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Entry requirements

A good honours degree (minimum 2:2) from the UK or an equivalent internationally recognised qualification in a quantitative discipline, such as statistics, logistics, mathematics, engineering or any other mathematically based natural science discipline.

All applicants are considered on an individual basis and additional qualifications, professional qualifications and relevant experience may also be taken into account when considering applications.

Months of entry

September

Course content

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 Glassdoor.com, one of the world’s largest job and recruiting sites, Data Scientist has been named as the best job in the US for three years running. Harvard Business Review claims 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 also develop an understanding of fundamental analytics techniques, such as statistical analysis, machine learning, 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 quantitative and analytical 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 airline, manufacturing, energy, healthcare, banking, marketing and government.

While enrolled on the programme you have the opportunity to work for real organisations, improve your consultancy skills and enhance your employability through the Student In-company Scheme, which bridges the gap between classroom learning and workplace experience. As part of the Student In-company Scheme, students undertook a project to aid BMI The Chaucer Hospital in improving efficiency - read the full blog post to learn more.

Students are also involved in a variety of activities, including case studies, team project work, guest lectures and industry visits.

The state-of-the-art analytics packages including R, SPSS, Weka, and MS Excel, as well as optimisation packages (IBM ILOG CPLEX and OPL), simulation packages (SIMUL8) and programming languages (VBA), are taught in the programme.

Industrial Placement

For students who wish to enhance their employability further, this programme offers the opportunity to undertake work experience in the UK or overseas, through the option to undertake the programme with an additional industrial placement. Placements are self-sought and can range from an additional 12 to 50 weeks. This would extend the normal 12 month Masters programme to a maximum of 24 months.

The School offers support to those students seeking the industrial placement option, through extra-curricular engagement with our dedicated placements team. Our dedicated placement team can help you gain a suitable paid position and provide support throughout your placement. Students considering this option should be aware that they will be required to successfully complete all stage 1 modules and that there may be additional costs for students in terms of visa extensions, Immigration Health Surcharge (IHS) and accommodation, for example.

Optional Pathways

Students have the option to undertake the MSc Business Analytics programme in two further specialist pathways - Business Analytics (Smart Logistics) or Business Analytics (Finance). Students can choose either pathway or remain on the main MSc Business Analytics programme following enrolment in September.

Information for international students

Please see our International Student website for entry requirements by country and other relevant information. Please note that international fee-paying students cannot undertake a part-time programme due to visa restrictions.

English language entry requirements

The University requires all non-native speakers of English to reach a minimum standard of proficiency in written and spoken English before beginning a postgraduate degree.

For detailed information see our English language requirements web pages.

Need help with English?

Applicants who are required to meet an English language condition may be able to study a pre-sessional course in English for Academic Purposes through Kent International Pathways.

Fees and funding

The Business School has a wide range of funding opportunities for postgraduate students, which include Scholarships, Bursaries, Kent Business School Loyalty Award for University of Kent undergraduates and the KBS Early Bird Scheme. The Early Bird equates to a 10% discount on tuition fees.

For further information about funding, including scholarships, please visit our funding web pages.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Name
Kent Business School
Email
kbsadmissions@kent.ac.uk
Phone
+44 (0)1227 827726