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In our social media and mobile-driven world, data and digital marketing have never been more vital. Enroll in our Digital Marketing and Data Analytics online master's program to gain critical, in-demand skills and advance your marketing career. With courses in digital campaigns, branding, web and predictive analytics, social and mobile marketing, customer segmentation, and more, graduates of this program develop the digital and analytic skills you need to compete in today's insight-driven market.
In this program, you will learn how to:
The 32-credit program can be completed in one year for students choosing to take the accelerated course schedule, or in a 16-month or longer period. The program is designed to be flexible, meeting the needs of working professionals.
Ready to advance your career in digital marketing and analytics? Apply to our online graduate program in Digital Marketing and Data Analytics today.
The MA in Digital Marketing and Data Analytics can also be completed as individual certificate programs. Student have the opportunity to develop critical skills through our 16-credit graduate certificates in Digital Marketing or Data Analytics.
Our expertly designed online curriculum empowers working professionals to advance their careers in the areas of digital marketing and data analytics. According to the U.S. Bureau of Labor Statistics, the demand for advertising and marketing managers will grow by 9% over a 10-year span. With a balanced curriculum of digital-centric marketing and omni-channel customer analytics courses, graduates of the program develop digital and analytic skills that are necessary to compete in today's dynamic insight-driven marketing environment.
You can complete our 32 credit program entirely online. The program curriculum is made up of four classes (16 credits) for Digital Marketing and four classes (16 credits) for Data Analytics. The online environment provides the flexibility to meet the needs of busy working professionals. Students can choose to take between 1-3 classes a semester and can complete the program in as little as 1-year with our accelerated option.
The program allows students who are eager to gain critical, in-demand digital marketing or data analytics skills to choose one of our 16 credit certificate options. Upon completion of a certificate, students have the option to apply to continue and complete the full degree program. The certificate program is made up of the 4 Digital Marketing or Data Analytics courses.
The student learning outcomes of the Digital Marketing and Data Analytics program balance the priorities of both digital marketing and data analytics. Students will be able to:
Digital Marketing
Data Analytics
Drawing upon Emerson's longstanding expertise in strategic communication, the Department of Marketing Communication has created a unique online master's program that equips working professionals with the cross-functional skills required to be successful in today's insight-driven marketing environment.
Our online learning and collaboration platform offers a student-centric learning experience. Enrollment in each course is capped at 20 to maintain a low student-to-faculty ratio. Smaller class sizes promote interactive learning and stimulating discussions with peers and faculty.
Students in this program are exposed to industry leading analytics software such as SAS Studio, SAS Enterprise Miner, Google Analytics, and social analytics platforms to acquire the skills to turn data into valuable insights that support better decision-making across myriad business applications.
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.
The following modules are indicative of what you will study on this course.
Core modules
Option modules
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.
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.
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.
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.
The following modules are indicative of what you will study on this course.
Core modules
Option modules
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.
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.
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.
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.
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.
General Educational aims are to:
Specific Educational aims are to:
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.
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Finance and Business Analytics at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
The Master's (MSc) in Finance and Business Analytics is designed to pair the key areas of finance and business analytics. This programme takes a data driven approach to the analysis of financial, market and organisational information. In addition, to cover the key principles of finance, financial modelling and financial markets, the programme includes modules on business analytics and data mining to equip students to work in the data driven areas of finance and financial management.
- A full conversion programme that may be completed in a single year
- Does not require accounting, finance or any quantitative study to be completed at undergraduate level
- All modules on the Finance and Business Analytics programme are taught by our world-class faculty who have a breadth of industrial and academic knowledge
- Swansea is joint 1st in Wales for international ranked research (REF 2014)
- A wide range of professional accreditations to accelerate your career depending on the optional modules you take
- Access to the School of Management investment and trading simulation room to support in-depth understanding of finance in practice
- 93% of Swansea students in employment six months after graduating
- High contact time – our modules come with a lecture (in class sizes capped at approximately 150 students) and seminar/tutorial (in class sizes capped at 30) every single week
- Fully refurbished facilities – we have invested half a million pounds in a recent refurbishment to our student facilities
- Scholarships available for outstanding students
- Swansea is 1st in Wales for world-leading impact - 60% at 4-star level (REF 2014)
No previous study of business analytics or any quantitative subject is required to undertake the Finance and Business Analytics programme.
