MSc Managing AI in Business

Reimagine Everything®. Lead the AI Era. Responsibly.

The MSc Managing AI in Business is designed for the next generation of ethically grounded, strategically minded leaders ready to navigate the rapid integration of artificial intelligence across global business sectors. Delivered by Robert Kennedy College in exclusive partnership with the University of Salford, this programme equips you not only with technical fluency in AI, but with the ethical insight, strategic agility, and sustainability mindset to lead AI-enabled transformation in multinationals and SMEs alike.

AI is rapidly redefining organisational structures, customer engagement, and our shared socio-environmental responsibilities. This programme addresses the intersection of responsible AI practice, transformative business strategy, foundational digital literacy, and sustainability governance. Through theoretical exploration and practical case studies, you'll develop the capability to assess organisational readiness, design AI integration strategies, communicate AI's impact to diverse stakeholders, and align emerging technologies with circular economy goals.

Swiss Quality. Since 1998. British Excellence. Future-Ready Leadership.

This programme combines the excellence of Swiss-quality online education with the prestige of a British degree from the University of Salford. For over two decades, Robert Kennedy College has been at the forefront of online education, while Salford Business School's research-led approach to digital business and AI ensures you graduate with a globally recognised and respected qualification at the cutting edge of business transformation.

Why This Programme?

  • Strategic, Not Just Technical: Develop the business strategy, leadership, and governance perspective to lead AI adoption — beyond the algorithms
  • Ethics and Responsibility at the Core: AI bias, trust, regulation, and the democratic implications of AI systems are embedded throughout the curriculum
  • Real-World Case Studies: Apply foundational AI concepts — machine learning, NLP, automation — to authentic scenarios in SMEs and multinationals
  • Sustainability Built In: ESG strategy, the Triple Bottom Line, the Circular Economy, and UN SDG principles woven into every module
  • Flexible Online Learning: Study 100% online via OnlineCampus — six intakes per year, complete in 12 months to 6 years

Your MSc Managing AI in Business degree is:

  • Recognised worldwide by employers and industry leaders
  • Awarded directly by the University of Salford
  • Identical to degrees earned on campus
  • Fully recognised by the UK government

Career Outcomes

Graduates are prepared for roles such as:

  • AI Integration Strategist
  • Digital Transformation Consultant
  • AI Ethics & Governance Advisor
  • Innovation Manager
  • ESG & Sustainability Strategist
  • Technology Policy Advisor
  • Enterprise Strategy Consultant
  • Organisational Change Leader
Duration

12 months to 3 years

Delivery Method

100% online via OnlineCampus (an interactive online learning environment) with intensive class discussion and collaboration.

Terms

We offer rolling admissions throughout the year. Register at any time and begin your learning journey immediately.

Tuition Fees

CHF 525 per month for 24 months (total CHF 12,600). This covers everything: tuition, online study materials, and University fees.

Dean's Bursaries and early-payment reductions available. Full details and currency options are listed on our Tuition Plans & Rates page.

Programme not eligible for UK Government student finance.

Explore Tuition Plans & Rates in Your Currency

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Admission Requirements

We welcome applications from students who may not meet the formal entry criteria but who have relevant experience or the ability to pursue the course successfully.

The formal entry requirements are:

  • A minimum of a second class honours degree or equivalent
  • Or a recognised professional qualification in a related discipline
  • English language at IELTS 6.5 (minimum of 5.5 in each component)

Applications are considered from candidates who do not meet the formal entry requirements but can provide evidence of equivalence.

Examples of equivalence are:

  • A wide range of professional qualifications and/or work experience
  • Working or studying in English or an English-speaking environment

Programme Outline

Introductory

Not-for-credit

  • Induction

This is the first module of the programme which gives an orientation to the course and the online learning style. It does not carry credits, and students are encouraged to go through the material in this module at their own pace and get accustomed to the online medium.

The MSc Managing AI in Business consists of 180 credits delivered through five modules:

Stage 1: Taught Modules (120 credits)

  • Module 1: AI in Practice (30 credits)
  • Module 2: AI and Business Transformation (30 credits)
  • Module 3: Principles of AI (30 credits)
  • Module 4: Sustainable Business and Responsible Technology (30 credits)

Stage 2: International Dissertation (60 credits)

Module 5: International Dissertation (60 credits)

Module Descriptions

Module 1: AI in Practice (30 credits)

  • Human-centric AI through societal, philosophical, and historical lenses
  • Evaluating AI platforms, regulatory frameworks, and ethical considerations
  • The role of AI in workplace decision-making and employee wellbeing
  • Real-world case studies in AI implementation challenges
  • Foundations for technology consulting, AI advisory, and policy roles

Module 2: AI and Business Transformation (30 credits)

  • Foundational concepts: machine learning, natural language processing, automation
  • AI applied to real-world cases in SMEs and multinationals
  • Strategic frameworks for AI adoption and digital mindset
  • Leadership, culture, and managing resistance to AI integration
  • Comparative analysis of global AI practices and ethical considerations

Module 3: Principles of AI (30 credits)

  • The AI ecosystem: infrastructure, software platforms, and business applications
  • Origins of AI: philosophy of mind, Turing's legacy, symbolic reasoning
  • Neural networks, machine learning, and emerging AI architectures
  • Bias, trust, and the democratic implications of AI systems
  • Communicating complex AI concepts to diverse audiences

Module 4: Sustainable Business and Responsible Technology (30 credits)

  • Sustainability frameworks: Triple Bottom Line and Circular Economy
  • Embedding the UN Sustainable Development Goals into digital strategy
  • Systemic thinking and stakeholder analysis
  • Ethical leadership and responsible technology adoption
  • Pathways to ESG strategy, sustainability consultancy, and AI governance

Module 5: International Dissertation (60 credits)

  • Independent, business-focused research project
  • Application of AI knowledge to a strategic business challenge
  • Synthesis of AI strategy, ethics, and sustainability gained throughout the programme
  • Research methods, critical thinking, and evidence-based decision-making
  • Final dissertation demonstrating academic rigour and practical relevance