MSc Honours Programme in Finance and Technology
Bridge the gap between data science and finance with a specialised master’s programme at Vrije Universiteit Amsterdam.
Best for:Best for finance graduates or data science enthusiasts aiming to specialise in the intersection of technology and financial services, with a focus on data-driven decision-making and innovation.
Overview
This one-year Honours Programme in Finance and Technology at Vrije Universiteit Amsterdam integrates traditional finance with cutting-edge data science, blockchain, and network technologies. Designed for graduates seeking to understand and apply advanced computational methods in financial contexts, the programme trains professionals who can translate technical innovations into actionable financial strategies. Students will develop expertise in data-driven decision-making, financial modelling, and the practical implementation of emerging technologies like blockchain. The curriculum emphasises hands-on learning, preparing graduates to bridge the gap between technical specialists and business leaders in the finance sector.
What you'll do
- Develop advanced financial models using big data and computational techniques to solve real-world financial challenges.
- Explore the application of blockchain technology in financial administration, record-keeping, and transactional systems.
- Analyse complex financial networks to understand robust and stable interactions within economic systems.
- Bridge the gap between technical data scientists and financial managers by translating technical solutions into business strategies.
- Engage in hands-on projects that integrate data science methodologies with traditional finance principles.
- Collaborate with industry partners to understand and address emerging challenges in financial technology.
Requirements
Degree required: Bachelor’s degree in Finance, Economics, Data Science, Computer Science, or a related field.
Degree offered: Master of Science (MSc)
Language: English; proficiency sufficient for academic study and communication in an English-speaking environment.
Instruction: English
- Strong analytical and quantitative skills for financial modelling and data analysis.
- Basic proficiency in programming (e.g., Python, R, or SQL) for data manipulation.
- Understanding of fundamental financial concepts and principles.
- Ability to work with large datasets and apply statistical methods to financial problems.
- Open to international applicants; no specific nationality restrictions.
- No age restrictions, but applicants must meet the university’s general admission criteria.
Funding & terms
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
- Not confirmed by the source
- Teaching language
- Not confirmed by the source
- Taught / research mode
- Not confirmed by the source
- Study mode
- Not confirmed by the source
- Campus
- Not confirmed by the source
- Prerequisites
- Not confirmed by the source
- Application instructions
- Not confirmed by the source
- Tuition
- Not confirmed by the source
- Funding
- Not confirmed by the source
How to apply
Deadline: 2027-04-01
Applicants must submit their application through the official Vrije Universiteit Amsterdam portal. The application process typically requires a completed online form, academic transcripts, a motivation letter, and proof of English proficiency. Additional documents such as a CV and letters of recommendation may also be requested.
- Completed online application form
- Academic transcripts and degree certificates
- Motivation letter
- Proof of English proficiency (e.g., IELTS, TOEFL)
- CV (Curriculum Vitae)
- Letters of recommendation (if required)
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.