Business Analytics MSc

Study level: Postgraduate
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This course responds to the current growing demand and a significant shortage of highly trained analysts capable of interpreting data to find new patterns and relationships, informing business decisions accordingly to drive growth and successful business performance.

Year of entry

Location

Coventry University (Coventry)

Study mode

Full-time
Part-time

Duration

1 year full-time
2 years part-time

Course code

FBLT159

Start date

January 2025
May 2025


Course overview

This course aims to teach you how to perform data collection, transformation, and organisation in order to draw conclusions, make predictions and drive informed and smart business decision making.

During this course you will have the chance to:

  • Develop quantitative and data mining skills to solve business problems as well as data visualisation skills using appropriate software and programming language.
  • Learn to generate value from Big Data, which cannot be analysed using traditional techniques.
  • Apply theory to practical situations through case studies and projects from industry.
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5 QS Stars for Teaching and Facilities

QS Stars University Ratings

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Ranked 11th Modern University in UK by the Times

The Times and Sunday Times Good University Guide 2025

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Ranked 8th for Overall Satisfaction in PTES

Postgraduate Taught Experience Survey (PTES) 2024

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. 
  • Gain hands-on experience of up-to-date technology including SPSS and NVivo, with access to multiple data resources.
  • Coventry University is currently a Chartered Institute of Marketing (CIM) accredited1 study centre which provides the opportunity, upon successful completion of this course, to top up your master’s to obtain the CIM Professional Diploma in Marketing qualification. Criteria, application and fees apply.

Accreditation and professional recognition

This course is accredited1 and recognised by the following bodies:

CMI logo

Chartered Management Institute (CMI)

As part of this course, you will undertake a professional development module currently accredited by the Chartered Management Institute for the 2024-25 intake. Upon successful completion of this module (achieving a pass grade), you will be eligible for the CMI Level 7 Certificate in Strategic Management and Leadership Practice at no additional cost.

Coventry University’s accreditation with CMI is currently ongoing for the relevant modules and is regularly reviewed and monitored by the CMI through its quality systems.


Institute of Analytics Accredited Programme logo

Institute of Analytics (IoA)

The course is currently accredited by the Institute of Analytics (IoA), a professional body of analytics and data science professionals working in the UK and international. The accreditation is ongoing for the entire course and is regularly reviewed and monitored by IoA through their quality systems.


Memberships

European Foundation for Management Development (EFMD)

Coventry Business School is currently an active member of the European Foundation for Management Development, a global membership organisation dedicated to management development, covering over 900 members across 91 countries.

Chartered Association of Business Schools (CABS)

Coventry Business School is currently an active member of the Chartered Association of Business Schools, which has a membership of over 120 business schools and higher education providers, and supports its members in maintaining world-class standards of teaching and research.

The course has been a life-changing and enriching experience. A culture of creativity and critical thinking was promoted by the collaborative learning environment. The course has helped me develop my analytical skills and set me up for success in the fast-paced industry of business analytics.

Saily Vijay Shirodkar, Business Analytics MSc and Course Rep, March 2024
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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.

Modules

We regularly review our course content, to make it relevant and current for the benefit of our students. For these reasons, course modules may be updated.


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. Please request information about studying this course part-time.


Teaching contact hours

The number of full-time contact hours may vary from semester to semester, however, on average, it is likely to be around 12 contact hours per week. Additionally, you will be expected to undertake roughly 21 hours of self-directed study per week, depending on the demands of individual modules.

The contact hours may be made up of a combination of face-to-face teaching, individual and group tutorials, and online classes and tutorials.

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.

Since COVID-19, we have delivered our courses in a variety of forms, in line with public authority guidance, decisions, or orders and we will continue to adapt our delivery as appropriate. Whether on campus or online, our key priority is staff and student safety.


Assessment

This course will be assessed using a variety of methods which will vary depending upon the module.

Assessment methods include:

  • Formal examinations
  • Phase tests
  • Essays
  • Group work
  • Presentations
  • Reports
  • Projects
  • Coursework
  • Exams
  • Individual Assignments

The Coventry University Group assessment strategy ensures that our courses are fairly assessed and allows us to monitor student progression towards achieving the intended learning outcomes.


Entry requirements

Typical offer for 2024/25 entry.

Applicants should hold an honours degree 2:2 or above in a relevant academic discipline. Applications from candidates with relevant experience will be considered on an individual basis.

We recognise a breadth of qualifications, speak to one of our advisers today to find out how we can help you.

Select your region to find detailed information about entry requirements:


You can view our full list of country specific entry requirements on our Entry requirements page.

If you do not have the typical entry requirements, you may want to consider studying this course with an international pre-master's. Upon successful completion our International Pre-Master's - Business will provide you with the knowledge and skills you need to progress onto this postgraduate degree.

Alternatively, visit our International hub for further advice and guidance on finding in-country agents and representatives, joining our in-country events and how to apply.

Typical entry requirements

Applicants should hold an honours degree 2:2 or above in a relevant academic discipline. Applications from candidates with relevant experience will be considered on an individual basis. We recognise a breadth of qualifications; speak to one of our advisers today to find out how we can help you.

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. 

For more information on our approved English language tests visit our English language requirements page.


Fees and funding

2024/25 tuition fees.

Student Full-time Part-time
UK, Ireland*, Channel Islands or Isle of Man £11,200   Request fee information
EU £11,200 per year with EU Support Bursary**
£20,050 per year without EU Support Bursary**
Not available
International £20,050   Not available

For advice and guidance on tuition fees3 and student loans visit our Postgraduate Finance page and see the university's Tuition Fee and Refund Terms and Conditions.

We offer a range of International scholarships to students all over the world. For more information, visit our International Scholarships page.

Tuition fees cover the cost of your teaching, assessments, facilities and support services. There may be additional costs not covered by this fee such as accommodation and living costs, recommended reading books, stationery, printing and re-assessments should you need them.

The following are additional costs not included in the tuition fees:

  • Any optional overseas field trips or visits: £400+ per trip.
  • Any costs associated with securing, attending or completing a placement (whether in the UK or abroad).

*Irish student fees

The rights of Irish residents to study in the UK are preserved under the Common Travel Area arrangement. If you are an Irish student and meet the residency criteria, you can study in England, pay the same level of tuition fees as English students and utilise the Tuition Fee Loan.

**EU Support Bursary

Following the UK's exit from the European Union, we are offering financial support to all eligible EU students who wish to study an undergraduate or a postgraduate degree with us full-time. This bursary will be used to offset the cost of your tuition fees to bring them in line with that of UK students. Students studying a degree with a foundation year with us are not eligible for the bursary.


Facilities

We have a range of facilities4 available to support you in putting the theories you are taught, into practice such as: 

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The Trading Floor

The Trading Floor is an invaluable facility that allows you to get hands-on with industry-standard software. Featuring contemporary dual-screen Bloomberg terminals, the facility adds a dynamic practical element to your course.

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sigma Centre

sigma is housed in our Lanchester Library and offers maths and statistics support through drop-in sessions and bookable appointments.

 

 

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Business Simulation Suite

The Business Simulation Suite aims to provide and support skill-based training through the use of simulation games, role-play activities, and scenario-based learning..


Careers and opportunities

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.

On successful completion of the course 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.

The program's emphasis on practical applications has equipped me with the ability to analyse complex data, extract meaningful insights, and drive data-informed decision-making. I am eager to leverage my newfound expertise to make a significant contribution to the business world and drive innovation through the power of data as a business analyst.

Grace Chan, Business Analytics MSc, March 2024
Grace portrait

How to apply

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