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
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Program Name
MSc in Finance With Data Science
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Deadline
June 27th, 2025
Overview
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Total Tuition Fees
$47,100
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Duration
12 Months
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Median Salary
$1,10,000
Ranking
#16
US World and News Report
#18
The World University Rankings
#8
QS World University Rankings
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
Diversity
North America:
5%Africa:
2%Others:
6%UK:
60%Asia:
10%South America:
2%EU:
15%Career Outcomes
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Median Earnings After Graduation
$1,10,000 / year
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Graduation Rate
95%
Prospective Job Roles
Data Quality Analyst
China Finance Analyst
Kinesiology Finance Manager
Healthcare Finance Manager
Finance
Manager of Finance
Green Finance Specialist
Director of Finance
Journalist
Librarian
Data scientist
Finance Manager
Top recruiters
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Eligibility Criteria
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At least 3 / 4 undergraduate GPA is expected.
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At least 15 years of bachelor degree.
English Proficiency Tests
IELTS
6.5
TOEFL
92
PTE
75
Standardised Test Score
GRE
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
Transcript
Passport
Statement of Purpose
Resume
IELTS
Academic LOR
Class 10 Marksheets
Class 12 Marksheets
Application Deadlines
Standard Deadline | |
---|---|
Fall | Jun 27, 2025 |
Fees and Funding
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Tuition Fees
$47,100 / year
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Overall Cost
$62,000 / 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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