kent business school business analytics

Are you a critical thinker with the ability to analyse and interpret data?

kent business school business analytics

Business Analytics is the process of predicting the needs of an organisation and analysing the effectiveness of past and present activity. This sought-after and growing business discipline is a strategic necessity for any organisation.

The MSc in Business Analytics at Kent Business School is delivered by published academics and in collaboration with industry leaders. On the course, you learn the skills, technologies, applications and practices to become an expert in interpreting and analysing enterprise data effectively.

Reasons to study MSc Business Analytics at Kent

What you’ll learn

You’ll spend Stage 1 learning business analytics topics such as advanced spreadsheets and systems, Big Data, business statistics with Python and forecasting. You will end your Master’s with a detailed report, applying your expertise to a real-world scenario.

See the modules you’ll study

The course helped me to hone my data-handling skills and to make proper insights on data and leverage them to make decisions for a business.

~ Derek Osei Debrah, MSc Business Analytics 2020

kent business school business analytics Entry requirements

Smiling female postgraduate student

You are more than your grades

For 2022, in response to the challenges caused by Covid-19 we will consider applicants either holding or projected a 2:2. This response is part of our flexible approach to admissions whereby we consider each student and their personal circumstances. If you have any questions, please get in touch.Contact us

kent business school business analytics Entry requirements

A minimum of a second-class UK degree, or an equivalent internationally recognised qualification in any subject area is needed for this course.  Basic quantitative skills are an advantage.

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. 

International students

Please see our International Student website for entry requirements by country and other relevant information. Due to visa restrictions, students who require a student visa to study cannot study part-time unless undertaking a distance or blended-learning programme with no on-campus provision.

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.APPLY NOW

kent business school business analytics Course structure

Duration: 1 year full-time

Our general Business Analytics programme is a flexible programme is studied over one year full-time and consists of seven compulsory and two optional modules in Stage 1. Stage 2 consisting of a piece of business analytics research. 

Stage 1 aims to provide you with the knowledge and understanding of business analytics covering topics such as advanced spreadsheets and systems, Big Data, business statistics with Python and forecasting. 

Stage 2 consists of one compulsory module, a dissertation. This is a detailed study using relevant business analytics techniques to evaluate a chosen company.

The MSc Business Analytics programme is available with an optional industrial placement, which will require you to complete the Industrial placement Report.

Modules

The following modules are indicative of those offered on the Business Analytics programme. This list is based on the current curriculum and may change year to year in response to new curriculum developments and innovation. You may study a mix of compulsory and optional modules. You may also have the option to take modules from other programmes so that you may customise your programme and explore other subject areas that interest you.Compulsory modules currently include

 CB921 – Advanced Spreadsheets and Decision Support Systems (15 credits)

 CB969 – Business Statistics with Python (15 credits)

 CB997 – Prescriptive Analytics for Decision Making (15 credits)

 CB966 – Simulation Modelling (15 credits)

 CB9040 – Machine Learning and Forecasting (15 credits)

 CB9165 – Big Data Analytics and Visualisation (15 credits)

 CB8005 – Consultancy, Negotiation, and Research Skills (15 credits)

Optional modules may include

 BUSN8020 – Corporate Finance (15 credits)

 BUSN8021 – Foundations of Finance (15 credits)

 BUSN9058 – Warehousing and Global Transportation Management (15 credits)

 BUSN9065 – Consumer Behaviour (15 credits)

 BUSN9066 – Applied marketing research (15 credits)

 BUSN9090 – Marketing Across Cultures (15 credits)

 BUSN9173 – Project Management (15 credits)

 BUSN9174 – Supply Chain Finance and Blockchain Technology (15 credits)

 BUSN9320 – Operations Management and Digital Transformation (15 credits)

 BUSN9520 – Integrated and Digital Marketing Communications (15 credits)

 BUSN9960 – Logistics and Supply Chain Planning” (15 credits)

Compulsory modules currently include

 BUSN8005 – Consultancy, Negotiations and Research Skills (15 credits)

 BUSN9040 – Machine Learning and Forecasting (15 credits)

 BUSN9165 – Big Data Analytics and Visualisation (15 credits)

 BUSN9210 – Advanced Spreadsheets and Decision Support Systems (15 credits)

 BUSN9660 – Simulation Modelling (15 credits)

 BUSN9690 – Business Statistics with Python (15 credits)

 BUSN9970 – Prescriptive Analytics for Decision Making (15 credits)

Optional modules may include

 BUSN8020 – Corporate Finance (15 credits)

 BUSN8021 – Foundations of Finance (15 credits)

 BUSN9058 – Warehousing and Global Transportation Management (15 credits)

 BUSN9065 – Consumer Behaviour (15 credits)

 BUSN9066 – Applied marketing research (15 credits)

 BUSN9090 – Marketing Across Cultures (15 credits)

 BUSN9173 – Project Management (15 credits)

 BUSN9320 – Operations Management and Digital Transformation (15 credits)

 BUSN9520 – Integrated and Digital Marketing Communications (15 credits)

 BUSN9960 – Logistics and Supply Chain Planning (15 credits)

Compulsory modules currently include

 CB986 – Dissertation (15 credits)

Teaching and assessment

Teaching

We use a variety of teaching methods, including:

  • lectures
  • small group seminars
  • group projects
  • presentations
  • expert speakers
  • company visits
  • computer-based workshops

Classroom-based learning is supported by the latest online technologies and learning platforms.

Assessment

Your progress on this course is assessed by coursework only. Students wishing to undertake the optional industrial placement will be required to successfully complete all stage 1 modules. The Industrial Placement is assessed by the completion of the Industrial Placement Report.

kent business school business analytics Fees

The 2022/23 UK fees for this course are:

  • Home full-time£11400
  • EU full-time£15900
  • International full-time£21200

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

For students continuing on this programme fees will increase year on year by no more than RPI + 3% in each academic year of study except where regulated.* If you are uncertain about your fee status please contact information@kent.ac.uk.

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.

Additional costs

General additional costs

Find out more about general additional costs that you may pay when studying at Kent. 

kent business school business analytics Funding

Search our scholarships finder for possible funding opportunities. You may find it helpful to look at both:

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