Modules on the MSc Finance and Business Analytics programme may include:
Principles of Finance
International Financial Markets
Financial Statement Analysis
Quantitative Financial Analysis
Principles of Law for Accounting and Finance
Financial Modelling
Business Analytics
Data Mining
Corporate Governance & Ethics
Contemporary Issues in Finance
Business Planning and Theory of Entrepreneurship
Project Management
International Management
The MSc Finance and Business Analytics has been awarded the following ACCA exemptions:
F1 - Accountant in Business
F2 - Management Accounting
F3 - Financial Accounting
This means that graduates of our MSc Finance and Busines Analytics will be exempt from three out of nine of the ACCA ‘Fundamentals’ examinations. Students graduating from the Finance and Business Analytics programme can now leave Swansea as part-qualified accountants and just have to sit the remaining eleven.
We have an excellent track record of placing our graduates with major multinational companies and our graduate employment rate is 92%.
From the moment you arrive at the School of Management as a Finance and Business Analytics student we will work with you to help you build your skills and experience to enhance your career prospects. During your time with us you’ll have the chance to:
- Undertake a work placement or internship through the Swansea Paid Internship Network (SPIN) or ‘Week of Work’ initiative
- Work and network with employers from a range of national and multi-national companies through our visiting speaker programme
- In conjunction with the International Development Office, undertake an Internship in India, with a company such as GE, Thomson Reuters, 3M, Private Equity or Kanvic Consulting
- Boost your skills and meet employers during our biannual Employability Week
- Complete the Swansea Employability Award
- Participate in one of our student challenges and competitions, such as the Branding Challenge, and CIM student competition ‘The Pitch’
Finance and Business Analytics students will be based in a state-of-the-art building and will benefit from the applied research, innovation and employment opportunities offered by this exceptional working environment on the Bay Campus.
Finance and Business Analytics students will have access to high-tech teaching and research spaces, that together with collaborative working and practice areas will ensue the School is able to deliver its commitment to offer an engaging and innovative student experience.
Our MSc in data analytics is designed to create rounded data analytics problem-solvers.
This course focuses on the uses of data analytics techniques within business contexts, making informed decisions about appropriate technology to extract knowledge from data and understanding the theoretical principles by which such technology operates.
You'll gain a comprehensive skill set that will enable you to work in a variety of sectors using a blended learning approach that combines theory, intensive practice and industrial engagement.
Strathclyde's MSc in data analytics is unique by bringing together essential skills from three departments, Management Science, Mathematics & Statistics, and Computer & Information Sciences (CIS), in order to address the needs of a fast-growing industry.
This collaboration avoids the narrow interpretation of this subject offered by competitor institutions and presents significant opportunities for businesses to recruit data analytics experts with a high-level expertise and knowledge.
The course will have a duration of 1 year, with two semesters of classes (120 credits in total) followed by an MSc dissertation project (60 credits) during the summer.
The class Data Analytics in Practice (20 credits) will be run over both semesters to provide you with a practical environment to apply methodological learnings from other classes into challenging projects from industry.
Semester 1
Semester 1 will additionally consist of five 10-credit core modules as listed under 'Course Content' which will provide the technical background to students. The contributions in Semester 1 will be split evenly between three departments.
This semester is designed to provide you with the fundamental technical analytics knowledge from all three departments.
Semester 2
Semester 2 will additionally consist of a 10-credit core module as well as 40 credits worth of elective modules. To ensure breadth of knowledge, you'll be required to choose electives from at least two departments. This semester is designed to extend your core skills and provide you with opportunities through a broad range of electives to specialise in areas that you are particularly interested to excel.
