Postgraduate Diploma in Financial Analytics, Dublin Business School

12 Months

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About this course

This postgraduate diploma focuses on equipping students with tools to interpret complex financial data in a rapidly evolving, data-driven environment. It combines internal financial and operational data with external sources like social media and big data to answer critical business questions efficiently. The program aims to develop graduates' understanding of core finance principles while enabling them to utilize data analytics, machine learning, and visualization tools for better business decision-making, all within an ethical and cyber-aware context.

Why this course is highly recommended

This program is highly relevant for those from mathematics, economics, computing, or technology backgrounds who want to upskill in financial analytics. It addresses the growing need for financial professionals capable of making data-driven decisions quickly and accurately, which is essential in today’s digital finance landscape. Graduates will gain critical thinking, technical expertise, and leadership qualities vital for modern financial roles.

Specialisation

The course specifically targets financial analytics, blending applied finance, quantitative modeling, risk management techniques, and financial statement analysis. It builds technical skills in current and emerging financial technologies and data analytics, aiming to produce graduates proficient in these areas within the global financial environment.

Course fees

Application fees

1st year tuition fees

12.19L

Living cost

Degree requirements

Applicants need a Level 8 primary cognate degree with at least a second-class second-division (2.2) classification from a recognized institution. Suitable disciplines include business, accountancy, computing, information systems, engineering, science, mathematics, statistics, finance, or related fields. Non-cognate degree holders with relevant professional experience or a conversion-style qualification like DBS Higher Diploma in Science in FinTech may also be considered.

English language test

IELTS

TOEFL

PTE

DUOLINGO

105

Want to learn more about the admission process, eligibility criteria, and acceptance rates for international students? Visit the Dublin Business School admission page for complete details.

Career prospects

Graduates can explore roles such as financial analyst, accountant (financial or managerial), corporate finance specialist, treasury analyst, portfolio manager, business analyst, and roles in business intelligence or consulting. The program prepares students to work across a range of industries, supporting decision-making with high-quality data analysis and fostering innovation and leadership in a global financial context.

FAQs

What are the main topics covered in this course?

It covers principles of financial decision making, data analytics and machine learning, predictive financial modeling, financial intelligence and visualization, cybersecurity management, risk management, and behavioral economics.

What is the duration of this program?

The full-time program lasts for 1 year, spread over two semesters of 12 weeks each.