Business Analytics MSc | Coventry University

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Business Analytics MSc 2018/19 entry

Course code:


Study options:

1 year full-time
2 years part-time

How to Apply

Coventry University


September 2018



Get in touch

For questions regarding study and admissions please contact us:

+44 (0) 24 7765 2152


In today’s data-driven world, more and more companies are realising the powerful insight which can be gleaned from analysing all available data and the competitive advantage this can create.

This innovative Master’s programme responds to the growing demand and significant shortage of highly-trained analysts capable of interpreting data to find new patterns and relationships, informing business decisions accordingly. You will learn to generate value from large data sets, which cannot be analysed using traditional techniques.

With over 5,000 students, Coventry University is one of the largest business schools in Europe and has been rated ‘excellent’ by Eduniversal. Our impressive global network is vast and varied. Through guest speakers, industry visits, case studies and internship opportunities, we aim to use these links to share their real-world business experiences and bring you up-to-speed with the issues and challenges facing modern businesses.

Why Coventry University?

An award-winning university, we are committed to providing our students with the best possible experience. We continue to invest in both our facilities and our innovative approach to education. Our students benefit from industry-relevant teaching, and resources and support designed to help them succeed. These range from our modern library and computing facilities to dedicated careers advice and our impressive Students’ Union activities.

Global ready

An international outlook, with global opportunities


Career-ready graduates, with the skills to succeed

Student experience

All the support you need, in a top student city

Accreditation and Professional Recognition

This course is accredited and recognised by the following bodies:

European Foundation for Management Development (EFMD)

Chartered Association of Business Schools (CABS)

Course information

The course has been specifically designed to give a structured understanding of business analytics and the practical tools, which can drive business advantage. We’ll teach you how to analyse business data and solve business problems analytically.

We start by providing an overview of big data and business analytics and its context in a business environment where data is rapidly becoming one of the most valuable assets. We will introduce you to the historical context and growth of big data, as well as the characteristics defining big data. We also encourage you to consider the social, ethical and legal implications of handling, storing and using all manner of datasets.

We then focus on the underpinning analytical techniques and tools used to analyse and interpret data, forecast future trends, automate and streamline decisions and optimise courses of action. This includes statistical analysis, data mining, forecasting and regression, optimisation, simulation and spreadsheet modelling. You should also gain a deeper understanding of the value and benefits of different analytical techniques for advanced decision-making and how they can be used to identify patterns, relationships, associations, factors and clusters.

Finally, we consider how to apply methods and techniques to specific business functions, such as an organisation’s value chain, marketing activities, general operations or financial planning. For example, we will consider how to assess financial performance and economic conditions of a business, identifying relevant costs for short-term and long-term decision-making. Emphasis is given to the increasingly important aspect of supply chain and logistics management, examining current trends in lean and agile management, as well as traditional areas such as procurement, inventory management, transportation and warehousing.



In your final semester, you can opt to apply for a company internship (subject to application and availability) or continue through the normal dissertation route.

This course includes the Global Professional Development module. Each of the participating postgraduate courses have an individually tailored version of the Chartered Management Institute (CMI) Global Professional Development module.


  • Semester 1

    • Current Issues in Big Data and Business Analytics
    • Business Statistics
    • Data Mining Methodologies and Applications
    • Business Modelling
  • Semester 2

    • Applied Marketing Analytics
    • Operations Analytics
    • Financial Analysis for Decision Making
    • Global Supply Chain and Logistics
    • Global Professional Development - Consultancy
  • Semester 3

    • Company internship or dissertation

In more detail...

  • Opportunity to apply for a company internship (subject to satisfactory academic performance and availability).
  • Coventry University is ranked 20th in the UK for ‘Business, Management and Marketing’ in the 2018 Guardian University Guide.
  • Innovative, interactive teaching features business simulations and software to gain practical insights into business problems and IT solutions.
  • High levels of student satisfaction for ‘Business’ – 88% overall, above the sector average of 80% (Postgraduate Taught Experience Survey 2016).
  • Our guest speaker programme has also drawn in prominent speakers from the field of international business in recent times to share their knowledge and experiences with students.
  • Field trips to multinational organisations within a range of sectors and industries. Recent visits have included a visit to Jaguar Land Rover and Manchester United in the UK as well as visits to New York in the United States; Berlin, Germany; Paris, France among others (additional costs may apply).