The only technical core class will provide you with a thorough theoretical and practical understanding of optimisation techniques essential for data analytics, whereas each of the three departments will offer four to five elective courses, the majority of which are accessible to everyone on the course without any prerequisites. The final component of the MSc course will be a summer dissertation project, which can be completed either through a client-based project or a desk-based research project, depending on your interests. You will submit your dissertation in September to complete your degree requirements (pending any resits).
You will have optional opportunities to complete your MSc summer dissertation projects in client-based projects, where a number of host organisations will be arranged by the department. These projects will be normally unpaid, however, all costs such as travel and accommodation will be covered by the host organisation if out of town.
The taught modules on the programme introduce you to a variety of tools, techniques, methods and models. However, the practical reality of applying analytical methods in business is often far removed from the classroom. Working with decision-makers on real issues presents a variety of challenges.
For example, data may well be ambiguous and hard to come by, it may be far from obvious which data analytics methods can be applied and managers will need to be convinced of the business merits of any suggested solutions. While traditional teaching can alert students to such issues, understanding needs to be reinforced by experience.
This is primarily addressed by the core module ‘Data Analytics in Practice’, which takes place over both semesters. Every year, case studies and challenging projects are presented to our students by various organisations.
Strathclyde Business School (SBS) is one of the 76 triple-accredited business schools in the world, and is one of the largest of its kind in Europe. SBS was also recently selected as the "Business School of the Year" in Times Higher Education (THE) Awards.
The three departments involved in this course work together to provide a dynamic, fully-rounded and varied programme of specialist and cross-disciplinary postgraduate course.
The course is delivered in various ways. While most classes have regular lectures, tutorials and hands-on software sessions, experiential learning is a crucial part of the course. This is delivered through projects and case studies with various external organisations, and MSc projects.
There are also guest lectures and recruitment events throughout the year, as well as a number of career support sessions that provide you with invaluable career information and generic job hunting skills such as CV writing and how to handle interviews.
Every module has its own methods of assessment appropriate to the nature of the material. These include written assignments, exams, practical team projects, presentations and individual projects. Many modules involve more than one method of assessment to realise your potential.
The aim of the MSc in data analytics is to develop graduates who can use data analytics technology, understand the statistical principles behind the technologies and understand how to apply these technologies to solve business problems.
Graduates will be able to bridge the various knowledge domains that are relevant for tackling data analytics problems as well as being able to identify emerging themes and directions within data analytics. Graduates will display abilities across the three component disciplines
Companies need people who can take data and transform it into a powerful strategic asset. This specialisation provides a rigorous, practical foundation in the key skills needed to unlock the value of data, and an in-depth understanding of how companies can use data to make decisions and improve business performance.
Business Analytics (with specialisation in Management Science) is taught by UCL School of Management (in conjunction with UCL Computer Science). It combines modules that explore how data and analytics are transforming key areas of business (decision-making, strategy, marketing, operations) with modules that provide the mathematical and computational skills needed to make effective use of the latest business analytics tools.
Students undertake modules to the value of 180 credits.
The programme consists of six core modules (90 credits), two optional modules (30 credits) and a dissertation/report (60 credits).
Core modules
Optional modules
Students take two optional modules from a selection of elective modules offered by the UCL School of Management and other selected UCL departments. Possible electives, subject to agreement, may cover topics including software engineering, consulting psychology, project management and network analysis.
Dissertation/report
All students undertake an independent research project which culminates in a dissertation of 12,000 words.
Teaching and learning
The programme is delivered through a combination of lectures, seminars, tutorials and project work. Assessment is through unseen written examinations, coursework and the dissertation.
Further information on modules and degree structure is available on the department website: Business Analytics (with specialisation in Management Science) MSc
Graduates from this new programme will be likely to find employment in global companies and high-growth businesses, finance and banking organisations, and consulting firms.
