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Business Analytics and Decision Sciences MSc

Business Analytics and Decision Sciences MSc

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Business Modelling / Analysis Management Planning

Course type

Taught

Course Summary

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, interpret it and uncover hidden patterns and important insights, enabling evidence-based business decisions. As a result, they’re in very high demand with employers on the lookout for analysts 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.

Learning and teaching

We use a variety of teaching and learning methods to help you make the most of your studies. These will include lectures, seminars, workshops, online learning, computer classes and tutorials.

Independent study is also vital for this course allowing you to prepare for taught classes and sharpen your own research and critical skills.

Assessment

Assessment methods emphasise not just knowledge, but essential skills development too. You’ll be assessed using a range of techniques including exams, group projects, written assignments and essays, in-course assessment, group and individual presentations and reports

Careers Support

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. Our recent graduates are now working in roles such as a business analyst at eBay, the Head of Information at an NHS trust, business analyst at Transport for London, operational researcher with The Home Office, business analyst at Capital One, dat aand analytics consultant at KPMG, operational research analyst for the Department of Health and advisor in business intelligence for Dell International LLC.

Employers in both private and public sectors are actively seeking graduates with these skills, and trends show that the career opportunities are fast increasing.

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

Different course options

Study mode

Full time

Duration

12 months

Start date

SEP-20

Modules

This module aims to introduce students to key concepts in business analytics, with a special emphasis on common areas of application. It also explores the links between the behavioural (decision science) perspective on decision support and the management science/business analytics perspective.

Tuition fees

UK fees
Course fees for UK / EU students

Please contact university and ask about this fee

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

Please contact university and ask about this fee

Average for all Postgrad courses (per year)

£12,227

Entry requirements

Students need a bachelor degree with a 2:1 (hons) in a related subject. They must have a sound grounding in quantitative subjects, typically through some university-level courses in subjects such as statistics, management science, computer science or mathematics.