Master of Science in Finance
Prepare for CFA exams and specialise in Data Science with a CFA-accredited finance programme.
Best for:Best for students seeking a CFA-accredited finance degree with an optional Data Science specialisation, aiming for careers in finance, investment, or data-driven financial analysis.
Overview
The Master of Science in Finance at Université de Neuchâtel is a CFA Institute-accredited programme designed to equip students with a strong foundation in finance, enabling them to pursue the CFA (Chartered Financial Analyst) exams. This programme offers a flexible curriculum, allowing students to specialise in Data Science as a major. It is tailored for those aiming to excel in finance-related careers, blending theoretical knowledge with practical skills to meet industry demands.
What you'll do
- Study core finance concepts including financial markets, corporate finance, and investment analysis.
- Prepare for the CFA exams through structured coursework and exam-focused training.
- Optionally specialise in Data Science, applying analytical techniques to financial data.
- Engage in case studies and practical projects to develop real-world financial skills.
- Collaborate with peers and faculty on finance-related research and discussions.
Requirements
Degree required: Bachelor’s degree in Economics, Finance, Business Administration, or a related field (or equivalent).
Degree offered: Master of Science (MSc)
Language: English; no specific proficiency test required (programme conducted in English).
Instruction: English
- Strong analytical and quantitative skills
- Basic proficiency in statistical software or programming (e.g., R, Python)
- Familiarity with financial markets and economic principles
- Open to international students; no residency restrictions mentioned.
- No age restrictions or prior experience caps.
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
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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
Deadline: 2024-04-30
Applicants must submit their application through the university’s official portal. Required documents include a CV, a letter of motivation, academic transcripts, proof of English proficiency (if applicable), and any additional documents related to the Data Science major if chosen.
- CV
- Letter of Motivation
- Academic Transcripts (Bachelor’s degree)
- Proof of English Proficiency (if not from an English-taught programme)
- Portfolio or additional documents for Data Science major (if applicable)
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.