Business - Finance and Business Analytics - Waterford
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.
Data Modelling and Analytics
Statistics for Data Analytics
Programming for Data Science
Contemporary Issues in Business
IS Project Management and Analytics
Trading the Financial Markets
Financial Regulation and Compliance Management
Corporate Financial Analysis
Distributed Ledger Technologies and Block chain
Financial Data Analysis Project
The current minimum entry requirements for students to be accepted on the Graduate Diploma 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.
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 documentation in place.
Recognition of Prior Learning
Where candidates do not currently 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.
Download SETU Waterford Springboard RPL Form
Please submit your completed RPL application form to:
Katie Scallan - firstname.lastname@example.org
Margo O'Dowd - MMODOWD@wit.ie
English Language Competency
Applicants whose first language is not English must submit documentary evidence of competency in English. Please see Click Here for SETU Waterford’s English Language Requirements.
if you don't already have english language competency certification you will need to obtain such certification - now available fully online from providers such as Duolingo.
NEXT INTAKE September 2024
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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.