Computing in Big Data Analytics

Master of Science

Sonraí an Chúrsa

Course Code	LY_IDATA_M
Céim	9
Fad ama	1/2 years
Creidmheasanna	90
Modh Seachadta	On-campus
Suímh campais	Donegal – Letterkenny
Modh Seachadta	Lánaimseartha, Páirtaimseartha

Apply Now Iarratas a dhéanamh

Apply Now Iarratas a dhéanamh

Forbhreathnú Cúrsa

Our Master of Science in Computing in Big Data Analytics 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.

From banking and financial services to retail and healthcare, as well as life sciences, the opportunities in big data analytics 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.

The opportunities for successful graduates exist in companies running large database systems, as well as the payment card industry and financial services. Roles typically include becoming a data storage manager, data analyst or data scientist.

Uaireanta Staidéir Molta in aghaidh na seachtaine

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

Scrúdú agus Measúnú

The majority of modules are assessed via 100% continuous assessment. One module is assessed via 50% coursework and 50% final exam.
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.

Riachtanas Tinrimh ar an gCampas

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

Dul chun cinn

Follow up programmes elsewhere include Level 10 studies (Doctoral) at ATU or other institutions and universities at home and abroad.

Download a prospectus

Réamheolaire Iarchéime Online, Flexible and Professional Development Prospectus

Riachtanais Iontrála

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.

Táillí

Total Fees EU: €6300

Total Fees Non-EU: €14000

Tuilleadh eolais faoi tháillí

Gairmeacha

Graduate careers typically include roles such as Business Intelligence Analyst, Data Analyst, Data Analytics Consultant, Data Engineer, Data Project Manager, Data Scientist, Logistics Specialist, Marketing Analyst, and Operations Analyst.

The main employers are companies in business and computing, finance companies of all types, healthcare providers, logistics, and retail sectors.

Further Information

Cé Ba Chóir Iarratas a Dhéanamh?

This programme is suitable for individuals who have a strong interest in data analysis, programming, and statistical modelling, and who want to develop advanced skills in these areas to pursue a career in data science or related fields.