Program Overview

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Master of Science (MSc.) in Financial Analytics

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 Master of Science (MSc) 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.

Both full time and part time programme options are designed to facilitate learners with a Mathematic/Economic/computing/technology background who wish to upskill in this new and emerging area of Financial Analytics. Students can opt to take the theory and practical modules only and not complete the dissertation.

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.

Delivery

This programme is taught on a hybrid basis. This means learners are timetabled either in-class or online, in a mix of online and in-class days.

Entry Requirements

The minimum entry requirements for the Master of Science (MSc.) in Financial Analytics are:

• 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). 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.

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.

Course Content

The Master of Science (MSc) in Financial Analytics has the following content:

• Stage One:
  • Principles of Financial Decision Making
  • Data Analytics & Machine Learning for Finance
  • Predictive Financial Modelling
  • Applied Financial Analytics
  • Financial Intelligence & Data Visualisation
  • Information & Cybersecurity Management
  • Financial Risk Management
  • Behavioural Economics & Finance
  • Innovation in Financial Technology
• Stage Two:
  • Applied Research Methods
  • Applied Research Project

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

This programme is offered 1 year full-time (2 semesters)

Part time, this programme is offered 2 years; two evenings per week (4 semesters)

The programme is structure as seven 5 ECTS and three 10 ECTS taught modules, and a 25 ECTS Applied Research Project.

This programme is taught on a hybrid basis. This means learners are timetabled either in-class or online, in a mix of online and in-class days.

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 Master of Science (MSc) in Financial Analytics programme will have the potential to work in a wide range of industries, such as:

• Accountants - Financial or Managerial
• Financial Analyst
• Corporate Finance
• Treasury Operations/Analyst
• Portfolio Manager
• Business Analyst
• Business Intelligence
• Consultant
• Private Equity Analyst (VC)
• Entrepreneur and/or Innovator

Fees

The course fees for the next academic year are €9,195 full-time, and €5,600 part time per annum for EU students.

International Fees

EU Fees

You can also contact our admissions team who would be happy to discuss the options available for you.

Please note also that there is tax relief for Irish income tax payers at the standard rate of 20% on all fees exceeding €1,000 and up to €7,000.

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 (conditions) and on programme handbooks provided at induction.

Awarding Body

Quality & Qualifications Ireland (QQI)

Award

Masters Degree

NFQ Level

Level 9

Award Title

Master of Science (MSc.) in Financial Analytics

Award Type

Major

Duration

• Full-time: 1 Year
• Part-time: 2 Years

Next Intake

September 2025

Categories

• Accounting & Finance
• Postgraduate Programmes
• Part-Time
• International
• Information Technology
• Full-Time
• 9