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Masters Degrees (Msc Business Analytics)

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MSc Business Analytics. is a one-year, full-time programme that prepares graduates for a future of data and evidence-based decision making. Read more

MSc Business Analytics is a one-year, full-time programme that prepares graduates for a future of data and evidence-based decision making. You will learn from leading practitioners and world-class faculty how to apply the latest academic thinking and analytical and computing tools to help make business decisions.

Although grounded in highly rigorous technical and quantitative training, this Master’s is focussed on the practical side of business analytics. Spring and summer term electives are sector-focussed, giving you the opportunity to tailor the programme to your interests.

The Programme

Before starting the programme, you will need to undertake a range of online pre-study modules, which include:

• Maths for Business Analytics

• Introduction to Finance

• Accounting Primer

• Career and Professional Development

• Study Skills

In the autumn term you will study compulsory modules which include:

• Maths and Statistics Foundations for Analytics

• Data Structures and Algorithms

• Network Analytics

• Analytics in Business

• Optimisation and Decision Models

• Fundamentals of Database Technologies

• Statistics and Econometrics

• Machine Learning

• Visualisation

Core modules are the backbone of our programme and will provide you with a solid knowledge base in every subject area. You will be taught through a range of contexts – lectures, syndicate discussions, group exercises and individual case studies – and assessed through a combination of examinations, group presentations and coursework.

In the spring and summer terms you will also be given the opportunity to choose from a variety of electives, and will undertake a consulting project or a work placement.

Each elective builds on previous experience while introducing new and exciting disciplines. Electives include:

• Digital Marketing Analytics

• Big Data in Finance

• Advanced Machine Learning

• Data Management and Ethics

• Healthcare and Medical Analytics

• Logistics and Supply-Chain Analytics

• Retail and Marketing Analytics

• Workforce Analytics

The programme will culminate in a Business Analytics Report which will enable you to consolidate and apply the knowledge that you will have gained throughout the year.



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Available to study at QMUL’s Mile End Campus in London or at the University of London Institute in Paris. The MSc in Business Analytics is a new, block taught MSc that will be available both in Paris and in London. Read more

Overview

Available to study at QMUL’s Mile End Campus in London or at the University of London Institute in Paris.

The MSc in Business Analytics is a new, block taught MSc that will be available both in Paris and in London. The MSc is offered in collaboration with QMUL’s School of Mathematics and is aimed at students who are highly numerate and have a strong interest in developing statistical and business skills required to succeed in the digital economy.

This exciting new programme is ideal for anybody aiming to direct businesses in today’s digital economy. You will learn how to use insights from business analysis to inform strategy, provide direction for leadership and create value.

With the growing use of data in business decision making, individuals who have a strong understanding of the tools and methodologies for business analysis, who are able to analyse data and use the results to inform the direction of their business, will be sought after by employers in all sectors of the economy.

Our program will take you beyond analytics and programming, teaching you how businesses are structured, how they operate and how digital skills are used to enhance business performance. You will gain an awareness of the leadership and organisational challenges associated with large scale change projects driven by the digitisation of businesses and develop important leadership qualities such as communication, negotiation and team work.

You will be exposed to real world cases from different markets and countries and learn from the experiences of current managers working in a wide range of sectors. You will also have the opportunity to work on a consultancy project in collaboration with an industry partner.

The staff involved in the MSc in Business Analytics have strong links and research collaborations with industry partners and IT start-ups in London and Europe. One of the course leaders was formerly Global Head of FX Quantitative Research at Citigroup, the other has extensive experience in research and consulting on entrepreneurship, innovation management and IP strategy.

Students will be given the opportunity to obtain Microsoft Office and SAS certification and will learn how to use tools such as R and SQL.

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Available to study at QMUL’s Mile End Campus in London or at the University of London Institute in Paris. The MSc in Business Analytics is a new, block taught MSc that will be available both in Paris and in London. Read more

Overview

Available to study at QMUL’s Mile End Campus in London or at the University of London Institute in Paris

The MSc in Business Analytics is a new, block taught MSc that will be available both in Paris and in London. The MSc is offered in collaboration with QMUL’s School of Mathematics and is aimed at students who are highly numerate and have a strong interest in developing statistical and business skills required to succeed in the digital economy.

This exciting new programme is ideal for anybody aiming to direct businesses in today’s digital economy. You will learn how to use insights from business analysis to inform strategy, provide direction for leadership and create value.

With the growing use of data in business decision making, individuals who have a strong understanding of the tools and methodologies for business analysis, who are able to analyse data and use the results to inform the direction of their business, will be sought after by employers in all sectors of the economy.

Our program will take you beyond analytics and programming, teaching you how businesses are structured, how they operate and how digital skills are used to enhance business performance. You will gain an awareness of the leadership and organisational challenges associated with large scale change projects driven by the digitisation of businesses and develop important leadership qualities such as communication, negotiation and team work.

