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3 Years On Campus Bachelors Program
University of PlymouthThe BSc (Hons) Data Science with Artificial Intelligence at the University of Plymouth equips students with practical skills in AI and data science, supported by a strong foundation in mathematics and computational methods. It is ideal for those who enjoy analytical problem-solving, coding, and applying data to solve real-world challenges.
Curriculum Structure
Year 1
In the first year, students build a solid foundation in mathematics and computing essential for data science and AI. Modules such as Calculus, Linear Algebra, and Fundamental Data Science teach programming, algorithm design, and data structuring, giving students the tools to transform raw information into actionable insights. By the end of this year, learners gain a clear understanding of how mathematics and programming support AI development.
Year 2
The second year focuses on integrating mathematics, statistics, and computing into practical AI applications. Students study Core Artificial Intelligence, Data Modelling, and Information Management, developing professional coding skills while solidifying their understanding of broader data science methods. This year prepares students for advanced AI concepts and real-world data challenges.
Optional Placement Year
Students may take a paid placement year to gain hands-on experience in industries like finance, healthcare, or technology. This opportunity allows learners to apply their knowledge to practical problems, build professional networks, and enhance employability, often leading to job offers or sponsorship opportunities.
Final Year
The final year deepens expertise with modules such as Machine Learning, Big Data Analytics, Parallel Computing, Health Data Science, Optimisation, and Financial Modelling. Students complete an Artificial Intelligence Project, demonstrating their ability to apply data science and AI techniques to industrial or societal challenges, strengthening their portfolio for future careers.
Focus Areas: Artificial Intelligence, Data Analytics, Machine Learning, Big Data, Computational Mathematics, Programming, Applied Data Science
Learning Outcomes: Develop advanced skills in AI and data science, apply mathematical and computational techniques, solve complex real-world problems, design and implement AI solutions, conduct independent research projects
Professional Alignment (Accreditation): Industry-informed curriculum with strong links to employers and professional practice
Reputation (Employability Rankings): Supported by TEF Gold recognition; graduates highly sought after due to practical, industry-relevant training and placement experience
At the University of Plymouth, the BSc (Hons) Data Science with Artificial Intelligence is designed to immerse you in hands-on, practical learning from day one. You’ll gain real-world skills by working with cutting-edge tools and technologies, while learning in a collaborative, supportive environment. The course emphasises applying mathematical, statistical, and computational concepts to solve genuine data-driven problems, preparing you for high-demand careers in AI and data science.
Students benefit from a wide range of dedicated facilities and experiential opportunities that bring theory to life:
Access to specialist computer laboratories tailored for data science, AI experimentation, and software engineering.
Use of high-performance computing resources for advanced data processing and machine learning tasks.
Practical modules and group projects that simulate real-world challenges in AI and data science.
An optional paid placement year, offering experience with companies like Apple, Red Bull Racing, BMW, and Schneider Electric.
Field-specific software and digital tools used in industry, including programming environments, data modelling, and analytics platforms.
Opportunity to work on a final-year AI project under expert supervision, showcasing your ability to apply knowledge to societal and industrial challenges.
Access to the Babbage Building, featuring modern computer and AI labs, lecture theatres, and collaborative study spaces.
Interaction with industry experts and researchers through showcases, seminars, and workshops, ensuring your learning is informed by current professional practices.
Engagement with research institutes such as the Centre for Mathematical Sciences, Big Data Group, and the Centre for Cyber Security, Communications and Network Research (CSCAN).
This blend of practical experience, professional networking, and access to advanced facilities ensures that every student develops the confidence and skills needed to excel in a dynamic AI and data science career.
Graduates of the BSc (Hons) Data Science with Artificial Intelligence at the University of Plymouth are well-prepared for dynamic, high-demand careers in technology and analytics. Typical roles include Data Scientist, AI Engineer, Business Intelligence Analyst, and Machine Learning Specialist:
University Services: The Careers and Employability Service provides one-to-one career guidance, CV workshops, interview preparation, and networking events with industry professionals.
Employment Stats & Salary: Graduates often secure employment with competitive starting salaries, with placement students earning £15,000 or more during their optional placement year.
University–Industry Partnerships: Strong connections with companies such as Apple, Red Bull Racing, Schneider Electric, BMW, EDF Energy, and the Science and Technology Facilities Council offer placements, sponsorship, and real-world project experience.
Accreditation Value: The program aligns with industry standards, giving graduates credibility and long-term recognition in AI and data science fields.
Graduation Outcomes: Students leave with practical expertise, professional confidence, and a portfolio of projects, making them highly competitive for roles across finance, healthcare, technology, and environmental sectors.
Further Academic Progression:
Graduates can continue their studies with master’s degrees in Data Science, Artificial Intelligence, Machine Learning, or related fields. The program also provides a strong foundation for research roles or PhD opportunities, enabling further specialization and advancement in cutting-edge AI technologies.
112 UCAS points / English at grade C/4 and Maths at grade B/5.112 points to preferably include an A Level in a technical subject such as Computer Science, Mathematics, Statistics, Information Technology or Physics.IB: 26-30 overall.IELTS: 6.0 overall / 5.5 in all four components (listening, reading, speaking and writing)TOEFL: 76; Component scores of listening 17, reading 18, speaking 20, writing 18For Indian Applicants: Applicants to have completed the High School Certificate (year 12) or the Indian School Certificate (year 12) or the All India Senior School Certificate Examination (known as the Delhi Indian School Certificate Examination Year 12) with at least 60% or above. For US Applicants: GPA of 3.0 out of 4.0 in a US High School Graduation Diploma with a minimum of one of the following: AP at grade 3, 4 or 5 (usually two or three subjects relevant to the course), SAT 1200 or above, ACT 25 or above.Data ScientistMachine Learning EngineerAI ResearcherData AnalystBusiness Intelligence AnalystBig Data EngineerDeep Learning SpecialistNLP EngineerRobotics ProgrammerComputer Vision EngineerPredictive Analytics ConsultantAI Product Manager
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