MSc Business Analytics and Decision Sciences 2016

Develop your analytical skills to provide insights for successful management decisions

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Key facts

Start date:
September 2016
Duration:
12 months full time
Entry requirements:
A bachelor degree with a 2:1 (hons) Full entry requirements.
Language requirements:
IELTS 6.5 overall, with no less than 6.0 in any component Full language requirements.
UK/EU fees:
£10,000
International fees:
£19,000
Overview

Businesses are increasingly collecting large amounts of information about their customers and activities. This ‘big data’ is big news with the media, businesses and government as they consider how to use this mass of information in a meaningful way.

Analysts use their expertise to make sense of this information and interpret it, enabling evidence-based business decisions. As a result, they’re in high demand with employers in every sector.

This programme gives you an insight into business analytics and explores how organisations can exploit the big data revolution. You’ll develop decision-oriented, quantitative analytical skills in a management context, and learn to sift intelligence from the growing volume and variety of data collected on many aspects of life.

Combining theoretical concepts with practical application, you’ll develop a unique mix of quantitative and behavioural skills relevant to data analyses, effective decision-making and management.

Academic excellence

You’ll be taught by internationally recognised academics and business practitioners from our Centre for Decision Research, who are actively engaged in the latest research, advising businesses, governments and international bodies. They share this expertise and knowledge with you in the classroom.

We’re also renowned as a major centre for consumer data analysis – the national Consumer Data Research Centre is jointly hosted by the University of Leeds alongside partners from across the UK.

With the new Leeds Institute for Data Analytics on campus, the University of Leeds has a growing wealth of expertise and resources in data sciences.

Course content

This programme will build your knowledge and understanding of how business analytics can provide evidence to support management decision-making. You’ll learn how to use different evidence-based approaches to make effective decisions, developing your skills in quantitative analysis.

You’ll consider advanced techniques such as forecasting and have the opportunity to apply your decision-making skills to real-life business and management scenarios. With the support of leading researchers in this constantly shifting landscape, you’ll also gain an understanding of research methods.

A range of optional modules allows you to gain specialist knowledge that suits your interests or career plans. You could focus on behavioural finance, information management, risk perception and a variety of other business topics.

The course culminates in a 12,000 word dissertation or project, enabling you to apply the knowledge and skills you’ve gained from the course and develop it further.

Course structure

These are typical modules/components studied and may change from time to time. Read more in our Terms and conditions.

You’ll take eight compulsory modules and select another three options from the list below.

Compulsory modules
Optional modules
- Effective Decision Making
- Advanced Management Decision Making
- Business Analytics and Decision Science
- Forecasting and Advanced Business Analytics
- Evidence Based Consultancy
- Research Methods
- Quantitative Analysis
- Dissertation
- Behavioural Finance
- Risk Perception and Communication
- Managing Global Logistics and Supply Chains
- Operations and Supply Chain Management
- Managing and Designing Value Chain Networks
- Information Tools for Organisations
- Challenges in Information Management
- Designing Information Systems

For more information on typical modules, read Business Analytics and Decision Sciences MSc in programme catalogue

Learning and teaching

You’ll experience a range of teaching and learning methods including lectures, seminars and computer classes.

Optional modules may also use other methods such as tutorials or practicals. Independent study is also vital to this programme, allowing you to develop your skills and prepare for taught sessions and assessments

Assessment

We use assessment methods such as exams, research proposals and essays.

Optional modules may use other methods such as written assignments, computer classes, tutorials or presentations.

Applying, fees and funding

Entry requirements

A bachelor degree with a 2:1 (hons) in any subject, but with a sound grounding in quantitative subjects studied as part of that degree, e.g. statistics, management science, computer science or mathematics. In exceptional circumstances, outstanding performance in mathematics and/or statistics at pre-university level may be considered.

