Program Overview

Data Analytics for Cancer Real World Data Research

Overview

The purpose of this module is to provide practical experience and upskill data scientists and health informatics professionals who manage, curate, or analyse cancer electronic health data and/or are engaged in cancer real world evidence research.

Programme Content

Learning Outcomes

On successful completion of this module, students will be able to:

• Recommend standards for interoperability and secondary use of data in the cancer healthcare record
• Explain why a common data model systems facilitates observational studies
• Critically evaluate data quality of observational health data when framing a research question
• Create and validate software to standardise raw health data to a common data model with standardised terminologies and ontologies
• Evaluate software to query, map fields, construct concept sets, and standards for genetic and genomic data
• Defend that software adheres to open-source software community best practice, and facilitates reproducible secondary data research
• Effectively and respectively participate in multidisciplinary research teams that process healthcare data for secondary use
• Display commitment to ethical and rigorous standards in secondary use of healthcare data
• Design and produce software that harmonises health data to a common data model and enables secondary data analysis

Assessment

There is no final exam for this module. Students will be assessed through continuous skill-based assignments.

Student Weekly Time Commitment

15 hours

Entry Requirements

Applicants must have a minimum Level 8 honours degree, at minimum second class honours (NFQ or other internationally recognised equivalent), in a relevant engineering, computing, mathematics, science, or technology discipline. Proficient in R or Python is essential. Experience in working with healthcare or cancer data is required.

Fees

• EU: 1,250
• Non-EU: 1,250

Course Details

• Course Code(s): BM6063
• Available: Part-Time
• Intake: Autumn/Fall
• Duration: 6 Weeks
• Award: University Certificate of Study
• Qualification: NFQ Level 9 Minor Award
• Faculty: Education and Health Sciences
• Course Type: Professional/Flexible, Online