Employability
Students will develop strong quantitative and analytical skills, an in-depth understanding of how companies use data to make decisions and improve business performance, and practical experience with leading business analytics tools.
They will be equipped to influence strategy and decision-making, and be able to drive business performance by transforming data into a powerful and predictive strategic asset.
The world is changing: more than 30 billion pieces of content are shared on Facebook every month; and companies are capturing trillions of bytes of information about their customers, suppliers, and operations. This explosion of data is disrupting industries and creating new opportunities. Companies need people who can take data, understand it, process it, extract value from it, visualise it, and communicate it. They need people who deeply understand data, its potential and its limitations, who can frame business problems, analyse data with statistical techniques, develop and maintain predictive models, and communicate analytics results to business executives, partners and customers.
Business Analytics requires a combination of management insight, strong quantitative and analytical skills, and an understanding of the technology required to handle data at scale.
UCL School of Management offers innovative undergraduate, postgraduate, and doctoral programmes to prepare people for leadership roles in the next generation of innovation-intensive organisations. The school works closely with global companies and high-growth businesses at the cutting-edge of management practice. UCL Computer Science is a global leader in research in experimental computer science.
Students on the Business Analytics (with specialisation in Management Science) MSc will benefit from the extensive industry networks of both departments.
The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.
The following REF score was awarded to the department: UCL School of Management
70% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)
Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.
Data Analytics is an exciting field of rapid developments. Data is everywhere and continuing to grow massively, creating huge growth in demand for qualified experts to be able to extract the real benefit from the data.
The role of a data scientist is highly diverse overlapping many areas from computer science, to the fundamentals of mathematics, statistics, modelling and analytics while also requiring the right skills to be able to see the detail, solve the problem (having specified the problem!), and communicate effectively the findings to colleagues to empower them to make decisions.
The diversity of data analytics opens up many job opportunities from working in software companies, healthcare, banking, insurance, policing, tech companies to applying your knowledge to intelligent buildings and behaviour analytics of customers.
The programme provides a balanced route to learning through a blend of academic study and lab sessions, with a heavy focus on practical engagement with industry. In the first and second semesters, you will study 6 modules full-time which include opportunities for blended and collaborative learning. In the third semester you will undertake a significant industry based project.
Aim
The aim of the programme is to offer a multi-disciplinary education in data analytics that prepares graduates with key knowledge, skills and competencies necessary for employment in analytics and data science positions. In particular, the programme aims to provide students with:
Modules include:
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Management (Business Analytics) at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
We offer a Master's in Management for students from any background who would like to work in business or management. The Management (Business Analytics) programme has been specifically designed with a clear focus on management in an interconnected global community. The Management (Business Analytics) covers core management concepts such as international marketing, operations management, global strategy, finance and international human resource management. To help you get the best from your studies, the Management (Business Analytics) programme also includes an academic skills module that covers issues such as research methods, presentation skills, group dynamics and employability support.
- Generalist MSc Management - for you to create your own mix of specialist modules
- Marketing - focused on the challenges of global marketing activities
- Finance – for students interested in financial aspects of management
- Human Resource Management – focused on the challenges of leadership and managing a global work force
- Entrepreneurship – for students interested in the dynamics of starting their own business
- Operations and Supply Management – focused on the management of global operations and supply networks
- International Management – considers contemporary management practice in a global setting
- International Standards – focused on the role of internationals standards (such as ISO) in quality improvement
- Business Analytics – to equip students to work in the era of ‘big data’
- E-Business - investigates the challenges and opportunities of global information systems networks and e-commerce
- All modules on the Management (Business Analytics) programme are taught by our world-class faculty who have a breadth of industrial and academic knowledge
- Swansea is joint 1st in Wales for international ranked research (REF 2014)
- 93% of Swansea students in employment six months after graduating
- High contact time – our modules come with a lecture (in class sizes capped at approximately 150 students) and seminar/tutorial (in class sizes capped at 30) every single week
- Fully refurbished facilities – we have invested half a million pounds in a recent refurbishment to our student facilities
- Scholarships available for outstanding students
- Swansea is 1st in Wales for world-leading impact - 60% at 4-star level (REF 2014)
The MSc Management (Business Analytics) is designed for students interested in understanding the dynamic data driven elements of the business world – from the data behind the internet to global supply pipeline logistics management. This programme on the MSc in Management (Business Analytics) is focused on preparing graduates for work in the era of ‘big data’.
