MSc Business Analytics & Artificial Intelligence

Build your data and quantitative skills with our MSc Business Analytics & Artificial Intelligence, ranked 3rd in the UK and 14th in the world*

Our MSc Business Analytics & Artificial Intelligence course is designed for ambitious graduates who want to lead, not follow. At Warwick Business School, you'll learn how to harness Artificial Intelligence (AI), analytics and emerging technologies to solve complex business challenges, influence strategy and drive innovation at scale.

The course combines academic learning with practical experience, giving you the opportunity to apply your skills to real-world business challenges. With a choice of specialist areas and practical project routes, you can shape your studies around your interests and future career ambitions.

*QS Business Masters Rankings 2027

Where could MSc Business Analytics & Artificial Intelligence take your career?

Across every industry, organisations are searching for people who can turn data into decisions, technology into opportunity and AI into competitive advantage. The challenge? There aren't enough people with the skills to do it. 

The results speak for themselves: an 84.5% employability score, almost double the global average in the QS Business Master's rankings 2027, and an average graduate salary of $71,541 (PPP adjusted)* within six months of completion. Our graduates have secured roles with organisations including Accenture, EY, JP Morgan, KPMG and Virgin Media*.

From AI and Data Science, to Consulting, Product Management, Digital Transformation and Technology Leadership, you'll graduate ready to pursue some of today's most exciting and fastest-growing careers. Our dedicated MSc CareersPlus & Employer Relations team will help you build industry connections, develop your professional skills and prepare for success in a competitive global job market.

The AI revolution has already started. Will you be ready to lead it?

*This data reflects those who participated in our MSc Employment Report survey, which averaged a 72% response rate overall.

Warwick Business School is accredited by AACSB, AMBA and EQUIS, and is proud to hold gold level Athena Swan status. Learn more about our accreditations and rankings here.

Is an MSc Business Analytics and AI right for you?

This Master's course in Business Analytics and AI could be a good fit if you want to understand how data and Artificial Intelligence can be used to solve business problems and support better decision-making.

You may be particularly suited to the programme if you:

• Enjoy working with numbers, data or analytical challenges
• Want to develop your programming skills in Python, SQL and R
• Want to understand how AI is changing business and analytics
• Have a quantitative background and want to apply your skills to business
• Want to strengthen your technical skills while developing your commercial understanding
• Are considering a career in business analytics, data science, AI, consulting or related fields.

Whether you’re already comfortable working with data or are looking to build your analytical and programming capabilities, the programme is designed to develop skills that can be applied across different business functions and industries.

MSc Business Analytics & Artificial Intelligence at a glance

• Format: 1 year, full-time
• Location: Warwick Campus
• Start date: September
• UK fees: £33,200
• EU/International fees: £41,500

Why study MSc Business Analytics & Artificial Intelligence with us?

If you are researching a Master's in Business Analytics and AI degree, Warwick Business School offers a unique blend of academic excellence and industry connectivity:

• World-class rankings: Ranked 3rd in the UK and 14th in the world in the QS Business Master's Rankings 2027. The University of Warwick is also a UK top 10 institution in the QS World University Rankings 2027
• A leader in analytics education: Develop highly sought-after analytical and problem-solving capabilities at a business school with a strong reputation for analytics, data-driven decision making, and business transformation
• Outstanding career outcomes: Join a programme with a strong track record of graduate employability, helping students secure analytics, consulting, technology, and data-driven roles with leading global employers. University of Warwick ranks fourth for UK universities by leading employers in The Graduate Market's High Fliers Report 2026
• Access to a powerful employer network: Connect with recruiters from organisations including Google, IBM, Goldman Sachs, and many other firms actively seeking analytics talent, through guest speakers, company projects, networking opportunities, and insights into the latest developments shaping business analytics
• Dedicated careers support: Benefit from expert guidance from Warwick Business School's award-winning CareersPlus team, including one-to-one coaching, skills workshops, employer events, and interview preparation
• In-demand technical skills: Continue developing your programming skills in SQL, R, and Python, as well as the use of AI tools
• Real-world application: Our capstone modules allow you to conduct an external consultancy project with a real client, undertake individual academic research, gain industry experience with a self-sourced internship, or put your learnings into practice with the applied Business in Practice module
• Be part of the wider Warwick community: Leverage opportunities across the University of Warwick, including interdisciplinary collaboration, student societies, entrepreneurship initiatives, and innovation-focused activities
• Join a global alumni network: Build lifelong connections through Warwick's international alumni network of graduates working across industries, functions, and markets around the world.

What you'll study on your Master's in Business Analytics and AI

Our MSc Business Analytics & Artificial Intelligence course is a one-year, full-time programme designed to combine technical analytics skills with business understanding.

Over three terms, you’ll complete four core modules alongside four modules from one of four specialist areas: 

• Artificial Intelligence
• Predictive and Prescriptive Analytics
• Management Analytics
• Marketing Analytics & Technology.

