Course details
This course aims to produce technically competent, innovative graduates that will become leading practitioners in the field of data analytics. Upon completion, graduates will be able to:
- Conduct independent research and analysis in the field of data analytics
- Implement a research idea using the latest industry practices
- Demonstrate expert knowledge of data analysis and statistics
- Critically assess and evaluate business and technical strategies for data analytics
- Develop and implement business and technical solutions for data analytics
The course is designed to accommodate those whose specific interests in data analytics may be of a more technically or a more business focused nature. Students will gain exposure to product commercialisation issues associated with data analytics. The course is delivered by faculty and practitioners using academic research, industry-defined practical problems, and case studies.
Who is the course for?
This course is for graduates who have substantial technical and mathematical skills. Graduates from non-STEM disciplines (Science, Technology, Engineering, and Mathematics) that have not developed these skills will need to be able to demonstrate an aptitude for technical and mathematical problem solving.
Award
A Postgraduate Diploma in Data Analytics is awarded by QQI at level 9 on the National Framework of Qualifications.
Course Content
Semester 1
- Statistics for Data Analytics
- Data Warehousing and Business Intelligence
- Strategic ICT & eBusiness Implementation
- Career Bridge
- Data Storage and Management - Elective
- Managing the Organisation - Elective
Semester 2
- Advanced Data Mining
- Research in Computing
- Data Visualisation
- Career Bridge
- Analytical CRM - Elective
- Programming for Data Analytics - Elective
Course Assessment
The course will be assessed with a blend of project work and exams. This varies between modules but typically assessment is 50% continuous assessment and 50% exam. Please note that in some instances exams may take place in the daytime.
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