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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.

What will you learn?

The globalisation and digitalisation of today's financial markets have led to increased international competition that requires a growing need for candidates with superior quantitative skills, a sound understanding of the industry, and good knowledge of financial theory. Our Master of Science in Quantitative Finance is designed to meet these needs by training highly motivated students on how to apply advanced quantitative and data science tools to pressing financial problems.

The courses will provide you with quantitative and programming skills focusing on numerical analysis, stochastic modelling, and data science. The comparative advantage of this programme is that you will be taught by scholars from one of the top Finance departments in Europe who will train you on how to apply financial theory correctly and responsibly to real-world problems.

The programme focuses on certain areas within finance such as asset and risk management, derivatives pricing, trading and hedging, fixed income, and long -term investing. These areas are crucial for tackling the growing challenges that arise from the sustainability transition, ageing population, and increased uncertainty.

Our Master of Science in Quantitative Finance is a cutting-edge programme that will equip successful candidates with special knowledge and skills that are in high demand in the international financial industry. As such, it will prepare you to pursue a career at the world’s top organisations and create value for our modern societies.

Popular courses covered in this programme

Financial report
Financial report

Deepen your understanding of stochastic processes common in the financial modelling and master stochastic calculus techniques for their analysis.

Numerical questions
Numerical questions

Understand the theoretical foundation and numerical implementation of modern derivatives pricing, with a focus on the Black-Scholes framework.

Stock Market Illustration
Stock Market Illustration

Explore sources of different types of portfolio risk and understand why sizing the amount of risk correctly is perhaps the most important decision in dynamic asset management.

Financial data analysis graph
Financial data analysis graph

Learn advanced numerical techniques widely used in the financial industry, central banks, and academic research.

Why choose this programme?

Engaging learning experiences and quality teaching are something we strive to provide, to help you build a solid skill and competency base, making you relevant for the future of work. In the video below, you will get the perspectives of our students, faculty, and the industry to understand the reasons for choosing to study Master of Science in Quantitative Finance.

Why choose Master of Science in Quantitative Finance?

Trying to decide which master programme is right for you? Take our Master Quiz to find your best match.

Career Possibilities

As a graduate, you will be equipped with the necessary advanced quantitative and data science skills to succeed in the ever more sophisticated financial industry. Below are a few examples of positions our former students have obtained right after graduating:

Fredrik Valand Fusdahl
Fredrik Valand Fusdahl

Associate - Fixed Income North America

Employer: Norges Bank Investment Management
Name: Fredrik Valand Fusdahl
Citizenship: Norway

Per Bjarne Bye
Per Bjarne Bye

PhD in Finance

Institution: Tilburg University
Name: Per Bjarne Bye
Citizenship: Norway

Frida Rosmer Hauge
Frida Rosmer Hauge

Investment Analyst

Employer: Pareto Asset Management 
Name: Frida Rosmer Hauge
Class of 2023

Akan Kadyrbekov
Akan Kadyrbekov

Data Analyst - Macroeconomics and Energy

Employer: Rystad Energy
Name: Akan Kadyrbekov
Citizenship: Kazakhstan 

Jørgen Haakerud
Jørgen Haakerud

Quantitative Analyst

Employer: Norges Bank Investment Management
Name: Jørgen Haakerud
Citizenship: Norway

Profile icon
Profile icon

Structuring Analyst

Employer: Bank of America in London
Name: Adrian Luthi
Class of 2023

Frida Rosmer Hauge Investment Analyst Pareto Asset Management From BI student to Investment Analyst at Pareto
Ligtning over big city

Data Science and Analytics

If you are considering a degree in the field of Data Science and Analytics, learn why you should choose to study at BI Norwegian Business School.

Customise your degree

As a master student at BI, you have several exciting opportunities that will contribute to a varied and interesting student life, at the same time as you build relevant competence and gain an advantage in the job market by tailoring your degree.

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Programme Structure

The academic year at BI is divided into two semester, one in the autumn and one in spring. There are exams at the end of each semester. This programme structure provides an overview of which courses you will be taking and when you will be taking them.

Please be aware that the study plan and courses can be subject to change.

Accelerated Model

Applicants with a master’s level background in finance or other related academic areas have the opportunity to complete the degree MSc in Quantitative Finance at an accelerated pace. The duration and which courses you need to take will be determined when evaluating your application for admission.