Engineering
BEng (Hons) Aviation Engineering
Kingston University, United Kingdom
- Degree
- Bachelor's
- Next intake
- 2027
Engineering
Kingston University, United Kingdom
The MSc AI for Business and Innovation at Kingston University is a future-focused course. It enables you to move beyond understanding artificial intelligence, to working with it as a collaborative partner, generating insight, innovation and meaningful value. This is not a technical course.
Faculty: Kingston Business School | Department: School of Business and Economics | Duration: 1 year | Study mode: full-time | Intake: September 2027 | Location: Kingston upon Thames, England, United Kingdom
This course combines strategic insight, practical skills and responsible innovation, to prepare you to lead AI-enabled change in organisations and industries. As part of the Adobe Creative Campus, you will use industry-led creative AI technologies to develop and communicate ideas with clarity and impact across text, image, video, presentations, and other multimodal formats. MSc modules - core modules for msc: AI Foresight and Digital Transformation, AI Governance, Ethics and People, AI Literacy and Prompt Engineering, AI-driven Design Thinking and Entrepreneurship, AI Innovation Lab: Industry or Research Project; professional placement year (optional for msc): Professional Placement.
This MSc is grounded in Kingston’s Future Skills Framework, preparing you to thrive in an AI-augmented world: ; Creative problem solving ; Digital fluency and AI literacy ; Enterprise and innovation mindset ; Ethical reasoning and responsibility ; Adaptability and resilience ; Collaboration and empathy You will graduate prepared for emerging roles such as: ; AI Product/Innovation Manager ; AI-Powered Business Consultant ; AI-Enabled Entrepreneur ; AI Ethics Officer ; AI Customer Experience Specialist ; AI Knowledge / Prompt Engineer ; AI Transformation Specialist These roles require the ability to: ; Work across business, technology, and human contexts ; Create value through AI-enabled insight and innovation ; Collaborate effectively with intelligent systems and diverse teams These hybrid roles are rapidly growing across industries. This course is designed for a world in which AI is not simply adopted, but embedded into the way organisations think, create, decide, and evolve.
Typical offer: The typical offer for this course is a 2:2 or higher in a relevant discipline. Candidates with non-standard qualifications but with relevant experience are welcome to apply. Entry onto this course does not require an interview, entrance test, audition or portfolio. English language: Academic IELTS of 6.5 overall with no element below 6.0.
Domestic applicants: GBP 9,000 a year (2026/27). Home (UK) PGDip full-time tuition fee Source
International applicants: GBP 13,133 a year (2026/27). International PGDip full-time tuition fee Source
Intake: September 2027
Duration: 1 year
Apply through the official page: https://osis.kingston.ac.uk/urd/sits.urd/run/siw_ipp_lgn.login?process=siw_ipp_app&code1=PFABI1ABI40BD01&code2=0101
Engineering
Kingston University, United Kingdom
Engineering
Kingston University, United Kingdom
Engineering
Kingston University, United Kingdom
Engineering
Kingston University, United Kingdom
Engineering
Kingston University, United Kingdom
Engineering
Kingston University, United Kingdom
Engineering
Kingston University, United Kingdom
Engineering
Kingston University, United Kingdom
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