative Analysis in Health Research I 3
  MUSC: BMTRY 700  Intro to Clin Biostatistics   4
  MUSC: BMTRY 701  Biostatistical Methods II 
  Data Mining  CLEM: CPSC 8650  Data Mining 3
  CLEM: ECE 8560  Pattern Recognition 3
  CLEM: CPSC 8480 Network Science 3
  CLEM: MATH 8070 Applied Multivariate Statistical Analysis 3
  MUSC: BMTRY 719 Bayesian Biostatistics 3
  Visualization and exploratory data analysis  CLEM: CPSC 8040  Data Visualization 3
  CLEM: CPSC 8810  Advanced Visualization 3
  Image Processing  CLEM: ECE 6930  Intro to Computer Vision  3 
  CLEM: ECE 8770  Computer Vision 3
  CLEM: ECE 8470 Digital Image Processing  3
  CLEM: BIOE 6310  Medical Imaging (&6311 non credit lab) 3
  MUSC: BIOMI 812  Signal and Image Processing  3 
  Decision analysis  CLEM: MATH 6410 Introduction to Stochastic Models 3
  CLEM: ECE 6420  Knowledge Engineering 3
  CLEM: IE 8030  Engineering Optimization and Applications 3
  CLEM: IE 8520  Prescriptive Analytics 3
  Geospatial Analysis  CLEM: PADM 8420  GIS for Public Administrators 3
  MUSC: ### GIS and Mapping for Public Health 3
  Algorithms/Data Structures  CLEM: CPSC 8400  Design and Analysis of Algorithms 3
  CLEM: CPSC 8380  Advanced Data Structures 3
  Natual Language Processing  MUSC: ### Biomedical Natural Lang  3
       Total Required Hours
 Systems and Data Management Choose 2       
   Data Management Tools and Tech CLEM: CPSC 6620  Database Management 3
  CLEM: CPSC 8620  Database Management System Design 3
  CLEM: CPSC 8470  Intro to Information Retrieval 3
  MUSC: HIN 700  Database Management 3
  Computing Environments  CLEM: CPSC 6550 Computational Science 3
  CLEM: CPSC/ECE 6780  General Purpose Computation on GPUs 3
  CLEM: ECE 8780  High Performance Computing with GPUs 3
  CLEM: CPSC 8200  Parallel Architectures 3
  CLEM: ECE 6730  Intro to Parallel Systems 3
  CLEM: ECE 8750  Peer to Peer, Wireless and Cloud Computing 3
  CLEM: CH 9300  Intro to Scientific Computing 3
  Performance and Scalability  CLEM: CPSC 8300 Systems Modeling 3
  Human Factors   CLEM: CPSC 6140  Human and Computer Interaction 3
    CLEM: HCC 8310  Fundamentals of Human Centered Computing 3
    CLEM: IE 6880  Human Factors Engineering 3
    CLEM: IE 8000  Human Factors Engineering
  Applied Software Engineering  CLEM: CPSC 8710 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    
    CLEM: HLTH 8110 Health Care Delivery Systems 3
    CLEM: HLTH 8020 Health Economics 3
    CLEM: HLTH 8140 Health System Quality Improvement 2
    CLEM: HLTH 8100 Health Policy 3
    MUSC: HAP 704  Health Policy 3
    MUSC: HAP 632  Quality Mgmt of Hlth Care Svcs   3 
    MUSC: HAP 735  Health Law & Risk Management 3
    MUSC: HIN 716  Ethical, Legal, and Regulatory  3
    CLEM: HLTH 8130  Population Health and Research 2
    CLEM: HLTH 8900  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
 Biomedical Sciences Choose 1      
    CLEM:BIOE 8460 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
    CLEM: BCHM 6360 Molecular Biology: Geners to Proteins 3
    CLEM: BCHM 6430  Molecular Basis of Disease 3
    CLEM: GEN 6700 Human Genetics  3 
    CLEM: BIOL 6030 Introduction to Applied Genomics 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 ### Seminars 4
    MUSC:BDSI 990 Dissertation 18
      Total Required Hours  24
      Total Required Hours for Area V  24
      Total Credit Hours Required for Degree  65