Modules on the Management (Business Analytics) programme may include:
Professional Skills Development
Human Resource Management
Marketing Management
Operations Management
Strategy
Business Analytics
Data Mining
Research Methods
We have an excellent track record of placing our graduates including those from the Management (Business Analytics) programme with major multinational companies and our graduate employment rate is 92%.
From the moment you arrive at the School of Management as a student on the Management (Business Analytics) programme we will work with you to help you build your skills and experience to enhance your career prospects. During your time with us you’ll have the chance to:
- Undertake a work placement or internship through the Swansea Paid Internship Network (SPIN) or ‘Week of Work’ initiative
- Work and network with employers from a range of national and multi-national companies through our visiting speaker programme
- In conjunction with the International Development Office, undertake an Internship in India, with a company such as GE, Thomson Reuters, 3M, Private Equity or Kanvic Consulting
- Boost your skills and meet employers during our biannual Employability Week
- Complete the Swansea Employability Award
- Participate in one of our student challenges and competitions, such as the Branding Challenge, and CIM student competition ‘The Pitch’
Environment:
The School of Management comprises over 150 staff and more than 2000 students studying at the new £450million Bay Campus, with the School of Management building itself providing truly world-class facilities with an impressive communal Atrium, new teaching rooms, meeting room and IT equipment.
School of Management, alongside the Great Hall, also proudly offers high quality conferencing and event capacity all within half a mile of the M4 corridor, that has already attracted several high profile and key events during the short time that the Bay Campus has been open.
Ambition:
Through its enterprise and innovation activities of business engagement the School plans to focus on three global challenges: Health & Wellbeing, Digital Society and Sustainable Economies. The School of Management's aim is to deliver world-class education through collaboration, innovation and fresh thinking, and we pride ourselves on the outstanding student experience on offer here at the School of Management ensuring a rich learning environment, while also developing our staff in line with Swansea University's wider ambition to anchor and underpin everything we do with a core set of values.
Opportunity:
School of Management aspires to be known globally as a centre for educational excellence, working in partnership with other Swansea University departments and organisations to create joint programmes that reflect the skillsets required by an evolving workplace.
The digital revolution has led to an unprecedented volume of information about consumers, which progressive organisations are eager to understand and use. This innovative masters degree will give you the practical skills to analyse consumer data and provide insights for successful marketing strategies.
Taught by leading academics from Leeds University Business School and School of Geography, you’ll explore a range of analytical techniques including applied Geographic Information Systems (GIS) and retail modelling, consumer and predictive analytics and data visualisation. You’ll also develop the softer skills to use the results of these analyses to inform decisions about marketing strategy.
Thanks to our connections with businesses worldwide, you’ll have access to emerging trends in topics such as consumer behaviour, decision science and digital and interactive marketing. You’ll further develop your practical skills with the opportunity to work on a live data project provided by a company.
Academic excellence
This courseoffers you a rare combination of teaching expertise; the Business School’s academic excellence in Marketing alongside world-class teaching from the School of Geography, which draws on the knowledge of the Centre for Spatial Analysis and Policy.
The University of Leeds is a major centre for big data analytics and you’ll benefit from affiliation with the UK’s Consumer Data Research Centre. The centre aims to make data that are routinely collected by businesses and organisations accessible for academic purposes. Coordinating and analysing this large and complex data has the potential to increase productivity and innovation in business, as well as to inform public policy and drive development.
Read an interview with the academic team to learn more about our expertise and the growing importance of this emerging subject area.