You will be exposed to real world cases from different markets and countries and learn from the experiences of current managers working in a wide range of sectors. You will also have the opportunity to work on a consultancy project in collaboration with an industry partner.

The staff involved in the MSc in Business Analytics have strong links and research collaboration with industry partners and IT start-ups in London and Europe. One of the course leaders was formerly Global Head of FX Quantitative Research at Citigroup, the other has extensive experience in research and consulting on entrepreneurship, innovation management and IP strategy.

Students will be given the opportunity to obtain Microsoft Office and SAS certification and will learn how to use tools such as R and SQL.

We are currently seeking accreditation for the course from the Tech Partnership, a private sector body representing digital businesses in the United Kingdom.

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Specialize in optimizing company decisions by using data and mathematical models and algorithms. Read more

Course details

Specialize in optimizing company decisions by using data and mathematical models and algorithms
Do you like working with data and mathematics? Do you want to specialize in solving the most complex decision problems, from supply chain management to vehicle routing and from donor kidney allocation to train scheduling? Then Business Analytics and Operations Research is the right program for you.

Apply the theory in practice, and learn to communicate efficiently with decision makers
This program teaches generic Data Science and Optimization methods that allow you to solve decision problems in a wide variety of applications. Examples from logistics include vehicle routing, supply chain optimization, and inventory management. But there are many other applications, such as donor kidney allocation and optimizing tumor treatment plans in the medical field, or dike height optimization and train scheduling in the public sector.

Because Business Analytics and Operations Research are predominantly applied fields, you will also develop the skills to successfully apply the theory in practice, and to communicate efficiently with the decision makers.

The program offers you:

- a degree qualification held in high regard by international organizations that increasingly depend on quantitative methods to support their operations, logistics and supply chain management decision-making.

- a program that is comparable to top Business Analytics and Operations Research programs in the world, both in terms of the contents of the courses and the quality of the teachers and supervisors.

- excellent career perspectives: The Master's program in Business Analytics and Operations Research is one of the programs with the best career prospects. Business Analytics and Operations Research professionals are currently in very high demand, and the demand is predicted to increase even further.

- relevant, real-world learning where the emphasis is on solving actual business problems and turning data into managerial insights, whether it is during in-class exercises or while on an internship in a company.

- BAOR Mastermind, your ideal opportunity to explore the labor market and meet your future employer! We invite companies that give you insight in real business cases. You will also get the opportunity to discuss new trends in Business Analytics and Operations Research with academics and practitioners.

- lectures by teachers and supervisors that are leading experts in this field, with strong links with practice.

- small class-sizes giving you more quality time with approachable and supportive professors and closer interaction with your classmates

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The rapid growth of available data is transforming the way managers, accountants, investors or marketers are working. Including this data into their analyses, business plans and decisions is a must for firms to maintain their competitive advantage. Read more
The rapid growth of available data is transforming the way managers, accountants, investors or marketers are working. Including this data into their analyses, business plans and decisions is a must for firms to maintain their competitive advantage.

This programme is a response to these changes in the economic and technological environment. It aims to transform business students into multi-talented professionals, standing in-between their core field of expertise, such as management, finance, and marketing, and information technologies.

The programme mixes advanced modules in finance, marketing or management to provide a deep understanding of the most up-to-date methods for data-processing (machine learning, big data analysis) and data management. Our teaching philosophy is practice-oriented. With this in mind, after an intensive 12-month period of study you will complete your training with a six-month internship within a company.

Distinctive features of the programme are:
• Access to the Big Data Analytics and Technology Centre (BDATC)
• Strong focus on practical data processing and analysis skills
• Internship opportunities
• Industry links to local companies
• Cooperation with Xi’an Jiaotong University

Modules

• Introduction to Business Analytics
• Addressing Privacy and Ethical Risks of Data Sharing
• Econometrics
• Databases and Data Management
• Finance Pathway (I) - Financial Markets
• Marketing Pathway (I) - Social Media Marketing
• Management Pathway (I) - Strategic Business Analysis
• Data Mining and Machine Learning
• Social Network Analysis
• Big Data: Applications in Business
• Finance Pathway (II) - Portfolio Management
• Marketing Pathway (II) - Marketing Management
• Management Pathway (II) - Strategic Operation Management
• Internship Report / Dissertation

What are my career prospects?

Business analytics skills are in high demand in every sector of the economy, particularly within the fast-growing service sectors (finance, retail, marketing, ICT). Typical positions our graduates target include data or information analyst, technical consultant, IT-related project manager, and CRM analyst.

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Learn how to gain insights and understanding from large data sets by using statistical methods, and how to apply these to business problems. Read more

Learn how to gain insights and understanding from large data sets by using statistical methods, and how to apply these to business problems. Through this MSc, you’ll develop an understanding of the role of an analyst within an organisation, improve your business acumen and communication skills, and get commercial/research experience for your CV through your project and dissertation.

