This degree gives you a powerful mix of mathematics, statistics, and computing skills—so you’ll be ready to take on real-world data challenges with confidence. From day one, you’ll get hands-on experience with the tools and techniques that today’s industries rely on. It’s a great choice if you’re ambitious, enjoy problem-solving, and want to explore coding, data modelling, and analysis to launch an exciting career in the fast-growing fields of data science and analytics.
Curriculum Structure
Year 1
Your first year sets the foundations. You’ll build a strong base in mathematics and statistics through topics like calculus, geometry, analysis, and probability theory. In computer science, you’ll explore how machines, languages, and computation work, while also learning the essentials of programming—your first step into coding.
Year 2
In your second year, you’ll dive deeper. Mathematics and statistics continue to grow in scope, while new modules introduce you to information systems, logic, algorithms, and user and data modelling. Together, these sharpen your ability to understand how systems process and make sense of data.
Years 3 & 4
In your final years, you’ll get to specialise. You can choose from advanced topics such as experimental design, risk analysis, survey methods, dynamic modelling, network analysis, artificial intelligence, software engineering, and data mining. You’ll also work on a major final-year project, often solving real challenges faced by industry or government—putting your skills into practice.
Focus Areas
Strong grounding in mathematics and statistics
Coding and algorithm design
Data modelling and systems thinking
Advanced options like AI, network analysis, software engineering, and real-world data mining
A capstone project that brings it all together
Learning Outcomes
By the time you graduate, you’ll be able to:
Code confidently in industry-standard languages
Apply mathematical and statistical methods to real-world data
Model and analyse complex systems
Design, manage, and deliver data-driven projects that lead to actionable insights and solutions
Professional Alignment
Graduates may be eligible for GradStat status, a professional recognition in statistics. This extra credential strengthens your profile and signals your expertise to employers.
Reputation & Employability
The University of Strathclyde has twice been named Times Higher Education University of the Year (2012 and 2019), underlining its strong academic reputation and real-world impact. According to the Complete University Guide 2026, this course ranks 6th in its subject area and 38th overall in the UK.
Strathclyde graduates in computing-related fields enjoy excellent career outcomes, with average earnings of around £32,000 within 15 months, rising to £34,000 after three years—a clear sign of strong employability.
When you join the BSc (Hons) Data Analytics at Strathclyde, you’re stepping into a learning experience that’s as practical as it is academic. It’s not just about lectures—you’ll be building skills you can take straight into the workplace. From day one, you’ll get hands-on with coding, industry-standard software, and real problems that businesses and organisations are facing right now. Supported by the Departments of Mathematics & Statistics and Computer & Information Sciences, you’ll also enjoy modern teaching spaces, excellent computing facilities, and even a dedicated undergraduate common room—a lively hub where study and social life come together.
Here’s how that practical learning takes shape:
Data Analysis Software
You won’t just learn theory—you’ll actively use the same data analysis tools that professionals rely on every day. That means you’ll graduate with skills that give you a head start in your career.
Programming Skills
Coding is at the heart of data analytics, and you’ll be learning industry-recognised languages from the very beginning. By the time you graduate, writing code to solve problems will feel second nature.
Real-Life Problem Projects
Your projects won’t be hypothetical—they’ll often be linked to real businesses and government organisations. This gives you a taste of the kind of data-driven challenges you’ll face in your career and shows employers that you’ve already worked on meaningful, real-world tasks.
Modern Teaching Spaces & Computing Equipment
Strathclyde makes sure you’re learning in an environment designed for the digital age, with access to cutting-edge software and computing setups that reflect what’s used in the industry.
Undergraduate Common Room
It’s not all labs and lectures—your dedicated common room gives you a welcoming place to collaborate, share ideas, or simply relax with fellow students. It’s where a lot of the best learning (and friendships) happen outside the classroom.
University Career Services
At Strathclyde, you won’t just be left to figure things out on your own once you graduate. The Careers Service is there for you throughout your degree and even up to five years afterwards. Whether it’s setting career goals, refining your applications, or connecting with potential employers, you’ll always have personalised support at hand.
Employment Statistics & Salaries
Strathclyde graduates are in high demand—about 92% are either employed or continuing their studies within six months of finishing their degree. For Data Analytics graduates, starting salaries are strong, typically between £27,000 and £30,000 per year (around INR 29.7 to 33 lakh), giving you a solid foundation right from the start of your career.
University–Industry Partnerships
This isn’t just a degree based in theory—you’ll have opportunities to work directly on projects with businesses and government organisations. These experiences let you apply your skills in real-world situations, making you much more career-ready. Plus, the departments teaching the course—Mathematics & Statistics and Computer & Information Sciences—have close links with industry and government bodies, so you’ll be learning from academics who are actively shaping the field.
Accreditation Value
Completing this programme can also make you eligible for GradStat status, a professional accreditation that adds real weight to your CV and sets you apart in statistics and analytics roles.
Graduation Outcomes
By the time you graduate, you’ll be equipped with in-demand skills in data analytics, programming, and statistical modelling. These open doors to exciting careers in technology, finance, social media, retail, public services, and beyond. Employers are actively seeking graduates with this blend of expertise—so you’ll be stepping into a future full of possibilities.
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.