Computing in Big Data Analytics and Artificial Intelligence

Master of Science

Course Details

Course Code	LY_IDAAI_M
Level	9
Duration	1/2 years
Credits	90
Method of Delivery	On-campus
Campus Locations	Donegal – Letterkenny
Mode of Delivery	Full Time, Part Time

How to Apply

Course Overview

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.

Recommended Study Hours per week

Students can expect to allow between 10 and 20 hours for study per week.

Examination and Assessment

Note: Where assessment on the programme involves examinations, these are held on campus or at another exam venue in the Republic of Ireland. There are typically two exam periods: January and May. Times scheduled for examinations (face to face / online exams ) are in GMT.

On-Campus Attendance Requirement

Note: Check programme Examination and Assessment requirements, as they may involve examinations to be taken on campus.

Progression

Level 10 studies (Doctoral) at ATU or other institutions and universities at home and abroad.

Download a prospectus

Postgraduate Prospectus Online, Flexible & Professional Development Prospectus

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.

Fees

Total Fees EU: €6300

Total Fees Non-EU: €14000

Further information on fees

Careers

Graduate careers typically include roles such as AI Data Analyst, AI Engineer, Business Intelligence Analyst, Computer Vision Engineer, Data Analyst, Data Analytics Consultant, Data Engineer, Data Scientist, and Machine Learning Engineer.

The main employers are companies in business and computing, construction, finance, healthcare providers, logistics, retail, and supply chain management.

Further Information

Who Should Apply?

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.