International qualifications

We accept a range of international equivalent qualifications

English language requirements

IELTS 6.5 overall, with no less than 6.0 in any component. For other English qualifications, read English language equivalent qualifications.

Improve your English

If English is not your first language, you may be able to take a pre-sessional course before you begin your studies. This can help if you:

  • don't meet the English language requirements for your course
    or
  • want to improve your understanding of academic language and practices in your area of study.

Our pre-sessional courses are designed with a progression route to the degree programme and are tailored to the subject area. For information and entry requirements, read Language for Business Management and Enterprise (6 weeks) and Language for Business: Business Management and Enterprise (10 weeks).

How to apply

Application deadlines

UK/EU: 31 August 2016

International: Closed for 2016 entry

Apply

This link takes you to information on applying for taught programmes and to the University's online application system.
 
If you're unsure about the application process, contact the admissions team for help.

Documents and information you’ll need

  • A copy of your degree certificate and transcript, or a partial transcript if you’re still studying
  • Two academic references
  • A personal statement
  • An up-to-date CV
  • Evidence of your English language qualifications, if English is not your first language
  • A letter of sponsorship, if you need one.

Read about visas, immigration and other information in International students. We recommend that international students apply as early as possible to ensure that they have time to apply for their visa.

Admissions policy

Leeds University Business School 2016 Taught Postgraduate Admissions Policy

Fees

UK/EU: £10,000

International: £19,000

For fees information for international taught postgraduate students read Masters fees.

Read more about paying fees and charges.

Scholarships and financial support

We award a range of scholarships to UK/EU and international students. There are several scholarships available for this programme that you may be eligible to apply for.

Scholarships are available to candidates who can demonstrate an excellent academic record and show excellent professional and personal skills.

Find out more about scholarships.

Career opportunities

Graduates of the MSc Business Analytics and Decision Sciences can expect to have the quantitative skills to analyse complex business information, and use the resulting intelligence to inform business decisions.

You will be ideally placed to pursue a career in analytics and decision making, general and specialist management roles in a range of industries, or as business or market analysts.

Employers in both private and public sectors are actively seeking graduates with these skills, and trends show that the career opportunities are fast increasing. The role of the data scientist was described as the 'Sexiest Job of the 21st Century' by the Harvard Business Review.

Demand for experts in business analytics is growing rapidly and the University of Leeds is at the forefront of developments in this area.

Read more about Business Analytics at Leeds.

Links with industry

Students have the opportunity to develop leadership skills as part of our Leaders in Residence programme, which gives management students the opportunity to engage with senior figures from the world of business. This is a rare opportunity where successful and established business people will help you connect the theory of your course to real world practice, and offer their advice for career success.

You will be able to connect with leaders from a range of firms including major manufacturers and retailers, charity chief executives, entrepreneurs and directors of companies large and small, through structured meetings and events. This typically includes mentoring sessions, workshops, social events, guest lectures and professional skills development.

Careers support

We help you to achieve your career ambitions by providing professional development support as part of the Masters programme. You benefit from our dedicated Professional Development Tutor, who will work with you to develop the important professional skills that employers value.

Read more about our careers and professional development support.

The degree has opened doors into the analytics and data science job field for me, several companies admitted during recent interviews that there is a real gap in people having these skills.

Mr Aritad Choicharoon, Thailand
MSc Business Analytics and Decision Sciences
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I have studied many modules that are related to analytics and IT management, which have helped me to build my data analytics skills by introducing various tools used in IT and the analytics industry.

Nitin Jain, India
MSc Business Analytics and Decision Sciences
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The number of universities offering this programme in Europe is quite limited, and I found the combination with analytics to be particularly thought provoking.

Louisa O'Brien, United Kingdom
MSc Business Analytics and Decision Sciences
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I enjoy working with students from various nationalities, it’s a great cultural learning experience. I also enjoy the seminars - it is really helpful to experience the practical things.

Saptarshi Ray, India
MSc Business Analytics and Decision Sciences
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