
Overview
Financial analytics arms decision makers with the tools to make sense of an increasingly complex world. By combining internal financial information and operational data with external information such as social media, demographics and big data, financial analytics may address critical business questions with unprecedented ease, speed, and accuracy.
The Postgraduate in Financial Analysis has been designed to meet the growing need for financial professionals with the practical skills required for a rapidly evolving data driven financial function. Upon completion of this programme, graduates will understand the core principles of finance, be equipped to utilise data analytics, machine learning, and visualisation tools, apply the appropriate financial analytic models, and acquire enhanced understanding of business decision making in an ethical and cyber context.
This full-time programme is designed to facilitate learners with a mathematic / economic / computing / technology background who wish to upskill in this new and emerging area of Financial Analytics.
Aims of the Programme
The overall aim of the programme is to produce graduates with strong proficiencies in the application of financial analytics in a contemporary and evolving data driven environment, while also enhancing practical and technical skills.
The Postgraduate Diploma in Financial Analytics programme specific aims are to:
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Enable learners to develop in-depth knowledge and analytical skills in current and developing financial technologies.
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Provide learners with the ability to think critically and make informed, value creating, decisions based on complex and voluminous data.
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Develop learners’ core competencies and technical skills in the fields of applied finance, quantitative modelling risk management techniques and financial statement analysis.
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Enhance the learner’s ability to operate effectively in cross-cultural settings, understand the nature and complexities of globalisation with an ongoing commitment to the importance of business ethics in a global financial business environment.
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Foster learners’ leadership characteristics which will enable graduates to lead teams and to achieve organisational goals.
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Create an innovative and entrepreneurial mind-set that will enable learners to solve real problems in an evolving, technologically driven work environment.
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Enable learners to identify, develop and apply detailed analytical, creative, problem solving and research skills.
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Provide learners with a comprehensive platform for career development, innovation and further study.
Entry Requirements
The minimum entry requirements for the Postgraduate Diploma in Financial Analytics are:
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A Level 8 primary cognate degree with a minimum second-class second-division (2.2) classification from a recognised third level institution. Cognate subjects include business, accountancy, computing, information systems, engineering, general science, mathematics, statistics, data analytics, finance or related discipline.
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Graduates of any non-cognate discipline and hold a qualification in a conversion-style programme such as the DBS Higher Diploma in Science in FinTech
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For applicants whose first language is not English and who have not previously undertaken a degree taught through English, evidence must be provided of proficiency in English language equivalent to B2+ or above on the Common European Framework of Reference for Languages (CEFRL). This must be evidenced through a recognised English Language test such as IELTS, Cambridge Certificate, PTE or DBS English Assessment. Test certificates should be dated within the last two years to be considered valid.
Recognition of Prior Learning
Applicants who do not have a Level 8 qualification in a cognate area and who have at least 3 years’ work experience may also be considered through the college’s normal RPL procedures. Relevant professional experience may be taken into account and individuals will be assessed on a case-by-case basis through DBS RPL procedures.
*Eligibility and entry requirements apply.
Course Content
The Postgraduate Diploma in Financial Analytics has the following content:
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Principles of Financial Decision Making
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Data Analytics & Machine Learning for Finance
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Predictive Financial Modelling
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Applied Financial Analytics
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Financial Intelligence & Data Visualisation
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Information & Cybersecurity Management
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Financial Risk Management
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Behavioural Economics & Finance
Assessment Methods
The programme teaching and learning strategy is designed to allow the learner to progress through the theoretical and practical concepts in an orderly and logical fashion. The assessment strategy is planned to ensure practical application of the core principles of the module and facilitates feedback, which underpins the overall learning experience.
The overall assessment strategy of the programme is a mixture of practical individual and/or group - project bases - continuous assessment, and where appropriate a final examination.
The programme emphasises the development and evolution of the skills and attributes relevant to the contemporary workplace, and the programme’s assessment strategy reflects this clear objective.

Structure
Full-time: 1 year (2 semesters of 12 weeks each)
The Full Time Postgraduate Diploma in Science in Financial Analytics will run over one academic year from Monday to Friday. Calendars will be available in due course. Please note day time attendance is required on this programme.

Career Opportunities
The Chartered Global Management Accountant’s (2019) “Re-inventing finance for a digital world”; found that financial analytics can enable better decision making across a business by providing accurate, timely and high quality data analysis which supports improved planning and forecasting capabilities.
Graduates from the Postgraduate Diploma in Financial Analytics programme will have the potential to work in a wide range of industries, such as:
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Accountants - Financial or Managerial
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Financial Analyst
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Corporate Finance
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Treasury Operations/Analyst
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Portfolio Manager
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Business Analyst
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Business Intelligence
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Consultant
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Private Equity Analyst (VC)
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Entrepreneur and/or Innovator

Eligibility
For information on eligibility and funding eligibility requirements, visit the Springboard+ website
Application Procedures
The application procedures are in 2 stages. First, DBS will contact you in relation to collecting your academic documents to ensure you meet the minimum entry requirements of the programme you have applied for. Then, closer to course commencement, we will contact you again in relation to information on the uploading of the required documentation in order to ensure you meet the Springboard+ Eligibility Criteria. To find out what documents you are required to upload, please check the Guidance for Applicants on Verifying Eligibility document.
All QQI accredited programmes of education and training of 3 months or longer duration offered by Dublin Business School (DBS) are covered by arrangements under section 65 (4) (b) of the Qualifications and Quality Assurance (Education and Training) Act 2012 whereby in the event that DBS ceases to provide the programme, for any reason, after learners have started on that programme, Kaplan Inc., as guarantor, will refund the moneys most recently paid by or for the learner. More details are included in the terms and conditions of learner admission to DBS and on programme handbooks provided at induction.
Next Steps
Apply online via the Springboard portal.
Corporate Services
Did you know? DBS now can meet with you and your company to discuss the Springboard+ Government funded programmes, to see if it could work as a learning & development solution for your organisation. This is ideal for any size organisation in any industry based in Dublin and the surrounding counties that may want to invest in employees' professional development.
For more information on this new service or to arrange a meeting, please contact our Corporate Services Team on [email protected] or by telephone 01 417 7500.