Course details

You will study four compulsory modules to give you an overview of key business areas, and take four optional modules of your choice available through various study routes on this one-year course. Please note that availability and delivery modes may vary. Assessment is usually a mix of exams and coursework. Your project and dissertation will either be as a consultant to an organisation or as applied research.

Programming skills

We support the learning of multiple programming languages with access to a variety of interactive online materials, covering SAS programming (provided by the SAS Institute), R and Python (provided by Data Camp). 

Consultancy project

Working as a consultant tests your ability to assess a problem and adopt the best approach to tackling it, as well as your client liaison and management skills. You will usually write a client report in addition to your 12,000 word dissertation.

  • Review & development of pricing models for a leading bank
  • Market strategy for a manufacturing group
  • Developing a bespoke analytical tool for a leading internet provider
  • Identifying benchmarking guidelines for the service operations industry

Research project

A research project allows you to explore a topic critical to effective decision-making in organisations. Supervised by one of our academics, demonstrate you can undertake systematic and rigorous applied research over 12,000 words.

Previous research projects

  • The impact of analytic consulting interventions
  • Rational consumer behaviour & decision-making
  • The impact of the EU Emissions Trading Scheme on reducing CO2emissions
  • An analysis into the effects of advertising and word-of-mouth


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Organisations of all sizes must analyse complex business data to remain competitive. Business analytics helps to predict market trends and improve business processes. Read more
Organisations of all sizes must analyse complex business data to remain competitive. Business analytics helps to predict market trends and improve business processes. It empowers managers to make strategic decisions to improve performance in areas such as product development, operations, marketing, sales and supply chain management.

Our MSc Business Analytics develops your analytical skills so you can solve complex business problems. You’re trained to organise, integrate and interpret data so you can make insightful forecasts into all aspects of business operation and implement appropriate actions.

You cover topics such as:
-Statistics and forecasting
-Data mining, visual and analytical techniques
-Global supply networks
-Economic theory
-Business management

Our range of optional modules gives you the opportunity to specialise in a variety of complementary business, management and marketing subjects.

Essex Business School, where this course is taught, is home to the ESRC Business and Local Government Data Research Centre, which helps local authorities and businesses across the UK to harness data more effectively. Not only does the centre have expert data analytics facilities, you’re taught by academics who are actively involved in researching big data and collaborating with businesses to solve real-world issues.

Our School is home to an international community of students and staff. Across our two campuses, our current Masters students join us from more than 40 different nationalities. The University of Essex also offers a number of scholarship and discounts for Masters study, including tailored awards for international applicants.

MSc Business Analytics can be studied on a full-time, part-time or modular basis (ideal if you’d like to gain a qualification whilst in employment).

Postgraduate loans for Masters courses are now available from the Student Loans Company, worth up to £10,000, for students from the UK and EU.

Our expert staff

Our expert academics are at the forefront of the big data debate and reflect this thinking in their teaching.

Essex Business School is in the top 25 in the UK for research excellence (REF 2014) and is recognised for being at the cutting edge of research in: business ethics and corporate social responsibility; organisation studies; leadership and strategy; finance and banking; risk management; and international management.

Specialist facilities

MSc Business Analytics is based at our Southend Campus, with its excellent study and social facilities.

You benefit from being located close to London in the Thames Gateway, one of the UK’s priority areas for economic growth – offering fantastic internship and networking opportunities.

Southend is a seaside town with award-winning beaches, a vibrant night life and excellent transport links. You have access to The Forum, a state-of-the-art building with 24-hour computer suites and study pods. Unlike our Colchester Campus, Essex Business School in Southend is a town centre campus, so you’re amongst the buzz of the High Street, with its excellent bars, shops and restaurants and employment opportunities.

The University of Essex provides initiatives, including those for international students, to help you perform to your best academic potential, such as free academic English classes.

Your future

Data is the driving force behind critical business decisions, so data scientists and analysts are in great demand in both start-ups and well-established companies. Becoming an expert in data analytics means you can help businesses gain competitive advantage by becoming better at making decisions and predictions through organising, analysing, integrating and interpreting data.

This course will equip you with essential numerical, analytical and problem solving skills for a thriving career as a business analyst, manager, or consultant in private and public enterprises.

We have a dedicated employability team within our department, in addition to the University of Essex Employability and Careers Centre, so you are well-placed to find work opportunities both during your course and after you graduate.

In 2015, 78% of our postgraduate taught students were in work or further study (DLHE). Read our graduate profiles to find out the types of organisations our Masters students go on to work for.

Example structure

Postgraduate study is the chance to take your education to the next level. The combination of compulsory and optional modules means our courses help you develop extensive knowledge in your chosen discipline, whilst providing plenty of freedom to pursue your own interests. Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field, therefore to ensure your course is as relevant and up-to-date as possible your core module structure may be subject to change.

