Master of Science

Quantitative Finance

The finance industry is becoming increasingly quantitative and this master’s programme provides you with the advanced quantitative skills in finance that companies are looking for in candidates to hire today.

Why study Quantitative Finance?

The globalisation of today’s financial markets has led to increased international competition and a growing need for employees with advanced skills. Candidates who combine a deep understanding of financial theory with strong quantitative skills are in high demand. Since companies today have access to large amounts of data, they need employees who can process and analyse financial data to make strategic decisions. The Master of Science in Quantitative Finance will provide you with the skills to assess problems, analyse them through advanced modelling, and make informed decisions. You will learn to use data and technology to better understand complex financial relationships and manage assets, evaluate risk factors, and maximize profitability. This combination of quantitative and analytical skills is easily transferrable to other business disciplines beyond finance, which will make you a valuable candidate for employment across industries.

What will you learn?

The Master of Science in Quantitative Finance programme provides you with both quantitative and programming skills from topics covering numerical analysis, stochastic models, statistics, and econometrics. Along with the knowledge of finance that you gain, you will learn how to apply these advanced tools and be able to analyse complex financial instruments and contracts, analyse varied data sets for information extraction, as well as make forecasts and measure risk. This combination of knowledge and skills is what companies need in order to compete and succeed today.

Among the topics, you will find:

  • Quantitative Risk Management: Learn about the fundamental issues of risk modelling and management in finance.
  • Computational Methods: Gain insight into computational methods for pricing and hedging standard and complex financial instruments.
  • Derivatives: Obtain a thorough understanding of the workings and pricing of derivative securities.

Programme Structure

The MSc in Quantitative Finance programme is a two-year, 120-ECTS-credit programme consisting of 90 course credits and 30 MSc thesis credits.

  • Year 1

    Autumn

    • Derivatives
    • Fundamentals of Quantitative Finance
    • Theory of Financial Markets
    • Corporate Finance
    • Stochastic Calculus for Finance
  • Spring

    • Research Methodology in Finance
    • Computational Methods
    • Investments
    • Quantitative Asset and Risk Management
    • Applied Valuation
  • Year 2

    Autumn

    • Fixed Income
    • Applied Business Ethics
    • Electives*
    • Master Thesis
  • Spring

    • Portfolio Management
    • Master Thesis

*Electives:

  • Internship (6 ECTS)
  • Casual Inference with Big Data (6 ECTS)
  • Predictive Analytics and Machine Learning (6 ECTS)

Customise your degree

Gain an advantage in the job market by tailoring your degree. As a Master of Science in Quantitative Finance student, you can add another dimension to your degree by choosing an internship. Gain relevant work experience and help build your CV.

Internship

Gain practical work experience with a leading company as an integrated part of your degree.

BI Possibilities

Explore the careers of our alumni with a Master of Science degree.

Click on the profiles to learn more!

 

possibilities.bi.edu

Profile with video

Hermina Popa

Director, Credit Suisse

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Andra Vasilescu

Risk Management Analyst, Statoil

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Nathalie Berner Sørhaug

Senior Economist, Norges Bank

Admission Requirements

Admission Process

Practical information

The Master of Science in Quantitative Finance is a new programme in development to begin in August of 2018. Details and descriptions are subject to change.  

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