Data Science BSc Hons

Lancaster University's BSc Hons Data Science program is designed to give students more than just theoretical knowledge—it focuses on practical, hands-on learning that prepares graduates for real careers in data science. Over the three years, students tackle real-world problems, develop programming skills, and work on data analysis projects that mirror what they will face in the professional world. The course structure blends individual work, team projects, and specialized modules to help students build both technical expertise and strong collaborative skills.

Key Experiential Learning Opportunities:

Industry-Standard Software & Tools: Students get practical experience using the software and tools commonly used in computing and data analysis, ensuring they are workplace-ready from day one.

Real-World Data Analysis: Through projects based on real case studies, students learn how to analyze data and deliver actionable solutions, sharpening their problem-solving and quantitative reasoning abilities.

Individual Data Science Project: In the third year, each student completes a significant individual project in collaboration with a Lancaster academic, providing a chance to apply their skills to an in-depth research problem.

Group Projects: Team-based projects are a core part of the curriculum, helping students strengthen communication, collaboration, and project management skills vital for professional success.

Specialized Modules: Optional third-year modules allow students to dive deeper into areas of particular interest, giving them the chance to develop expertise in specific aspects of data science.

By blending theory with hands-on practice, Lancaster University's Data Science program ensures graduates are not only knowledgeable but also capable of applying their skills effectively in real-world settings.

Graduates of the BSc Hons Data Science program at Lancaster University are well-prepared to launch rewarding careers in the fast-growing field of data science. With a solid foundation in computer science and statistics, you'll be ready for a variety of roles, including:

• Data Analyst

• Data Scientist

• Business Intelligence Analyst

• Machine Learning Engineer

Support for Your Career

Lancaster University goes beyond teaching technical skills by providing strong support to help you succeed in the job market:

• Industry Placement Opportunities: In your final year, you'll have the chance to complete a 10-week industry placement, fully arranged by the university. Past placements have included prestigious organizations such as Microsoft, Dolby Digital, and GCHQ.

• Career Services: The university's dedicated career team helps students secure placements and internships, offering guidance and support at every step.

• Guest Speakers and Networking: Regular talks from industry professionals provide valuable insights into the technology sector and opportunities to make important professional connections.

• Accreditation: The program is designed to meet professional accreditation standards set by bodies such as the British Computer Society and the Royal Statistical Society, ensuring your degree is recognized and respected.

• Graduate Outcomes: Graduates from the School of Computing and Communications enjoy strong career prospects, with a median salary of £34,000 just 15 months after graduation.

Further Academic Progression

After completing the BSc Hons Data Science, there are several pathways to continue your studies and boost your career:

• MSci Hons Data Science (with Industrial Experience): This option adds an extra year of study at Master’s level, including an industry placement, giving you a competitive edge in the job market.

• Postgraduate Studies: Lancaster offers a variety of postgraduate programs in data science and related fields, allowing you to specialize or engage in advanced research.

• Professional Certifications: Earning certifications from recognized industry bodies can further enhance your skills, credentials, and career opportunities.

By choosing Lancaster University, you’re not just gaining the technical expertise needed for a career in data science—you’re also getting the support, connections, and opportunities to help you succeed in this dynamic field.