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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 Science in Data Science and Machine Learning at the University College London is an unparalleled program that immerses students in the intricacies of data science and analytics. This prestigious program is meticulously designed to equip students with the knowledge and skills necessary to excel in the rapidly evolving domains of data science and machine learning. The curriculum is a blend of theoretical foundations and practical applications, ensuring that students not only understand the principles of data analysis but also how to apply these concepts in real-world scenarios. With courses that cover statistical methods, machine learning algorithms, big data technologies, and data visualization techniques, students will emerge from the program ready to tackle complex data challenges head-on. Moreover, the program emphasizes hands-on experience through various projects and collaborations, allowing students to work with real data sets and develop their analytical capabilities. Students will engage in critical discussions around data ethics, privacy, and the societal implications of artificial intelligence, positioning them as responsible leaders in the field. The interactive curriculum promotes collaborative learning, where students can share ideas, tackle problems together, and learn from one another's diverse backgrounds and perspectives. Each student’s journey is tailored to their interests and career aspirations, providing a personalized educational experience that is truly unique. The University College London boasts an esteemed faculty comprised of leading experts in the fields of data science and machine learning. These faculty members are not only accomplished researchers but also dedicated educators who bring their real-world experiences into the classroom. Their teaching methodology focuses on fostering critical thinking, problem-solving skills, and creativity, enabling students to become independent researchers and innovators. Students will have the unique opportunity to engage in cutting-edge research alongside faculty members, contributing to ongoing projects that push the boundaries of what is possible in data science and machine learning. Additionally, the program offers significant research opportunities, with access to state-of-the-art facilities and resources. Students are encouraged to engage with industry partners, participate in workshops, and attend seminars that expose them to the latest advancements in data science. The university's strong connections to various sectors—from technology and finance to healthcare and government—enable students to forge valuable industry networks. This is complemented by robust internship possibilities that allow students to gain practical experience and apply their knowledge in real-world settings, enhancing their employability upon graduation. Upon completing the MSc in Data Science and Machine Learning, graduates can expect to find diverse career pathways across multiple industries. The demand for skilled data scientists and machine learning engineers continues to grow, making this program an excellent investment in a future-proof career. Alumni of the program have secured positions in leading organizations, ranging from tech giants to financial institutions, and have reported high levels of job satisfaction and competitive salaries. Success stories from graduates highlight their rapid career progression and contributions to innovative projects in data analysis and machine learning. In summary, the University College London stands out as an exceptional choice for those pursuing a Master's degree in Data Science and Machine Learning. The combination of a cutting-edge curriculum, distinguished faculty, ample research opportunities, and strong industry connections ensures that students receive a comprehensive education that prepares them for success. Why Study MSc in Data Science and Machine Learning at University College London:

  • The program is consistently ranked among the top in the world for its quality and impact.
  • The diverse student community fosters an enriching learning environment.
  • Students benefit from exceptional faculty expertise and mentorship opportunities.
  • Access to modern research facilities and cutting-edge technologies enhance the learning experience.
  • Strong internship and job placement support to help students transition into successful careers.
  • Alumni have achieved notable success in various industries, reflecting the program's effectiveness.
  • The curriculum is continually updated to reflect the latest trends and technologies in data science.

Admission to the MSc in Data Science and Machine Learning program requires candidates to have a strong academic background in relevant fields such as computer science, mathematics, or statistics. Key requirements include a recognized undergraduate degree and proficiency in English, demonstrated through standardized tests such as IELTS (minimum score of 7.0), PTE (minimum score of 76.0), or TOEFL (minimum score of 96.0). Interested candidates are encouraged to check specific entry requirements on the official website, as prerequisites and additional documentation may apply.

In conclusion, the MSc in Data Science and Machine Learning at the University College London is an ideal choice for individuals seeking to excel in the dynamic world of data analytics and artificial intelligence. With a commitment to educational excellence and a focus on practical, real-world applications, this program prepares graduates to become leaders in their field. Embrace the opportunity to enhance your career prospects and make a meaningful impact in the realm of data science.

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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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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

  • intake

    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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