MScMSc in Computing in Big Data Analytics and Artificial Intelligence
Ireland, Donegal
| Study location | Ireland, ATU Letterkenny |
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| Type | Postgraduate, full-time |
| Nominal duration | 1 year (90 ECTS) |
| Study language | English |
| Awards | MSc (MSc in Computing in Big Data Analytics and Artificial Intelligence) |
| Course code | 0068/0172 |
| Tuition fee | €14,000 per year *Subject to approval by ATU Governing Body (Feb 2025) |
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| Application fee | €20 one-time |
| Entry qualification | Undergraduate Honors Degree (or higher) The entry qualification documents are accepted in the following languages: English. This includes a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. If your Documents are not in English, please upload a translated version You must take the original entry qualification documents along with you when you finally go to the university. |
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| Language requirements | English Minimum 6 with no less than 5.5 in any of the components. More Details Here |
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| More information |
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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.
Career opportunities
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.
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