Financial Analytics Dublin Business School

Overview

Key Facts

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.