Entry Requirements (extended)
A UK 2:1 honours degree or its international equivalent in an area related to management science, operational research, statistics, econometrics, mathematics, physics, computer science, engineering, or business and management with a distinct quantitative content.
Your background should ideally include courses and/or experience gained in topics such as linear algebra, calculus, probability, statistics, and computer programming.
If you have a UK 2:1 honours degree or its international equivalent in an unrelated subject we may consider your application if you have relevant work experience.
Work experience is desirable but not mandatory.
Students are required to have their own laptops. In particular, applicants need to ensure that their laptops can run MATLAB.
Given the ever-increasing volume of data that businesses have access to today, there is a demand for employees who have computational and analytical skills and who can help inform business decisions to increase efficiency and ultimately build a competitive edge. Our Masters in Business Analytics has been developed with just that in mind and aims to train students to understand the variety of business environments as well as importance and relevance of decision problems facing organisations and ways of solving these using a variety of techniques.
Students will learn how to apply descriptive, predictive, and prescriptive analytics of big data concepts and techniques to generate valuable insight that can assist with decision making. Last, but not least, the Masters will provide students with hands-on experience in applying these concepts and using these techniques and most of the popular analytics software through their projects including industry projects. In sum, the programme aims to equip students with the skills required to interpret, conceptualise and convert Big Data into useful information and thus enabling students to make better informed decisions as future business managers.
All students attend and complete four core courses in Semester 1 and four option courses in Semester 2. The programme concludes with a 60-credit Dissertation. Details of core and option courses are shown below.
Core courses - Semester 1
Principles of Data Analytics
Predictive Analytics and Modelling of Data
Prescriptive Analytics with Mathematical Programming
Business Analytics with Heuristics
Option courses - Semester 2
Performance Analytics with DEA
Media and Web Analytics
Business Analytics with Simulation
Supply Chain Analytics with Games
The Dissertation: Each student conducts an individual research project on a subject within business analytics, chosen in consultation with an academic supervisor. MSc candidates write up their work as a Dissertation (maximum 15,000 words with a maximum of 10% margin either way), which is submitted by the end of August. Some Dissertation topics are offered that involve working with business, NGOs or other organisations.
General Educational aims are to:
Enable all participants to recognise, understand and apply the language, theory and models of the field of business analytics.
Foster an ability to critically analyse, synthesise and solve complex unstructured business problems.
Encourage an aptitude for business improvement, innovation and entrepreneurial action.
Encourage the sharing of experiences to enhance the benefits of collaborative learning.
Instil a sense of ethical decision-making and a commitment to the long-run welfare of both organisations and the communities that they serve.
Specific Educational aims are to:
Understand and critically apply the concepts and methods of business analytics.
Identify, model and solve decision problems in different settings
Interpret results/solutions and identify appropriate courses of action for a given managerial situation whether a problem or an opportunity.
Create viable solutions to decision making problems.
It is anticipated that the demand for data analytics employees will continue and indeed grow as analytics is viewed as a key competitive resource by many companies. If market forecasts are anything to go by then the Big Data technology and services market will grow at a 26.4% annual growth rate to $41.5 billion through 2018, or about 6 times the growth rate of the overall information technology market (Source: IDC). This will inevitably lead to further growth of the market for employees in the area of data analytics.
The new MSc in Business Analytics will offer students from a range of degree backgrounds the opportunity to equip themselves with an artillery of concepts, methods and applications of business analytics along with hands-on and practical experience in applying them to industry projects in different business settings. It is not just about being able to analyse and digest the data available but to then translate this into effective decision-making. In sum, we expect the new programme to open a range of career pathways in analytics for our graduates including business consultants, business analysts, business intelligence & analytics consultants, metrics & analytics specialists, analytics associates, data analysts, solution architects, business process analysts, management consulting associates, and operational research consultants.