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.
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.
With the Leeds Institute for Data Analytics on campus, the University of Leeds has a growing wealth of expertise and resources in data sciences.
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.
The course culminates in a 12,000 word dissertation or project, enabling you to apply your learning to a topic of your choice. This is an opportunity to explore the very latest insights with the support of an academic who shares your passion and interest.
You’ll take eight compulsory modules including your dissertation.
You'll also choose another three optional modules.
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 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.
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 initiative 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 workshops, social events, guest lectures and professional skills development.
We help you to achieve your career ambitions by providing professional development support as part of the course. You benefit from our 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 Careers Centre also provides a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate.
This course aims to bring you, in 12 months, to a position where you can embark with confidence on a wide range of careers, including taking a PhD in Mathematics or related disciplines. There is a wide range of taught modules on offer, and you will also produce a dissertation on a topic of current research interest taken from your choice of a wide range of subjects offered.
Modules: Six of available options
In previous years, optional modules available included:
Modules in Pure Mathematics:
Modules in Probability and Statistics:
Modules in Applications of Mathematics:
This is a full-year degree course, starting early October and finishing in the middle of the subsequent September. The aim of the course is to give the students a wide mathematical background allowing them to either proceed to PhD or to apply the gained knowledge in industry.
The course consists of three modules: the first two are the Michaelmas and Epiphany lecture courses covering variety of topics in pure and applied mathematics and statistics. The third module is a dissertation on a topic of current research, prepared under the guidance of a supervisor with expertise in the area. We offer a wide variety of possible dissertation topics.
The main group of lectures is given in the first two terms of the academic year (Michaelmas and Epiphany), there are also two revision lectures in the third term (Easter). This part of the course is assessed by examinations. Students choose 6 modules, each module has 2 lectures per week and one fortnightly problems class. There are 10 teaching weeks in the Michaelmas term and 9 teaching weeks in Epiphany term. In addition lecturers also set a number of homework assignments which give the student a chance to test their understanding of the material.
The dissertation must be submitted by mid-September, the end of the twelve month course period