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Business Analytics / Anailísíocht Ghnó


What is... Business Analytics?

“Business analytics” is about the conversion of business data into valuable information through the use of statistical techniques and advanced software. Combining such analysis with intuition can provide insights to businesses and public sector organisations for the achievement of their respective objectives.

“Big Data” refers to the storage and analysis of datasets that are so large and complex that they become difficult to process through standard database management tools. Big Data is associated with the massive amounts of data that are now being generated in business and in other fields, often in real time, through for example: information sensing mobile devices, radio frequency identification readers and wireless sensor networks.

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?

This programme provides a strong foundation in empirical Business Analytics grounded in theory and applied in practice. The aim of the programme is to produce a professional capable of providing the business analytics expertise required by organisations to strengthen their strategic decision making processes and to produce a graduate with interpersonal and leadership qualities, underpinned by sound technical and business knowledge by using a range of learning approaches throughout the programme.

Technical skills include a high level of proficiency in Software Development & Programming, Database Systems, Quantitative and Statistical Analysis and Business Intelligence. Communication Skills, Project Management and Work Placement all enhance the individual’s personal development, while Sales/Marketing, Strategic Information Systems and Principles of Management provide a framework for workplace effectiveness.


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.

Module Listing

Year 1

  • Statistics
  • Introduction to Software Development 
  • Quantitative Methods
  • Principles of Management
  • Technology Fundamentals
  • Principles of Marketing
  • Linear Algebra
  • Communications and Teamwork
  • Database Systems
  • Supply Chain Management

Year 2

  • Simulation for Business Analytics
  • Time Series Analysis
  • Martketing Research
  • Algorithims and Data Structures
  • Enterprise Database Systems
  • Project Management
  • Big Data Concepts
  • Dynamic Programming Languages 

Year 3

  • NoSQL Database Systems
  • Intelligent Systems
  • Statistical Programming
  • Business Decision Making
  • Business Intelligence
  • Business Modelling
  • Internship (Industry Placement)

Year 4

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

School of Management

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


School Office

T: 01 402 3031