Business Analytics - MSc
-Managerial Economics
-Global Supply Chain and Operations Management
-Business Analytics for Managers and Entrepreneurs
-Applied Statistics and Forecasting
-Research Methods
-Dissertation
-International Business and Strategy (optional)
-The International Business Environment (optional)
-Creating and Managing the New and Entrepreneurial Organisation (optional)

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This course addresses the need to propel information-gathering and data organisation, and exploit potential information and knowledge hidden in routinely collected data to improve decision-making. Read more

This course addresses the need to propel information-gathering and data organisation, and exploit potential information and knowledge hidden in routinely collected data to improve decision-making. The course, which builds on the strength of two successful courses on data mining and on decision sciences, is more technology focused, and stretches the data mining and decision sciences theme to the broader agenda of business intelligence.

You will focus on developing solutions to real-world problems associated with the changing nature of IT infrastructure and increasing volumes of data, through the use of applications and case studies, while gaining a deep appreciation of the underlying models and techniques. You will also gain a greater understanding of the impact technological advances have on nature and practices adopted within the business intelligence and analytics practices, and know how to adapt to these changes.

Embedded into the course are two key themes. The first will help you to develop your skills in the use and application of various technologies, architectures, techniques, tools and methods. These include warehousing and data mining, distributed data management, and the technologies, architectures, and appropriate middleware and infrastructures supporting application layers. The second theme will enhance your knowledge of algorithms and the quantitative techniques suitable for analysing and mining data and developing decision models in a broad range of application areas. The project consolidates the taught subjects covered, while giving you the opportunity to pursue in-depth study in your chosen area.

Teaching approaches include lectures, tutorials, seminars and practical sessions. You will also learn through extensive course work, class presentations, group research work, and the use of a range of industry standard software such as R, Python, Simul8, Palisade Decision Tools, Hadoop and Oracle.

Taught modules may be assessed entirely through course work, or may include a two-hour exam at the end of the year.

Course structure

The following modules are indicative of what you will study on this course.

Core modules

Option modules

Professional accreditation

This programme is accredited by BCS, The Chartered Institute for IT, for fully meeting the further learning educational requirement for Chartered IT Professional (CITP) status and for partially satisfying the underpinning knowledge requirements set by the Engineering Council in the UK Standard for Professional Engineering Competence (UK-SPEC) and the Science Council for Chartered or Incorporated Engineer (CEng or IEng) status. Note that there are additional requirements, including work experience, to achieve full CITP, CEng, or IEng status. Graduates of this accredited degree will also be eligible for professional membership of BCS (MBCS).

The BCS accreditation is an indicator of the programme’s quality to students and employers; it is also an important benchmark of the programme’s standard in providing high quality computing education, and commitment to developing future IT professionals that have the potential to achieve Chartered status. The programme is also likely to be recognised by other countries that are signatories to international accords.

Associated careers

Graduates can expect to find employment as consultants, decision modelling or advanced data analysts, and members of technical and analytics teams supporting management decision making in diverse organisations. Typical employers include local authorities, PLCs (e.g. GlaxoSmithKline, British Airways, Santander and Unilever), public sector organisations (e.g. the NHS and primary care trusts), retail head offices, the BBC, the Civil Service, and the host of banks, brokers and regulators that make up the City, along with all the specialist support consultancies in IT and market research and forecasting, all of whom use data for the full range of decision making.

Work placements

Our Work Placement Teams are based in your Faculty Registry Office and can help you find a suitable placement, as well as support you in making applications, writing CVs and improving your interview technique.

More details on work placements can be found on our Work placements page.



Read less
This course addresses the need to propel information-gathering and data organisation, and exploit potential information and knowledge hidden in routinely collected data to improve decision-making. Read more

This course addresses the need to propel information-gathering and data organisation, and exploit potential information and knowledge hidden in routinely collected data to improve decision-making. The course, which builds on the strength of two successful courses on data mining and on decision sciences, is more technology focused, and stretches the data mining and decision sciences theme to the broader agenda of business intelligence.

You will focus on developing solutions to real-world problems associated with the changing nature of IT infrastructure and increasing volumes of data, through the use of applications and case studies, while gaining a deep appreciation of the underlying models and techniques. You will also gain a greater understanding of the impact technological advances have on nature and practices adopted within the business intelligence and analytics practices, and know how to adapt to these changes.

Embedded into the course are two key themes. The first will help you to develop your skills in the use and application of various technologies, architectures, techniques, tools and methods. These include warehousing and data mining, distributed data management, and the technologies, architectures, and appropriate middleware and infrastructures supporting application layers. The second theme will enhance your knowledge of algorithms and the quantitative techniques suitable for analysing and mining data and developing decision models in a broad range of application areas. The project consolidates the taught subjects covered, while giving you the opportunity to pursue in-depth study in your chosen area.

Teaching approaches include lectures, tutorials, seminars and practical sessions. You will also learn through extensive course work, class presentations, group research work, and the use of a range of industry standard software such as R, Python, Simul8, Palisade Decision Tools, Hadoop and Oracle.

Taught modules may be assessed entirely through course work, or may include a two-hour exam at the end of the year.

