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.
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:
A minimum of a level 8 (honours degree) qualification (2.2 or higher) on the National Qualifications Framework. Applicants may be from a cognate/STEM background. Standard applicants for the programme are those holders of computing or numerate degrees.
All applicants for the programme must provide evidence that they have prior programming experience (e.g. via academic transcripts or recognised certification).
You need to complete credit hours to successfully obtain this degree. Please check detail of study units at https://www.ncirl.ie/Courses/NCI-Course-Details/course/MSCDAD
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.