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QS Rank:

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8

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University College London

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London

United Kingdom

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Program Rank

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9

Embarking on the journey to earn your MSc in Finance With Data Science from the prestigious University College London is a transformative experience designed to equip you with the cutting-edge skills necessary to thrive in the dynamic landscape of finance and technology. This meticulously crafted program integrates core principles of finance with advanced data science methodologies, preparing you to tackle complex financial analyses and make data-driven decisions. With an emphasis on both theoretical knowledge and practical application, you'll engage with a curriculum that reflects the latest trends in the finance industry, ensuring that you are not only job-ready but also equipped to lead in an evolving marketplace.

The UCL School of Management prides itself on a robust curriculum that balances rigorous academic theory with real-world application. Throughout the program, you'll explore a diverse array of courses, including Financial Data Analysis, Machine Learning in Finance, Risk Management, and Financial Econometrics. Each course is designed to provide you with hands-on experience, leveraging advanced analytical tools and techniques that are essential in today’s data-driven finance sector. The integration of data science and finance empowers you to harness vast amounts of financial data effectively, enabling you to produce insights that can drive significant business value.

Our faculty comprises leading experts and practitioners in the fields of finance and data science who are dedicated to fostering a collaborative learning environment. They employ innovative teaching methodologies that include case studies, group projects, and simulations, allowing you to apply your knowledge in practical settings. Faculty members are not only committed educators but also active researchers, ensuring that the curriculum remains at the forefront of industry standards and scientific advancements. You will benefit from their extensive networks, gaining insights and mentorship that can propel your career forward.

At University College London, the emphasis on research is paramount. As a student in the MSc in Finance With Data Science program, you will have access to an array of resources, including state-of-the-art labs and research centers dedicated to financial analytics and data science innovations. Opportunities for interdisciplinary research projects will also be available, where you can collaborate with peers and faculty on groundbreaking studies that can influence industry practices. This scholarly environment not only enhances your learning experience but also positions you as a thought leader in the finance sector.

Moreover, UCL's location in the heart of London, one of the world’s leading financial hubs, provides unparalleled opportunities for industry connections and internships. The university has established partnerships with top financial institutions, consulting firms, and tech companies, allowing you to secure internships that will enrich your practical experience and enhance your professional network. These real-world experiences are invaluable, as they provide insights into the workings of the finance industry and expose you to a variety of career pathways.

Upon graduation, you will find yourself well-prepared for a wide range of career opportunities within finance and data science. Graduates from our program commonly pursue roles such as Data Quality Analyst, Finance Manager, Data Scientist, and Risk Manager among others. According to recent data, the median base salary for graduates in these positions is approximately £110,000, demonstrating the high demand for expertise in financial analytics. With a graduation rate of 95%, our alumni have successfully transitioned into influential roles across various sectors, further enhancing the program’s reputation.

Why Study MSc in Finance With Data Science at University College London

  • World-Class Education: UCL ranks consistently among the top universities globally, providing you with a prestigious degree.
  • Cutting-Edge Curriculum: The program integrates finance and data science, preparing you for the demands of a data-driven industry.
  • Expert Faculty: Learn from leading researchers and industry practitioners who are deeply invested in your education and success.
  • Vibrant Networking Opportunities: Gain access to internships and connections with top firms in London’s financial district.
  • High Employment Rate: Graduates enjoy excellent career outcomes with a strong employment rate and lucrative salary potential.

To apply for the MSc in Finance With Data Science, students must meet specific requirements, including a minimum undergraduate GPA of 3.0 or equivalent and at least 15 years of prior education. Additionally, proficiency in English is required, with standardized tests such as IELTS, TOEFL, or PTE accepted. Prospective students should also prepare to submit a statement of purpose, academic transcripts, a resume, and letters of recommendation as part of their application.

In conclusion, the MSc in Finance With Data Science at University College London is not merely an educational program; it is a gateway to a successful career in the finance and data analytics sectors. With its blend of rigorous academics, practical experience, and a robust network, UCL prepares you to become a leader in your field, equipped with the skills to navigate and influence the future of finance.

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Total Tuition Fees

$42,700

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Duration

12 Months

Ranking

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#16

US World and News Report

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#18

The World University Rankings

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#8

QS World University Rankings

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Intake

Fall ( Sept - Nov )

Class Profile

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Class Size

25

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Average Age

26

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Average Work Experience

2 Years

Career Outcomes

Graduates of the Engineering with Finance MSc program are well-prepared for high-level careers in various sectors, including engineering, project management, finance, investment banking, or information technology. Recent graduates have secured roles in prominent investment organizations such as KPMG, Deloitte, and PwC, as well as companies like Amazon, Wise Energy Ltd, Unilever, and SalesForce.

Prospective Job Roles

Financial Analyst

Investment Banker

Project Manager

Engineer

IT Consultant

Top recruiters

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Eligibility Criteria

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At least 15 years of bachelor degree.

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Accepted fields include engineering, physics, applied mathematics.

English Proficiency Tests

  • IELTS

    6.5

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  • PTE

    75

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  • Cambridge

    176

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  • LanguageCert

    75

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  • TOEFL

    92

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Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

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Application Fee: 90

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    Transcript

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    Resume

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    English Proficiency Test

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    Passport

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    Master SOP

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    Resume

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    IELTS

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    Class 10 Marksheets

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    Class 12 Marksheets

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    General LOR

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    Academic LOR

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    Professional LOR

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    Curriculum Vitae

Application Deadlines

Final Application
FallJun 26, 2026

Fees and Funding

A fee deposit of 2.5% of the first year fee is charged for UK offer holders, and 10% for Overseas offer holders. Cost of living estimated for London, UK.
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Tuition Fees

$42,700 / year

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Overall Cost

$50,992 / year

FAQs

  • The UCL MSc Finance program is highly regarded for its academic excellence and strong career prospects.
  • Data science is becoming increasingly more important in the finance industry, as companies seek graduates whose main expertise is in finance but who also have a high level of data science literacy and skills.
  • Financial data science combines the traditions of econometrics with the technological components of data science. Financial data science uses machine learning, and predictive and prescriptive analytics to provide robust possibilities for understanding financial data and solving related problems.

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