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Finance and Accounting● OpenMastersPreview

MSc in Financial Analytics

A data-driven master’s programme equipping professionals with advanced financial analytics skills for modern financial roles.

Best for:Best for professionals or graduates with a background in business, accounting, computing, or related fields seeking to specialise in financial analytics and data-driven financial decision-making.

Dublin Business School · Dublin, Ireland
More professors at Dublin Business School
Financial data analysisData-driven financial decision-makingQuantitative financeFinancial modellingStatistical analysis in finance
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
1 year (full-time) or 2 years (part-time)
Start date
Flexible (depends on intake)
1 year (full-time) or 2 years (part-time)
Location
Dublin
Ireland

Overview

The Master of Science in Financial Analytics at Dublin Business School is designed to address the growing demand for financial professionals skilled in data-driven decision-making. This programme bridges business, accounting, and technology, preparing graduates to excel in roles requiring analytical expertise within rapidly evolving financial environments. Students engage in hybrid learning, combining in-class and online sessions, and gain practical skills in data analytics, financial modelling, and statistical analysis. The curriculum is tailored for both recent graduates and professionals seeking to transition into data-centric financial careers, with flexible study options available.

Financial AnalyticsData-driven financeHybrid learningFinancial modellingStatistical analysisBusiness analyticsFinancial technology (FinTech)Data analytics

What you'll do

  • Develop advanced analytical skills to interpret financial data and drive evidence-based decision-making.
  • Apply statistical and computational techniques to solve complex financial problems.
  • Engage in hybrid learning, combining in-class and online sessions to balance flexibility and in-depth study.
  • Collaborate on case studies and projects that simulate real-world financial scenarios.
  • Utilise data analytics tools and software to extract insights from financial datasets.
  • Develop financial models and forecasts to support strategic planning and risk assessment.

Requirements

Degree required: A Level 8 primary degree (equivalent to a bachelor’s) in a cognate discipline such as business, accountancy, computing, information systems, engineering, general science, mathematics, statistics, data analytics, or a related field with a minimum second-class second-division (2.2) classification. Alternatively, a conversion-style programme qualification such as the DBS Higher Diploma in Science in FinTech.

Degree offered: MSc in Financial Analytics

Language: English proficiency equivalent to B2+ or above on the Common European Framework of Reference for Languages (CEFRL), demonstrated through recognised tests such as IELTS, Cambridge Certificate, PTE, or DBS English Assessment (test certificates must be dated within the last two years).

Instruction: English

Required skills
  • Proficiency in statistical analysis and data interpretation
  • Basic knowledge of financial modelling and forecasting
  • Familiarity with data analytics tools and software
  • Strong analytical and problem-solving skills
  • Ability to work in a hybrid learning environment
Nice to have
Experience with financial data analysis software (e.g., R, Python, SQL)Background in quantitative finance or related fieldsProfessional experience in finance or data analytics
Eligibility
  • Applicants whose first language is not English must provide proof of English proficiency.
  • Applicants without a cognate degree but with at least 3 years of relevant work experience may be considered through Recognition of Prior Learning (RPL) procedures.
  • No specific age or nationality restrictions mentioned.

Funding & terms

Type
Unknown
Amount
—
Duration
1 year (full-time) or 2 years (part-time)
Programme
—

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
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Teaching language
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Taught / research mode
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Study mode
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Campus
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Prerequisites
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Application instructions
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Tuition
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Funding
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How to apply

Applicants must complete and submit an application form available on the Dublin Business School website. The process involves providing academic transcripts, proof of English proficiency (if applicable), and any relevant professional experience documentation. The application form can be accessed directly from the provided URL.

Documents required
  • CV or resume
  • Application form
  • Academic transcripts (Level 8 degree or equivalent)
  • Proof of English proficiency (if applicable)
  • Certificates of relevant professional experience (if applicable)
  • Reference letters (if required)
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