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Business Analytics

Essentials

At a glance

MSc Business Analytics

UCAS Code
G5K709
Course Duration
1 year
Mode of study
Full Time

New for 2019, we introduce our MSc in Business Analytics, a collaborative programme bringing together the expertise and knowledge of Durham University Business School and the Department of Computer Science to provide premium Masters-level education and training in relevant areas of contemporary business analytics in a supportive research-led interdisciplinary learning environment.

Modern business relies more and more on analytics for understanding and predicting customer behaviour, monitoring and optimising its processes and managing and supporting suppliers. Understanding the use of big data for business is a key skill in today’s global market.

Our one year, full-time MSc in Business Analytics designed to help you understand the role of business analytics within an organisation, and help you gain insights from data through decision-making techniques, algorithms for big data, machine learning, and natural language techniques for social media analytics.

Course Summary

Course Summary

Description

The MSc Business Analytics course is intended to provide premium Masters-level education and training in relevant areas of contemporary business analytics in a supportive research-led interdisciplinary learning environment.  The broad aims are:  

  • To develop advanced and systematic understanding of the complexity of data, including the sources of data relevant to business, alongside appropriate analysis techniques
  • To enable students to critically review and apply relevant business analytics knowledge to practical situations
  • To develop a critical awareness of current issues in business analytics which is informed by leading edge research and practice in the field
  • To develop a conceptual understanding of existing research and scholarship to enable the identification of new or revised approaches to business analytics practice
  • To develop creativity in the application of knowledge, together with a practical understanding of how established, advanced techniques of research and enquiry are used to develop and interpret knowledge in business analytics.
  • To develop the ability to conduct research into business analytics issues that requires familiarity with a range of business data, research sources and appropriate methodologies and ethical issues
  • To develop advanced conceptual abilities and analytical skills in order to evaluate the rigour and validity of published research and assess its relevance to new situations
  • To extend the ability to communicate effectively both orally and in writing, using a range of media.

Course Structure

Core Modules - Terms 1 and 2

EITHER

Introduction to Computer Science 

OR  Introduction to Management

AND

Data Analytics in Action

Learning from Data

Building Customer Insights 

Natural Language Analysis

Retail Science

Data Analytics for Strategic Decision-Making

Core Modules Term 3

Silicon Valley Field Trip

Business Analytics Project 

You will also complete a Business Analytics research project. Supervised by a faculty member with relevant experience, you’ll investigate in greater detail a subject that you’ve already studied as part of your programme. This is an opportunity for you to develop your business insight and present your analysis and ideas in a scholarly and professional manner.

Adding to your Experience

International Experience – Silicon Valley Field Trip

In the third term you will undertake the Silicon Valley Field Trip module, an integral element of the programme providing essential experiential learning.
Our strong international activities are an integral part of the programme and aim at providing you with the experiential learning needed to acquire an inside perspective of operating globally.

That’s why we offer a range of opportunities to help you immerse yourself in a country’s business and academic environment, make new contacts and stand out in a competitive job market.

Your field trip is comprised of visits to a series of data-intensive participating organisations in Silicon Valley to analyse them using a structured learning approach, where you will present your analysis to the representatives of the participating organisations. As such this activity provides an excellent opportunity  to be exposed to the challenges of global business, network and make new contacts with key staff within organisations and to help you stand out in the competitive jobs market, while having fun.

Under ‘Practitioner Insights – Guest Speaker Programme

As part of your programme, you will have the opportunity to enjoy presentations by leading international academics and practitioners within your chosen area of interest. Past speakers have included representatives of major global multinationals and leading scholars, combining critical and progressive thinking with practical insights.

 

 

Learning and Teaching

Course Learning and Teaching

The broad aims are:


To develop advanced and systematic understanding of the complexity of data, including the sources of data relevant to business, alongside appropriate analysis techniques
To enable students to critically review and apply relevant business analytics knowledge to practical situations
To develop a critical awareness of current issues in business analytics which is informed by leading edge research and practice in the field
To develop a conceptual understanding of existing research and scholarship to enable the identification of new or revised approaches to business analytics practice

To develop creativity in the application of knowledge, together with a practical understanding of how established, advanced techniques of research and enquiry are used to develop and interpret knowledge in business analytics.

To develop the ability to conduct research into business analytics issues that requires familiarity with a range of business data, research sources and appropriate methodologies and ethical issues

To develop advanced conceptual abilities and analytical skills in order to evaluate the rigour and validity of published research and assess its relevance to new situations

To extend the ability to communicate effectively both orally and in writing, using a range of media.

To find out more about the modules available to students studying at Durham University please click here.

Please note: Current modules are indicative. Information for future academic years may change, for example, due to developments in the relevant academic field, or in light of student feedback.

Apply

Admissions Process

Subject requirements, level and grade

A UK first or upper second class honours degree or equivalent in either business; computer science; or a related subject with a strong quantitative component.

English Language requirements

Please check requirements for your subject and level of study.

How to apply

www.durham.ac.uk/postgraduate/apply

Fees and Funding

Fees and Funding

Full Time Fees

EU Student £28,000.00 per year
Home Student £28,000.00 per year
Island Student £28,000.00 per year
International non-EU Student £28,000.00 per year

The tuition fees shown are for one complete academic year of full time study, are set according to the academic year of entry, and remain the same throughout the duration of the programme for that cohort (unless otherwise stated).

Please also check costs for colleges and accommodation.

Scholarships and funding

www.durham.ac.uk/postgraduate/finance

Open Days and Visits

Open days and visits

Pre-application open day

www.durham.ac.uk/postgraduate/visit

Overseas Visit Schedule

www.durham.ac.uk/international/office/meetus

Postgraduate Visits

PGVI or

www.durham.ac.uk/postgraduate/visit/

Come and meet us

Open events and recruitment fairs
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Scholarship Opportunities

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Online Information Sessions

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