Core modules will introduce you to a range of analytical methods, ensuring you develop a solid foundation in the essential skills for consumer analytics and marketing strategy.
You’ll learn how to analyse geographic data using GIS software and understand the application of this in retail modelling, to evaluate new markets and locations. You’ll study predictive analytics, big data and consumer analytics, business analytics and decision science, and learn how to communicate results through data visualisations.
Alongside this, you’ll learn how to deploy data to inform decisions about marketing strategy. Marketing modules include marketing strategy, consumer behavior and direct, digital and interactive marketing. You’ll also deliver your own data-driven marketing research project for a company.
Optional modules allow you to further your knowledge in a related area of interest, either corporate social responsibility, internal communications and managing change, or applied population and demographic analysis.
By the end of the course, you’ll submit an independent project. You can either research a topic in-depth and submit a dissertation, or gain practical experience through a consultancy project working with an external organisation.
Compulsory modules
You’ll take the nine compulsory modules below, plus your dissertation, which can be a choice of either a research dissertation or marketing consultancy project.
Optional modules
You'll take one further optional module.
We use a range of teaching methods so you can benefit from the expertise of our academics, including lectures, workshops, seminars, simulations and tutorials. Company case studies provide an opportunity to put your learning into practice.
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.
As a graduate of this course you will be equipped with advanced skills in consumer analytics and marketing strategy, ideal for those wishing to pursue a career in consumer data analytics, marketing and/or management.
Due to the digital revolution, companies from around the world and in many industrial sectors have access to greater amounts of data.
The most progressive companies in the world are particularly interested in marketing graduates with strong analytical skills, and typical roles could include marketing or consumer data analyst, direct marketing manager, marketing manager, retail manager, or marketing or management consultant.
As a masters student you will be able to access careers and professional development support, which will help you develop key skills including networking and negotiating, and put you in touch with potential employers.
Our dedicated Professional Development Tutor provides tailored academic and careers support to marketing students. They work in partnership with our academics to help you translate theory into practice and develop your interpersonal and professional business skills.
You can expect support and guidance on career choices, help in identifying and applying for jobs, as well as one-to-one coaching on interpersonal and communication skills.
Read more about careers support at the Business School.
At the intersection between data science, statistics and management, Business Analytics consists of using data to inform strategic decision making under uncertainty and to optimise business processes. In the digital economy with the proliferation of data, businesses have understood the tactical and strategic importance of analytics - the learning from data - as a critical field to detect and monitor client behaviours and expectations, or even future market trends.
Business Analytics tries to answer the following questions: "What has happened?" (descriptive analytics), "Why did it happen?" (explanatory or diagnostic analytics), "What will happen?" (predictive analytics) and "What should be done?" (prescriptive analytics). As such, Business Analytics is about bringing the business questions to the data.
Investing in Business Analytics can lead to a substantial competitive advantage, which, in certain sectors, ensures prosperity or even survival. Analytics is also one of the most promising approaches for public authorities who, in terms of transport, energy or public health, are required to manage and leverage the explosion of data to generate greater value for both businesses and society.
Given the increasing importance of "big data" in the economy, GSEM offers a new master program in Business Analytics that provides a wide range of career opportunities. This program responds to the growing need of medium to large organisations to leverage the use of data and to transform data assets into better management decisions.
With the proliferation of data and the present lack of analytical talent, students of the Master in Business Analytics will have excellent career opportunities across the globe. The McKinsey Global Institute estimated in 2016 a demand of 2 to 4 million “business translators” that serve as the link between analytical talent and practical business applications in the US economy by 2026. In 2017, the Business Higher Education Forum and PricewaterhouseCoopers projected data science and analytics-related job postings in the US alone to grow from 2.35 million in 2015 to 2.72 million by 2020.
The application procedure opens every year at the beginning of January.
Applications close on 28 February for all students.
There is only one Master intake in September every year. Attendance is mandatory for admitted students from day one.
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.
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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