Course summary
If you have a passion for numbers and want to apply them to real life settings, this course is for you! Businesses rely on data to make decisions across all their core functions. Whether it’s data on employee performance, supply chains, or market trends, managers today need to be able to work with numbers. On our BSc Business Analytics and Management course, you’ll learn the skills to interpret, analyse and present data to influence and facilitate good business decisions whilst developing your understanding of other key business functions. You’ll learn coding and master Excel with support from our expert staff who have endless experience working with real companies to enhance their performance. With their help, and your passion you will graduate a confident business leader, ready to make decisions, solve problems and find innovative solutions. Reasons to study Business Analytics and Management • Our expert teaching staff appear in the top 2% of researchers worldwide. • We feature in the top 1% of business schools globally with triple accreditation status from AMBA, AACSB and EQUIS. • Gain employability support during your studies and for three years after you graduate. • Add a Year Abroad or Year in Industry for real-world experience or take a 'Selfie Year' and launch your own business through ASPIRE. • Study in our outstanding facilities, providing you with an excellent student experience .
Modules
Stage 1 Your first year is an introduction to the world of business analytics. You'll learn the ins and outs of a number of areas including accounting and marketing, while also building up your programming and mathematical skills. By the end of this year, you’ll have set a foundation for you analytical skills that can be applied across the different areas of business. Stage 2 In your second year, you’ll strengthen your data skills through the modules that you’ll study. You’ll learn about core business functions like HRM and operations management while also focusing on the three essential areas of business analytics: predictive, prescriptive, and descriptive analytics. By the end of this year, you’ll have a command of data analysis techniques and develop the confidence to present your findings in persuasives ways that you can apply to any real-life setting. Stage 3 Your final year gives you the chance to showcase how you’ve grown on the course. You’ll take essential modules in leadership and strategy as well as learning about key topics like simulation modelling. You’ll also choose from optional modules in far-reaching areas of business activity. You’ll graduate, ready to take on any analytical task a business can throw at you, with the skills to be a confident business leader, ready to make decisions and solve problems at a high level.
How to apply
31Jan
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application codes
- Course code:
- N201
- Institution code:
- K24
- Campus name:
- Main Site
- Campus code:
- -
Points of entry
The following entry points are available for this course:
- Year 1
Entry requirements
Qualification requirements
English language requirements
Applicants should have grade C or 4 in English Language GCSE or a suitable equivalent level qualification.
Please visit our website for further information:
https://www.kent.ac.uk/courses/undergraduate/how-to-apply/english-language-requirements.html
Unistats information
Operated by the Office for Students
There is no data available for this course. For further information visit the Discover Uni website.
Fees and funding
Tuition fees
No fee information has been provided for this course
Additional fee information
All fees for 2024/25 are to be confirmed. Please see the programme page at www.kent.ac.uk for further information on fees and funding options.
Provider information
University of Kent
Recruitment and Admissions Office
Registry
Canterbury
CT2 7NZ