Course structure

The following modules are indicative of what you will study on this course.

Core modules

Option modules

Professional accreditation

This programme is accredited by BCS, The Chartered Institute for IT, for fully meeting the further learning educational requirement for Chartered IT Professional (CITP) status and for partially satisfying the underpinning knowledge requirements set by the Engineering Council in the UK Standard for Professional Engineering Competence (UK-SPEC) and the Science Council for Chartered or Incorporated Engineer (CEng or IEng) status. Note that there are additional requirements, including work experience, to achieve full CITP, CEng, or IEng status. Graduates of this accredited degree will also be eligible for professional membership of BCS (MBCS).

The BCS accreditation is an indicator of the programme’s quality to students and employers; it is also an important benchmark of the programme’s standard in providing high quality computing education, and commitment to developing future IT professionals that have the potential to achieve Chartered status. The programme is also likely to be recognised by other countries that are signatories to international accords.

Associated careers

Graduates can expect to find employment as consultants, decision modelling or advanced data analysts, and members of technical and analytics teams supporting management decision making in diverse organisations. Typical employers include local authorities, PLCs (e.g. GlaxoSmithKline, British Airways, Santander and Unilever), public sector organisations (e.g. the NHS and primary care trusts), retail head offices, the BBC, the Civil Service, and the host of banks, brokers and regulators that make up the City, along with all the specialist support consultancies in IT and market research and forecasting, all of whom use data for the full range of decision making.

Work placements

Our Work Placement Teams are based in your Faculty Registry Office and can help you find a suitable placement, as well as support you in making applications, writing CVs and improving your interview technique.

More details on work placements can be found on our Work placements page.



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The MSc Business Analytics programme is an innovative new programme designed to develop the practical business analytical skills needed in today’s data rich business world. Read more
The MSc Business Analytics programme is an innovative new programme designed to develop the practical business analytical skills needed in today’s data rich business world. Businesses need trained analysts capable of exploring data to find new patterns and relationships and make business decisions accordingly.

Organisations require analysts capable of generating value from large data sets which cannot be analysed with traditional techniques. You will be taught to apply appropriate analytical techniques within a business context.

WHY CHOOSE THIS COURSE?

The course has been specifically designed to give a structured understanding of business analytics. Initially you will be given an overview of big data and business analytics. You will then be taught the analytical techniques underpinning business analytics.

The focus will then be on analytical techniques applicable to specific organisational functions such as: marketing, operations, finance and logistics. We will also develop your skills to improve your business understanding and important communication skills. In addition you will get some commercial research experience for your CV either through your project and dissertation or through the Postgraduate Company Internship (subject to meeting criteria).

Please note: Students will need to pass all Semester 1 modules and attend two compulsory employability skills workshops. After an interview with an internal panel of academics and formal presentation, successful students are selected by the host organisation.

WHAT WILL I LEARN?

The aim of the programme is to produce post graduate students who as well as understanding the value and benefits of business analytical techniques can apply these techniques and methods to organisation functions in order to facilitate data driven decision making for the organisation.

The objectives of the course are:
-To understand the context of big data and analytics within organisations
-To critically learn, understand and apply techniques underpinning business analytics
-To apply business analytical techniques relevant and appropriate for particular business functions
-To effectively use information tools to deliver effective communication of analysis leading to actionable results

The course consists of the following modules: Big Data and Big Analytics; Business Statistics; Data Mining Methodologies and Applications; Business Modelling; Applied Marketing Analytics; Operations Analytics; Financial Analysis for Decision Making; Global Supply Chain and Logistics; Dissertation or The Postgraduate Consultancy Project.

HOW WILL THIS COURSE ENHANCE MY CAREER PROSPECTS?

The MSc Business Analytics graduate will have an opportunity to enter the field of Business Analytics and Consultancy in small, medium or large organisations across the globe. Graduates could enter professions such as management consultants, business analysts, policy analysts, market researchers, operations researchers and data scientists. They could work in public, private and voluntary sectors where such analytical skills would give organisations competitive advantage.

The transferable skills that students develop whilst on the programme will enable them to search for opportunities within and beyond business analytics.

OPPORTUNITIES FOR AN INTERNATIONAL EXPERIENCE

There will be an emphasis on intercultural experiences for students on the MSc programme via:
-The opportunity for students to enrol on the Global Leaders programme.
-Advertised field trips throughout the School.
-The use of international case studies and examples.

GLOBAL LEADERS PROGRAMME

To prepare students for the challenges of the global employment market and to strengthen and develop their broader personal and professional skills Coventry University has developed a unique Global Leaders Programme.

The objectives of the programme, in which postgraduate and eligible undergraduate students can participate, is to provide practical career workshops and enable participants to experience different business cultures.

