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QS Rank:

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184

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University of York

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York

United Kingdom

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Program Rank

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7

The MSc in Data Science program at the University of York is meticulously designed to equip students with the in-depth knowledge and practical skills necessary for a successful career in the rapidly evolving field of data science. This comprehensive program spans 12 months, commencing in the Fall, and is structured to provide students with a solid foundation in both theoretical principles and practical applications of data science. With the increasing reliance on data-driven decision-making in various industries, the demand for skilled data scientists has surged, making this program a timely and relevant choice for aspiring professionals.

Throughout the course, students will delve into an extensive curriculum that covers essential subjects such as data analysis, machine learning, statistical modeling, and data visualization. Specific courses include Programming for Data Science, where students learn programming languages like Python and R; Machine Learning and Statistical Inference, which covers algorithms and their applications; and Data Visualization Techniques, where students master the art of data storytelling. Each course is crafted to challenge students intellectually while providing them with the tools they need to analyze and interpret complex data sets effectively.

The faculty at the University of York comprises esteemed academics and industry professionals with vast expertise in the field of data science. Their teaching methodology emphasizes a hands-on approach, integrating real-world case studies and collaborative projects that simulate the challenges faced by data scientists in the workplace. This interactive learning environment fosters critical thinking and problem-solving skills, enabling students to apply theoretical knowledge to practical scenarios. Faculty members are dedicated to mentoring students, ensuring they receive personalized guidance and support throughout their academic journey.

Research opportunities abound within the MSc in Data Science program, allowing students to engage in innovative projects alongside faculty and industry partners. The university boasts state-of-the-art facilities and resources, including access to high-performance computing clusters and extensive datasets, which are vital for conducting advanced research. Students are encouraged to explore various domains of data science, including but not limited to health informatics, environmental modeling, and social media analytics. These research experiences not only enhance students' skills but also contribute to the broader academic community.

Moreover, the University of York's strong connections with industry leaders facilitate valuable internship opportunities that are integral to the program. Students can gain hands-on experience by working with renowned companies and organizations, allowing them to apply their knowledge in real-world settings. These internships often lead to job offers upon graduation, as employers seek candidates who have demonstrated their capabilities in practical environments. The program's commitment to preparing students for the workforce is evident in its robust career services, which provide resources and support for job placement and professional development.

Why Study MSc in Data Science at the University of York?
The University of York offers a unique environment that blends academic rigor with practical experience, ensuring students are well-prepared for their future careers. Here are several compelling reasons to consider this program:

  • Comprehensive Curriculum: A well-rounded program that covers essential topics in data science, including machine learning, data analysis, and visualization.
  • Expert Faculty: Learn from leading academics and industry professionals who bring a wealth of knowledge and experience to the classroom.
  • Hands-On Learning: Engage in practical projects and internships that provide real-world experience and enhance employability.
  • Research Opportunities: Participate in cutting-edge research projects and collaborations that expand knowledge and skills.
  • Strong Industry Connections: Access to a network of industry leaders and companies for internships and job placements.
  • Alumni Success: Join a thriving community of successful graduates who have made significant contributions in the field of data science.

In terms of career outcomes, graduates of the MSc in Data Science program can look forward to a diverse array of job opportunities across multiple sectors. Prospective job roles include Data Engineer, Data Scientist, Data Visualization Specialist, and Clinical Data Analyst, among many others. The program boasts a commendable graduation rate of 70%, with many graduates securing positions with an impressive median base salary of $110,000. With the skills and knowledge gained from this program, students are well-prepared to tackle the challenges of the modern data landscape.

To be eligible for this program, candidates are expected to hold a minimum GPA of 2.2/4 in their undergraduate studies, with degrees in related fields such as data science or data analysis highly regarded. Additionally, applicants must submit a variety of supporting documents, including transcripts, a statement of purpose, a resume, and letters of recommendation from academic and professional sources. The application fee is set at $27.5, and the deadline for applications for the Fall intake is July 31st, 2025.

In conclusion, the MSc in Data Science program at the University of York stands out as a premier choice for those looking to advance their education and career in one of today’s most dynamic fields. With its comprehensive curriculum, expert faculty, robust research opportunities, and strong industry connections, students are positioned for success in the ever-evolving world of data science.

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Total Tuition Fees

$31,900

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Duration

12 Months

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Median Salary

$1,10,000

Ranking

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#264

US World and News Report

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#169

The World University Rankings

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#184

QS World University Rankings

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Intake

Fall ( Sept - Nov )

Class Profile

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Class Size

40

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Average Age

26

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Average Work Experience

2 Years

Diversity

Europe:

10%

North America:

5%

Others:

5%

North East England:

40%

Yorkshire and The Humber:

30%

Others:

20%

International students:

100%

Career Outcomes

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Median Earnings After Graduation

$1,10,000 / year

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Graduation Rate

70%

Prospective Job Roles

Data Engineer

Data Visualization Specialist

Clinical Data Analyst

Research Data Scientist

Population Health Data Analyst

Healthcare Data Analyst

Database Administrator

Museum Curator

Archivist

Data Scientist

Big Data Engineer

Spatial Data Analyst

Data analyst

Top recruiters

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Eligibility Criteria

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At least 2.2 / 4 undergraduate GPA is expected.

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Accepted fields include Data Scientist, Data analyst.

English Proficiency Tests

  • IELTS

    6.5

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  • DUOLINGO

    120

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  • PTE

    61

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  • TOEFL

    87

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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: 27.5

  • intake

    Transcript

  • intake

    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

Application Deadlines

Standard Deadline
FallJul 31, 2025

Fees and Funding

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Tuition Fees

$31,900 / year

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Overall Cost

$45,000 / year

FAQs

  • York University acceptance rate is 78.5%.

  • A Masters in Data Science can be challenging as it requires a strong foundation in mathematics and programming, as well as the ability to analyze and interpret large amounts of data.

  • 6.5

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