Facilities include our trading floor, featuring 42 dual screen Bloomberg terminals.

Your main study themes are:

  • Business analytics: Businesses hold large quantities of structured data within spreadsheets and unstructured data in other sources, such as websites and forums. We will introduce the business and statistical concepts, analytical techniques and approaches for modeling and mining such data. This includes text mining and advanced spreadsheet modeling tools and techniques using SPSS and Excel functions, macros and appropriate built-in add-ins. You will gain a solid quantitative foundation alongside practical problem-solving techniques. 

  • Financial analytics: Focuses on developing your ability to interpret and use financial information within the strategic framework of a business. You will be introduced to the key concepts of managerial accounting, alongside practical tools for assessing the financial performance and economic condition of a business. We will examine the choice of financial and non-financial measures for identifying costs or evaluating the performance of business units or divisions. Considerable emphasis will be on the financial reports of real-world public companies. 

  • Marketing analytics: Introduces you to commonly used techniques in the collection of marketing and consumer research information. We consider how to evaluate the impact of marketing initiatives and maximise the effectiveness and performance of marketing strategies and decisions. 

  • Operations analytics: To take advantage of potentially useful digital information and advanced data collecting technologies, firms are changing the way in which they make business decisions, plan and control their operations. We will consider areas of operations management where analytics may add considerable value, focusing on how data can be used to match supply and demand in various business and operational settings. You will learn various predictive analytic techniques and develop quantitative skills in operational areas of business, including demand planning, inventory management and logistics management.

  • Global Supply Chain and Logistics:  This can enhance your understanding of supply chain networks and the importance of supply chain management. Current logistical trends such as lean management of the logistics and supply chain function will also be analysed.

This course can be studied full-time over one year and may also be taken part-time over two years. You can start in January, May or September.

As well as traditional teaching and learning methods, such as lectures, workshops and seminars, specific subjects adopt a mix of experimental approaches to facilitate richer deeper learning.

A variety of technologies will be used to teach this course, including SPSS, NVivo and a range of databases to support effective searching, selection and analysis of different data sources. You will be exposed to real-life case studies and may be given the opportunity to participate in range of field trips and industry visits.

Achievement of learning outcomes in the majority of taught modules is assessed by a combination of coursework assignments, policy documents, verbal exams, presentations plus University examinations set in January or May. Modules in the course are assessed by a combination of coursework and examination or presentations. Modules are mostly 15 credits and the MSc Project (dissertation, placement and internship) is worth 50 credits.

An estimated percentage breakdown of your final grade assessment is as follow:

  • Dissertation/Management Consultancy Project: 30%
  • Reports: 30%
  • Practical coursework: 15%
  • Presentations: 10%
  • Formal examinations: 10%
  • Portfolio: 5%

On the successful completion of 180 level Masters credits, awards may be made with a ‘Distinction’ or ‘Merit’, based on the achievement of an average mark of at least 70% or 60% respectively. Students may be awarded the Postgraduate Diploma (PgDip) if they achieve 120 credits and a Postgraduate Certificate (PgCert) if they achieve 60 credits. Students may only progress to the final stage of Masters programmes after meeting the requirements for award of a Postgraduate Diploma.

15% assessed by practical coursework

On successful completion, you should have knowledge of:

  • The context within which big data and business analytics resides, including; value, variety, velocity, veracity, volume, complexity, variability, ethical and technological issues of big data.
  • Data mining techniques such as market basket analysis, social media analysis, customer segmentation, web analytics.
  • The uses and limitations of a range of data mining techniques and methodologies that can be applied to inform business decision-making.
  • Global supply and logistics management and the various methods by which organisations can improve and sustain performance.
  • Operations analytics including forecasting and inventory control. 

On successful completion, you should 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 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.

In a typical week you will have up to 12 ‘contact’ hours of teaching. This generally breaks down as follows:

  • Medium group teaching: 4 hours of practical classes, workshops or seminars each week.
  • Large group teaching: 8 hours of lectures each week.