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Programme description. Given the ever-increasing volume of data that businesses have access to today, there is a demand for employees who have computational and analytical skills and who can help inform business decisions to increase efficiency and ultimately build a competitive edge. Read more

Programme description

Given the ever-increasing volume of data that businesses have access to today, there is a demand for employees who have computational and analytical skills and who can help inform business decisions to increase efficiency and ultimately build a competitive edge. Our Masters in Business Analytics has been developed with just that in mind and aims to train students to understand the variety of business environments as well as importance and relevance of decision problems facing organisations and ways of solving these using a variety of techniques.

Students will learn how to apply descriptive, predictive, and prescriptive analytics of big data concepts and techniques to generate valuable insight that can assist with decision making. Last, but not least, the Masters will provide students with hands-on experience in applying these concepts and using these techniques and most of the popular analytics software through their projects including industry projects. In sum, the programme aims to equip students with the skills required to interpret, conceptualise and convert Big Data into useful information and thus enabling students to make better informed decisions as future business managers.

Programme structure

All students attend and complete four core courses in Semester 1 and four option courses in Semester 2. The programme concludes with a 60-credit Dissertation.

Learning outcomes

General Educational aims are to:

  • Enable all participants to recognise, understand and apply the language, theory and models of the field of business analytics.
  • Foster an ability to critically analyse, synthesise and solve complex unstructured business problems.
  • Encourage an aptitude for business improvement, innovation and entrepreneurial action.
  • Encourage the sharing of experiences to enhance the benefits of collaborative learning.
  • Instil a sense of ethical decision-making and a commitment to the long-run welfare of both organisations and the communities that they serve.

Specific Educational aims are to:

  • Understand and critically apply the concepts and methods of business analytics.
  • Identify, model and solve decision problems in different settings
  • Interpret results/solutions and identify appropriate courses of action for a given managerial situation whether a problem or an opportunity.
  • Create viable solutions to decision making problems.

Career opportunities

It is anticipated that the demand for data analytics employees will continue and indeed grow as analytics is viewed as a key competitive resource by many companies. If market forecasts are anything to go by then the worldwide revenues for big data and business analytics will grow from $130.1 billion in 2016 to more than $203 billion in 2020 (Source: IDC). This will inevitably lead to further growth of the market for employees in the area of data analytics.

The new MSc in Business Analytics will offer students from a range of degree backgrounds the opportunity to equip themselves with an artillery of concepts, methods and applications of business analytics along with hands-on and practical experience in applying them to industry projects in different business settings. It is not just about being able to analyse and digest the data available but to then translate this into effective decision-making. In sum, we expect the new programme to open a range of career pathways in analytics for our graduates including business consultants, business analysts, business intelligence & analytics consultants, metrics & analytics specialists, analytics associates, data analysts, solution architects, business process analysts, management consulting associates, and operational research consultants.



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This programme is ideal if you wish to use your analytic skills to derive and obtain useful insights from large amounts of data. Read more
This programme is ideal if you wish to use your analytic skills to derive and obtain useful insights from large amounts of data. By equipping you with the rigorous modelling and consulting skills needed to understand, manage and communicate useful insights from ‘big data’, it prepares you to inform business decisions or government policies.

Taught modules are delivered by our group of internationally recognised management scientists who are actively working with business, government and non-profit organisations to tackle routine, strategic or policy problems.

Our industry advisory board ensures that the focus of our taught modules is of both academic and practical relevance. IBM, our partner, has jointly developed with us two modules (Customer Analytics and Leading Analytics Initiatives), and sponsors a student prize.

During the summer, you will undertake a supervised consulting or research project. This will give you the opportunity to apply powerful tools such as data mining, forecasting, optimisation, simulation and decision analysis to a particular area of business or policy, equipping you with skills highly prized by employers.

Core study areas include consulting for analytics, discovery analytics, decision analytics, managing big data, customer analytics, leading analytics initiatives, operations analytics, policy and strategy analytics, and a consulting or research project.

See the website http://www.lboro.ac.uk/study/postgraduate/programmes/departments/business-economics/business-analytics-consulting/

Programme modules

Semester 1:
- Consulting for Analytics
You will learn the craft and skills required by analytic consultants, and which employers look for but often find lacking. It will cover process aspects of analytics projects, as well as skills in client interaction, problem structuring and data elicitation (with individuals and/or groups, and with hard/soft data), presenting data-driven analyses, report writing, and developing simple bespoke decision support systems.

- Discovery Analytics
You will be introduced to common statistical methods to explore and visualise cross sectional and temporal data. You will also learn about the design and conduct of data collection efforts, together with methods for dealing with data outliers and missing data. Industry-leading tools that are in high demand from employers (e.g. SAS and SPSS) will be used.

- Decision Analytics
Your will be introduced to common operational research techniques to help determine the best course of action for a given decision or problem. Topics covered include optimisation, simulation and decision and risk analysis.

- Managing Big Data
Your will learn about the challenges and opportunities derived from the increased volume, variety, velocity and value of data that is available today. A range of big data topics will be covered including data type, data integration, data technologies, and data security.

