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QS Rank:

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165

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University of Liverpool

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Liverpool

United Kingdom

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Program Rank

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137

Embarking on a journey toward a Master of Science degree in Data Science and Artificial Intelligence with a Year in Industry at the University of Liverpool opens the door to a world of possibilities in one of the most dynamic and in-demand fields today. The program is meticulously designed to provide students with a comprehensive understanding of both Data Science and Artificial Intelligence, integrating theoretical knowledge with practical insights. Through a carefully curated curriculum, students will engage with advanced topics that include machine learning, data visualization, big data technologies, and predictive analytics, ensuring they are well-equipped to tackle real-world challenges.

With a duration of 24 months, this master's program offers a unique opportunity for students to immerse themselves in the industry through a year-long placement. This hands-on experience is invaluable, as it not only enhances employability but also allows students to apply their academic knowledge in a practical setting, thereby bridging the gap between theory and practice. Throughout their studies, students will also have access to cutting-edge facilities and technology that facilitate innovative research and development.

The University of Liverpool prides itself on having a faculty comprised of leading experts in the fields of Data Science and Artificial Intelligence. These professionals bring a wealth of knowledge and industry experience into the classroom, employing diverse teaching methodologies that promote active learning and critical thinking. Students will have the chance to collaborate with faculty on groundbreaking research projects, gaining insights that will be essential for their professional growth and development.

Research opportunities abound within this program, thanks to the university's commitment to fostering innovation. Students will have access to state-of-the-art laboratories and resources that facilitate extensive research. The program encourages interdisciplinary collaboration, allowing students to work on projects that integrate data science with other domains such as healthcare, finance, and environmental studies. This breadth of research ensures that graduates are not only experts in data analytics but also well-rounded individuals ready to make meaningful contributions to their respective fields.

The network of industry connections that the University of Liverpool has cultivated is another significant advantage for students in this program. The university actively collaborates with leading organizations, providing students with a plethora of internship opportunities that enhance their employability. Graduates of this master's program have successfully secured positions in renowned companies, showcasing the effectiveness of the university’s career support services and placement programs.

Upon graduation, the career pathways available to students are remarkably diverse. Graduates can pursue roles such as Artificial Intelligence Engineer, Data Scientist, Data Engineer, Machine Learning Engineer, and more. The average base salary for graduates in this field is approximately £54,992, making it a lucrative choice for those entering the workforce. Alumni success stories further illustrate the program's impact, with former students thriving in various sectors, contributing to innovative projects, and assuming leadership roles in their organizations.

The unique features of the MSc in Data Science and Artificial Intelligence with a Year in Industry at the University of Liverpool set it apart from other programs. The integration of a year-long industry placement ensures that students not only learn but also gain hands-on experience that is critical in today’s job market. Furthermore, the emphasis on research and collaboration with faculty members means that students are often at the forefront of technological advancements and industry developments.

For prospective students, the program has specific eligibility criteria. Applicants are required to submit a passport, a statement of purpose, a resume, and relevant academic transcripts. It is also mandatory to provide proof of English language proficiency through standardized tests such as IELTS, PTE, or TOEFL. The minimum IELTS score required is 6.5, with additional requirements for other tests as applicable.

With an acceptance rate of 14%, gaining admission to this prestigious program is competitive, reflecting the high demand and quality of education offered. The university welcomes a diverse international cohort, with around 35% of students coming from various countries, fostering a rich multicultural learning environment.

Why Study Data Science and Artificial Intelligence with a Year in Industry at the University of Liverpool

  • A renowned institution consistently ranked among the top global universities, ensuring high academic standards and a reputable degree.
  • Access to expert faculty members who provide mentorship and support, enhancing research opportunities and academic growth.
  • Opportunity to engage in high-impact research and development projects, utilizing state-of-the-art facilities and resources.
  • A structured year-long industry placement that enhances practical skills and employability, facilitating a seamless transition from education to the workforce.
  • Strong industry connections resulting in excellent internship and job placement opportunities, providing graduates with a competitive edge in the job market.
  • Diverse student body enhancing cultural exchange and networking opportunities, preparing graduates to work in global environments.

In summary, the MSc in Data Science and Artificial Intelligence with a Year in Industry at the University of Liverpool is not just a degree—it's a transformative experience that equips students with the necessary skills, knowledge, and industry exposure to thrive in the competitive landscape of data science and artificial intelligence.

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Total Tuition Fees

$28,800

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Duration

24 Months

Ranking

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#155

US World and News Report

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#178

The World University Rankings

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#165

QS World University Rankings

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Intake

Fall ( Sept - Nov )

Class Profile

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Class Size

14

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Average Age

20

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Average Work Experience

1 Years

Diversity

North West England:

45%

Europe:

15%

Asia:

5%

Others:

5%

North America:

10%

Others:

25%

International:

20%

Career Outcomes

Recruiters

1Joinrs UK

2 aramco

3 iautogo

4 Smallcap.ai

5 RE Partners

6 Avvoka

7 Desia

8 Novuna

Prospective Job Roles

Artificial Intelligence Engineer

Analytics Manager

Data Engineer

Software Engineer

Data Mining Specialist

Business Intelligence Analyst

IT Data Analyst

Data Scientist

Data Visualization Designer

Business Intelligence Developer

Researcher

Database Developer

Machine Learning Engineer

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • IELTS

    6.5

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  • PTE

    61

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  • TOEFL

    88

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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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      Passport

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      Statement of Purpose

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      Resume

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      IELTS

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      Provisional Certificate

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      General LOR

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      General LOR

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      Semester wise Marksheet

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      Degree Certificate

    Application Deadlines

    Standard Deadline
    FallJul 12, 2025

    Fees and Funding

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    Tuition Fees

    $28,800 / year

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    Overall Cost

    $41,076 / year

    Funding Options

    Department Funding

    External Sources - Scholarships

    Scholarships

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      University of Liverpool Scholarship

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      University of Liverpool International Scholarship

    FAQs

    • It’s traditional to think of a PhD as a ‘solo’ endeavor: you pursue your project, with your research, leading to your thesis. All of that still happens within a CDT, but you’ll be working alongside a cohort of other PhD students. This provides a more collegiate atmosphere with an informal support structure and opportunities for collaboration. A cohort-based approach also enhances your networking opportunities. Like you, your fellow students are looking to become part of the next generation of leading data scientists and researchers. It’s worth getting to know them.

    • Please review our CDT Interview Guidance for tips on preparing for your interview. You will be asked to present (either live or via video) at the beginning of your interview. Review the Presentation guidance for interviews prior to your interview.

    • You can follow our expected timelines for recruitment activity by viewing our application timelines. You will be notified if you've been shortlisted and sent interview dates within 2 weeks of the application deadline. The interviews are being held online using MS Teams. Please familiarise yourself with the virtual meeting tool in advance.

    • Your application will be assessed by the academic supervisory team of your top two preferred projects. If you meet the eligibility requirements, you will be invited to attend two interviews with both supervisory teams.

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