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.The opportunities for successful graduates exist in companies in the areas of healthcare, banking, financial services, energy services, manufacturing, retail, transport and communications. Roles typically include becoming data analysts, researchers, information managers, project managers, solutions specialists and systems architects.
| College | Atlantic Technological University (ATU Donegal) |
| Course ID | 193031 |
| Course Location | Letterkenny, Donegal |
| Course Type | Classroom Based |
| Course Qualification | Masters Degree |
| Course Start Date | 1st January 1970 |
| Course Duration | 1/2 years |
| Course Time | Part-time/Full-time |
| Course Fee | 6300 |
| Entry Requirements | Level 8 Honours Degree in Computing, or equivalent, second class honours (2.2), or Higher Diploma in Computing (Conversion Course into Computing). Non computing applicants must have a minimum of 30 ECT credits in Computing or Computing related modules, or computer industry experience. If you do not have an honours degree but have relevant experience you may also be eligible to apply via Recognition of Prior Learning (RPL). Applicants may also attend a one week bridging course where necessary. |
| Career Path | This programme is is suitable for individuals who have a strong interest in data analysis, programming, statistical modelling, and AI techniques, and who want to develop advanced skills in these areas to pursue a career in data science, AI, or related fields. |
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Our Master of Science in Computing in Big Data Analytics is a one year, full-time or two year, part-time programme.
