Clinical Research

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Courses - May 2025

Level 1

Course details

Effective Communication in Clinical Research
COMM8540


Conestoga 101
CON0101


Good Clinical Practice and Research Ethics
ETHS8070


Managing Clinical Research
MGMT8335


Clinical Quality Assurance Foundations
QUAL8460


Introduction to Clinical Research
RSCH8170


Clinical Research Regulation
RSCH8210


Clinical Laboratory Procedures: Microbiology, Physiology, and Pharmacology
RSCH8220


Level 2

Course details

Career Management
CDEV8132


Clinical Research Data Management and Biostatistics
RSCH8230


Clinical Trial Design and Administration
RSCH8240


Epidemiological Studies Design and Administration
RSCH8250


Clinical Research Project Management
RSCH8260


Artificial Intelligence in Clinical Research
RSCH8270


Clinical Research Capstone
RSCH8280


Please note:

Estimated required text and/or learning resource costs are based on the most recent available data through the Conestoga Campus Store.

Program outcomes

  1. Develop, implement and maintain processes and Standard Operating Procedures to execute clinical research projects that align with principles of quality assurance and comply with applicable regulatory frameworks and best practices.
  2. Communicate and collaborate with relevant stakeholders to complete research studies according to requirements.
  3. Collect, verify and oversee the integrity of research data from acquisition to recording.
  4. Monitor project progress to proactively resolve project related challenges to mitigate risks and improve quality of projects.
  5. Obtain and maintain required ethical and regulatory approvals to ensure the protection and safety of clinical trial participants and the integrity of research data.
  6. Manage the operations of research projects to ensure compliance and completion within time and budget constraints.
  7. Identify and apply strategies to support culturally safe research settings involving diverse communities.
  8. Participate in professional development activities to maintain currency and compliance in a changing clinical research industry.
  9. Employ artificial intelligence, such as machine learning to guide clinical research development, improve data, and provide quality checks to ensure accuracy and efficiency