MSc Artificial Intelligence for Business and Innovation

12 Months On Campus Masters Program

Regents University London

Program Overview

The MSc Artificial Intelligence for Business and Innovation at Regent's University London prepares students to harness the power of artificial intelligence to drive innovation, improve decision-making and transform organisations in today's digital economy. Designed for graduates from both technical and non-technical backgrounds, the programme combines AI technologies with business strategy, data analytics, innovation and digital transformation, equipping students with the skills to develop intelligent solutions for complex business challenges.

Curriculum Structure

Term 1

Students establish a strong foundation in artificial intelligence and business through modules including Artificial Intelligence Fundamentals, Data Analytics for Business, and Innovation and Digital Transformation. They explore the core principles of AI, data-driven decision-making and emerging technologies while developing an understanding of how organisations leverage AI to improve efficiency and create competitive advantage.

Term 2

The second term focuses on the practical application of AI through Machine Learning for Business, AI Strategy and Ethics, and Business Intelligence and Decision Making. Students learn how organisations implement AI solutions, analyse business data, address ethical and governance challenges, and develop strategic AI initiatives that support sustainable innovation.

Term 3

In the final stage, students apply their knowledge through Research Methods, a substantial Business Consultancy Project or Dissertation, and practical AI innovation challenges. Working on real business problems, they develop advanced research, analytical and consultancy skills while designing evidence-based AI solutions that support organisational growth and digital transformation.

Focus Areas (in a string)

Artificial Intelligence, Machine Learning, Business Analytics, Data Analytics, Business Intelligence, Digital Transformation, Innovation Management, AI Strategy, Ethical AI, Decision Making, Business Strategy, Emerging Technologies, Automation, Digital Innovation.

Learning Outcomes (in a string)

Apply artificial intelligence to solve business challenges, analyse complex business data, develop machine learning solutions, formulate AI strategies, evaluate ethical and governance issues in AI, support digital transformation initiatives, conduct business research, communicate AI insights effectively, lead innovation projects and implement data-driven business solutions.

Professional Alignment (Accreditation)

The programme is accredited by the Chartered Management Institute (CMI), enabling eligible students to graduate with both a Regent's University London master's degree and a CMI Level 7 Certificate in Strategic Management and Leadership Practice, enhancing professional recognition and leadership credentials.

Reputation (Employability Rankings)

Students benefit from studying at Regent's University London, recognised for its strong industry connections, personalised teaching and central London location. The programme offers opportunities to participate in Continuous Development Workshops, collaborate with industry partners through consultancy projects and AI-focused business challenges, and build professional networks with global organisations, strengthening graduate employability.

Experiential Learning (Research, Projects, Internships etc.)

The MSc Artificial Intelligence for Business and Innovation combines academic learning with practical industry engagement to help students develop the technical, analytical and strategic skills needed to implement artificial intelligence solutions in modern organisations. Throughout the programme, students work on real business challenges, collaborate with industry professionals, develop AI-driven solutions through consultancy projects and gain practical experience in data analytics, machine learning and digital innovation. Studying in central London also provides opportunities to connect with global organisations and apply classroom knowledge to real-world AI and business transformation projects.

Students strengthen their practical skills through the following experiences:

  • Participate in Continuous Development Workshops designed to enhance leadership, employability, communication and professional AI and business skills.
  • Apply to join the Luxury Lab Consultancy Series, working in multidisciplinary teams to solve real business challenges for leading organisations such as Estée Lauder Companies, Laurent-Perrier and Fortnum & Mason.
  • Complete a Business Consultancy Project or Dissertation in the final term, researching and proposing AI-driven solutions for real organisational challenges.
  • Take part in live business briefs, bootcamps and creative laboratories commissioned and evaluated by industry partners seeking innovative artificial intelligence and digital transformation solutions.
  • Gain access to industry placements, enabling students to build practical workplace experience within artificial intelligence, business analytics, digital transformation and consulting environments.
  • Learn from guest speakers and industry professionals, benefiting from Regent's extensive network of AI specialists, technology leaders, entrepreneurs and business executives.
  • Develop global teamwork skills through collaborative projects with students representing 130+ nationalities, reflecting the international nature of AI-enabled business innovation.
  • Study a business-critical foreign language alongside the programme to strengthen international communication and cross-cultural business capabilities.
  • Use Blackboard, Regent's virtual learning environment, to access learning resources, collaborate on group projects, submit coursework and receive academic feedback.
  • Access the Regent's Library, offering specialist business, technology and artificial intelligence databases, academic journals, digital resources, collaborative study areas and individual learning spaces to support AI research and consultancy work.
  • Benefit from small class sizes that encourage personalised mentoring, interactive discussions and close collaboration with academic staff and experienced industry practitioners.

