Business Analytics at University of Kent - UCAS

Course options

Course summary

Gain in-depth knowledge of analytical and predictive modelling skills as well as management, communication and research skills. To meet the growing demand for graduates with analytics capabilities, the MSc in Business Analytics equips you with the latest analytics tools to analyse and interpret data, forecast future trends, automate and streamline decisions, and optimise courses of action. 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. According to a recent ranking by US News and World Report, Operations Research Analyst is ranked second in the Best Business Jobs of 2016, and Harvard Business Review claims Data Scientist is the 'sexiest job of the 21st century' with practitioners having rare and highly sought-after skills. 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. You will also develop an understanding of fundamental analytics techniques, such as statistical analysis, data mining, forecasting and regression, optimisation, simulation and spreadsheet modelling. This programme is ideal for graduates with a quantitative background who are seeking to gain an in-depth knowledge of analytical and predictive modelling skills as well as management, communication and research skills. Upon graduation, you will be ready to start a career in a variety of industries and sectors including airlines, manufacturing companies, energy, healthcare delivery, banking, marketing and government.

Modules

This programme is studied over one year full-time or two years part-time. It consists of nine compulsory modules and two optional modules. The optional modules allow students to specialise in a business analytics application area of their choice, such as marketing, finance, logistics and supply chain management.

Assessment method

The programme involves a taught and a project component. The taught programme is assessed by a mixture of coursework assignments throughout the year, and by examinations in May and June. Once these are completed, you then work full-time on the project and write a dissertation based on this. This 8,000 to 10,000 word dissertation is an opportunity to apply the techniques and insights presented in the programme and apply them to a particular problem area.


How to apply

International applicants

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.

Entry requirements

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.


Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Business Analytics at University of Kent - UCAS