Develop the research and analytical skills used in modern biomedicine and health sciences in this asynchronous online course designed for pre-health students. Explore experimental design, quantitative measurement and data evaluation in contexts relevant to clinical diagnostics, pharmaceutical development and biomedical research. You’ll also gain training in research ethics, data analysis and professional communication to prepare for advanced study and health-related careers.
Through recorded lectures and interactive multimedia modules students explore modern analytical techniques such as spectroscopy, chromatography, electrochemistry and mass spectrometry. Online discussion boards and peer-feedback activities foster collaboration and critical dialogue, while assignments and data-analysis exercises provide opportunities for applied practice.
This course covers:
- Foundations of analytical chemistry in health sciences
- Quantitative and qualitative analysis
- Spectroscopic techniques
- Mass spectrometry in biomedical applications
- Electrochemical and biosensor methods
Learning Outcomes
- Explain the theoretical foundations of major analytical chemistry techniques and evaluate their applications in biomedical and clinical settings
- Design and critique experimental protocols relevant to chemical, pharmaceutical and health-related research questions
- Collect, analyze and interpret data using appropriate analytical approaches and digital tools for biological and clinical samples
- Assess the accuracy, precision and limitations of analytical methods in contexts such as diagnostic testing, pharmacology and environmental health
- Communicate research findings effectively through online presentations, digital reports and peer-reviewed assignments tailored to biomedical audiences
- Demonstrate ethical practices in research design, data analysis and dissemination of findings in health science contexts
Skills You Will Gain
- Experimental design in analytical chemistry
- Quantitative data analysis
- Spectroscopy and chromatography applications
- Scientific reporting and presentation
- Data interpretation
- Research ethics and data integrity