3 Years On Campus Bachelors Program
This BSc (Hons) in Artificial Intelligence and Data Science equips you with essential research, design, and programming skills to apply AI and data science methods in real-world industrial and business contexts, while also encouraging you to reflect on the ethical, legal, and environmental implications of AI. It's ideal for students who want to build practical, career-ready expertise in AI, from foundational computing concepts to advanced machine learning and cloud-based solutions.
Curriculum Structure
Year 1
In your first year, you'll build a rock-solid computing foundation. You’ll study core modules such as Computer Systems, Computer Communications, Web Development, Software Engineering Fundamentals, Problem Solving and Programming, and Mathematics for Computer Science—all tailored to give you the flexibility to specialize later and set you up for success in AI and data science.
Year 2
Second year brings more focused, advanced topics. You’ll explore Data Structures and Algorithms, Relational Databases, Cloud Computing and Big Data, and Introduction to Artificial Intelligence. You’ll also work as part of a small design team on a Group Project, where you'll craft an innovative AI solution to tackle a real-world challenge.
Year 3
Your final year lifts your AI game even higher. Dive deep into Advanced AI and Applications, Natural Language Processing, Modern Databases, and Media Technology. You’ll also undertake a Computing Project Dissertation, giving you the chance to research and develop a specialist AI project of your choice—plus, you’ll explore building AI applications using computer vision, neural networks, and deploying them in the cloud.
Focus Areas
"AI development, data structures & algorithms, cloud computing & big data, natural language processing, modern databases, media technology, software engineering fundamentals, project-based AI solutions."
Learning Outcomes
"Gain practical proficiency in programming (Python/Java), design and deploy AI solutions, understand ethical dimensions of AI, collaborate effectively in teams on real-world problems, complete independent research via a dissertation, become proficient in AI tools, cloud technologies and advanced data modeling."
Professional Alignment (accreditation)
This programme is part of the Amazon Web Services (AWS) Academy, meaning you get access to AWS-accredited cloud computing courses that align with industry-recognised certifications—preparing you for the most in-demand roles in cloud and AI sectors.
Reputation (employability rankings)
While precise university rankings like QS or Guardian for this course aren't available, the programme impresses with strong student outcomes: 75% of graduates are in employment within 15 months, and 85% go on to work or further study. Plus, the Northampton Employment Promise ensures that if you graduate with at least a 2:2 and complete an Employability Plus Gold or Changemaker Gold award—but still haven’t secured full-time employment within 12 months—we’ll support you with a paid internship or help into postgraduate study
From day one, you’re not just learning theory—you’re applying it. You’ll have exclusive access to a state-of-the-art AI lab fitted with high-performance NVIDIA GPUs and a variety of machine learning environments, from AWS and Google to open-source platforms—perfect for deep learning, cloud computing, and real-world data science work. You’ll work both independently and in teams, building AI systems that serve real-world needs. Plus, as part of the AWS Academy, you’ll engage in cloud computing courses that prepare you for industry-recognized certifications.
Here’s how experiential learning is woven through your three years of study:
Facilities & Digital Tools
Access to a dedicated AI lab with NVIDIA GPU-equipped PCs and software platforms from AWS, Google, and open-source tools for deep learning and AI research.
AWS Academy membership—you’ll use AWS-accredited cloud computing courses to build and deploy AI in the cloud.
Laptop provision to eligible students, enabling flexibility in collaborative and solo work.
Group Projects & Collaboration
In Year 2, you’ll participate in a group project, designing bespoke AI solutions to real-world challenges—great hands-on experience working in diverse teams.
Independent Research & Dissertation
Year 3 offers you the chance to undertake an independent dissertation, diving deep into a specialist AI area that fascinates you.
Software & Programming Tools
You’ll build solid foundations using programming languages like Python and Java, essential for AI, data science, and cloud-based development.
Cloud Computing & Big Data Skills
Modules in Cloud Computing and Big Data and Introduction to AI give you practical skills in handling and analyzing large-scale datasets.
Advanced AI Applications
In later stages, you’ll explore Advanced AI and Applications, Natural Language Processing, Media Technology, Modern Databases, and techniques like computer vision and neural networks, even deploying them in the cloud.
Industry Engagement & Events
You’ll benefit from industrial events and guest lectures from AI experts worldwide—bridging the gap between academia and industry.
Waterside Campus & University Support
All this happens at the modern £330 million Waterside Campus, offering vibrant student life, small-group learning, one-to-one mentorship, and free sports clubs and societies.
Every essential textbook is available through the library, so you won’t need to buy multiple copies.
Career Support & Internships
Through the Northampton Employment Promise, if you graduate with at least a 2:2 and complete selected employability awards, the university guarantees a three–six month paid internship or support into postgraduate study if you're not in full-time employment within a year
Graduates from this programme usually secure roles like Machine Learning Software Engineer, Solution Architect, Project Manager, or Research Scientist—and 15 months post-graduation, about 85% are working and/or studying, with many in meaningful, highly skilled positions.
Now, opportunities & future progression:
University services that support employability:
The University offers the Northampton Employment Promise—if you achieve at least a 2:2 degree and complete either the Employability Plus Gold programme or the Changemaker Gold Certificate, but haven’t found full-time employment within 12 months of graduating, the university will arrange a paid internship (3–6 months) or support you into postgraduate study.
Employment stats & salary figures:
85% of computing graduates are employed or studying 15 months after graduating.
Median earnings: ~£28,000 at 15 months, rising to around £25,000 after 3 years, and £30,500 after 5 years.
Comparable metrics from University Guru show similar trends: median ≈ £30,000 at 15 months; 25–75 percentile range: £25,000–£32,000.
University–industry partnerships:
The programme is part of the Amazon Web Services (AWS) Academy, offering AWS-accredited cloud computing courses—this means you’re gaining industry-recognized certifications alongside your degree.
Long-term accreditation value:
The AWS Academy integration ensures your training is aligned with current industry standards—boosting your credentials and your appeal to employers. Plus, the Employment Promise adds real security, helping bridge the gap from study to work.
Graduation outcomes (15 months post-graduation):
50% work as Information Technology Professionals.
20% in Web and Multimedia Design roles.
5% each in Science/Engineering Associate professions, Teaching, Artistic/Literary/Media, Sales, and Elementary jobs.
Overall, 80% are in highly skilled jobs, and 85% say their work is meaningful
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