The BSc (Hons) Data Science at Plymouth is designed to help you turn raw data into meaningful insights. You’ll gain both computational and mathematical skills that let you tackle complex problems, making this degree perfect if you enjoy logical thinking, coding, statistics, and want a qualification that opens doors to high-demand careers in finance, healthcare, technology, or government.
Curriculum structure
Year 1
In your first year, you’ll build the foundations in mathematics and computing. You’ll cover topics like calculus, linear algebra, and numerical techniques, alongside an introductory data science module that shows you how to work with data effectively. You’ll also learn programming, software engineering, and computational algorithms, combining theory with hands-on practice so you can start applying your skills from day one.
Year 2
In the second year, you’ll start seeing how mathematics, statistics, and computing come together in real-world scenarios. You’ll study modules such as data modelling, information management, and operational research, while also getting introduced to professional software development practices. This year also gives you the chance to explore different areas of data science and start thinking about which specialisms excite you the most.
Optional placement year
Between your second and final years, you can choose to take a paid placement in industry. This is a fantastic opportunity to work on real problems in areas like healthcare, government, or big data companies. Many students return with job offers or stronger professional networks, giving you a head start in your career.
Final year
Your final year focuses on advanced topics and an independent capstone project. You might study machine learning, big data analytics, parallel computing, health data science, optimisation, or financial modelling. The major project allows you to explore a topic of your choice under expert supervision, showing that you’re ready for professional work or further study.
Focus areas: data modelling, statistical analysis, machine learning, big data systems, optimisation, and sector-specific applications of data.
Learning outcomes: you’ll be able to design data pipelines, build predictive models, interpret results in real-world contexts, program robust data software, communicate insights clearly, and handle large datasets with confidence.
Professional alignment: while the course doesn’t mention a specific professional accreditation, its curriculum is closely aligned with industry expectations in computing, analytics, and software engineering, with a strong emphasis on practical skills and real-world applications.
Reputation and employability: the University of Plymouth highlights that its courses offer excellent employability. Many placement students return with job offers, and the university invests in state-of-the-art facilities, like the Babbage Building, to give you hands-on, real-world learning experiences.
At the University of Plymouth, BSc (Hons) Data Science students gain hands-on experience from the very start. You’ll work with real-world data, develop practical skills in programming, AI, machine learning, and big data, and learn to translate complex datasets into actionable insights. The course is designed to immerse you in applied learning, using industry-standard software, collaborative projects, and state-of-the-art facilities that prepare you for a successful career in data science. The program emphasizes practical application through group projects, placements, and research-led modules, ensuring that your skills are both current and industry-relevant:
Specialist Facilities: Access to cutting-edge computer laboratories in the Babbage Building, tailored for data science, software engineering, and AI experimentation, including high-performance computing resources.
Software and Digital Tools: Training in professional software development practices, programming languages, and data science tools used across industries.
Group Projects: Collaborative projects throughout the course to apply your knowledge to real data science problems, encouraging teamwork and problem-solving.
Optional Placement Year: Opportunity for a paid industry placement with leading companies such as Apple, Red Bull Racing, and Schneider Electric, gaining professional experience, building networks, and enhancing employability.
Research and Innovation: Work with academic staff involved in world-leading research groups including the Big Data group, Centre for Mathematical Sciences, and Centre for Cyber Security, Communications and Network Research.
Libraries and Study Spaces: Access to comprehensive study resources, including the university library and dedicated study areas, to support research and independent learning.
Industry Connections: Strong links with industry experts and an Industry Advisory Group ensure your learning aligns with real-world needs and trends.
Final Year Project: Undertake an individual project under expert supervision, applying advanced data science methods to industrial or societal challenges, producing a portfolio that demonstrates your expertise.
This combination of facilities, tools, placements, and research-led teaching ensures that every student graduates with the confidence, practical skills, and industry insight needed to succeed as a data scientist.
Graduates of the BSc (Hons) Data Science at the University of Plymouth are well-prepared to launch careers where data-driven decision-making is central. Typical roles include Data Scientist, Business Intelligence Analyst, Machine Learning Engineer, and Data Analyst:
University Services: The Careers & Employability team provides one-to-one support for CV writing, interview preparation, and placement opportunities, ensuring students are industry-ready.
Employment & Salary Stats: Optional placement years with companies like BMW, EDF Energy, and Babcock can offer £15,000+ annually, and often lead to graduate job offers.
University–Industry Partnerships: Strong connections with global employers including Apple, Red Bull Racing, and Schneider Electric give students access to real-world projects and networking opportunities.
Long-term Accreditation Value: Graduates benefit from a degree shaped by industry standards, ensuring professional recognition and credibility in data-driven sectors.
Graduation Outcomes: Students leave with hands-on experience, advanced technical skills, and a portfolio demonstrating their capability to tackle complex data challenges.
Further Academic Progression:
Graduates can continue their studies through postgraduate programs such as MSc Data Science, Artificial Intelligence, or Big Data Analytics, or pursue research opportunities, enabling specialization and advanced career paths in academia or industry.
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