Master of Science in Biomedical Sciences (MSBS)

The MS in Biomedical Sciences (MSBS) is a research intensive degree program for individuals seeking to improve their credentials for PhD programs or to pursue careers in the biotech industry, government agencies, or higher education. With the exception of Biostatistics and Epidemiology, thesis work will involve in person, laboratory research at the bench. To be successful and graduate on time, students should expect to devote a minimum of 40 hours per week on their coursework and research projects.

Curriculum

Individuals admitted to this program and choosing any of the six laboratory science tracks complete 49-academic credit hours, including a minimum of 15 didactic semester hours, and thesis. The program includes classroom lectures, seminars, scientific writing requirements, oral presentations, and mentored original research. The degree is designed to be completed in 21 months on a continuous, full time basis, beginning each fall. Part-time enrollment is not permitted. The Fall 1 term is a common curriculum for all tracks except Biostatistics and Epidemiology, and students are encouraged to try different disciplines through laboratory rotations of the student's choice. Thesis mentors and tracks are usually chosen at the start of the Spring 1 term.

Year 1, Fall

CGS 765 Proteins:Dynam Struct & Funct 3
CGS 766 Genes: Inheritance/Expression 4
CGS 767 Cells:Organization/Communicate 3
CGS 768 Techniques & Experimental Design 2
CGS 970 Research 1
Semester Total 13*

Year 1, Spring

CGS 770 Principles Practices & Prof 2
Track Specific Research & Electives 7
Semester Total 9*

Year 1, Summer

CGS 762 Scientific Writing for MBS 1
Track Specific Research & Electives 8*
Semester Total 9*

Year 2, Fall

Track Specific Research & Electives 9*
Semester Total 9*

Year 2, Spring

Track Specific Research & Electives 9*
Semester Total 9*
Curriculum Total Minimum 49

*Required Track-specific additional coursework:

BMB 730. Seminar in Biochemistry Research & Methods, 1 credit hour, in Spring 1, Fall 2, Spring 2

NSCS 730. Fundamentals of Neuroscience, 2 credit hours, Spring 1

BMTRY 700. Introduction to Clinical Biostatistics, 4 credit hours

  • BMTRY 700. Introduction to Clinical Biostatistics, 4 credit hours
  • BMTRY 701. Biostatistical Methods II, 4 credit hours
  • BMTRY 702. Methods IV: Advanced ANOVA & Regression, 4 credit hours
  • BMTRY 706. Theoretical Foundations of Statistics I, 3 credit hours
  • BMTRY 707. Theoretical Foundations of Statistics II, 3 credit hours
  • BMTRY 711. Analysis of Categorical Data, 3 credit hours
  • BMTRY 713. Infectious Disease Epidemiology, 3 credit hours
  • BMTRY 714. Linear Models in Biology & Medicine, 3 credit hours
  • BMTRY 717. Statistical Methods in Clinical Trials, 2 credit hours
  • BMTRY 719. Bayesian Biostatistics, 3 credit hours
  • BMTRY 722. Analysis of Survival Data, 3 credit hours
  • BMTRY 724. Design and Conduct of Clinical Trials, 3 credit hours
  • BMTRY 725. Grant Development of Clinical Research, 2 credit hours
  • BMTRY 726. Multivariate Methods in Biology & Medicine, 3 credit hours
  • BMTRY 734. Cancer Epidemiology, 3 credit hours
  • BMTRY 736. Foundations of Epidemiology, 3 credit hours
  • BMTRY 737. Epidemiology of Cardiovascular Diseases, 3 credit hours
  • BMTRY 738. Field Epidemiology, 3 credit hours
  • BMTRY 745. Environmental Epidemiology, 3 credit hours
  • BMTRY 747. Foundations of Epidemiology II, 3 credit hours
  • BMTRY 748. Foundations of Epidemiology III, 3 credit hours
  • BMTRY 757. Molecular Epidemiology, 3 credit hours
  • BMTRY 759. Health Disparities, 3 credit hours
  • BMTRY 761. Longitudinal Data Analysis, 3 credit hours
  • BMTRY 763. Spatial Epidemiology - Statistical Methods & Applications, 3 credit hours
  • BMTRY 765. Chronic Disease Epidemiology, 3 credit hours
  • BMTRY 766. Methods & Outcomes in Cancer Population Sciences, 3 credit hours
  • BMTRY 776. Public Health Seminar, 1 credit hour
  • BMTRY 779. Advanced Inference, 4 credit hours
  • BMTRY 781. Methods in Clinical Cancer Research, 2 credit hours
  • BMTRY 783. Statistical Methods for Bioinformatics, 2 credit hours
  • BMTRY 784. Biostatistical Methods III, 3 credit hours
  • BMTRY 785. Probability & Statistical Inference, 3 credit hours
  • BMTRY 790. Machine Learning & Data Mining, 3 credit hours