MSc in Financial Analytics, Dublin Business School

Dublin, Leinster

12 Months

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About this course

The MSc in Financial Analytics is designed to equip students with the skills to analyze complex financial data by integrating internal financial info with external data like social media and demographics. It prepares students to make accurate, fast decisions by understanding core finance principles and utilizing advanced data analytics, machine learning, and visualization tools. The course combines theory and practical skills, making graduates capable of addressing critical business questions in a data-driven environment.

Why this course is highly recommended

The MSc in Financial Analytics is tailored for students from backgrounds like mathematics, economics, computing, or related fields who want to upskill in this emerging and rapidly evolving area. The blend of technical and practical modules prepares students to meet industry demands for financial professionals who can analyze large data sets quickly and accurately, supporting better decision making across the financial sector.

Specialisation

This course focuses on developing proficiency in applying financial analytics to contemporary data-driven financial environments. It emphasizes understanding financial technologies, quantitative modeling, risk management, and financial statement analysis, with an aim to empower students in these specialized areas.

Course fees

Application fees

1st year tuition fees

13.09L

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 in subjects like business, accounting, computing, mathematics, or related fields. Non-cognate discipline graduates with a relevant qualification or at least 3 years' work experience may also be considered, based on RPL procedures. English proficiency at B2+ level is required if applicable.

English language test

DUOLINGO

105

TOEFL

PTE

IELTS

Career prospects

Graduates can explore a variety of roles including financial analyst, corporate finance specialist, treasury analyst, portfolio manager, business analyst, and roles in business intelligence or private equity. The course prepares students for decision-making roles that require high-quality data analysis, supporting strategic planning and financial management in multiple industries.

FAQs

What are the duration options for this course?

The full-time program lasts 1 year, while the part-time option extends over 2 years with classes held two evenings per week.

Can I study this program if I don’t have a background in finance or computing?

Yes, graduates from non-cognate disciplines with relevant professional experience or through RPL procedures can also be considered.