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Business Analytics / Anailísíocht Ghnó


What is... Business Analytics?

Big Data is associated with the massive amounts of data being generated and refers to the storage and analysis of this data. Business Analytics is about the conversion of this data into valuable business information using advanced software and statistics.

Scholarship Opportunities

First year students enrolling on this programme who have obtained 500 points or more in their Leaving Certificate will be awarded a first year entrance scholarship of €1,000 in recognition of their outstanding performance in the Leaving Certificate Examination.

What are my... Career opportunities?

In 2014 the Expert Group on Future Skills Needs (EGFSN) published 2 reports “Assessing the Demand for Big data and Analytics Skills, 2013-2020” and “An Assessment of the Current and Planned Domestic Supply of Big Data / Data Analytics Skills in Ireland”. They predicted that 21,000 potential job vacancies could arise from expansion and replacement demand up to 2020. This gross figure was further divided into 3,630 roles which they describe as ‘deep analytical roles’, and 17,470 ‘big data savvy’ roles. This demand is in addition to the 8,780 support roles previously identified in their 2013 report “Addressing Future Demand for High-Level ICT Skills”.

It is estimated that data collected and generated by companies and governments is growing by approximately 40% per year. Global companies that leverage this data smartly have created significant value; estimates suggest c.4% higher productivity, c.6% higher profitability, and up to 50% greater market share. It is also estimated that within the European public sector, there is $250 billion annual value in correctly applying new data technologies to government functions. In the US alone, it is estimated that there will be unmet demand in 5 to 10 years of 140,000 – 190,000 analysts and 1.5 million data-savvy managers.

What other options do I have after completion?

Students who acquire the appropriate level can access a range of postgraduate programmes in DIT and elsewhere.

Learning Outcomes: What will I study?

Business Analytics covers software, database systems, statistical techniques combined with business and management  to  give  students  all  of  the  relevant  skills to have a successful career focused on data analytics in business


Work placement is an integral part of the programme. All students are encouraged to participate in a work placement in year 3 of the programme.

Is there an Advanced Entry Option?

Yes. An application to any year after Year 1 is called Advanced Entry.

  • All applications are made through CAO and not directly to us here in TU Dublin. Click here to apply.
  • Closing dates for application vary. Most programmes will be open until 30th June but many programmes accept late applications.
  • Contact the School directly using details below to ask if a late application will be considered.

Module Listing

Year One

Statistics l Introduction to OO Programming l Quantitative Methods Principles of Management l Technolo Fundamentals l Principles of Marketin l Linear Algebra l Communications & Teamwork l Database Systems l Supply Chain Management 

Year Two

Simulation for Business Analytics l Ti Series Analysis l Marketing Research l Algorithms & Data Structures Enterprise Database Systems l Project Management l Big Data Concepts

Year Three

NoSQL Database Systems l Dynamic Programming Languages (Python) l Intelligent Systems l Statistical Programming l Business Decision Making l Business Intelligence l Work Placement

Year Four

Intelligent Systems l Spatial Analysis l Software Development for Data Acquisition l Development Frameworks for Big Data l Strategic Information Systems l Retail/Supply Chain Analytics l Marketing Analytics l Healthcare Analytics l Final Year Project 

Are there study abroad options?

Students are encouraged to take one semester abroad in year 3 as part of DIT’s extensive international exchange programme.

Further Information

T: 01 402 7106 (Dr Hugh O'Donnell, Head of Dept)


T: 01 402 3031 (School Office)