Data Science with Artificial Intelligence BSc (Hons)

When you join the BSc (Hons) Data Science with Artificial Intelligence at Robert Gordon University, your learning will go far beyond lectures and textbooks. From the very first semester, you’ll be hands-on in labs, building real software, working on projects with your peers, and developing the skills you’ll need to tackle real data challenges in industry.

At RGU, the course is designed to give you practical computing and AI experience every step of the way. You’ll have access to dedicated computing labs with up-to-date desktops and software, guided project modules, and workshops that bring theory into real-world scenarios. The program is structured so that each year builds on the last: starting with strong foundations in programming and data handling, moving into advanced AI and machine learning, and finally pulling everything together in a major individual capstone project in your final year.

What experiential learning looks like at RGU:

• Hands-on labs and workshops
  Almost every module includes practical sessions where you’ll work on coding exercises or data analysis tasks with support from your lecturers and tutors.

• Team-based projects
  From Year 2 onwards, you’ll take part in project-based modules where you and your classmates work together on realistic data problems. This helps you grow not just technically, but also in teamwork and communication.

• Capstone project in final year
  In your honours year, you’ll take on a substantial individual project. You’ll choose a topic, carry out research, and apply your knowledge of AI and data science in depth, creating something that showcases your skills.

• Optional placement year
  You can spend a year on industry placement, applying what you’ve learned in a professional environment, building your CV, and making valuable connections for your future career.

• Specialist computing facilities
  The School of Computing has nine dedicated IT labs with hundreds of desktops, full wireless coverage, and access to both open-source and specialist licensed software. There’s also a project lab especially for final-year students who need space and resources for their capstone work.

• Industry-relevant tools
  You’ll get hands-on with the same programming languages, libraries, and machine learning frameworks that professionals use, ensuring your skills are directly transferable to the workplace.

• Research-led teaching
  Many of your lecturers are active researchers in machine learning and AI. This means you’ll learn about cutting-edge topics and benefit from modules shaped by the latest developments in the field.

• Development of soft skills
  Through group work, presentations, and project assessments, you’ll also build essential skills in communication, collaboration, and presenting data clearly.

As a graduate of this programme, you’ll be stepping into a world where you can transform raw data into meaningful insights and smart applications. Careers like Data Scientist, Machine Learning Engineer, Data Engineer, or Data Visualisation Specialist are just a few of the opportunities waiting for you — all of which are highly sought after across industries like technology, finance, healthcare, and energy.

You’ll also be in a great position to take your studies further, whether that’s postgraduate research or a master’s degree. Here’s a clearer picture of what your future might look like:

Future Progression & Opportunities

University Services that Help You into Employment

• The Placement Office supports you in finding both short (summer) and year-long paid placements. You’ll even have a dedicated Placement Coordinator who keeps in touch with your employer and ensures everything runs smoothly.

• The School of Computing’s Career and Employability Support gives you hands-on guidance with CV writing, interview practice, employer events, and networking — all to make sure you’re career-ready.

• Through Study Skills and Academic Support, you’ll have access to help in areas like writing, maths, statistics, and IT — key skills employers really value.

• The University Library and IT labs provide excellent facilities, project spaces, and computing environments so you can practice solving real-world problems.

Employment Prospects & Salary Potential

• While exact graduate salary figures for this programme aren’t published, the career paths it prepares you for — such as Data Scientist and Machine Learning Engineer — are among the top-earning roles in the tech world.

• Because RGU focuses heavily on employability and practical placements, many graduates leave not only with a degree but also with industry experience that gives them a strong competitive edge.

University–Industry Partnerships

• RGU maintains strong collaborations with major organisations including BP, British Geological Survey, Wood Group PSN, Accenture, and Wipro, as well as several software consultancies. These connections often open the door to placements and graduate roles.

• Located in Aberdeen — a hub for energy, technology, and digital services — the university’s close ties to local IT firms, software houses, and major employers in oil, gas, and renewables give you plenty of career entry points.

Long-Term Value of Your Degree

• This is a full UK honours bachelor’s degree, recognised internationally for its quality and rigour.

• RGU is consistently ranked highly for student satisfaction in Computer Science, which adds weight to the reputation of your qualification.

• With training in cutting-edge AI and machine learning tools, you’ll graduate with knowledge that’s relevant now and adaptable as technology continues to evolve.

Graduation Outcomes

• You’ll be ready for roles like Data Scientist, Data Engineer, Data Manager, Database Designer, Data Mining Specialist, or Machine Learning Engineer.

• Some graduates choose to continue into research or PhD programmes, supported by the School of Computing’s expertise in AI, computer vision, and machine learning.

• Alongside technical expertise, you’ll develop transferable skills — programming, data handling, analytical problem-solving, visualisation, and project management — that employers across tech, consulting, finance, and healthcare are always looking for.

Further Academic Progression
After your BSc (Hons) in Data Science with Artificial Intelligence, you could:

• Take on a Master’s degree in Data Science, Artificial Intelligence, or Machine Learning to deepen your expertise.

• Pursue a PhD in Computing or AI, with opportunities available right at RGU’s School of Computing.

• Explore interdisciplinary postgraduate paths — such as AI in Health, AI in Finance, or Cognitive Science — building on your strong foundation.

• Complement your degree with professional certifications in cloud data services or specialist AI/ML tools, giving you an extra boost in employability.