Enter OTP
The Data Science BSc (Hons) at Edinburgh Napier University is designed to give you the skills that modern employers are looking for—data analytics, programming, and statistical modeling. You’ll learn how to turn raw numbers into clear insights that shape smarter decisions across industries. If you’re someone who enjoys problem-solving, working with technology, and making sense of patterns, this course is a great fit.
Curriculum Structure
Year 1
Your journey begins with the fundamentals. You’ll get comfortable with programming and mathematics, taking modules like Programming Fundamentals and Mathematics for Computing. Alongside building these core skills, you’ll start to see how data isn’t just numbers—it’s a powerful tool that drives decision-making in business and society.
Year 2
In your second year, you’ll start applying what you’ve learned to bigger challenges. Through modules such as Databases and Web Technologies and Statistical Methods for Learning, you’ll learn how to design data systems, apply statistical techniques, and uncover meaningful patterns in information. You’ll also sharpen your ability to visualize and explain data clearly—skills that employers value highly.
Year 3
This is where it all comes together. You’ll explore advanced topics like Machine Learning and Big Data and Analytics, gaining experience with cutting-edge tools used in industry today. At the same time, you’ll take on a major Final Year Project, solving a real data problem from start to finish. It’s your chance to showcase independence, creativity, and the full range of skills you’ve developed.
What you’ll focus on
Programming and coding solutions
Database design and querying
Statistical modeling and analysis
Machine learning techniques
Big data and large-scale analytics
Data visualization and communication
What you’ll gain
By the end of the degree, you’ll be able to:
Write and adapt code to solve data-driven problems
Build and manage databases
Apply statistical methods to real datasets
Design and evaluate machine learning models
Work confidently with large, complex datasets
Translate technical insights into clear, actionable advice
Professional alignment
Edinburgh Napier’s computing and data science degrees are designed with industry in mind, aligning with the skills and professional standards employers expect. While the exact accrediting body can vary by program, the focus is always on preparing you for a professional career in data and technology.
Reputation and employability
Edinburgh Napier has a strong track record in graduate employment, especially in computing and business fields. Students benefit from practical teaching, industry-relevant projects, and strong employer links. Many graduates go on to work in roles such as data analysis, software development, finance, and technology consulting—fields where demand for skilled data professionals continues to grow.
When you join the BSc (Hons) Data Science at Edinburgh Napier, you won’t just sit in lectures—you’ll jump straight into practical, hands-on learning. From your very first year, you’ll be working with the tools and technologies that shape today’s data-driven world. Whether it’s coding, statistical modelling, machine learning, or data analytics, you’ll be using industry-standard software in creative, collaborative spaces designed to help you learn by doing.
Here’s what experiential learning looks like at Edinburgh Napier for this programme:
Specialist computing labs
You’ll have access to CodeLab for high-performance computing projects, plus two digital media labs with both Macs and PCs—giving you the right environment to test, code, and create.
Campus facilities
Your home base is Merchiston Campus, where you’ll find the Jack Kilby Computing Centre. Open 24/7, it’s perfect for late-night problem solving, group brainstorming, or squeezing in some extra practice before a deadline.
Advanced IT resources
Across the university, you’ll have more than 1,600 PCs and 200 Macs at your fingertips, along with a wide range of academic and professional software to support your coursework and projects.
Wide-ranging modules
Your learning is grounded in practical, career-focused modules—covering everything from data management and coding to statistical methods, data analytics, machine learning, and artificial intelligence.
Placement opportunities
While placements may not always be specific to Data Science, Edinburgh Napier offers plenty of opportunities across computing subjects. These placements give you the chance to apply your classroom knowledge in real-world workplaces.
Institutional support & expert connections
You’ll benefit from Edinburgh Napier’s strong links with research centres, industry partners, and knowledge transfer networks—giving you extra opportunities to connect, collaborate, and build your future.
Graduates of our BSc (Hons) in Data Science are prepared to step confidently into careers such as Data Analyst, Business Intelligence Developer, Machine Learning Engineer, or Data Consultant. Because the program is designed with a strong focus on practical learning and industry-relevant skills, you won’t just be ready for the job market—you’ll be able to make an impact from day one.
Future Progression & Opportunities
University support services
You’ll have access to dedicated employability support throughout your studies, including one-to-one career guidance, workshops, and opportunities to connect with professionals through our Industry Advisory Boards. This ensures you’re not only prepared for your first role but also supported in shaping your long-term career path.
Employment stats & salary figures
While specific figures for Data Science graduates aren’t available, Edinburgh Napier University boasts a strong graduate employability record: 76% of students move directly into graduate-level jobs, with 97% achieving positive outcomes overall. Entry-level salaries in data science roles in the UK are highly competitive and align well with the skills you’ll gain through this program.
University–industry partnerships
The course is led by industry experts and includes built-in work experience, giving you direct exposure to real-world challenges. The School of Computing, Engineering and the Built Environment also collaborates closely with industry partners on projects in areas like data analytics and visualisation—ensuring your learning is firmly grounded in what employers are looking for.
Long-term accreditation value
Through strong links with industry and active advisory boards, the curriculum is continually updated to reflect current professional standards. That means your degree will stay relevant and respected long after you graduate.
Graduation outcomes
By the time you finish, you’ll have more than just academic knowledge—you’ll leave with practical experience, industry connections, and a skill set that employers are actively seeking.
For US Applicants: You’re eligible to apply with a High School GPA of 2.8+ plus either an SAT ≥1000 (min 500 per section), ACT ≥19, or three AP tests at grade 4+.Applicants with an International Baccalaureate (IB) are eligible with a minimum score of 26–30 in relevant subjects.For Indian Applicants:To apply for our bachelors courses, you should have completed the Higher Secondary Certificate (HSC) with overall 60% or above in the Intermediate (10+2) (XII Standard) exam.Students with grades over 75% and above in year 12 of CBSC, ISC and State Education boards across India may be offered year 2 entry. Specific subject requirements may apply.IELTS (Academic) 6.0 overall, with no component below 5.5TOEFL Internet Based Test 80 overall with a minimum of 17 in listening, 18 in reading, 20 in speaking and 17 in writing.A Level BCC to include Maths (or Statistics) or Physics.International Baccalaureate Diploma: Award of Diploma with 28 points overall with three HL subjects at grades 6, 5, 4 to include Maths or Physics at grade 5, Grade 4 in SL Maths.GCSE grade C/4 in Maths.Data ScientistData AnalystBusiness AnalystMachine Learning EngineerArtificial Intelligence EngineerData EngineerBig Data EngineerStatisticianDatabase AdministratorQuantitative AnalystRisk AnalystFinancial AnalystOperations AnalystResearch ScientistBusiness Intelligence DeveloperData ArchitectCloud Data EngineerMarketing AnalystHealthcare Data AnalystSocial Media AnalystCybersecurity AnalystFraud AnalystProduct AnalystSupply Chain Analyst
Embark on your educational journey with confidence! Our team of admission experts is here to guide you through the process. Book a free session now to receive personalized advice, assistance with applications, and insights into your dream school. Whether you're applying to college, graduate school, or specialized programs, we're here to help you succeed.
Edinburgh Napier University