Semester 2:
- Customer Analytics
You will focus on analytics techniques that can help organisations gain a deeper insight into customers’ behaviour and attitudes towards their products and services. It will cover approaches designed to provide a profile of customer segments, such as those grounded in data mining and multivariate statistical analysis. Industry-leading tools that are in high demand from employers (e.g. SAS and SPSS) will be used. There is an IBM sponsored student prize on this module.

- Leading Analytics Initiatives
You will learn about the issues associated with implementing an analytics capability in organisations. It will cover topics on how to develop an analytics strategy, how to embed analytics in organisational processes to ensure they deliver value, and how to deploy analytics throughout the organisation to improve decision making. There is an IBM sponsored student prize on this module.

- Operations Analytics
You will focus on analytics techniques that can help organisations to develop a better understanding of operational processes, and identify efficiency and cost reduction opportunities. Topics covered include advanced optimisation and simulation techniques.

- Policy and Strategy Analytics
You will focus on analytics techniques designed to tackle complex policy and strategic issues. It will cover approaches designed to explain the behaviour of complex social systems or assess the consequences of complex decisions, in order to provide the levers for policy and strategy making in a variety of sectors.

Summer:
- Consulting or Research Project

Assessment

Taught modules are assessed by a mixture of coursework and examinations.
The summer project is assessed via a written dissertation.

Careers and further study

Business analytics is a new and rapidly developing field, and individuals with analytics skills are in short supply.
Graduates from this programme can expect to work as management consultants, business analysts, policy analysts, marketing researchers, operations researchers, and data scientists.
We have developed two modules - Customer Analytics and Leading Analytics Initiatives - in close collaboration with our partner IBM, who also sponsor a student prize.

Why choose business and economics at Loughborough?

Loughborough’s School of Business and Economics is a thriving forward-looking centre of education that aims to provide an exceptional learning experience.

Consistently ranked as a Top-10 UK business school by national league tables, our graduates are highly employable and enjoy starting salaries well above the national average.

The rich variety of postgraduate programmes we offer ranges from taught masters, MBA and doctoral programmes, to short courses and executive education, with subjects spanning Management, Marketing, Finance and Economics, Work Psychology, Business Analytics, International Crisis Management and Information Management. New for 2016, we are also launching two exciting new programmes in Human Resource Management. All of this contributes to a lively and supportive learning environment within the School.

- Internationally Accredited
The School of Business and Economics is one of less than 1% of business schools in the world to have achieved accreditation from all three major international accrediting bodies: The Association to Advance Collegiate Schools of Business (AACSB International), EQUIS accreditation from the European Foundation for Management Development (EFMD) and the Association of MBAs (AMBA).

- Career Prospects
Our graduates are in great demand. Over 94% of our postgraduate students were in work and/or further study six months after graduating.* As such, you will be equipped with skills and knowledge that will serve you well in your career or enable you to pursue further study and research.

*Source: DLHE

Find out how to apply here http://www.lboro.ac.uk/study/postgraduate/programmes/departments/business-economics/business-analytics-consulting/

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The Big Data in Business pathway will provide you with the knowledge and skills to understand and direct the strategic use of the vast amounts of information being generated by businesses today. Read more

The Big Data in Business pathway will provide you with the knowledge and skills to understand and direct the strategic use of the vast amounts of information being generated by businesses today.

Commercial focus

Our students learn to develop a strategic approach to managing Big Data in business, through the analysis of business problems as well as understanding different approaches to business intelligence. Through this, they are able to create usable business intelligence to create competitive advantage for their organisation.

After you’ve graduated

Our graduates have will leave us with the knowledge and skills necessary to analyse and manage Big Data to benefit business in a variety of sectors.

Not sure which pathway to choose from 3 choices? Apply for the one that you feel fits you better and you will be able to change the pathway within the first few weeks from your arrival to the university.

Why Henley?

  • Consistently maintain highest standards: Henley is in top 1% of business schools worldwide to hold accreditation from all three bodies in the UK, Europe and US
  • Excellent networking potential : 72,000 Henley alumni members in 150 countries
  • High calibre students: always oversubscribed, 1,000 ambitious new Masters students join Henley each year
  • Award winning campus: beautiful, green, 134 hectares, with state of the art facilities
  • World-leading faculty: widely published, frequently asked for expert comment by media and to speak at events
  • Henley is proud to be part of the University of Reading. The University is ranked within the top 200 universities worldwide (Times Higher Education World University Rankings 2016/17 and QS World University Rankings 2018) and 98% of the research is rated as being of international standard.

Course content

Compulsory modules

Optional modules

In addition students must choose two optional module from the list below.

Please note there is no guarantee that in any one year all modules will be available. 

How we teach you

A holistic approach

Effective leadership requires more than first-class business acumen. It also requires a degree of self-awareness and sensitivity. Henley is renowned for its well-researched, professional approach to this aspect of business education and all our postgraduate programmes examine this aspect of leadership - helping to create emotionally intelligent graduates who can be fully effective in their chosen careers.

