MSc in Data Analytics
This computing course aims to produce high-quality, technically competent, innovative graduates that will become leading practitioners in the field of data analytics. Upon completion of this course, 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
About this Course
The course structure accommodates a wide audience of learners whose specific interests in data analytics may be either technically focused or business focused. All students will also gain exposure to pertinent legal issues and product commercialisation considerations associated with the data analytics field.
The course will be delivered using academic research, industry-defined practical problems, and case studies. This approach will naturally foster a deeper knowledge of the subject area and create transferable skills for work such as critical thinking, problem-solving, creative thinking, communication, teamwork and research skills. The course is completely delivered by faculty and industry practitioners with proven expertise in data analytics.
Who is the course for?
This course is ideal for graduates that are looking to progress into the emerging data analytics market to increase their employment potential. The course is suitable for graduates who have technical or mathematical problem-solving skills. Graduates from disciplines that have not developed these skills will need to be able to demonstrate an aptitude for technical or mathematical problem-solving.
Award and Progression
The Master of Science in Data Analytics is awarded by QQI at level 9 on the National Framework of Qualifications. Students who successfully complete this course may progress to a major award at level 10 on the NFQ.
An honours (level 8) primary degree with a 2.2 award or higher in a cognate discipline. The college operates a Recognition of Prior Experiential Learning (RPEL) scheme meaning applicants who do not meet the normal academic requirements may be considered based on relevant work and other experience.
Students need to be available for classes from 09.00-18.00 Monday to Friday. Class days and times vary.
This course extends over 1 academic year; 2 semesters in total.
Program taught in: