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BSc (Hons)

Business Analytics

See what happened. Predict what’s next. Decide what to do.

Get to know your subject

Join one of our subject-specific webinars this autumn to get a taste of your course. Meet the academics who bring it to life, explore what you’ll study and get answers to your questions.

Key information

Start
September 2027
Location
Canterbury
Study mode
3 years full-time, 6 years part-time
Fees (per year)
UK: £10,050
International: £21,950
Typical offer
BBB / 104-120 UCAS points All entry requirements

Overview

Data is only useful if you know what to do with it.

At Kent, you’ll learn how to turn complex information into insight – and insight into better business decisions. Build your skills in quantitative methods, programming and data analysis, then use them to understand problems, compare options and recommend what happens next.

As you progress, you’ll work with big data, machine learning, predictive analytics, visualisation and AI, before exploring techniques such as prescriptive analytics and simulation modelling. You’ll learn not only how to spot patterns in data, but how to use them to improve strategy, efficiency and performance.

And because good analytics starts with the right business question, you’ll also develop your understanding of economics, finance, strategy and how organisations operate. Through practical problems and real-world cases, you’ll build the commercial judgement to communicate what the data means – and help others act on it.

By graduation, you’ll have the analytical, technical and professional skills to help organisations make smarter decisions in areas ranging from strategy and operations to finance, risk and change.

4 minutes 19 seconds

Why study at Kent Business School?

The course

Learn how to turn business problems into questions data can answer – building your skills in quantitative methods, programming, machine learning, predictive analytics, visualisation and AI.

What you'll study

Plot your course. Discover the modules you'll study on your Kent journey.
Stage 1

Compulsory modules currently include the following

Excel is the industry standard software for data processing and modelling, so if you want to hit the ground running in your career, mastery of Excel is crucial. You'll learn the techniques of Excel and spreadsheet modelling through realistic problems and extensive exercises, giving you real hands-on experience to make rapid progress.

By the end of the module, you wont only have mastered excel to report, model and forecast for businesses, you'll have also developed the confidence you need to present your insights to managers, stakeholders and business leaders. This makes you a vital asset for businesses focused on growth, and gives you an extra edge when looking to make progress in expanding industries.

Quantitative methods are becoming increasingly important for successful businesses. As business data becomes more complex and sophisticated, higher-level mathematical knowledge is required to understand operational problems better and make informed decisions.

Throughout this module, you’ll develop and consolidate your mathematical knowledge and skills, ensuring that you understand core mathematical concepts and how to apply them to business problems.

You’ll also develop knowledge in using Excel to solve mathematical problems and learn about statistical analysis methods and techniques. You’ll focus on real-world case studies and practise tackling the types of issues that businesses face. This means you wont only be able to apply quantitative models to businesses, you'll be able to confidently and effectively communicate actions and outcomes from the stories the data reveals.

Economics for Business

How do companies measure, assess and communicate their financial performance? Managers prepare, read and interpret financial information daily and they use it to communicate company financial results to a variety of stakeholders.

In this module you’ll learn how sole traders and limited companies record accounting transactions using bookkeeping and how they summarise and report their financial results to external stakeholders using financial statements. You’ll also gain essential knowledge of the regulatory framework of financial reporting which guides the process of preparing annual reports for a variety of companies.

By the end of the module, you will have developed the analytical skills needed to both prepare and analyse financial statements. This will enable you to holistically assess company financial performance and provide recommendations, an important skill in your future career.

Develop the communication, teamwork and problem-solving skills needed to succeed as a business analyst. Learn to present data-driven insights, engage with stakeholders and communicate recommendations that support effective business decisions.

Explore the foundations of business analytics, from identifying business problems to interpreting data and evaluating evidence. Learn how analytical insights can reveal opportunities, improve performance and support better organisational decisions.

Stage 2

Compulsory modules currently include the following

Python has become the most popular general-purpose programming language. It enables fast development, has great community support, and is an industry-standard tool for visualising and analysing business data.

Developing computer programming skills is an important tool in business analytics. You’ll explore the fundamentals of programming, covering essential concepts such as flow control and loops, before advancing into the realm of object-oriented programming.

You’ll explore the practical applications of Python packages, focusing on those specifically relevant to business analytics. These include solving equations, data visualisation, and generating descriptive statistics. Through hands-on exercises and real-world examples, you’ll develop a robust skill set, making you proficient and confident in using Python for effective business analytics.

In today's business context there is a wealth of data available. Many businesses currently struggle to transform that data into useable information that they can use to make meaningful decisions. We'll learn to extract insights from historical data through interactive visual analytics, communicating complex information effectively and gain hands-on experience in using data to drive positive change in business, environment and society.

We'll also explore advanced techniques for pattern recognition and forecasting, providing the ability to foresee future outcomes and trends. We'll explore real-world case studies from diverse industries, offering a deep understanding of how data analytics is integral to sectors like supply chain management, marketing, healthcare and finance.

By the end of this module, you'll be equipped with the skills and knowledge to transform data into actionable insights and predictions, making an impact on any organisation that you work at.

Big Data and Machine Learning are making big changes in many industries, affecting how computing and cloud technology function. We'll study the basics of processing big data and learn to use practical tools through real-world examples and hands-on exercises. You'll also learn about various machine learning techniques, including supervised, unsupervised and reinforcement learning. Starting with simple linear regression, you'll progress to advanced topics like neural networks and convolutional neural networks and also explore important concepts like the bias-variance trade-off for model selection. In addition to model training, you'll also learn how to evaluate model performance using standard metrics, refining your skills in the process.

Making decisions is crucial for managers and businesses, as they shape our lives and impact outcomes at work. However, making smart decisions in the face of complexity and uncertainty can be challenging. How can data support our decisions in such uncertain contexts? Together we'll explore various quantitative and graphical methods that help identify, represent, and evaluate different possibile options and make optimal decisions. These tools will equip you to make sound decisions in uncertain situations, enabling you to influence and lead effectively. By the end of the module, you'll have a deep understanding of informed decision-making methodologies. You'll learn how to analyze problems, identify potential solutions, and evaluate outcomes in uncertain conditions.

Explore how organisations manage data and digital technologies responsibly. Examine governance, ethical decision-making, privacy and transparency, and understand how businesses build trust through accountable and responsible use of data and AI.

Develop the skills to analyse and visualise business data using modern analytical tools and AI. Learn to identify patterns, communicate insights clearly and support smarter, evidence-based business decisions.

Tom Tillin

My year in industry couldn’t have gone better. I secured a role at IBM, working in their sports and entertainment department – it was perfect for me
Year in Industry

You have the option to add a year in industry to this course. We already know you have the confidence and commitment to thrive in the workplace and kick-start your career. This is your chance to prove it, to yourself and to employers.

Any questions? We have the answers.

When should I start looking? Companies will recruit at different times of the year based on their size. It's good to be application ready by the summer of your first year.

Where can I get help finding a placement? Book an appointment with a placement adviser via the careers service. 

Will I get paid? Most of our placements are paid. 

Do I have to pay tuition fees? Yes, you’ll pay a substantially reduced fee. Fees for the current year (subject to changes) can be found on our tuition fees website.

Where can I get visa advice if I’m an international student? Kent Students' Union can help with any visa queries. 

Does the University keep in touch? You receive four-weekly check-in emails, a visit from the team every three months and you can reach out to us any time by email or phone. 

Do I work for a full year? The minimum requirement for an industrial placement is 44 weeks.

What could you do in a year?

Cheyenne Nolan

My ‘You only live once’ decision to study in Japan is one of the best I’ve ever made. I had a fantastic year.
Go Abroad

Taking a year abroad – whether you study at one of our prestigious partner universities or do an internship – is an amazing opportunity.

Any questions? We have the answers.

Is there any additional funding for the year abroad? You may be able to apply for funding; check with our Go abroad team.

Do I have to pay tuition fees for the year abroad? Yes, you’ll pay a substantially reduced fee. Fees for the current year (subject to changes) can be found on our tuition fees website. You don’t pay anything to the host uni.

Will I still get my maintenance loan? Yes.

When does the year abroad take place? Between your second and final year.

