Data Science BSc Honours

What this means in practice (experiential learning details):

NICD collaboration
You won’t just learn in the classroom — you’ll be working closely with the National Innovation Centre for Data (NICD). They help shape the programme, so you’ll be tackling real business challenges, handling industry-level datasets, and learning directly from practitioners who are active in the field.

Modules & real datasets
From Stage 2 onwards, your modules are designed around real-world applications. For example, in the Group Project module you and your team will work on genuine business problems, digging into data and coming up with practical solutions.

Bootcamps, masterclasses & flipped learning
The NICD-led modules use teaching methods that keep things hands-on and interactive. Flipped learning means you review material in advance, then use class time to apply it in discussions and problem-solving. Bootcamps are intensive, practical sessions where you build skills quickly. Masterclasses bring in external experts to share their knowledge and experience.

Software & tools
You’ll get plenty of practice with the tools data scientists actually use. Expect to learn programming, statistical modelling, data visualisation, and algorithm design. Facilities like the computing labs in the Urban Sciences and Herschel Buildings give you access to modern software and clusters to support your work.

Facilities
The Herschel Building, home to the School of Mathematics, Statistics and Physics, offers computing clusters, study and social spaces, and recorded lectures you can revisit whenever you need. Meanwhile, the Catalyst at Newcastle Helix — where the NICD is based — is a cutting-edge hub that brings together businesses, academics, and students in a collaborative environment.

Labs, practicals & assessment
Your learning won’t be limited to lectures. You’ll spend time in labs, take part in practical sessions, and work on projects both individually and in groups. Assessment is varied too — instead of only exams, you’ll be assessed through coursework, projects, presentations, and portfolio submissions.

Placement & internship opportunities
There’s also the option to take on a paid industrial placement lasting 9–12 months, either in the UK or abroad. These usually happen in Stage 3 and are a great way to gain real experience and build professional contacts.

Study abroad
If you’re keen to explore further, you can choose to spend up to a year studying at one of Newcastle’s partner universities overseas.

Graduates from this course usually step into roles like data scientist, data engineer, machine learning engineer, data analyst, or risk analyst. You’ll leave not just with strong technical skills in coding, statistics, and computing, but also with practical experience from projects and placements that prepare you to make an impact right away. Many of our graduates move quickly into roles solving real-world challenges in tech, finance, health, or consulting — often with impressive starting salaries.

What Helps You Get There

University services & support

• From your very first year, you’ll have access to Newcastle’s Careers Service and the Learning Partnerships team. They run career-planning sessions, support with applications, and practice for interviews and assessment centres.

• The School of Mathematics, Statistics and Physics has its own dedicated employability facilitator who arranges employer talks, networking opportunities, and industry connections.

Work placements and global opportunities

• In Stage 3, you’ll have the option of taking a 9–12 month industrial placement in the UK or abroad. This extends your degree by a year and gives you valuable professional experience.

• A study abroad option is also available, giving you global exposure and helping you develop as a well-rounded, internationally aware professional.

Employment stats & salaries

• Newcastle graduates report an average starting salary of around £32,000.

• Around 96% of students are in employment or further study within six months of graduating, and about 85% of those are in graduate-level roles.

Strong industry links

• The degree is delivered in partnership with the National Innovation Centre for Data (NICD), which works with businesses to provide live data sets, industry challenges, and masterclasses.

• NICD’s connections include well-known organisations such as Red Hat, Procter & Gamble, Newcastle Building Society, and the NHS.

• The Schools of Computing and Mathematics, Statistics and Physics also maintain strong employer ties through guest lectures, projects, and networking events.

Accreditation and reputation

• While the course isn’t tied to a specific external accreditation, its close relationship with NICD and strong industry-informed curriculum mean it’s well recognised by employers.

• Being part of Newcastle University, with its strong reputation for graduate employability, adds further credibility.

Graduation Outcomes

• Around 96% of graduates are working or in further study within six months.

• The majority — roughly 85% — go straight into graduate-level roles.

• Thanks to group projects, internships, and industry challenges, you’ll graduate with a portfolio that shows employers you’re ready to deliver in the real world.

Future Academic Pathways

• Many graduates choose to continue their studies with a master’s in Data Science, Artificial Intelligence, Machine Learning, Statistics, or related fields, giving them a sharper specialism and access to more senior or research roles.

• Some progress into PhD or doctoral research, especially those who’ve enjoyed the research projects and want to move into academia or advanced R&D.

• Short professional courses or certifications in areas like cloud computing, deep learning, or big data are also popular ways to boost your expertise alongside your degree.

• It’s also common for graduates to combine work with part-time study, or take on internships and further qualifications that fast-track them into leadership roles.