MSc Business Analytics and Artificial Intelligence

Reimagine Everything®. Transform Data into Strategic Advantage.

This cutting-edge programme is designed for forward-thinking professionals ready to harness the power of analytics and artificial intelligence in business. Delivered by Robert Kennedy College in exclusive partnership with the University of Lancashire, this unique MSc equips you with the skills to drive strategic decision-making, operational improvements, and innovation through data-driven insights.

The programme seamlessly blends theoretical knowledge with practical applications, featuring real-world projects and industry case studies that prepare you to implement analytic solutions to complex business challenges. You’ll learn to integrate AI into business processes while navigating the ethical, legal, and strategic dimensions of data use in today’s digital economy.

 

 

Swiss Quality. Since 1998. British Excellence. Award-Winning Innovation.

This programme combines the excellence of Swiss-quality education with the prestige of a British degree from an award-winning university. For over two decades, Robert Kennedy College has been at the forefront of online education, while the University of Lancashire’s recognition as University of the Year and the UK’s most affordable university ensures you receive exceptional value alongside academic excellence.

 

Why This Programme?

- Business-Focused Approach: Go beyond technical skills to understand strategic applications of analytics and AI in business contexts

- Real-World Applications: Engage with live projects, industry case studies, and practical scenarios

- Industry Connections: Learn from experts and business partners to enhance your professional growth

- No Dissertation Required: Complete a practical Impact Project instead of a traditional dissertation

- Flexible Online Learning: Study at your own pace with 100% online delivery

 

Your MSc Business Analytics and Artificial Intelligence degree is:

- Recognised worldwide by business and AI industry leaders

- Awarded directly by the University of Lancashire

- Identical to degrees earned on campus

- Fully recognised by the UK government

 

Career Outcomes

Graduates are prepared for roles such as:

- Business Intelligence Analyst

- AI Strategy Consultant

- Data-Driven Decision Maker

- Analytics Team Leader

- Digital Transformation Manager

- AI Implementation Specialist

- Business Analytics Manager

- Strategic Data Analyst

Duration

12 months to 2 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

Standard Programme Fee: CHF 12,600

Dean’s Bursary Now Available

Bursary value: CHF 2,700

Final Programme Fee: CHF 9,900

Flexible Payment Options

Interest-free monthly installments matched to your programme duration:

12-month programme: CHF 825 per month (12 installments)

24-month programme: CHF 412.50 per month (24 installments)

Payment plan corresponds to your chosen study timeline

This covers everything: tuition, online study materials, and University fees

Programme not eligible for UK Government student finance.

Explore Tuition Plans & Rates in Your Currency

Accreditation and Recognition

The University of Lancashire MSc programmes, offered online in exclusivepartnership with Robert Kennedy College, are recognised worldwide. Once you complete your studies at Robert Kennedy College, you will receive a degree from the University of Lancashire.

The University of Lancashire received its University title and degree awarding powers from Her Majesty’s Most Honourable Privy Council. It is fully recognised by the British Government and duly listed on the United Kingdom’s Department for Education list of recognised UK awarding institutions.

The University of Lancashire’s recent accolades include University of the Year - The Edufuturists Uprising 2023 & Most Affordable University in the UK - The Times 2023.

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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:

- An honours degree at 2:2 or above

- At least 2 years’ relevant work experience

- 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 Business Analytics and Artificial Intelligence consists of 180 credits delivered through six comprehensive modules:

Stage 1: Foundation (60 credits)

Module 1: Data and AI Ecosystem (30 credits)

Module 2: Data-Powered Decision Making (30 credits)

 

Stage 2: Advanced Application (60 credits)

Module 3: Leading with Analytics and AI (30 credits)

Module 4: Future Leaders’ Challenge (30 credits)

 

Stage 3: Professional Development (60 credits)

Module 5: Learning Without Limits (30 credits)

Module 6: Impact Project (30 credits)

Module Descriptions

Module 1: Data and AI Ecosystem (30 credits)

Understanding AI and data analytics in businesscontexts

Ethical, legal, and strategic dimensions

AI governance and compliance

Global regulations and frameworks

Sustainable AI implementation

 

Module 2: Data-Powered Decision Making (30 credits)

Big data management

Business intelligence fundamentals

Data modeling and cleaning

Industry-specific AI applications

Regulatory compliance in data use

 

Module 3: Leading with Analytics and AI (30 credits)

Strategic decision-making with AI

Predictive analytics and modeling

Tools: Power BI, Tableau, Orange Data Mining

AI governance aligned with aCAP Domain 6

Risk management and ethical deployment

 

Module 4: Future Leaders’ Challenge (30 credits)

Real-world business challenges

Team-based problem solving

Strategic thinking and innovation

Digital transformation planning

Global case studies

 

Module 5: Learning Without Limits (30 credits)

Personal and professional growth analysis

Industry trend identification

Skills mapping and reflection

Personal branding and networking

Digital portfolio development

 

Module 6: Impact Project (30 credits)

Self-directed consultancy project

No traditional dissertation required

Applied research methods

Real-world business challenge

Career-focused outcomes