Do I have to learn a foreign language? You’re taught in English in many destinations, but you’ll get more out of your year if you learn the local language.

Does the University keep in touch? You have full access to all Kent’s support services as well as our dedicated Go abroad team.

Where could you go in a year?
Stage 3

You take all compulsory modules and take either the KBS Challenge or conduct your own study on the Research Project in Business

Compulsory modules currently include the following

In the rapidly evolving world of business, developing and implementing effective strategies is vital for success. This module equips you with the knowledge and skills necessary to excel in the field of strategic management.

You’ll engage in rigorous analysis and critical thinking to explore a range of strategic concepts. These include the fundamentals of strategic planning, advanced topics in supply chain dynamics, and issues such as quality management, technology-driven innovation, and project/event management.

Throughout the module, you’ll engage in interactive discussions, group projects, case studies, and hands-on exercises to enhance your problem-solving and decision-making skills. By the end, you’ll have the ability to analyse and apply critical thinking to evaluate strategic alternatives and make informed recommendations.

Prescriptive analytics goes beyond simply describing past events or predicting future events. It provides insights into what actions organisations can take to make better decisions. Together we’ll learn how to formulate complex problems mathematically and solve them using various techniques.

You’ll discover how to turn data into optimal decision-making strategies by creating powerful mathematical models known as Linear Programming (LP). Through exploring different LP solutions and conducting sensitivity analyses, you’ll be able to inform better decision-making with data.

Additionally, you’ll delve into network models, tackling problems such as transportation, assignment, shortest path, maximum flow, and minimum spanning tree. You’ll learn how to model these scenarios and explore common approaches to solve them effectively. You’ll focus on solving optimisation problems using Excel Solver, which will give you practical skills for real-world scenarios.

Simulation modeling is increasingly important in business, used in industries, consulting and policy-making. With many software options available for simulation modeling, it's essential for business graduates to understand its philosophy and techniques. We'll learn how to use simulation modeling as a powerful tool for decision-making in complex systems, with a focus on practical applications, analyzing computer models of real-world processes. Through this, you'll gain skills in building and analyzing simulation models, empowering you to estimate and compare alternatives in different situations. Ultimately, you'll be equipped to tackle the challenges of decision-making in complex scenarios through simulation modeling.

Apply your business analytics skills to real-world challenges, using data to investigate problems, identify opportunities and develop practical solutions. Build experience in communicating insights and making evidence-based recommendations.

Explore the emerging trends and challenges shaping business analytics, from advances in AI and automation to data ethics and evolving technologies. Examine how organisations adapt and use analytics to solve complex business problems.

Optional modules may include the following

Do you have what it takes to be a management consultant? Do you have the skills to be able to respond to the real-world problems that businesses are facing today? On this module, we'll work with real businesses who want the help of groups of KBS students to solve the challenges that they currently face.  Through a series of workshops you'll come to understand the consultancy process and develop key consultancy skills as you master the art of responding effectively to a brief from a business. Working in a group of your peers, you'll bring different skillsets from your studies to bear on solving business problems like designing a marketing strategy, advising on recruitment processes, or support meaningful performance management and financial evaluation etc. Put a capstone on your studies with a project that has real world impact.

Is there a topic that you are passionate about and what to understand better? This module will provide you with the opportunity to apply your learning, experience, skills and curiosity to a variety of contemporary business and management issues. You'll develop a research project on a topic of your choosing with support from a series of workshops that cultivate key research skills like scoping a project, using databases to do secondary research, asking good interview or survey questions, coding data that you've collected, and reporting professionally on your findings. You'll also be allocated a supervisor in your field who will work to support you in shaping and completing your project. Gain sought after skills in independently scoping, researching, and reporting on a problem to prepare you for a career in consultancy or postgraduate study. 

How you'll study

Business is something you learn by doing. You’ll question ideas, solve problems, work with others and put what you learn into practice – building the knowledge, confidence and professional judgement to take into your future.
Lectures
Seminars
Independent Study
Group Work
Workshops

Example timetable

Here’s a sample timetable from your first term at Kent. You'll learn through a mix of lectures, seminars and workshops - in both big and small groups with focused teaching blocks and time to work, rest or explore uni life.

