Institution / Letterkenny Institute of Technology
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Computing - Big Data Analytics

Is this the course for you?
Big Data Analytics is the process of examining large amounts of data of a variety of types (Big Data) to uncover hidden patterns, unknown correlations and other useful information. Such information can provide competitive advantages over rival organisations and result in business benefits, such as more effective marketing and increased revenue.

More and more companies have moved into this field to exploit the huge volumes of data being captured by their IT systems. From banking and financial services to retail and health care and life sciences, the opportunities in big data analytics are expanding dramatically and this course provides learners with an excellent chance to enter the world of ‘Big Data’.

Entry requirements

Minimum entry requirements
Level 8 Honours Degree in Computing, or equivalent, second class honours (2.2). Applicants must have a minimum of 30 credits in Computing or Computing related modules.

If you don’t 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 and study the following three modules: Database Management, Mathematics and Computer Systems.


1 year, full-time
2 years, part-time

Careers or further progression

Career opportunities
Successful graduates find themselves working in the following sectors:
• Companies running large database systems
• The payment card industry and financial services companies

Graduate careers typically include:
• Data Storage Manager
• Data Analyst
• Data Scientist

Further enquiries

Thomas Dowling, Head of Department of Computing
E- Mail:
Telephone: (074) 918 6304

Subjects taught

Semester 1
Business Intelligence (M)
Machine Learning (M)

Semester 2
Mathematics for Analytics (M)
Big Data Analytics (M)

Semester 3
Big Data Architecture (M)
Data Science Project (M)

Semester 4
Dissertation (M)

(M) = Mandatory

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