Business Analytics and Decision Sciences

Leeds University Business School
4.5
4 reviews
  • What I enjoy is working with students from different nationalities, which it is a wonderful cultural learning experience. More over, I like the seminars on the course and have found that it is really helpful to explore my own abilities.
    ← | →
  • I truly enjoyed the deeper development of psychology and programming aspects which are done in semester two. These really deploy big concepts onto real life problems and allow you the capacity to expand your knowledge.
    ← | →
  • In my Masters I have studied many modules, which are related to analytics and IT management and those modules have helped me in building my data analytics skills.
    ← | →

Postgraduate

In Leeds

Price on request

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Description

  • Type

    Postgraduate

  • Location

    Leeds

  • Start date

    Different dates available

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.
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.
With the Leeds Institute for Data Analytics on campus, the University of Leeds has a growing wealth of expertise and resources in data sciences.
You'll also be encouraged to join the Leeds Data Science Society, a group of diverse individuals at the University who share an interest in 'big data' and analytics, which continues to grow and host a number of workshops and events throughout the year.
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Facilities

Location

Start date

Leeds (North Yorkshire)
Maurice Keyworth Building, The University Of Leeds, LS2 9JT

Start date

Different dates availableEnrolment now open

About this course

Entry requirements
A bachelor degree with a 2:1 (hons) in a related subject. A strong grounding in quantitative subjects is required, typically through some university-level study in subjects such as statistics, management science, computer science or mathematics. In exceptional circumstances, outstanding performance in mathematics and/or statistics at pre-university level can 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 ubject area. For...

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Reviews

4.5
excellent
  • What I enjoy is working with students from different nationalities, which it is a wonderful cultural learning experience. More over, I like the seminars on the course and have found that it is really helpful to explore my own abilities.
    ← | →
  • I truly enjoyed the deeper development of psychology and programming aspects which are done in semester two. These really deploy big concepts onto real life problems and allow you the capacity to expand your knowledge.
    ← | →
  • In my Masters I have studied many modules, which are related to analytics and IT management and those modules have helped me in building my data analytics skills.
    ← | →
100%
4.5
excellent

Course rating

Recommended

Centre rating

Saptarshi Ray

4.5
12/01/2017
What I would highlight: What I enjoy is working with students from different nationalities, which it is a wonderful cultural learning experience. More over, I like the seminars on the course and have found that it is really helpful to explore my own abilities.
What could be improved: .
Would you recommend this course?: Yes

Louisa O'Brien

4.5
11/01/2017
What I would highlight: I truly enjoyed the deeper development of psychology and programming aspects which are done in semester two. These really deploy big concepts onto real life problems and allow you the capacity to expand your knowledge.
What could be improved: .
Would you recommend this course?: Yes

Nitin Jain

4.5
10/01/2017
What I would highlight: In my Masters I have studied many modules, which are related to analytics and IT management and those modules have helped me in building my data analytics skills.
What could be improved: .
Would you recommend this course?: Yes

Aritad Choicharoon

4.5
10/01/2017
What I would highlight: There have been many aspects of the degree that I found very pleasant such as: the opportunity to connect with classmates from all over the world; the introduction and training on various tools that are currently being used by analysts, such as Tableau, Gephi, R, as well as IBM Watson; and the chance to further my learning from leading academic experts such as Professors Bill Gerrard and Alan Pearman. I also enjoyed the opportunity to visit and talk to experts from leading companies such as First Direct and IBM.
What could be improved: .
Would you recommend this course?: Yes
*All reviews collected by Emagister & iAgora have been verified

This centre's achievements

2018

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 14 years

Subjects

  • Management
  • Decision Making
  • Information Systems
  • Supply Chain Management
  • University
  • Logistics
  • Information Management
  • Designing
  • Business Analytics
  • Sciences
  • Decision Science

Course programme

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 learn to use advanced analytical techniques such as forecasting, predictive modelling, clustering and optimisation while having 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 and consultancy.

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.

Course structure

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

Modules Year 1

Compulsory modules

You'll take eight compulsory modules including your dissertation.

  • Effective Decision Making 15 credits
  • Advanced Management Decision Making 15 credits
  • Business Analytics and Decision Science 15 credits
  • Forecasting and Advanced Business Analytics 15 credits
  • Evidence Based Consultancy 15 credits
  • Research Methods 15 credits
  • Quantitative Analysis 15 credits
  • Business Analytics and Decision Sciences Dissertation 45 credits
Optional modules

You'll also take two optional modules.

  • Behavioural Finance 15 credits
  • Risk Perception and Communication 15 credits
  • Managing Global Logistics and Supply Chains 15 credits
  • Operations and Supply Chain Management 15 credits
  • Managing and Designing Value Chain Networks 15 credits
  • Information Tools for Organisations 15 credits
  • Challenges in Information Management 15 credits
  • Designing Information Systems 15 credits

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

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.

See related categories

Business Analytics and Decision Sciences

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