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. According to a recent ranking by US 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 claims Data Scientist is the 'sexiest job of the 21st century' with practitioners having rare and highly sought-after skills.
To meet the growing demand for graduates with analytics capabilities, the MSc in Business Analytics degree equips you with the latest analytics tools to analyse and interpret data, forecast future trends, automate and streamline decisions, and optimise courses of action. Emphasis is placed on learning fundamental analytics techniques, such as statistical analysis, data mining, forecasting and regression, optimisation, simulation and spreadsheet modelling among others.
You 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. 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.
Students enrolled in the programme have the opportunity to work for real organisations, improve their consultancy skills and enhance their employability through the Student Implant Scheme, which bridges the gap between classroom learning and the real world. Students are also involved in a variety of activities, including case studies, team project work, guest lectures and industry visits.
Software demonstration workshops supported by IBM/ILOG are regularly organised to support the teaching of state-of-the-art analytics packages including IBM Watson Analytics, R, SPSS, Weka, MS Excel and VBA, as well as optimisation packages including Optimization Programming Language, IBM/ILOG, CPLEX and Simul8.
This programme is ideal for graduates with a good background in a quantitative area who are seeking to gain an in-depth knowledge of analytical and predictive modelling skills as well as management, communication and research skills.
Visit the website https://www.kent.ac.uk/courses/postgraduate/292/business-analytics
About Kent Business School
Kent Business School has over 25 years’ experience delivering business education. Our portfolio of postgraduate programmes (http://www.kent.ac.uk/kbs/courses/msc/index.html
) demonstrates the breadth and depth of our expertise. Academic research and links with global business inform our teaching, ensuring a curriculum that is relevant and current. We are ranked (http://www.kent.ac.uk/kbs/whychooseus/rank-accred.html
) as a top 30 UK business school for the standard of our teaching and student satisfaction. We also hold a number of accreditations (http://www.kent.ac.uk/kbs/whychooseus/rank-accred.html?tab=accreditations-and-professional-bodies
) by professional bodies.
Studying at Kent Business School (KBS) gives you the opportunity to increase your employability with real-life case studies, a student council and a business society. We have strong links to local and national organisations providing opportunities for projects, internships and graduate placements. The School attracts many high-profile speakers from industry and last year included visits and lectures from staff of the Bank of England, BAE Systems, Barclays, Lloyds Insurance, Cummins, Delphi and Kent County Council.
You study six compulsory modules and three optional modules. The compulsory modules are Applied Business Modelling, Business Statistics and Database Management, Consultancy and Research Skills, Data Mining and Forecasting, Management of Operations, Management Science Modelling and Dissertation.
The course structure provides a sample of the modules available for this programme. This listing is based on the current curriculum and may change year to year in response to new curriculum developments and innovation. Most programmes require you to study a combination of compulsory and optional modules. You may also have the option to take ‘wild’ modules from other programmes offered by the University in order that you may explore other subject areas of interest to you or that may further enhance your employability.
CB8005 - Consultancy and Research Skills (15 credits)
CB9035 - Applied Business Modelling (15 credits)
CB9040 - Data Mining and Forecasting (15 credits)
CB932 - Management of Operations (15 credits)
CB969 - Business Statistics and Database Management (15 credits)
CB997 - Management Science Modelling (15 credits)
CB996 - Introduction to Logistics and Supply Chain Management (15 credits)
CB934 - Strategy (15 credits)
CB937 - Financial and Management Accounting (15 credits)
CB952 - Integrated Marketing Communications (15 credits)
CB953 - International Marketing Strategy (15 credits)
CB966 - Simulation and Optimization Software (15 credits)
CB968 - Performance Management (15 credits)
CB9058 - Warehousing and Transport Management (15 credits)
CB9066 - Applied marketing research (15 credits)
CB927 - Heuristics & Optimisation (15 credits)
CB904 - Structure and Organisation of the E-Commerce Enterprise (15 credits)
CB859 - Managing the Multinational Enterprise (15 credits)
CB986 - Dissertation (45 credits)
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.
The programme aims to:
- educate you to become business analytics specialists, improving the quality of the business analytics profession
- prepare you to be operationally effective in business analytics and/or for further study or an academic career in the area
- provide in-depth study in business analytics, including a strong theoretical base and a range of skills relevant to practice
- add value to a first degree by offering theoretical and practical exposure to problem-solving techniques for effective decision making in a range of complex strategic, operational and managerial situations
- provide career development opportunities for individuals who are already experienced managers wishing to enhance their knowledge and understanding through a structured course of study
- enhance lifelong learning skills and personal development, enabling you to contribute to business and society at large
- develop a range of cognitive, critical and intellectual skills, together with research and personal/interpersonal skills
- develop the ability to conduct research into business and management issues, either individual or as part of a team, through research design, data collection, analysis, synthesis and reporting
- provide teaching and learning opportunities informed by high-quality research and scholarship
- develop new areas and methods of teaching in response to the advance of knowledge, changes in technology and the needs of students
- meet the growing market demand for highly skilled analytics workers.
You gain much more than an academic qualification when you graduate from Kent Business School – we enhance your student experience and accelerate your career prospects.
From the moment you start with us, our efforts are focused on helping you gain the knowledge, skills and experience you need to thrive in an increasingly competitive workplace.
In today’s business climate employers are increasingly demanding more from new employees, we are therefore proud that they continually target our graduates for their organisations across the globe. Employers respect our robust teaching and reputation for delivering international business expertise, leading global research and an outstanding international learning experience.
Recent graduates have gone on to work for Barclays Capital, British Embassy, Gray Robinson PA and Holiday Extras.
To find out more about business analytics and future career prospects, see the following links.
- OR Society: British Society of Operational Research: http://www.theorsociety.com/
- What is OR? Video and success stories: http://www.learnaboutor.co.uk/
Kent Business School is a member of the European Foundation for Management Development (EMFD), CIPD, CIM and the Association of Business Schools (ABS). In addition, KBS is accredited by the Association of MBAs (AMBA).
Find out how to apply here - https://www.kent.ac.uk/courses/postgraduate/apply/
Students who wish to apply for a higher degree should have a good honours degree from the UK or equivalent internationally recognised qualification, in a quantitative discipline, such as statistics, logistics, mathematics, engineering or any other mathematically based natural science discipline. Consideration will be given to those applicants holding a good second class honours degree. 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.