Surrey Business School’s Business Analytics programme is dedicated to producing creative and knowledgeable Business Analysts with the ability to convert Big Data to actionable insight in business.
Whether it’s using Artificial Intelligence to improve a chess programme, or understanding the power of visualisation from a simple graph.
With input from industry experts in class and on-site, you will engage with real-world business problems.
Artificial Intelligence and Machine Learning, Big Data. New technologies and ways of working are changing the way we make decisions.
This programme will take your career to the next level and develop your ability to confidently make high impact businesses decisions that are driven by data.
The programme focuses on two key areas: analysing business data, and solving business challenges analytically. Optional modules allow you to further specialise in areas such as the economic, managerial or finance or aspects of the subject.
Furthermore, you will benefit from hands-on experience of a wide range of analytics software such as simulators and mathematical tools.
The programme is studied full-time over one academic year. It consists of eight taught modules and a dissertation. The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand. -Data Analytics -Supply Chain Analytics -Econometrics I -Machine Learning and Visualisations -Principles of Accounting -Foundations of Finance: Finance and Investments -Supply Chain and Logistics Management -Information for Decision Making -Managing Decisions Implementation -Introduction to Marketing Analytics -Econometrics II -Business Process Management -Innovation Management -Investment Analysis -Dissertation
Business analytics students often pursue careers as consultants, researchers, managers, and analysts.
You will get hands-on experience using a wide range of tools in the course. An indicative list of the software tools is as follows: -Excel (using the Solver and Data Analysis Add-Ins) and Tableau for decision making and visual analytics -COGNOS and SQL Server for Business Intelligence for analytical processing -Apache Hadoop (Map Reduce) with Amazon’s Elastic Cloud or IBM’s Smart Cloud for distributed Big Data analytics -SAP for Enterprise Resource Planning -R, SPSS and EViews for coding, statistics and forecasting -ILOG’s Optimisation Studio (Cplex) for optimisations -Matlab for algorithms and programming and Simulink (SimEvents) for simulations -Arena (or Simul8) for Discrete Event Simulations
EDUCATIONAL AIMS OF THE PROGRAMME
The programme’s aim is to provide a high quality education that is both intellectually rigorous and at the forefront of management science research, relevant for problem solving and decision making by managers.
It will respond to the emergent needs of corporations and academia for professionals who are able to work with analytical tools to generate value from available Information depots and take advantage of the vast amounts of data now provided by the modern ICT and ERP systems, which underlie the operations of modern corporations.
The program will implant understanding of the theoretical base around knowledge management and knowledge work, practical skills and experience in using analytical software tools.
It will allow future professional managers and consultants to cope with an increasingly complex and global operational environment of the modern corporation.
Completion of the programme will provide a sound foundation for those considering continuing their academic development towards a PhD degree in the management disciplines.
The programme is structured in a way that would provide students with a choice between a more quantitative intensive track of modules or a qualitative analytic (business development track) which would reflect students’ personal strengths and preferences and match future career aspirations.
The compulsory modules provide a sound foundation which builds an analytical skillset using relevant statistical and management theories, and supports the development of practical hands-on experience applying the theoretical aspects using real-world data to address corporate challenges and find solutions to actual problems.
The readings in the module will build a sound basis which would allow students to access and understand the academic literature and undertake empirical investigations in the areas of decision modelling and business development.
PROGRAMME LEARNING OUTCOMES
The programme provides opportunities for students to develop and demonstrate knowledge and understanding, skills, qualities and other attributes in the following areas:
Knowledge and understanding -A systematic, in-depth understanding of the development; issues and influences relevant to discipline of Management Decision Making, Management Science, and Data Science. -Deep and thorough understanding of quantitative analytical methodologies and hands-on experience with decision-making software and data management tools. -Knowledge about issues, application and analysis of Big Data -An understanding of the academic research process.
Intellectual / cognitive skills -Demonstrate deep learning, understanding of the material and ability to apply the knowledge and demonstrate skills in problem solving in the topic space of the modules studied -Carry out assessments of data in a repository, select the appropriate analysis tools, design and execute an analytical methodology (not required for PG Certificate), apply adequate visualization methodologies to present the results and interpret the findings and finally to communicate the results effectively to a select audience
Professional practical skills -Demonstrate the ability to independently evaluate critical approaches and techniques relevant to Business Analytics -Know and apply a range of techniques and tools to analyse data related to business operations -Capability of selecting the right methodology and software to solve management and operational business issues -Relate existing knowledge structures and methodologies to analytical business challenges
Key / transferable skills -Conduct critical literature review; to select, define and focus upon an issue at an appropriate level -Develop and apply relevant and sound methodology -Apply the methodology to analyse the issue -Develop logical conclusions and recommendations -Be aware of the limitations of the research -Identify modifications to existing knowledge structures and theoretical frameworks and therefore to prose new areas for investigation, new problems, new or alternative applications or methodological applications
We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.
In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.
Discounts for Surrey graduates
No. of awards TBC
If you are a self-funded UK, EU or international student who has studied for an undergraduate degree at the University of Surrey campus in Guildford, you could be eligible for a ten per cent discount on our taught postgraduate Masters programme fees. This scheme is for applicable to Postgraduate Taught entry students only and is reviewed annually.Students who graduated in 2013 are eligible, as well as alumni from previous years, on receipt of evidence of the award from Surrey and where we can identify that you actually studied in Guildford. Students from SII-DUFE are eligible for this scheme.Associated Institution students are not eligible. Not available to modular self-pacing students.
Value of Scholarship(s)
10% tuition fee discount
If you are a self-funded UK, EU or international student who has studied for an undergraduate degree at the University of Surrey campus in Guildford
If you have any enquiries regarding this matter please contact the Student Fees and Funding Office on [email protected]
Applicants should normally hold a Bachelors degree (UK 2.1 or above) or equivalent qualification from a British or overseas university in a related subject with significant exposure of mathematical subjects: economics, finance, mathematics, computer science or engineering subjects. If an applicant’s Bachelors degree is not in a subject related to the MSc, some relevant work experience would be an advantage. Higher level professional qualifications may also be accepted. Each applicant is assessed on their own merit.
Recipient: University of Surrey
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