Master of Science in Clinical Investigation and Translational Science Coursework & Grading

Thirty semester credit hours (SCH) are required to obtain the Master of Science in Clinical Investigation and Translational Science degree. 

See MSCI-TS Full-Time Degree Plan Here

See MSCI-TS Part-Time Degree Plan Here

Required Courses

 Degree-seeking students must successfully complete the following didactic courses.  

• TSCI 5070 (2.0 SCH) Responsible Conduct of Research  
• TSCI 5071 (2.0 SCH) Patient-Oriented Clinical Research Methods -I  
• TSCI 5072 (2.0 SCH) Patient-Oriented Clinical Research Biostatistics - I  
• TSCI 5073 (1.0 SCH) Integrating Molecular Biology with Patient-Oriented Clinical Research  
• TSCI 5074 (2.0 SCH) Data Management, Quality Control, and Regulatory Issues  
• TSCI 5075 (2.0 SCH) Scientific Communication  
• TSCI 5080 (1.0 SCH) Integrating Molecular Biology with Patient-Oriented Clinical Research Practicum (Prerequisite: TSCI 5073)  
• TSCI 6060 (2.0 SCH) Patient-Oriented Clinical Research Methods -2 (Prerequisite: TSCI 5071)  
• TSCI 6061 (2.0 SCH) Patient-Oriented Clinical Research Biostatistics – 2 (Prerequisite: TSCI 5072)  
• TSCI 6065 (2.0 SCH) Health Services Research  (Prerequisite: TSCI 5071 & TSCI 6060)  

Research Course

Students with a MSCI-TS COGS approved Research Project Proposal, may enroll to receive course credit (1.0 – 4.5 SCH) for research. Students will begin participating in mentored research activities under the direction of the Supervising Professor and register to receive research course credit (TSCI 6097 – Mentored Research). The Research Course is set up for the student to conduct their Mentored Research Project with their Supervising Professor. The MSCI-TS Academic Coordinator will provide the student and Supervising Professor with the Planned Activities Form to be completed before enrolling in TSCI 6097, in which the student and Supervising Professor will detail a tentative plan that describes their planned activities for the MSCI-TS COGS approved Research Project Proposal (RPP).  This time is to be spent directly working on the project and includes, but is not limited to, writing consent forms, collecting data, analyzing data, and preparing a manuscript. In order to receive credit for the course, the student and their Supervising Professor must submit a Satisfactory Completion of Planned Activities Form to the MSCI-TS Program Director through the MSCI-TS Academic Coordinator at least two weeks prior to the deadline for submitting grades. 

Students must enroll in TSCI 6097 Mentored Research for at least two semesters to be eligible for consideration for graduation. 

Thesis Course

After satisfactory completion of your approved Research Project (TSCI 6097), you will then prepare your Manuscript for submission to a peer-reviewed journal while enrolled in TSCI 6098 Thesis (1 SCH) during your final semester in the program (not to exceed two semesters). After submission of your manuscript to a peer reviewed journal you will then submit your Manuscript submission packet for the MSCI-TS COGS to review and provide final degree approval. 

Elective Courses

Diverse elective courses are sponsored by the Master of Science in Clinical Investigation and Translational Science Program and are available and may be taken in any semester when offered. These include: 

• TSCI 5050: Introduction to Data Science (1 SCH)
• TSCI 5077: Translational Science Practicum (1 – 3 SCH)
• TSCI 5201 Advanced Statistics for Machine Learning Methods: Statistical Principles of Machine Learning Applied to Biomedical Data (3 SCH)
• TSCI 5230 Programing for Biomedical Data Science (3 SCH)
• TSCI 6001: Intro to Translational Science (1 SCH)
• TSCI 6067: Genomic Healthcare (1 SCH)
• TSCI 6069: Statistical Issues, Planning, and Analysis of Contemporary Clinical Trials (2 SCH)
• TSCI 6070: Biostatistics Methods for Longitudinal Studies (2.0 SCH)
• TSCI 6100:  Practicum in IACUC Procedures (1 SCH)
• TSCI 6101:  Topics in Translational Science (1 SCH)
• TSCI 6102:  Practicum in IRB Procedures (1 SCH)
• TSCI 6105:  Topics in Cancer Prevention (1 SCH)
• TSCI 6106:  Practicum in Cancer Prevention Sciences (1 SCH)
• TSCI 6201:  Data Science Leadership in Healthcare (1 SCH)
• TSCI 6202:  Data Visualization and Building Applications (2 SCH)
• TSCI 6203:  Practicum in Biomedical Data Science (2 SCH)

In addition to the elective courses outlined above, requests for substitution of other graduate-level courses will be considered on a case-by-case basis. A written request for consideration of alternative elective coursework must be submitted to the program director through the academic coordinator.  

Grade Requirement

Student performance in courses is assessed on a satisfactory (S) / Unsatisfactory (U) basis. Any student who receives less than a Satisfactory (S) assessment in any of the requisite core courses will be required to retake the course and receive a passing grade during the next academic year.