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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.

  • English
  • Full-time
  • Oslo
  • Start date: August 2022
Apply now

What will you learn?

The globalisation of today’s financial markets has led to increased international competition and a growing need for candidates who combine a deep understanding of financial theory with strong quantitative skills. 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.

The courses will provide you with both quantitative and programming skills from topics covering numerical analysis, stochastic models, statistics, and econometrics. 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 transferable to other business disciplines beyond finance, which will make you a valuable candidate for employment across industries.

Popular courses covered in this programme

Corporate Finance image

Corporate Finance

Gain insight into advanced topics in corporate finance, such as financial management and valuation, optimal corporate policy and investment and payout policy.

Data Science for Finance image

Data Science for Finance

Learn the fundamental statistical tools used by quantitative analysts with a focus on forecasting financial series.

Investments image

Investments

Gain insight into the international dimension of the investment process and sustainable short-term and long-term investment strategies.

Predictive Analytics with Machine Learning image

Predictive Analytics with Machine Learning

Understand how to use machine learning techniques and tools for predictive analytics.

1 February

Master Day 2022

Join us online to learn more about all the master’s programmes available to study at BI.

CAREER POSSIBILITIES

A Master of Science in Quantitative Finance provides you with a broad and attractive degree which is easily transferable to other business disciplines beyond Finance. This combination of knowledge and skills is what companies need in order to compete and succeed today. Graduates will qualify for a range of positions in different areas across:

  • Equity Research
  • Finance Analyst
  • Market Research Consultant
  • Jr. Recruiter & Program Coordinator

Baran Yurtkuran Associate Consultant Prokura A quantitative analyst developing soft skills

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.

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.

1. Year

  • 60 credits (ECTS)

2. Year

  • 60 credits (ECTS)

Autumn

Spring

Autumn

  • Exchange (24-30 ECTS)

    - ECTS

Spring

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

Admission Requirements


Priority application deadline for Master of Science: 1 March
After 1 March, applications are accepted on a rolling basis.

+1 Model

Do you already have a related master’s degree? If so, you may be eligible to complete a MSc in Quantitative Finance degree in just one year. Some applicants may need to take additional courses, which will be determined while evaluating your application for admission.

Practical information

Useful links:

  • English
  • Full-time
  • Credits: 120
  • Oslo
Apply now

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