BSc (Hons) Data Science (with a year in industry)

4 Years On Campus Bachelors Program

University of York

Program Overview

York’s BSc (Hons) Data Science (with a year in industry) is designed for students who want to blend mathematics, statistics, and computing with real-world applications. It’s an excellent choice if you enjoy logical thinking, problem-solving, and coding, while also wanting to see how data science shapes industries and society.


Curriculum Structure

Year 1
Your first year lays the foundation in both theory and practice. You’ll learn key programming skills through modules like Foundations of Programming and explore core mathematical principles in Mathematical Foundations of Data Science. Alongside this, Probability and Statistics introduces you to handling and interpreting data, ensuring you’re ready for more advanced topics.

Year 2
Building on the basics, you’ll dive deeper into data analysis and computational tools. Modules such as Applied Machine Learning and Statistical Methods give you hands-on experience with data-driven modelling. You’ll also work on Group Project and Software Engineering, gaining valuable teamwork and technical skills that prepare you for your year in industry.

Year in Industry
This is your chance to put learning into practice. You’ll spend a year working with a leading organisation, applying your data science expertise to real-world challenges while building strong professional connections.

Year 3 (Final Year)
Returning to York, you’ll study more advanced and specialised topics. Modules like Artificial Intelligence and Data Science Project allow you to push your skills further and showcase your independent research ability. You’ll also explore applications through Advanced Statistical Modelling, rounding out your expertise before graduation.


Focus areas: Data science, machine learning, artificial intelligence, statistical modelling, software engineering, real-world applications.

Learning outcomes: Strong foundations in programming, mathematics, and statistics; ability to design and implement machine learning models; hands-on industry experience; confidence in independent research and teamwork.

Professional alignment (accreditation): Accredited by the British Computer Society (BCS), ensuring the degree meets professional standards in computing and data science.

Reputation (employability rankings): York is a member of the Russell Group, recognised globally for research excellence, and ranks highly for graduate employability in the QS and Guardian university guides.

Experiential Learning (Research, Projects, Internships etc.)

At the University of York, the BSc (Hons) Data Science (with a year in industry) program emphasizes hands-on learning to ensure you graduate with real-world skills. Students gain practical experience through well-equipped software labs, industry placements, and research projects, allowing them to apply coding, data analysis, and machine learning concepts directly to complex problems. The program also encourages teamwork and multidisciplinary collaboration, preparing you to make an immediate impact in professional settings.

Experiential learning at York includes:

  • Access to fully equipped software labs for both individual and group work

  • Use of industry-standard software and digital tools for data analysis and programming

  • Participation in a year-long industry placement to gain professional experience

  • Group projects and collaborative exercises across computer science and mathematics

  • A final-year research project focusing on real-world data science challenges

  • Support from departmental libraries and research resources for in-depth study

  • Opportunities to engage with the Department of Computer Science’s top-ranked research initiatives

  • Seminars and practical sessions designed to develop critical thinking and applied problem-solving skills

This combination of facilities, projects, and industry exposure ensures you graduate ready to tackle real-world data challenges confidently.

Progression & Future Opportunities

Graduates from the BSc (Hons) Data Science (with a year in industry) at the University of York are well-prepared to enter a rapidly growing data-driven workforce. Many find roles such as Data Analyst, Machine Learning Engineer, or Business Intelligence Specialist, equipped with both strong technical skills and real-world industry experience:

  • University career support: The Careers and Skills team offers one-to-one guidance, CV workshops, internship support, and employer networking events.

  • Employment stats & salary: York graduates enjoy high employability, with many securing roles in top tech and finance companies. Entry-level salaries for data science roles typically start around £28,000–£32,000.

  • Industry partnerships: The program includes a year in industry with established links to companies in finance, technology, and engineering sectors, giving students practical experience and professional connections.

  • Accreditation value: The course aligns with professional standards in computing and mathematics, adding credibility for long-term career progression.

  • Graduation outcomes: Graduates leave with multi-disciplinary skills, capable of applying computational, mathematical, and analytical techniques to solve complex real-world problems.

Further Academic Progression:
Students can continue their studies with postgraduate programs in areas such as MSc Data Science, Artificial Intelligence, or Advanced Computing, enhancing specialization and research opportunities while opening doors to senior technical or managerial positions.

Program Key Stats

£32,350
£9,535
£ 29
Sept Intake : 14th Jan


No
Yes

Eligibility Criteria

AAA
N/A
36
75 - 85

N/A
N/A
6.5
87

Additional Information & Requirements

Career Options

  • Data Scientist
  • Data Analyst
  • Machine Learning Engineer
  • Business Intelligence Analyst
  • AI Specialist
  • Data Engineer
  • Quantitative Analyst
  • Risk Analyst
  • Operations Analyst
  • Software Developer (Data-focused)
  • Financial Data Analyst
  • Health Informatics Specialist
  • Marketing Analyst
  • Research Scientist (Data/AI)
  • Big Data Consultant

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