Data Science (Placement Year) BSc Hons

4 Years On Campus Bachelors Program

Lancaster University

Program Overview

If you’re excited about turning data into real impact, this degree gives you the perfect balance of technical skills and industry experience. You’ll build a strong foundation in computer science and statistics, while learning how to use modern data tools to solve real-world problems. With the added benefit of a year-long industry placement, you’ll graduate with the knowledge, confidence, and experience to stand out in today’s fast-moving data-driven world.


Curriculum Structure

Year 1
Your first year sets the scene with the core building blocks of computer science and statistics. You’ll cover the essentials of data analysis, problem-solving, quantitative reasoning, and mathematical methods. These modules are designed to show how theory links directly to practice, giving you an early taste of the problem-solving mindset of a data scientist.

Year 2
In your second year, you’ll deepen your expertise in linear algebra, probability, and statistics, while developing stronger programming and software design skills. Group and individual projects — including the Project Skills module — give you the chance to apply what you’ve learned, sharpen your research abilities, and grow the employability skills that employers are looking for.

Year 3
Your third year is where things get really exciting — you’ll step into the workplace for a full-year placement. With support from Lancaster’s expert Careers Service, you’ll put your academic learning into practice, gain first-hand industry experience, and build professional connections that can shape your future career path.

Year 4
Coming back from placement, you’ll be ready to specialise. A wide choice of optional modules in both computer science and mathematics lets you tailor your studies to your own interests. You’ll also complete a substantial individual data science project under the guidance of an academic, developing expert skills that prepare you for professional roles or further study.


Other Key Details

  • Focus areas: Computer science and statistics fundamentals, data analysis, software design, linear algebra, probability, and a final-year data science project.

  • Learning outcomes: By the end of the degree, you’ll be confident in quantitative reasoning, programming, software design, independent research, and applying your skills to real-world problems.

  • Professional experience: While there isn’t a formal accreditation, the placement year and Lancaster’s strong industry links — including through the Data Science Institute — mean you’ll graduate with practical, job-ready experience.

  • Reputation: Lancaster has an excellent reputation in the field, ranking 13th in the UK for Computer Science & Information Systems (Guardian University Guide 2025) and 19th for research quality in Computer Science (Complete University Guide 2026).

Experiential Learning (Research, Projects, Internships etc.)

From your very first day, you’ll dive straight into hands-on learning that’s shaped around real-world challenges. You’ll work with industry-standard software in brand-new, high-tech computer labs inside Lancaster’s cutting-edge Science and Technology Building. There are also creative, collaborative spaces and even the SkyLounge—a bright, modern space that’s perfect for group projects or quiet study with a view.

As you move through the degree, your learning journey shifts from building core theory to tackling practical, applied projects. By your final year, you’ll take on an independent, research-driven project that reflects your own interests and ambitions. Plus, your third year placement gives you the chance to put everything into practice in a real workplace—with full career support from Lancaster’s expert Careers Service.

Here’s a closer look at what you’ll experience:

Industry-standard software and facilities: Learn with professional-level tools in high-end computer labs and collaborative spaces within the Science & Technology Building—supported by inspiring study areas like the SkyLounge.

Individual and group projects: Starting in Year 2, you’ll take on Project Skills modules where you’ll work on real challenges, both independently and as part of a team.

Placement year (Year 3): Spend 12 months on a professionally relevant placement, applying your skills in a real-world setting. You’ll be supported every step of the way—from CV and profile building to interview prep and applications.

Final-year Data Science project: In Year 4, you’ll shape your learning by choosing specialist modules and completing a major individual project, working alongside one of Lancaster’s academics. It’s an excellent way to showcase your expertise to future employers.

Ethics and sustainability: Throughout your degree, you’ll explore the ethical, social, and environmental responsibilities of data science, preparing you to become a thoughtful and responsible practitioner.

Career and placement support: Lancaster’s Careers Service provides tailored advice and guidance before, during, and after your placement—helping you confidently take your next steps.

Cross-disciplinary learning: You’ll benefit from the knowledge of multiple departments—including Computing, Mathematics, Management, and Environmental Sciences. Lancaster’s Data Science Institute also connects your studies to a wide range of industries and employers.

Progression & Future Opportunities

Where our graduates go:
Many students step straight into exciting roles such as data analyst, data scientist, or machine learning engineer. Just over a year after finishing, graduates typically earn around £34,000 as a median salary, showing strong demand for their skills.

Support that boosts your employability:
You’ll have access to one-to-one careers advice, as well as our annual careers fair where employers like Network Rail, Oracle, Johnson & Johnson, and a wide range of SMEs and global companies—including IBM, Google, BBC, and BAE—come to meet students.
On top of that, you can take part in the Lancaster Award, which helps you build your CV with work experience, career development, and community involvement.

Employment results at a glance:

  • Median salary of £34,000 within 15 months of graduation

  • High employability with strong entry into competitive roles

Industry connections:
The programme is backed by powerful partnerships. Graduates have gone on to work at leading organisations such as IBM, Google, BBC, and BAE. During your studies, placement opportunities through the Lancaster Data Science Institute open doors to organisations like Microsoft, Dolby Digital, and GCHQ.

The value of accreditation and reputation:
Your degree will be delivered by the Data Science Institute—an internationally recognised centre for interdisciplinary research. This gives the course global credibility and strengthens your career prospects in the long run.

Graduation outcomes:
Students leave equipped to make a real impact in the world of data, entering top-tier jobs with competitive salaries, strong industry links, and a clear pathway for career progression.

Program Key Stats

£30,770
£ 29
Oct Intake : 14th Jan


No
Yes

Eligibility Criteria

AAA
N/A
36
70 - 87

N/A
N/A
6.0
87

Additional Information & Requirements

Career Options

  • Data Scientist
  • Data Analyst
  • Business Analyst
  • Machine Learning Engineer
  • Artificial Intelligence Engineer
  • Data Engineer
  • Big Data Engineer
  • Statistician
  • Database Administrator
  • Quantitative Analyst
  • Risk Analyst
  • Financial Analyst
  • Operations Analyst
  • Research Scientist
  • Business Intelligence Developer
  • Data Architect
  • Cloud Data Engineer
  • Marketing Analyst
  • Healthcare Data Analyst
  • Social Media Analyst
  • Cybersecurity Analyst
  • Fraud Analyst
  • Product Analyst
  • Supply Chain Analyst  

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