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Business Analytics and Decision Sciences MSc

Business Analytics and Decision Sciences MSc

Different course options

Study mode

Full time

Duration

12 months

Start date

SEP-22

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Decision Making Skills Data Analysis Business Modelling / Analysis Business Studies

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.

On this course you’ll be taught by our expert academics, from lecturers through to professors. You may also be taught by industry professionals with years of experience, as well as trained postgraduate researchers, connecting you to some of the brightest minds on campus.

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.

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. 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, data and analytics consultant at KPMG, operational research analyst for the Department of Health and advisor in business intelligence for Dell International LLC.

Modules

This module will enhance your fundamental theoretical knowledge of decision making to allow a deeper appreciation of effective management decision making. Specifically, it focuses on the practical application of behavioural decision theory to complex, real world and managerial issues. The focus is on both understanding and improving decision making in these contexts. Domains for study include group decision making, bargaining and negotiation, public risk perception, effective risk communication and the implementation of structured decision aids.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

14,250

International fees
Course fees for EU and international students

For this course (per year)

25,750

Entry requirements

A bachelor degree with a 2:1 (hons) in a related subject. 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.

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