Master of Science (MSc.) in Financial Analytics

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 1 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Next Intake TBA

Course Overview

The Master of Science (MSc) in Financial Analytics at Dublin Business School is engineered for ambitious individuals seeking to master the intersection of finance and data science. In today's financial landscape, the ability to interpret vast datasets, leverage machine learning, and employ predictive modelling is paramount for informed decision-making. This programme is designed for those with a background in mathematics, economics, computing, or technology who aspire to upskill and lead in the rapidly evolving, data-driven financial sector. You will gain a comprehensive understanding of financial principles while developing practical expertise in cutting-edge analytical tools.

This full-time, on-campus MSc is delivered over one year, immersing you in core concepts such as data analytics, machine learning for finance, financial risk management, and financial intelligence through data visualisation. You will engage with applied research methods and potentially undertake an applied research project, honing your ability to tackle complex financial challenges. The curriculum is structured to provide both theoretical depth and practical application, preparing you for roles in financial analysis, data science, and quantitative finance. You will graduate with the advanced analytical capabilities sought by leading financial institutions and technology firms.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This MSc program in Financial Analytics provides a comprehensive foundation in financial decision-making, data analytics, and machine learning applied to finance. Students will develop skills in predictive modeling, financial intelligence, data visualization, and cybersecurity management. The curriculum also covers financial risk management, behavioral economics, and financial technology innovation, culminating in applied research methods and a significant research project.

1 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

2 Stage Two

Applied Research Methods
Applied Research Project

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 18,321.00
Total Program Cost Estimated total tuition
USD 18,321.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 349.00 - USD 849.00
Food & Groceries USD 3,930.00 - USD 5,613.00
Transport USD 842.00 - USD 1,965.00
Utilities & Bills USD 1,404.00 - USD 2,105.00
Estimated Total USD 6,176.00 - USD 9,683.00

Living cost estimates are based on Aungier Street Campus.

Outcomes & Employability

What happens after you graduate

78%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Accounting & AuditingAdvertising TechnologyBrokerage & Trading & SecuritiesCreative & ContentCustomer Experience & SupportPerformance & Growth MarketingQuality Assurance & TestingSoftware Development & EngineeringSupply Chain & Freight ManagementWireless & Mobile Communications

Top Employers Hiring for this course

AIB

Accenture

Amazon

Amazon Web Services

Bank of Ireland

Citi

Covalen

EY

Why Study Master of Science (MSc.) in Financial Analytics at Dublin Business School

What makes this program stand out

Top 20 in UK For Computer Science

Exeter's Computer Science department consistently ranks among the top 20 in the UK for both teaching quality and research output.

Fast Offers Quick turnaround

Exeter typically responds to applications within 2-3 weeks, giving you clarity on your options quickly.

Flexible Intakes September start

Primary intake in September with January start available for some pathways through the INTO foundation program.

Accredited Industry recognized

Accredited by BCS, The Chartered Institute for IT, meeting requirements for Chartered IT Professional (CITP) status.

Life at Dublin Business School in Ireland

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about Master of Science (MSc.) in Financial Analytics at Dublin Business School

Can I work while studying?

International students can work up to 20 hours per week during term time and up to 40 hours during breaks without a separate work permit.

What English language score do I need for this course?

For English language requirements, you can either achieve a Duolingo overall score of 105 or an IELTS overall score of 6.0, with specific minimums in other areas.

What jobs can I get after studying this course?

Graduates can pursue careers as Financial Analysts, Data Analysts, Risk Managers, Business Analysts, and Financial Consultants.

What will I actually study in this course?

This program combines core financial principles with data analytics, machine learning, and visualization tools. It prepares graduates to tackle complex business questions with a strong ethical framework.

When can I start — what are the intake months?

The intake month for the Master of Science (MSc) in Financial Analytics is September. Ensure you prepare your application in advance to meet the deadlines.
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