CareerFit CourseFinderComputing in Big Data Analytics & Artificial Intelligence - Letterkenny
- Course code
- LY_IDAAI_M
- QQI level
- Level 9
- NFQ type
- Level 9 NFQ
- Duration
- 1 year full-time, 2 years part-time on-campus delivery. Study Hours Students can expect to allow between 10 and 20 hours for study per week. On-Campus Attendance: Full-time on-campus students must attend on-campus lectures. Part-time online students have no on-campus attendance requirement.
- Attendance
- Full time
- CAO points
- —
Course summary
Our Master of Science in Computing in Big Data Analytics and Artificial Intelligence is a one year, full-time or two year, part-time programme. It focuses on the processes involved in examining and interpreting large amounts of data of a variety of types to uncover hidden patterns, unknown correlations and other useful information and then enabling computer systems to make independent decisions.
From banking and financial services to retail and healthcare the opportunities in big data analytics and artificial intelligence are expanding all the time, and this course provides you with excellent qualifications to make the most of the ever increasing opportunities.
After all, your skills can provide competitive advantage for businesses including more effective marketing and increased revenue which is why more and more companies have moved into the field, harnessing talents such as yours to exploit the huge volumes of data now available and the ability of computers to utilise that data to make informed decisions.