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.
Upon completion of this Financial Analytics programme at Dublin Business School, 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.
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 Master of Science (MSc) in Financial Analytics programme specific aims are to:
- Enable learners to develop in-depth knowledge and analytical skills in current and developing financial technologies.
- Provide learners with the ability to think critically and make informed, value creating, decisions based on complex and voluminous data.
- Develop learners’ core competencies and technical skills in the fields of applied finance, quantitative modelling risk management techniques and financial statement analysis.
- 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.
- Foster learners’ leadership characteristics which will enable graduates to lead teams and to achieve organisational goals.
- Create an innovative and entrepreneurial mind-set that will enable learners to solve real problems in an evolving, technologically driven work environment.
- Enable learners to identify, develop and apply detailed analytical, creative, problem solving and research skills.
- Provide learners with a comprehensive platform for career development, innovation and further study.
Get more detailsVisit official programme website
- Principles of Financial Decision Making
- Applied Research Methods
- Data Analytics & Machine Learning for Finance
- Applied Research Project
- Predictive Financial Modelling
- Applied Financial Analytics
- Financial Intelligence & Data Visualisation
- Information & Cybersecurity Management
- Financial Risk Management
- Behavioural Economics & Finance
- 12 months
- 24 months
Start dates & application deadlines
- StartingApplication deadline not specified.
DisciplinesFinance Financial Mathematics Business Intelligence & Analytics View 51 other Masters in Finance in Ireland
- 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 or related discipline.
- 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.
- 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).
International13500 EUR/yearTuition FeeBased on the tuition of 13500 EUR per year during 12 months.
EU/EEA8900 EUR/yearTuition FeeBased on the tuition of 8900 EUR per year during 12 months.
Living costs for Dublin
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
Apply and win up to €10000 to cover your tuition fees.
Updated in the last 3 months
Check the official programme website for potential updates.