Business Analytics MSc

Why you should study this course
 

In a competitive global market, businesses need skilled analysts who can not only forecast future results, but also test previous decisions and strategies, explaining why certain results occurred.
 

• This course has been specifically designed to provide a real-world context and develop a structured understanding of business analytics. You can learn to apply descriptive and predictive modelling techniques to help organisations improve performance, explore alternatives and understand business data in a rapidly changing world.
   

• It is aimed at people with good numerical skills, who want the opportunity to build and develop quantitative and data mining skills to solve business problems, by analysing data and converting that information into a strategic asset. 

What you'll study
 

During this course, you will have the chance to study modules which give you a structured understanding of business analytics, as well as an overview of the practical tools which can be used to help a business gain an advantage in the marketplace.

 

• Current Issues in Big Data and Business Analytics - 15 credits
   

  This module is about developing the business sense of big data and business analytics. It will introduce you to the historical context and growth of big data as well as the characteristics defining big data. You will also be made aware of the social, ethical and legal implications of handling, storing and using such large quantities of data of different formats.
   

• Business Statistics - 15 credits
   

  This module will introduce the fundamental statistical concepts and techniques, which are applicable in a data driven business environment. It aims to give you a solid quantitative foundation alongside practical problem-solving techniques, as well as background knowledge in data analysis and analytical approaches to tackling business problems.
   

• Data Mining Methodologies and Applications - 15 credits
   

  This module introduces the development of data mining techniques and how organisations analyse the large volume of data to make effective decisions. In summary this module will provide effective skills to be applied in business analytics.
   

• Business Modelling - 15 credits
   

  This module introduces business concepts, analytical techniques and approaches for modelling structured and unstructured business data, for informed and advanced decision making. The module will introduce you to advanced spreadsheet modelling tools and techniques. For modelling unstructured data, text mining will be taught using content analysis tools.
   

• Applied Marketing Analytics - 15 credits
   

  Marketing analytics comprises and applies the processes and statistical techniques that enable practitioners and researchers to evaluate the impact of marketing initiatives and to maximise the effectiveness and performance of marketing strategies and decisions. This module covers major marketing data analysis concepts and practical applications of different data analysis methods.
   

• Operations Analytics - 15 credits
   

The Operations Analytics module aims to introduce you to important areas within operations management where analytics may add considerable value. The module specifically focuses on how data can be used to match supply and demand in various business and operational settings.
 

• Financial Analysis and Decision Making - 15 credits
   

  This module is designed to develop your ability to interpret and use financial information within the strategic framework of a business. It is orientated toward the user rather than the preparer of corporate financial statements. It will examine the choice of financial and non-financial measures for evaluating the performance of business units or divisions.
   

• Global Supply Chain and Logistics - 15 credits
   

  This module provides knowledge and a thorough understanding of the management of the distribution and logistics function in contemporary organisations. The module will introduce the core concepts and theories that are pre-requisite for the successful management of logistics within the overall context of the organisation. Other areas explored will include procurement, inventory management, transportation and warehousing.
   

• Leading Strategic Change through Creativity and Innovation - 10 credits
   

  The aim of this module is for you to critically evaluate and develop solutions to complex, inter-related, multi-faceted issues that can be found in a variety of organisations and professional contexts. The module will normally involve students working together, across disciplines and or from a range of workplace settings, to facilitate an appreciation of how different sectors solve internal issues and how different sectors can learn, adopt or adapt solutions from other fields.
   

• Dissertation/Consultancy Project - 50 credits
   

  In this module, you will carry out a substantive piece of individual research into a business or financial management issue. You will be expected to draw upon the knowledge acquired, and the intellectual, technical and analytical skills developed during the course.
   

With professional experience option
 

The professional experience opportunity2 enables you the opportunity to apply for optional professional experience in semester 1, which, upon successfully securing an opportunity, will extend the duration of your master’s to either 16, 20 or 24 months. The professional experience provides an opportunity for you to develop expertise and experience in your chosen field with the aim of enhancing your employability. 
 

Please note that the optional professional experience modules incur an additional tuition fee, for which 1 semester of professional experience is £1,333.33, for 2 semesters of professional experience is £2666.67, and for 3 semesters of professional experience is £4,000.
 

Professional experience may also be subject to additional costs, visa requirements being met, subject to availability and/or competitive application. Professional experience opportunities are not guaranteed but you will benefit from the support of our Talent Team in trying to find and secure an opportunity.
 

How you'll learn

Teaching methods include:
 

• Lectures
   

• Seminars
   

• Tutorials
   

• Presentations
   

• Group projects
   

• Workshops
   

This course can be studied on a full-time or part-time basis. Whilst we would like to give you all the information about our part-time offering here, it is tailored for each course each year depending on the number of part-time applicants. Therefore, the part-time teaching arrangements vary.
 

As an innovative and enterprising institution, the University may seek to utilise emerging technologies within the student experience. For all courses (whether on-campus, blended, or distance learning), the University may deliver certain contact hours and assessments via online technologies and methods.

UK

Applicants should hold a good honours degree 2.2 or above in a relevant academic discipline, such as finance, accounting or economics. Applications from candidates with relevant experience will be considered on an individual basis.

English language requirements

IELTS: 6.5 overall, with no component lower than 5.5. 
If you don't meet the English language requirements, you can achieve the level you need by successfully completing a pre-sessional English programme before you start your course. 

UK

£14,550 per year

International 

£18,250 per year 

International Pathways 2022 Scholarship

You could enjoy a £3,000 reduction in tuition fees.

Our high-quality foundation, international year one and pre-masters courses are for international students who do not meet the requirements for direct entry to their preferred Coventry University undergraduate or postgraduate course. We can support you to achieve the academic and/or English grades you need and help you gain the personal and professional skills required to study at university.

We want to encourage ambitious international students like you to study at Coventry University, so we’ve secured extra financial support for you worth £3,000, to help with the cost of tuition fees, living expenses and accommodation.

The scholarship application deadline is:

September 2022 intake: 31 July 2022

Successful completion of this course should enable you to enter the field of business analytics and consultancy in small, medium, or large organisations across the globe.
 

On successful completion of this course, you will have knowledge of:
 

• The context within which big data and business analytics resides, including value, variety, veracity, volume, complexity, ethical and technological issues of big data.
   

• Data mining techniques such as market basket analysis, social media analysis and web analytics.
   

• The uses and limitations of a range of data mining techniques and methodologies.
   

• Global supply and logistics management.
   

• Operations analytics including forecasting and inventory control.

You will be able to:
 

• Apply business analytical techniques and methodologies in an organisational context.
   

• Select and apply appropriate models and techniques to best analyse structured and unstructured data.
   

• Use relevant communication and information technologies for application in business analytics and to communicate results for effective decision-making.
   

• Apply appropriate analytics to analyse market data, to address marketing questions such as a market forecasting.
   

• Assess financial performance and economic conditions of an organisation and key concepts of management accounting
   

You could enter professions such as management consultants, business analysts, policy analysts, market researchers, operations researchers and data scientists. Alternatively, you could work in the public, private or voluntary sectors where such analytical skills would give organisations competitive advantage.
 

We aim to develop your capabilities in creative problem solving, strategic thinking, effective communication and research, all directly relevant to employers and of great value when seeking future employment.