How you will learn

Henley Business School enjoys a strong reputation for the practical application of business ideas and concepts, underpinned by academic excellence and the strength of our research. We offer high-quality technical skills training as well as a deep understanding of the importance of personal development for leaders, a thread that runs through all of our Masters programmes.

Our postgraduate masters programmes feature a mix of core and optional modules, allowing you to tailor your degree towards your individual personal development needs and career ambitions. You will complete up to 10 taught modules during your programme, totalling 180 credits. One module usually equates to 20 credits or 10 hours of work per week. Your week will include lectures, tutorials, workshops and personal study, with each accounting for 25% of your time on average. This stimulating mix of lectures and interactive tutorials provides you with the opportunity to discuss and explore the subject material in depth with your lecturers and fellow students. You will be introduced to the latest thinking and research findings and be able to challenge some of those that have created it. You will also explore real-world issues and tackle current business challenges, and interact with guest lectures and speakers from industry, giving you the opportunity to test, extend and refine your knowledge and skills.

How we assess you

You will learn and be assessed through a wide variety of teaching methods which vary depending on your chosen Masters programme. These include online materials and multimedia content, guest lectures, individual and group assignments, case studies, field visits, dealing room simulations, presentations, applied projects, consultancy work and examinations.

On average examinations form around 70% of the assessed work with the remaining 30% coming from coursework, including a written dissertation or project depending on your chosen programme. The exam period falls between April and June in the summer term, with students taking an average of 5 or 6 exams. Graduation normally takes place in December.

Ongoing support

While postgraduate students are self-motivated and determined individuals, study at this level can present additional pressures which we take seriously. Lecturers are available to discuss the content of each module and your personal tutor can meet with you regularly to discuss any additional issues. Full-time support staff are also available to help with any questions or issues that may arise during your time at Henley

Careers and accreditations

Each pathway of our MSc Information Management is designed to give a rigorous academic understanding of real-life and current business issues. Graduates of the Big Data in Business pathway will be equipped to develop strategies to manage Big Data. These skills are much in demand, in a variety of fields.  

A number of our students join our PhD programmes each year.

Students who pass the module – Business Domain and Requirements Analysis with a mark of 60 or above will be eligible for the British Computer Society Professional Certificate in Business Analysis Practice.



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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. Read more

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.

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.

Course content

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.

Course structure

Compulsory modules

You’ll take eight compulsory modules including your dissertation.

  • Effective Decision Making 15 credits
  • Dissertation 45 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

Optional modules

You'll also choose another three 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.

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.

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.

Careers support

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.



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Why choose the MSc in Business Analytics?. Do you want to be a professional analyst who understand both the technologies and the business?. Read more

Why choose the MSc in Business Analytics?

  • Do you want to be a professional analyst who understand both the technologies and the business?
  • Do you want to master the skills in making data-driven business decisions?
  • Do you want to learn the practical use of data visualization tools, statistical analysis tools, and big data technologies?

What is business analytics?

Business Analytics is the intersection of management science and machine learning in real world applications.

It offers new potential to improve financial performance, strategic management and operational efficiency.

Business Analytics is an increasingly critical component in preparing organizations to solve 21st-century business challenges and support data driven decision making.

Programme overview

Our MSc Business Analytics programme is a one year, full-time programme consisting of 6 core modules, and 2 elective modules from a choice of 7 elective modules.

The core modules are conducted via lectures, tutorials, and computer laboratory sessions. Students undertake the dissertation project in Business Analytics in collaboration with one of our international industrial partners.

Graduates of the programme will have gained the necessary skills and knowledge in a range of fields, including business operation, database, statistics, informatics, data analytics, machine learning and big data technologies in real-world business contexts.

Applicants for this programme are required to have at least a second class honours in the first division or international equivalent in any discipline, including business and management, and at least 10 credits equivalent value with significant mathematical/statistical content (However, this course is not suitable for students who have previously studied a significant amount of business analytics).

Teaching and Learning

Our learning environment is highly interactive and innovative with student-centred learning activities.

Other than examinations, our students will be assessed via essays writing, practical exercises, group and individual projects, and oral presentations.

The dissertation focuses on developing students’ skills in applying analytic techniques, communicating and solving the data analytics problem.

Career options for this degree

The area of business analytics is growing in financial sectors, customer services, enterprise optimization, and consumer marketing.

When our students graduate, they will be able to:

  • Find a job in the business firms that require the knowledge of big data and advanced analytic techniques.
  • Study the organisations, management, and international external environments.
  • Gain business insights and professional skills in data mining, data visualization, data management, process modeling, predictive and advanced analytics.
  • Develop the ability to optimize the business processes and management practice.
  • Contribute to business and society at large.

What are the potential careers of our graduates?

  • Business intelligence analytics,
  • Marketing analyst
  • Business systems analyst
  • Data scientist
  • Business consultant
  • Solution Architects


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