Progression & Future Opportunities

Graduates of the MSc Artificial Intelligence for Business and Innovation leave Regent's with the technical, analytical and strategic skills needed to drive AI-powered innovation across a wide range of industries. The programme prepares students for careers in technology companies, consulting firms, financial services, healthcare, retail and multinational organisations, with graduates pursuing roles such as AI Business Consultant, Business Intelligence Analyst, AI Product Manager, and Digital Transformation Manager.

Students receive extensive career support and professional development through the following opportunities:

  • Dedicated Careers, Enterprise & Industry Team offering personalised career consultations, CV and cover letter reviews, interview coaching, assessment centre preparation, LinkedIn optimisation and business start-up advice.
  • Access to Handshake, connecting students with 650,000+ global employers, alongside exclusive internships, graduate vacancies, networking opportunities and employer events.
  • Opportunity to participate in industry masterclasses, seminars, networking events and employer meet-ups, where students connect directly with recruiters, AI specialists, technology professionals and business leaders.
  • Support for consultancy projects, internships and graduate applications, with tailored guidance based on students' career aspirations within artificial intelligence, digital transformation, business analytics and consulting.
  • Students interested in entrepreneurship can develop new ventures through The Hive, Regent's enterprise and business incubation initiative, with mentoring, networking and start-up support.
  • The programme is accredited by the Chartered Management Institute (CMI). Eligible students can gain the CMI Level 7 Diploma in Strategic Management and Leadership Practice, helping accelerate progression towards Chartered Manager (CMgr) status.
  • CMI membership provides access to professional mentoring, Continuing Professional Development (CPD) activities, specialist career advisers, networking events and extensive leadership resources, adding long-term value to graduates' careers.
  • Graduates develop transferable skills in artificial intelligence, machine learning, business analytics, data-driven decision-making, innovation management, digital transformation, strategic leadership and problem-solving, enabling careers in AI consulting, business intelligence, product management, innovation leadership and entrepreneurship.
  • Regent's global alumni network and strong employer connections across London's international business and technology community help graduates build professional relationships and access worldwide career opportunities.
  • Graduates may also be eligible to apply for the UK Graduate visa, allowing them to work or look for work in the UK after completing their studies, subject to current UK immigration regulations.

Further Academic Progression:

After completing the MSc Artificial Intelligence for Business and Innovation, graduates can pursue doctoral studies such as a PhD or DBA (Doctor of Business Administration) in Artificial Intelligence, Data Science, Business Analytics, Digital Innovation, Management or Information Systems. They may also continue their professional development through advanced leadership qualifications, Chartered Manager (CMgr) status via the CMI, or specialist certifications in Machine Learning, Cloud AI, Data Analytics, Generative AI, Business Intelligence and AI Project Management to further strengthen their global career prospects.

Program Key Stats

£28,750 (Annual Fees)
£28,750
Sept Intake : 15th Oct


Eligibility Criteria

2.5
4 Years

N/A
N/A
N/A
6.5
88
2:2
NA
NA
70 - 80
No

Additional Information & Requirements

Country Requirements

Career Options

  • AI Consultant
  • Artificial Intelligence Specialist
  • Machine Learning Engineer
  • Data Scientist
  • Business Intelligence Analyst
  • AI Product Manager
  • Digital Transformation Consultant
  • Innovation Manager
  • Business Analyst
  • Data Engineer
  • Automation Consultant
  • AI Solutions Architect
  • Analytics Consultant
  • Technology Strategy Consultant
  • Entrepreneur

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