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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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17

The Master of Data Science and Machine Learning is a top-tier program that provides in-depth training in data science and data analytics. The MS in Data Science and Machine Learning from the University College London is consistently ranked among the best in the world. International students choose this program at the University College London because of its high graduate employability rate. The University College London provides exceptional educational quality, cutting-edge practical training, and numerous job opportunities for its international students. After completing their MS in Data Science and Machine Learning from the University College London, students will be prepared to conduct extensive research in the field. The interactive curriculum, extensive research opportunities, and outstanding teaching faculty at the University College London provide students with a life-changing learning experience. A Master of Science degree will help students become creative and independent researchers. Overall, an MS in Data Science and Machine Learning from the University College London is a great option for students who want to study the field in depth. Here are some reasons to study Data Science and Machine Learning at the University College London: * It is a popular choice for international students with a diverse community. * You will learn from the best faculty members and have the opportunity to become their research assistants. * The university has state-of-the-art labs to support your research. * You will have access to excellent job placement programs after completing the program.

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Total Tuition Fees

$39,800

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Duration

12 Months

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Median Salary

$1,10,000

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

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

90%

Prospective Job Roles

Data Engineer

Data Integration Specialist

Marketing Data Analyst

Data Entry Clerk

Spatial Data Scientist

Investment Banker

Health Data Analyst

Data Architect

Data scientist

Japanese Data Scientist

Foreign Exchange Trader

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

    7

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  • PTE

    76

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  • TOEFL

    96

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Standardised Test Score

  • GRE

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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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    Passport

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    Statement of Purpose

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    Resume

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    IELTS

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    Academic LOR

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    Professional LOR

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    Class 10 Marksheets

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    Class 12 Marksheets

Application Deadlines

Standard Deadline
FallApr 4, 2025

Fees and Funding

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Tuition Fees

$39,800 / year

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Overall Cost

$56,000 / year

FAQs

  • The MSc Data Science has a core structure tailored to accommodate students from more varied academic backgrounds than would be suitable for the related MSc Statistics. Some knowledge of mathematical methods and linear algebra at university level is expected, along with evidence of familiarity with introductory probability, statistics and computer programming. Prior experience in a high-level programming language (e.g. R/matlab/python) is a requirement, and relevant professional experience may be taken into consideration. Please note that we cannot comment on the suitability of specific courses prior to receiving a formal application.

  • For the MSc Statistics and Medical Statistics and Data Science, particular emphasis will be placed on the mathematical component of a candidate’s educational background and generally we look for evidence that applicants have taken advanced, university-level courses in the areas of mathematics/algebra and statistics/probability. Please note that we cannot comment on the suitability of specific courses prior to receiving a formal application.

  • The MSc Data Science primarily differs from the MSc Statistics through its greater emphasis on the development of computational skills and focus on data analysis as an iterative process to be carried out in collaboration with business clients and scientists in other areas, such as the pharmaceutical industry and social sciences.

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