QS Rank:

8

University College London

London
,United Kingdom

Program Rank

9

Program Name
MSc in Finance With Data Science

Deadline
June 27th, 2025
Overview


Total Tuition Fees
$47,100

Duration
12 Months

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

Class Size
25

Average Age
26

Average Work Experience
2 Years
Diversity
North America:
5%Africa:
2%Others:
6%UK:
60%Asia:
10%South America:
2%EU:
15%Career Outcomes

Median Earnings After Graduation
$1,10,000 / year

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
















Eligibility Criteria

At least 3 / 4 undergraduate GPA is expected.

At least 15 years of bachelor degree.
English Proficiency Tests
IELTS
6.5
TOEFL
92
PTE
75
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.

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

Tuition Fees
$47,100 / year

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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