Biomedical Sciences' Curriculum

KCU Masters of Biomedical Sciences Curriculum

KCU’s Masters of Biomedical Sciences' curriculum puts you ahead of the curve in a career of biomedical sciences and research. It also gives you an edge over students who enter medical school directly after an undergraduate program if you choose to continue your educational career.

One-Year Program Curriculum

Our semester-based curriculum follows a typical graduate program scenario. For the one-year track, there are eight required courses and two elective courses selected from four available elective courses. 

Required Courses for One-Year Track
All courses considered electives for two-year track students.

  • Anatomy 1 & 2
  • Physiology 1 & 2 
  • Epidemiology 
  • Biochemistry 
  • Immunology 
  • Molecular Biology
  • Research Methodology

Elective Options

  • Histology 
  • Human Genetics 
  • Human Embryology 
  • Microbiology
  • Bioinformatics
  • Computer Programming for Bioinformatics
  • Algorithms and Development for Bioinformatics

Two-Year Research Program Curriculum

The two-year track is a research track in which you take seven elective courses drawn from the full list of courses offered to the one-year track students in addition to research- and thesis-related courses for your research activity. You’ll also write a thesis and must pass a public defense of your research project. You will have the opportunity to study Bioinformatics, which has an important role in the future of the bioscience and medical industries. 

Primary Research Track Courses

  • Research Seminar
  • Research
  • Thesis Dissertation
  • Scientific Communication
  • Scientific Methodologies

Elective Courses

Students are required to complete seven of the following courses:

  • Anatomy 1 & 2
  • Histology
  • Human Physiology 1 & 2
  • Human Genetics
  • Introduction to Epidemiology
  • Biochemistry
  • Molecular & Cell Biology
  • Immunology
  • Human Embryology & Dev Biology
  • Microbiology
  • Pharmacology
  • Bioinformatics
  • Intro to Computer Programming
  • Bioinformatics Algorithms
  • Biostatistics