Items in green are confirmed, whereas anything marked yellow could be scheduled at a different time or day depending on your group, but this gives a good sense of what to expect.

✅ A balanced timetable that works for you

  • Plan your week better: at least one free weekday for catching up on course work or just taking a breather.
  • Focused days without burnout: No isolated 1-hour campus days.
  • Time to live the uni experience: Space for societies, part-time jobs and downtime.

Entry requirements

Typical offer
104-120 UCAS points
A level
BBB
Contextual offer: BCC
BTEC
DDM
Contextual offer: DMM
IB
30 points in the IB Diploma or 120 UCAS Tariff points
Contextual offer: 26 points in the IB Diploma or 104 UCAS Tariff points
Contextual offers consider personal circumstances as well as academic grades.
Find out more

Fees and funding

Tuition fees for 2027 entry

  • Full-time (UK)
    £10,050
  • Part-time (UK)
    £5,025
  • Full-time (International)
    £21,950
  • Part-time (International)
    £10,975

Tuition fees may be increased in the second and subsequent years of your course. Detailed information on possible future increases in tuition fees is contained in the Tuition Fees Increase Policy.

For details of when and how to pay fees and charges, please see our Student Finance Guide.

Fees for year in industry

Fees for undergraduate students are £2,010.

Fees for year abroad

Fees for undergraduate students are £1,505.

Your fee status

The University will assess your fee status as part of the application process. If you are uncertain about your fee status you may wish to seek advice from UKCISA before applying.

For details of when and how to pay fees and charges, please see our Student Finance Guide.

IT Equipment 

Students will require regular access to a desktop computer/laptop with an internet connection to use the University of Kent’s online resources and systems. Please see information about the minimum computer requirements for study.  

Find out more about accommodation and living costs, plus general additional costs that you may pay when studying at Kent.

Funding

Kent offers generous financial support schemes to assist eligible undergraduate students during their studies. See our funding page for more details.

The authentic campus experience

  • Get Your Kent Start, £2,000 over two years - £1,000 in cash and £1,000 to spend on campus food and drink, plus free gym membership and a guaranteed virtual internship.
  • Everything you need on your doorstep – stunning views, nightclub, cinema, restaurants. We have it all!
  • Easy to get around – walk or catch the bus into the city. We're under an hour from London.
  • Meet your people – over 250 clubs and societies to get involved with at Kent.

Your future

Turn analytical thinking into business impact.

Organisations need people who can make sense of complex data, spot what matters and turn evidence into better decisions. With a Business Analytics degree, you’ll be prepared for roles where data shapes strategy, efficiency, risk and change.

You’ll graduate with a combination of analytical, technical and business skills – from programming, modelling and predictive analytics to problem-solving, communication and decision-making. That opens up opportunities across consulting, technology, finance, marketing, operations and beyond.

Where could it take you?

Business Analyst · Business Intelligence Analyst · Data Analyst · Analytics Consultant · Financial or Credit Risk Analyst · Operations Analyst · Project Management · Strategy and Change

Build experience before you graduate

Choose a Year in Industry to put your analytics skills to work in a professional organisation, or a Year Abroad to add an international dimension to your degree.

KBS graduates have gone on to organisations including Amazon, Hewlett Packard, PwC, ASOS and Deloitte UK.

World Economic Forum’s Future of Jobs Report 2025

86% of employers
Expect AI and big data analytics to drive transformation in their business

A degree can boost average lifetime earnings by over

£300,000
Graduate employment outcomes - Universities UK

Why study at Kent?

Ready to apply?

If you are from the UK or Ireland, you must apply for this course through UCAS. If you are not from the UK or Ireland, you can apply through UCAS or directly on our website if you have never used UCAS and you do not intend to use UCAS in the future.

Apply through UCAS
  • UCAS code N201
  • Institution ID K24
earth International students

You can make a direct application to Kent if you pay international tuition fees, live outside the UK or Ireland and do not have or intend to have a UCAS account or application. 

There is no application fee for a direct application to Kent.

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Everything you need to know about life at the University of Kent.

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Our team is on hand to support you on your journey.

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