Artificial Intelligence BSc (Hons) top-up
Coventry, United Kingdom
BSc
DURATION
1 year
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
Sep 2025
STUDY FORMAT
On-Campus
Key Summary
Artificial intelligence (AI) is changing the world. If you can see your future self working in this area, this course aims to equip you with the knowledge and skills needed to help drive the ongoing digital revolution.
Course overview
You will take specialist modules in arguably two of the most important emerging topics of computer science: artificial intelligence and security.
These are supplemented by an individual project in artificial intelligence, under the supervision of an academic member of staff.
- Master the practical skills and theoretical knowledge you need to develop AI-enhanced software solutions, which address demanding user expectations and complex customer requirements.
- Explore the areas of artificial intelligence and security, and learn how they continue to drive major changes in the domain of computer science.
- Learn the technical skills needed for a career in the computing industry. Upon successful completion, you may consider roles related to AI including AI expert, machine learning modeller, data scientist, human factor designer, Internet of Things programmer, or developer of autonomous cars.
Why you should study this course
You will benefit from:
- opportunities to participate in field trips and Collaborative Online International Learning (COIL) projects, allowing you to interact online with students from other universities abroad2
- novel and engaging learning approaches that places you at the centre of your learning, such as flipped classrooms, interactive e-learning technology and research-inspired teaching
- guest speakers from industry professionals (subject to availability) to discuss their experience and offer advice on employability
- access to industry-standard facilities in the modern Sir Frank Whittle and Beatrice Shilling buildings.
You will take specialist modules in two of the most important emerging topics of computer science: artificial intelligence and security. These are supplemented by an individual project in artificial intelligence, under the supervision of an academic member of staff. Through your studies you should also develop important course-level transferable skills including both group and individual work, time management, written and verbal presentation to both experts and non-experts, and critical reflection of your own and others’ work.
Modules
- Security
- Machine Learning and Related Applications
- Project Management
- Intelligent Agents
- Artificial Neural Networks
- Individual Project in Artificial Intelligence
We regularly review our course content, to make it relevant and current for the benefit of our students. For these reasons, course modules may be updated.
Upon successful completion of this course, you should be able to:
- demonstrate knowledge, understanding and critical analyse of key areas of artificial intelligence and security
- demonstrate the ability to identify, define and critically evaluate problems/scenarios, design and/or develop complex and secure systems solutions using
- appropriately justified tools and approaches
- critically apply the essential concepts, principles, and practices of the subject to less well-defined scenarios
- demonstrate professional skills, the ability to communicate technical information to non-technical audiences, document each stage of a project, plan, manage and organise your work both as an individual and as a team member, with minimum guidance
- demonstrate the ability to contribute to AI projects by applying appropriate professional practices of criticality, innovation, creativity, economics, legal, social, ethical, environmental, sustainability, health and safety, entrepreneurial and commercial considerations
- identify mechanisms to critically evaluate and review both your own work and others, and opportunities for continuing professional development and lifelong learning.
Where our graduates work
Career destinations for the successful graduates of this course could include machine learning, data science and software development domains. You may also opt to continue your studies at postgraduate level.