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 explores recent developments in theories of behavioural decision-making science. It will enable you to critically examine theories of judgement and decision-making motivated by research in memory, perception, categorisation, reasoning, social psychology, economics, political and management sciences. The career-focused modules are designed to build on your workplace skills and develop new skills.
You will cover recent developments in normative, descriptive and experience-based theories of choice, as well as the impact of experience and expertise on judgements and choice. You will be introduced to applications of judgement and decision-making research in areas such as consumer behaviour, politics, sports, economics and health, providing a firm basis in both the theory and practice of cognitive science and decision-making. You will also explore a selection of current research topics relevant to individual and managerial decision-making, wellbeing and policy-making.
Assessment methods include essays, in-class tests, unseen examinations, laboratory reports and a dissertation.
Please note that this is an indicative list of modules and is not intended as a definitive list.
Optional modules to be confirmed.
This course is most likely to be of interest to researchers and others wishing to develop their theoretical knowledge about CBT, without necessarily putting this into clinical practise. This course focuses on CBT knowledge and principles, and does not involve supervised practice. It may also be of value to those who wish to develop their skills but do not have current access to clients.
This is the course page for Postgraduate Certificate in CBT Theory at the University of Southampton. Find out everything about in CBT Theory and what studying here involves.
In this course page we explain a range of key information about the course. This includes typical entry requirements, modules you can take and how assessment works. We also suggest career opportunities open to you as a University of Southampton graduate of Postgraduate Certificate in CBT Theory.
If you still have questions, please get in touch and we’ll be happy to answer any enquiries. Visit our contact us page for our telephone, email and address information.
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
This two year programme provides rigorous mathematical training in modern economics. It will equip you with a thorough understanding of the research tools and techniques, both theoretical and empirical, required for the analysis of economics.
During the first two weeks you will take a pre-sessional mathematics course. This ensures that you all begin the programme on the same mathematical footing. In year one you will receive comprehensive research-oriented training in research methods and the core areas of economics. You will also receive advanced training in research design and complete an independent summer research project under academic supervision.
After year one of this programme you will have the option to graduate with an MSc Quantitative Economics, or continue to year two which will focus on the specialised fields of applied Economics; preparing you for your PhD. In year two you will take optional courses in your chosen subfield of specialisation, as well as work on a dissertation that will lead to your PhD proposal, should you decide to proceed further onto a PhD in Economics. Teaching will be in the format of lectures, tutorials and seminars, with work on research projects.
This programme provides you with thorough preparation for PhD research, and completion at a sufficiently high level guarantees admission into the Glasgow Economics PhD programme. You will also be extremely well-positioned to be accepted for PhD study in other universities. Upon completion of the programme you will be equipped to pursue careers in academia, government, industry or consulting. We have a dedicated careers and employability team who provide 1-2-1 support and advice, group workshops, employer events on campus and networking opportunities throughout the year to help you with your career prospects.
The Master's specialisation in Business Analysis and Modelling focuses on two aspects of managerial decision making:
1. The individual and social biases and heuristics leading to suboptimal or even low quality decisions.
2. Interventions aiming at improving managerial decision making (group decision support).
This specialisation shares the application of formal methods and modelling with the Operations Research and Management Science departments of other economic and business administration programmes . However, consistent with the Nijmegen research profile, it looks at (strategic) decision making from the point of view of the ‘Responsible Organisation,' focusing not only on the analytical aspect, but also on the social aspects of decision making.
Students will be trained both in analysing complex problems as well as facilitation skills needed to intervene effectively in decision making processes.
See the website http://www.ru.nl/masters/bam
For the Master's programme Business Administration, the admission requirements for students with a non-Dutch diploma are:
- An academic Bachelor's degree in Business Administration
- English language proficiency
Most of the students in the BAM specialisation and in the two-year European Masters in System Dynamics (of which BAM is the Nijmegen component) will find jobs at advisory bureaus or the strategic planning departments of large companies.
- Theory and action-based learning
This programme is closely associated with the research carried out within the Institute of Management Research, where the focus is on research into relationship management, institutional dynamics, decision making and innovative management. You will become familiar with both the theoretical and practical aspects of your special subject. The programme combines a thorough training in methodology with action-based learning: you apply the theory you have learned to concrete cases and learn to develop appropriate solutions. And, in our Visa Skills Lab, students use computers to make scenario analyses and simulate decision-making processes within organisations.
- Truly international
The education and research training we provide are internationally oriented. Our students have the opportunity to take part in a Master’s level project on European Human Resource Management, a cooperative venture among six leading European business schools and universities. Here, students work in a multi-cultural team and follow a consultancy in-company project in one of the six countries involved.
See the website http://www.ru.nl/masters/bam