MSc Business Analytics and Management
Key Details
- Attendance
- Full Time
- Award
- Degree of Master of Science
- Course Length
- 1 years
- Course Start Date
- September 2024
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Course Overview
Do you want to play a role in the data revolution? Data has been identified as a major source of value, but only for those organisations that can capture, integrate and analyse it, and apply the resulting knowledge to business decisions. This course will give you the skills and knowledge to manage the whole business analytics process, from data to decisions, including delivering the technical and human resources required and managing the legal, regulatory and ethical challenges that emerge. This course will prepare you for a wide range of roles in the new data economy, from management and leadership roles in major corporates, to consulting and contracting roles for organisations of all sizes, and even entrepreneurship and new firm formation. The course also provides you with the option to do a placement with a business, deliver a business sponsored project, or develop a business plan if you wish to start your own business.
The course focuses on the management of the whole business analytics process, from the identification, integration and ‘cleansing’ of data, through various forms of data analysis, to the visualisation and presentation of results and their incorporation into decision-making. Throughout these stages, there is a strong focus on governance and ethics, on the one hand, and the management of the underpinning resources and infrastructure on the other. Throughout the course, the focus is on the practical application of the skills that you learn. Assessment is mainly based around business analytics projects that enable you to test your knowledge against authentic business problems, using real data and deploying cutting edge techniques. While a solid understanding of the application of data science techniques forms a major strand of the course, you will develop a much wider, critical understanding of data management, including the whole data life cycle – from creation and storage, through integration and manipulation, to deletion – and the use (and misuse) of data in decision-making.
Study and Modules
Structure
Your course is designed to provide you with a choice of doing a dissertation, a placement with a business, deliver a business sponsored project, or develop a business plan in your final semester. Depending on the choice you make, you will study the following:
In the first semester:
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You’ll learn about data analytics in business, which will introduce all the key elements of the business analytics process, from problem definition to implementing a solution.
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How digital businesses operate to set business analytics in the wider context of the digital economy and the transformation of business by digital technologies.
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Marketing to introduce you to a key context for the application and development of business analytics.
If you choose to do a dissertation you will study research methods.
In the second semester:
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You will advance your knowledge of analytics to build upon your understanding developed in the first semester. For example, advanced topics include techniques and issues drawn from across the entire business analytics process.
If you choose to do a dissertation in your final semester, you will continue to study research methods. However, if you have opted for a placement with a business, to deliver a business sponsored project, or develop a business plan, you will develop your professional skills.
You will then have the option to study further, for example:
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Human resources
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Managing innovation and technology
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The application of social media
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Digital transformation in business
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Digital policy making in business
In the final semester, you will have the option to complete a dissertation, start a placement with a business, deliver a business sponsored project, or develop a business plan
Compulsory Modules
Optional A Modules
(Credits: 40)Optional B Modules
(Credits: 60)Whilst the University will make every effort to offer the modules listed, changes may sometimes be made arising from the annual monitoring, review and update of modules. Where this activity leads to significant (but not minor) changes to programmes and their constituent modules, the University will endeavour to consult with students and others. It is also possible that the University may not be able to offer a module for reasons outside of its control, such as the illness of a member of staff. In some cases optional modules can have limited places available and so you may be asked to make additional module choices in the event you do not gain a place on your first choice. Where this is the case, the University will inform students.
Teaching and Learning
You will learn through a range of methods and approaches – including lectures, seminars and data labs – but always with a focus on the practical application of your knowledge and skills in real business analytics applications. As in a business context, you will undertake tasks individually and in groups, developing your teamwork and leadership skills. As your confidence in your knowledge and skills grow, you will be challenged to think more critically and analytically, developing your ability to solve novel problems and to identify the affordances and limits of standard analytical techniques. Throughout the course, you will be required to reflect on and justify your decisions and choices, developing a professional mindset.
Assessment
Assessment is mainly through coursework assignments. In most assignments, you will attempt to solve an authentic business problem for a client, developing a portfolio of analytics work. Each assignment will be completed by a reflection on your experience to identify how you could improve your practice. Each assignment will be supported by formative assessment – assessment for learning – that will give you a chance to test your skills and knowledge, prior to summative assessment – assessment of learning – so you have a chance to improve.
Entry Requirements
- Degree Classification
- UK Bachelor degree - 2.1 or equivalent
- Degree Subject
- A social science degree (eg. economics, psychology, business, management, marketing, logistics and supply chain management or Law) with a substantial quantitative element, or a science discipline degree (eg. maths, physics, or computer science). Additionally, you will have a strong interest in data analysis and the use of analytics to resolve business and management problems. You should feel comfortable with data handling and statistics. You should also feel confident in your verbal and written communication using words, numbers, and images.
- English Foreign Language
Applications from students whose first language is not English are welcome. We require evidence of proficiency in English (including writing, speaking, listening and reading):
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IELTS: 6.0 overall with a minimum 6.0 in Writing & Speaking and 5.5 in Listening & Reading.
Test dates should be within 2 years of the course start date.
We also accept a number of other English language tests. Review our English Language Equivalencies for a list of qualifications that we may accept to meet this requirement.
If you do not yet meet the English language requirements for this course, INTO UEA offer a variety of English language programmes which are designed to help you develop the English skills necessary for successful undergraduate study:
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- Intakes
This course is open to UK and International applicants. The annual intake for this course is in September each year .
Additional Information or Requirements
Additional Entry Requirements
INTO University of East Anglia
If you do not meet the academic requirements for this course, you may be able to study the International Pre-Masters programme offered by our partner INTO UEA. This programme guarantees progression to selected Master's degrees if students achieve the appropriate grade. For more details, please click here:
International Pre-Masters in Business, Economics and Social Sciences
Admissions Policy
Our Admissions Policy applies to the admissions of all postgraduate applicants.
Fees and Funding
Tuition fees for the Academic Year 2024/25 are:
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UK Students: £12,900 (full time)
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International Students: £22,700 (full time)
If you choose to study part-time, the fee per annum will be half the annual fee for that year, or a pro-rata fee for the module credit you are taking (only available for Home students).
We estimate living expenses at £1,023 per month.
Further Information on tuition fees can be found here.
Scholarships and Bursaries
The University of East Anglia offers a range of Scholarships; please click the link for eligibility, details of how to apply and closing dates.
Course Related Costs
Please see Additional Course Fees for details of course-related costs.
How to Apply
Applications for Postgraduate Taught programmes at the University of East Anglia should be made directly to the University.
To apply please use our online application form.
FURTHER INFORMATION
If you would like to discuss your individual circumstances prior to applying, please do contact us:
Postgraduate Admissions Office
Tel: +44 (0)1603 591515
Email: admissions@uea.ac.uk
International candidates are also encouraged to access the International Students section of our website.
Employability
After the Course
Business analytics has applications in all business sectors, across the public, private and third sectors, and across all major business functions (Marketing, Finance, Operations, HRM, etc.). The course will help you to build a portfolio of professional assignments that employers love to see, demonstrating your competencies and thinking.
Careers
A degree at UEA will prepare you for a wide variety of careers. We've been ranked 1st for Job Prospects by StudentCrowd in 2022.
Examples of careers that you could enter include:
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Manager of corporate data analytics function
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Business analytics consultancy
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Data-based business entrepreneur
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Digital marketing executive
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Information/data management
Discover more on our Careers webpages.