Courses in


Higher Diploma in Business Analytics - SPRINGBOARD+

Discipline: Business

Programme Code: 


Location: Online

NFQ Level: 8

Programme Duration: One year

Mode of Study: Online delivery

Entry Requirements: Level 8 degree in any discipline

Credits: 60

Places: 30


Free to unemployed applicants. €600 for employed applicants 

CAO Round 1 Points: Not applicable

Why Study?

The Higher Diploma in Business Analytics is a graduate conversion programme. This programme is designed to provide the skills necessary to convert into a specific area of skills demand highlighted by both industry, representative bodies and government. In particular, the proposed course will be specifically focused towards the development of skills and expertise in Business Analytics. The skills and knowledge that learners will gain from this course will prepare them to explore and analyze business data using a range of state-of-the-art tools and techniques. It will also generate valuable insights to enable informed decision making to drive innovation and performance while also equipping graduates with the necessary competencies to tackle an array of real-world analytics problems. The course is aimed at Level 8 graduates and will enable students to apply business analysis and business intelligence techniques, tools and practices to their own discipline. This programme stands apart from the application of Data Analytics in other disciplines, where the core focus is geared towards gathering raw data from a variety of sources and performing a technical analysis by way of algorithmic design and complex mathematical modelling. Recognising that learners will already be in possession of a level 8 award, the course seeks to build the student’s skill in several core areas of learning. First, the course provides students with foundational theory in Business Analytics through the examination of core aspects of database design and development, statistics and business analytics. Second, the student’s skills in the capture, processing and analysis of data is expanded through several modules. They will explore how data are generated, stored and accessed as well as how to extract, interpret and present data. The philosophy of the proposed programme is grounded in the notion that on completion the learner will have the necessary skills to undertake analytics in their own discipline. However, the core skills that will be developed by the learner will enable them to also undertake a variety of business analytic roles in industry which requires graduates to have the necessary skills to work with data sets from a diverse range of organisational settings. In this regard, importance is placed on exposing learners to data which deviates from their own domains through the use of case study data which will be used as part of the teaching and learning strategy on a module per module basis. Students will also use industry standard tools and techniques to predict future behaviour and ultimately help businesses gain useful insights into markets and make better decisions. The course also aims to provide students with an awareness of the ethical management of data and the examination of best practices for data governance and data protection. Third, the course aims to provide students with a high-level of familiarity with databases and they will learn how to use powerful techniques to extract information of interest, work with large data sets (Big Data), and create interactive dashboards for visualising data. Tools utilised include leading data visualisation and business intelligence software applications. Such dashboards are critical for informing effective management and the execution of business processes. Case studies presented and examined within the course are taken from leading business, enterprise and government case scenarios and data sets.

NOTE: This course is now closed for applications.

It will open again for applications on in May/ June 2021 if approved under Sprignboard+2021.

The start date if approved will be September 2021 or Jaunary 2022 (to be decided).

Please monitor the and website for updates.

Programme Modules

INFO08023  Business Analytics. 

INFO08007 Database Design and Development. 

COMP08081 Programming and Scripting 

STAT08012 Statistics for Business Analytics. 

INFO08037 Applied Systems Analysis 

COMP08057 Post Relational Databases. 

BUST08025 Decision Theory and Data Visualisation 

COMP08080 Information Systems Development 

BUST08027 Business Intelligence.

INFO08038 Cloud Infrastructure and Enterprise Services 

BUST08026 Professional Practice Project 


Learning Outcomes: 

Have knowledge in the following areas: Design, development and deployment of information systems Data analysis: gathering, cleansing, processing, exploring and modelling. Principles of Statistics: probability, modelling, regression, quantitative techniques.

Have knowledge and understanding of concepts in the design and development of information systems, business analytics and information management in a business context.

Deploy appropriate theory, practices and tools for the specification, design, implementation and evaluation of dataintensive information systems.

Model real world problems from a business analytics perspective and evaluate the quality of resulting models.

Design and construct a business analytics workflow to solve a business problem.

Manage an information / data management project throughout all stages of its lifecycle.  

Specify, design and implement data management information systems.

Identify and select innovative business analysis techniques in a range of real-world contexts and assess their quality considering limitations and trade-offs.

Apply best practice in the fields of information systems design and development and business analytics.

Assess the impact of legal and ethical considerations. 15. Apply diagnostic skills in a range of data-focused contexts.

Communicate technical solutions in writing and orally in a business context.

Locate and evaluate documentation and information through online research. 18. Assimilate new skills and techniques in business analytics and information systems through online learning.

Continually develop both personal and professional development within the fast moving information systems and business analytics disciplines.

Recognise, understand and appreciate the different modalities for reflecting on own learning (self-reflection).

Recommend an appropriate course of action based on results from requirements analysis and data modelling.

Assess the impact of ethical issues and diversity (e.g. bias models) on business analytics.



Essential Information: 

Course Start Date

September 2021 or January 2022 (to be decided) if approved under Springboard+2021


Credits Delivered:

Total credits delivered is 60, of which 35 credits are the Certificate in Business Analytics which may also be offered under Springboard2021+.


Delivery Method:

Fully online lecturers which are recorded and uploaded, plus online discussio groups where lecturers followon from their lectures.


Application Process:

Applications will be made through


The Springboard+ Programme is operated by the Higher Education Authority on behalf of the Department of Education and Skills and is co-funded by the Irish Government and the European Union under the European Structural and Investment Funds Programme 2014-2020.

Contact Us

Peter Butler
Graduate Studies & Professional Development
Galway Mayo Institute of Technology
Dublin Road

Phone  085 805 3691 (Mon-Fri, 9-5)


Springboard+ is co-funded by the Government of Ireland and the European Social Fund as part of the ESF programme for employability, inclusion and learning 2014-2020