This Data Science BSc (Hons) at NTU is designed to equip you with the skills to make sense of vast, complex datasets. From predictive modeling to AI solutions, you’ll learn how to turn raw data into actionable insights. The course blends strong foundations in computing and statistics with hands-on experience, making it ideal for students who enjoy both numbers and coding—and who want to transform data into meaningful, real-world decisions.
Curriculum Structure
Year 1
In your first year, you’ll get to grips with the essentials: Mathematical Methods, Introduction to Numerical Methods, Data Analysis, Foundations of Computing Technology and Programming, and Computer Science Programming (each worth 20 credits). You’ll build a strong foundation in mathematics, statistics, and programming, learning to work with tools like Python and software for analyzing and visualizing data. By the end of this year, you’ll be ready to tackle data in a computational and practical way.
Year 2
The second year raises the bar with modules including Probability and Statistical Inference, Linear Algebra and its Applications, Discrete Mathematics & Complexity, Problem Solving, and Systems Software (all 20 credits each). You’ll dive deeper into modeling uncertainty, algebraic structures, computational complexity, and the software systems that underpin data processes. These skills will help you analyze data rigorously and create efficient algorithmic solutions.
Year 3
In your final year—or during a sandwich placement year if you choose the four-year route—you’ll tackle real-world data challenges. A major Project module (40 credits) allows you to explore a topic you’re passionate about, applying AI, machine learning, databases, or analytics. Optional modules include Foundations of Artificial Intelligence & Machine Learning, Data Analytics Techniques & Programming, Information & Database Engineering, Distributed Database Engineering, and Business Intelligence & Data Analytics. By the end of the year, you’ll have hands-on experience solving complex problems, whether building intelligent systems, managing large datasets, or turning insights into actionable business decisions.
Focus Areas
Mathematics & Statistics
Programming & Computational Thinking
AI Techniques & Machine Learning
Data Analytics
Practical Project Work
Learning Outcomes
By the end of the course, you’ll have:
Strong expertise in mathematical and statistical modeling
Advanced skills in programming and AI methods
Knowledge of database engineering and analytics tools
Real-world project experience
Professional skills in project management and communication
Professional Alignment (Accreditation)
While NTU’s Computer Science degrees are accredited by BCS (for CITP and CEng), the Data Science BSc (Hons) focuses on industry-ready skills, including software tools, project work, and placement experience. This ensures your learning is closely aligned with professional expectations.
Reputation & Employability
NTU graduates from computer science-related courses, including Data Science, have strong career outcomes: 88% are employed or studying further within 15 months, earning an average of around £30,000. NTU has a Gold rating in the Teaching Excellence Framework (TEF) and has been recognized as University of the Year by The Guardian (2019) and Modern University of the Year by THE (2022).
From day one, you’ll dive straight into hands-on learning. NTU’s programme isn’t just about theory—you’ll work directly with real datasets, use industry-standard tools, and experience the kind of projects that data scientists tackle in the workplace. The school emphasizes applying computational intelligence in practical settings, so every step of your studies builds skills you can actually use.
Experiential learning components include:
Industry placements (sandwich year) and employer connections
You can opt for a four-year sandwich route that includes a paid placement year, giving you invaluable workplace experience—and often leading to job offers. NTU’s Placements Office is there to guide you every step of the way. Previous Data Science students have interned at companies like L’Oréal, IBM, and Mercedes, taking on roles such as Business Analyst, IT Intern, or Demand & Forecasting Assistant.
Specialist facilities at ISTeC
Your learning takes place in NTU’s purpose-built ISTeC building, which houses specialist Data Science teaching facilities and even a 3D imagery lab—perfect for immersive, technology-driven study.
Group projects & professional development
Modules like Problem Solving give you the chance to work in small, inter-disciplinary teams, taking on roles such as data analyst, chief executive, or financial analyst, and crafting real business proposals—just like in the workplace. Meanwhile, the Practical Project Management & Professional Development module helps you sharpen skills in project planning, team coordination, presentations, and preparing your CV and interview techniques.
Virtual Learning Environment (NOW)
NTU’s online platform, NTU On-line Workspace (NOW), gives you access to module materials, datasets, demos, programs, and announcements—so you can learn anytime, anywhere.
Expert teaching & support structure
You’ll have access to a wide network of support. Personal Tutors, Year Tutors, Module Leaders, and Course Managers guide you academically, while placement and employability tutors help you plan your career steps. Visiting tutors mentor you during placements, providing real-world insights.
Study abroad and international placements
You’ll have the option to study or work overseas, enhancing your employability, cultural awareness, and global network.
Outstanding School of Science & Technology environment
As part of NTU’s School of Science & Technology, you’ll study in a modern, inspiring, and industry-aligned setting, with access to excellent teaching spaces and practical tools that make learning both exciting and relevant.
Graduates of the Data Science BSc (Hons) at Nottingham Trent University often go on to build rewarding careers across a variety of industries. Many take on roles where they can use their analytical skills to make real business impact. Popular career paths include Data Analyst, Business Intelligence Specialist, Machine Learning Engineer, and Data Consultant.
Here’s why this degree gives you a strong start:
University support for your career: Through modules such as Academic and Professional Development and Practical Project Management and Professional Development, you’ll get practical guidance on preparing your CV, succeeding in selection assessments, and landing placements or graduate roles.
Employment stats & salary: While this program is relatively new, NTU graduates in Computer Science typically earn around £30,000 fifteen months after graduating, with salaries rising to about £35,000 within five years. Data from similar maths-related programmes suggests that Data Science BSc (Hons) graduates earn a median salary of around £27,000 fifteen months post-graduation.
Connections with industry: NTU has strong links with thousands of businesses—including big names like Microsoft, Toyota, Boots, Experian, and Rolls-Royce. These connections feed directly into placements, project work, and recruitment opportunities.
Quality and accreditation: NTU has been awarded Gold in the Teaching Excellence Framework (TEF), highlighting the university’s high standards of teaching and the preparedness of its graduates.
Graduation outcomes: NTU graduates are highly employable. Around 88% of Computer Science graduates are in work or further study within 15 months, and 80% are in highly skilled roles, including IT professions and science and engineering associate positions.
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