You’ll develop your programming skills in Python, SQL and R, while learning how to analyse data, apply statistical and analytical techniques, and use AI to address business problems.

Tailor your final term

Complete your studies through the route that best fits your career goals:

• One elective + Research Paper
• Two electives + Self-sourced Internship
• Two electives + Business in Practice
• Two electives + Analytics Portfolio.

This flexibility allows you to develop your academic, practical or professional experience according to your interests and career goals. Assessment varies across the programme and can include group presentations, peer assessments, individual assignments and examinations.

For more information, take a look at our MSc Business Analytics & Artificial Intelligence programme structure.

MSc Business Analytics & Artificial Intelligence entry requirements

We’re looking for analytically minded graduates who want to develop their ability to use data, technology and AI to solve business problems.

You will need:

• A 2:1 undergraduate degree from a UK university (or an equivalent qualification from an overseas institution)
• Strong numeracy and IT statistical skills, as this is a quantitatively focused programme
• No prior degree in Business Analytics or Computer Science is required. We actively welcome applicants from diverse backgrounds, including economics, business, engineering, psychology, geography, sociology, and politics.

If English is not your first language, you’ll need to meet the University's minimum English language requirements.

You’ll also need access to a suitable laptop. Some modules may use virtual machines, so the University recommends a Windows or Mac laptop with at least 8GB RAM and 256GB storage.

Read more about our full MSc Business Analytics & Artificial Intelligence entry requirements and how to apply.

MSc Business Analytics & Artificial Intelligence fees and funding

2027 entry

• UK fee: £33,200
• EU/International fee: £41,500

Your tuition fee is payable at the start of the year or in instalments. To secure your place, you’ll need to pay a £3,000 deposit within four weeks of receiving your offer. The deposit forms part of your total tuition fee and is not an additional cost.

What are my funding options?

Warwick Business School offers a range of Master's scholarships and funding opportunities for eligible students. You may also be able to access postgraduate funding or finance your studies through external providers, depending on your circumstances.

Funding eligibility and award values can vary, so check the latest information when you apply.

See our MSc Business Analytics & Artificial Intelligence fees and funding page for details of what your tuition fee covers and the funding options available to you.

How to apply for our MSc Business Analytics & Artificial Intelligence

Applying is straightforward through the University of Warwick’s online application form. We recommend applying early because the selection process is highly competitive.

You will need:

• A current CV
• Academic transcripts
• Two references
• A personal statement.

Your personal statement is an opportunity to explain why you want to study Business Analytics and AI, your quantitative or analytical experience, and how the programme connects with your future career plans. There is also a non-refundable £75 application fee.

For a complete overview of the application process, supporting documents and deadlines, please visit our How to Apply page.

FAQs

What is an MSc in Business Analytics?

An MSc in Business Analytics is a postgraduate degree that focuses on using data, statistics, technology and analytical techniques to solve business obstacles and support decision-making.

At Warwick Business School, the MSc Business Analytics & Artificial Intelligence combines business knowledge with quantitative methods, programming, data analytics and AI, giving you the opportunity to develop both technical and commercial skills.

What is the difference between Business Analytics and Business Analytics & AI?

Business Analytics focuses on using data and analytical techniques to understand business performance, identify opportunities and support decision-making. The MSc Business Analytics & Artificial Intelligence at Warwick Business School builds on these foundations with a stronger focus on artificial intelligence and its application to analytics and business.

You can also tailor your studies through specialist areas including:

• Artificial Intelligence
• Predictive and Prescriptive Analytics
• Management Analytics
• Marketing Analytics & Technology.

This allows you to develop expertise in areas that align with your interests and future career plans.

Do I need a degree in Business Analytics to apply?

Warwick Business School welcomes applications from a wide range of academic backgrounds, so your undergraduate degree does not need to be in Business Analytics. Relevant backgrounds include economics, business, engineering, psychology, geography, sociology and politics. You’ll need to demonstrate the strong numerical, analytical and IT skills required for this quantitatively focused programme.

Do I need to know Python before starting the MSc?

The programme develops your programming skills in Python, SQL and R, so you don’t need to have completed an undergraduate degree specifically in programming or Business Analytics.

However, because the course is quantitatively focused, you should be comfortable with numerical and analytical work.

What careers can I pursue after a Master's in Business Analytics and AI?

Graduates in MSc Business Analytics & AI can pursue careers in business analytics, data analytics, data science, AI, consulting, strategy, technology and other data-driven areas. Recent graduates from the programme have secured roles including AI Analyst, Data Consultant and Market Strategy Lead, with employers including Accenture, EY and KPMG.

What are the entry requirements for MSc Business Analytics & Artificial Intelligence?

You’ll need a 2:1 undergraduate degree or equivalent, alongside strong numeracy and IT statistical ability. Applications are welcomed from a range of academic backgrounds, including economics, business, engineering, psychology, geography, sociology and politics. If English isn’t your first language, you’ll also need to meet the University’s minimum English language requirements.

 

Previously MSc Business Analytics.