Students who wish to apply for a higher degree should have a good honours degree from the UK (minimum 2:2) or equivalent internationally recognised qualifications in a quantitative discipline, such as statistics, logistics, mathematics, engineering or any other mathematically based natural science discipline.
Applicants without an honours degree may also be considered on the basis of work experience, professional qualifications and the relevance of the programme to their current professional role.
Months of entry
Gain in-depth knowledge of analytical and predictive modelling skills as well as management, communication and research skills.
In the era of Big Data, analytics is becoming a strategic necessity in virtually all areas of business and is an essential tool to drive real-time decisions, foster evidence-based decision-making and sustain competitive advantage.
At Kent Business School our MSc in Business Analytics (with optional 12-month placement) equips you with the latest analytics tools to analyse and interpret data, forecast future trends, automate and streamline decisions, and optimize courses of action.
Emphasis is placed on learning fundamental analytics techniques, such as statistical analysis, data mining, database management, forecasting and regression, optimization, simulation and spreadsheet modelling among others.
According to a recent ranking by U.S News and World Report; Market Research Analyst and Operations Research Analyst are in the top four Best Business Jobs of 2015, and Harvard Business Review claimsData Scientist is the ‘sexiest job of the 21st century’, with practitioners having rare and highly sought-after skills.
The full-time programme is designed to meet the growing demand for graduates with analytics capabilities. Students will learn how to apply descriptive, predictive and prescriptive modelling techniques to help organisations improve performance, explore alternatives, and anticipate and shape business outcomes in a rapidly changing environment.
The programme places great emphasis on the use of the latest state-of-the-art analytics, simulation and optimisation technologies, including MS Excel, SPSS, MySQL, Simul8, VBA, Weka and IBM ILOG OPL.
Throughout the programme you will have the opportunity to work for real organisations to improve your consultancy skills and enhance your employability through our In-Company Student Consultancy Project, which bridges the gap between classroom learning and the real world. There are also a variety of activities, including case studies, team project work, guest lectures and industry visits to aid your learning.
Upon graduation, you will be ready to start a fast-track career in a variety of industries and sectors including airlines, manufacturing companies, energy, healthcare delivery, banking, marketing and government.
This programme is ideal for graduates with a good background in a quantitative area who are seeking to gain an in-depth knowledge of data analysis and predictive modelling skills as well as management, communication and consultancy skills.
- 22nd for graduate careers after 6 months in The Guardian University Guide 2020
- Ranked 25th in the UK for research intensity in Business and Management (REF 2014-2021)
- Top 250 for Business & Economics in The World University Rankings 2019
Information for international students
For detailed information see our English language requirements web pages. Please note that if you are required to meet an English language condition, we offer a number of pre-sessional courses in English for Academic Purposes through Kent International Pathways.
Fees and funding
Kent Business School has a wide range of funding opportunities for postgraduate students, which include scholarships, bursaries, the Double Loyalty Scheme for University of Kent undergraduates and the KBS Early Bird Scheme. The Early Bird equates to a 10% discount on tuition fees.
Qualification, course duration and attendance options
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Kent Business School
- 01227 827726