In addition, you will be expected to undertake a further 28 hours of self-directed studying and revising in your own time each week, including some guided study using handouts, online activities etc.

The course naturally has an intercultural and international focus as its staff and students come from a wide range of different nationalities, from Germany, India, Taiwan, Japan, Italy or South Korea. Team work, discussions and group presentations encourage sharing of ideas and knowledge between students of diverse backgrounds. We also draw on a range of international case studies and examples.

Furthermore, the Centre for Global Engagement (CGE) is Coventry University’s dedicated service that supports students’ international experience. Whether you are interested in studying abroad or would like to gain some work, volunteering or teaching experience in the UK, Europe or beyond, CGE is here to make it a reality.

Global ready

Did you know we help more students travel internationally than any other UK university according to data from the experts in higher education data and analysis, HESA?

In 2014/15, we were able to provide a total of 2,264 student experiences abroad that lasted at least five days, 73% of which were our own organised trips for undergraduates and 27% from postgraduate travel. Plus, we've been able to help more than 5,000 students spend time in other countries, from America to China, India and beyond.

Much of this travel is made possible through our Global Leaders Programme, which enables students to prepare for the challenges of the global employment market, as well as strengthening and developing their broader personal and professional skills.

Explore our international experiences

1st for

international experiences

Sending more students overseas than any other UK uni (HESA)


Student experiences

The number of student trips abroad for at least 5 days in 2014/15


and counting

The number of students we’ve helped travel internationally so far


global programmes

As well as trips, we offer other opportunities like language courses

Entry Requirements

Applicants will normally hold a good honours degree in a relevant academic discipline. Applications from candidates with relevant experience will be considered on an individual basis.

Applicants will normally hold a good honours degree in a relevant academic discipline. Applications from candidates with relevant experience will be considered on an individual basis.

Our International Student Hub offers information on entry requirements for your country, as well as contact details for agents and representatives should you need more advice.

More detail

Applicants will normally hold a good honours degree in a relevant academic discipline. Applications from candidates with relevant experience will be considered on an individual basis.

Our International Student Hub offers information on entry requirements for your country, as well as contact details for agents and representatives should you need more advice.

More detail

Tuition Fees

We pride ourselves on offering competitive tuition fees which we review on an annual basis and offer a wide range of scholarships to support students with their studies. Course fees are calculated on the basis of what it costs to teach each course and we aim for total financial transparency.



September 2018

£10,650 (per year)


If you're a truly outstanding undergraduate candidate we may be able to offer you a Coventry University Scholarship. Coventry University Scholarships are awarded to recognise truly exceptional sports achievement and academic excellence.



September 2018

£10,650 (per year)


For the September 2017 and January 2018 intakes, we're investing £1 million into scholarships for high achieving and enterprising students.

Our scholarships are worth up to £10,000 and every student that applies will be considered. Fulfil your potential this academic year with Coventry University!



September 2018

£15,050 (per year)


For the September 2017 and January 2018 intakes, we're investing £1 million into scholarships for high achieving and enterprising students.

Our scholarships are worth up to £10,000 and every student that applies will be considered. Fulfil your potential this academic year with Coventry University!

Career prospects

Consultants at McKinsey have predicted that the United States alone faces a shortage of 1.5 million managers and analysts with the skills to understand and make decisions based on the analysis of big data.

Today, organisations in almost every sector and across the world are seeking to capitalise on the benefits of data-driven decision-making.

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. You could enter professions such as management consultants, business analysts, policy analysts, market researchers, operations researchers and data scientists. Alternatively, you could work in public, private and 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.

Coventry University is committed to preparing you for your future career and giving you a competitive edge in the graduate job market. The Faculty’s Careers and Employability team provide a wide range of support services to help you plan and prepare for your career.


By accepting your offer of a place with us, a Student Contract (“the Contract”) will be formed between you and the University. The Contract will detail all of your rights and also the obligations you will be bound by during your time as a student and will also contain all of the obligations that the University owes to you.  We would encourage you to read the Student Contract before you accept any offer of a place at the University. A copy of the Contract can be found here.