Skip to main content

Postgraduate Diploma in Business in Finance and Business Analytics will be taught over one academic year and aims to enable participants to:

  • Develop quantitative, analytical and ICT skills to carry out data and financial analysis tasks.
  • Communicate and interpret the output of their analysis.
  • Exhibit curiosity, in a critical manner, in evaluating analysis undertaken by themselves or others.
  • Develop their careers within their current employment or as an initial stepping stone to a career as a financial analyst/data analyst.

The course offers students the opportunity to develop their understanding of the theories underpinning core phenomena in business analysis while allowing students to work with ‘live’ data, facilitated through the availability of the newly developed Finance Lab. 

The course will be delivered in-person and on-campus in concentrated blocks. Students are required to attend lecturers on campus over 3 days, complemented with independent self-learning. The programme will be delivered using a mix of lectures and practical’s (IT lab based). Practice-based training will be central to this with candidates receiving specialised training in PL-SQL, Real Stats, Eikon, Stocktrak and Qlikviews. There is also an opportunity to be part of a broader community of graduate business students. Some of the modules may be shared with other graduate courses.

Human Capital Initiative Funding

The course is highly-subsidised for participant's through the Government's Human Capital Initiative (HCI) Pillar 1 programme which means that employed candidates pay just €575 in fees for the course while unemployed and 'returners'  will have the full cost of the course covered. 


Therefore HCI Pillar 1 eligibility is similar to eligibility for Springboard but with some differences such as there is no 1-year ‘cooling-off period’ for recent graduates of a full-time level 8 degree programme before they can apply for a funded place as there is with Springboard. 

The following modules will be delivered over the lifetime of the course:

Semester 1

Semester 2

Semester 3

Data Modelling and Analytics

Business Intelligence Fundamentals


Statistics for Data Analytics

Trading the Financial Markets


Programming for Data Science

Financial Regulation and Compliance Management

Financial Data Analysis Project

Contemporary Issues in Business

Corporate Financial Analysis


IS Project Management and Analytics

Distributed Ledger Technologies and Blockchain


Year 1

Module Name Semester

M is a mandatory subject - E is an elective subject

Year 2

Module Name Semester

M is a mandatory subject - E is an elective subject

Year 3

Module Name Semester

M is a mandatory subject - E is an elective subject

Year 4

Module Name Semester

M is a mandatory subject - E is an elective subject

The current minimum entry requirements for students to be accepted on the Postgraduate Diploma in Business in Finance and Business Analytics are as follows:

  • Applicants must hold at least a Level 8 qualification in business/finance/economics/IT.
  • Students holding a non-business/IT honours degree of the type listed above are eligible to apply. However, this does not guarantee entry to the programme, applicants may be considered for interview/advising and short listing. Candidates that can display strong numeracy skills will be considered more favourably.

Documentation Needed

  • Images of all of your academic certificates and transcripts. [ simply take a photo of the documents with your phone ]
  • These will demonstrate that your either (1) meet the academic entry requirements, or (2) they will support an application made on a Recognition of Prior Learning (RPL) basis.
  • You will upload the documents to the Springboard website as part of the application process. Where you wish to have multiple documents considered you will need to merge them into a single file.

No offers of Springboard places can or will be made without the documentaion in place.

Recognition of Prior Learning

Where candidates do not currrently meet the formal academic entry requirements (set out on each course information page) they may be able to advance their application using the Recognition of Prior Learning (RPL) mechanism. RPL allows candidates to make a case that they do meet entry requirements through a combination of formal certified learning and learning through experience (most typically work experience). RPL applications must be made by filling out (please type) the Springboard RPL form and submitting it along with supporting documents such as academic certificates and transcripts etc.

Please submit your completed RPL application form to:

English Language Competency

Applicants whose first language is not English must submit documentary evidence of competency in English.

The courses provides students with the opportunity to professionally develop. On completion of the course students will exhibit quantitative, analytical and ICT skills to carry out data and financial analysis tasks in their current employment or perhaps provide students with the stepping stone for a career in financial/data analysis.


Course Leaders

Ms Katie Scallan

Lecturer in Accounting and Finance -

Email: [email protected]


Ms Margo O Dowd

School Administrator, School of Health Sciences -

Call: +35351302036

Email: [email protected]