• University of Edinburgh Featured Masters Courses
  • Jacobs University Bremen gGmbH Featured Masters Courses
  • Swansea University Featured Masters Courses
  • University of Bristol Featured Masters Courses
  • Northumbria University Featured Masters Courses
  • Aberystwyth University Featured Masters Courses
  • University of Derby Online Learning Featured Masters Courses
  • University of Surrey Featured Masters Courses
King’s College London Featured Masters Courses
Staffordshire University Featured Masters Courses
Durham University Featured Masters Courses
University of Glasgow Featured Masters Courses
University of the West of England, Bristol Featured Masters Courses
"web" AND "analytics"×
0 miles

Masters Degrees (Web Analytics)

We have 152 Masters Degrees (Web Analytics)

  • "web" AND "analytics" ×
  • clear all
Showing 1 to 15 of 152
Order by 
MSc Business Analytics has been designed to help you gain the skills and qualifications needed to pursue a career in business analytics. Read more
MSc Business Analytics has been designed to help you gain the skills and qualifications needed to pursue a career in business analytics. Big data and business analytics are areas where employers are finding increasing difficulty in recruiting graduates with the right qualifications and skills. There is a growing demand for such roles but also a significant gap between current graduates’ analytical skills and employers’ needs. By completing this programme, you will improve your employability opportunities by gaining the expertise needed to analyse big data, improve decision-making and help companies gain a competitive advantage.

This programme will equip you with the quantitative skills needed to understand and engage with complex data as well as the analytical tools to drive business advantage. You will deepen your knowledge of business analytics, web analytics, data mining and management consultancy with a view to using that knowledge to improve the decision-making process in business.

Subject guide and modules

Core Modules
-Descriptive Analytics
-Decision Models
-Performance Analytics
-Effective Management Consultancy
-Data Mining and Web Analytics
-Applied Research
-Business Analytics in Practice
-Gamification in Business Decisions
-Professional Development Programme.

The programme then concludes with a dissertation project.

Learning, teaching and assessment

You will be assessed through a mixture of examinations and coursework. The taught element of the programme is then complemented by a substantial piece of research leading to the completion of a dissertation. You should ensure that your choice of elective modules is consistent with your intended dissertation topic area.

You will acquire skills in the following areas: giving presentations, team working, report writing, negotiation and IT skills.

Career opportunities

This programme will prepare you for a range of specialist careers as a consultant, data analyst, manager or business analyst. Modern businesses in the UK and worldwide have a great need for professionals with analytical planning and big data analysis skills.

Our international alumni ambassadors share their experiences of studying at Aston Business School with students all over the world who consider applying for a course at Aston. Feel free to contact our ambassadors if you have any questions about 'Aston Life', the Campus, the courses or living in the UK/Birmingham.

Read less
What is special about this course?. In the past twenty years, the web has had a major impact on the way in which we work, live and learn. Read more

What is special about this course?

In the past twenty years, the web has had a major impact on the way in which we work, live and learn. As the sector continues to grow there is a constant need for individuals and organisations to keep abreast of new developments in the field. This programme has been designed to meet the needs of the global IT industry and will give you the advanced skills and expertise to excel in this fast-paced and competitive marketplace.

This fully online programme offers two specialised exit awards; the pathway you choose will depend on your own specific background and interests:

MSc Web Technologies

If your knowledge and experience of computing are already beyond that of an end-user and you wish to gain enhanced web technologies skills, then this pathway is for you. You will explore cutting-edge technologies and gain a solid grounding in programming and software development.

MSc Web Technologies with Management

This pathway, while primarily having a technological focus, will explore key aspects of business and management particularly relevant in an international environment. You will receive a thorough grounding in core management principles, practices and techniques strongly contextualised to web-based applications.

Both pathways will help you develop and build on your specific technical expertise, and gain practical, analytical, and highly transferable skills sought after by employers.

Special features

  • Gain a master's degree at a pace that suits you through online study
  • Fully online study allows you the flexibility to fit your study around work and personal commitments
  • Study individual modules for your own professional development or work towards the PgCert, Pg Diploma and ultimately a Masters award

How will I study my course?

  • You will study through supported online learning using the university's virtual learning environment (VLE)

How long will my course last?

  • Part-time (structured): Pg Cert 1 year, Pg Diploma 2 years, it will nornally take 3 years to complete the MSc. 
  • Part-time (unstructured): Individual modules chosen as CPD will normally take approximately 12 weeks to complete.

Where can I study my course?

  • Perth College UHI - You will be enrolled at Perth College UHI but can study this course from anywhere in the UK

Start date

  • September
  • January (subject to module availability)

Course Content

MSc Web Technologies:

  • Choose three subjects from the list below to achieve the PgCert Web Technologies (60 credits)
  • Successful completion of another three modules and you will have the PgDip Web Technologies (120 credits)
  • For the full Masters you will be required to complete a dissertation (180 credits).

Modules include:

  • Web services
  • Web technologies: cyber security
  • Mobile applications development
  • Web application development
  • Advanced web programming
  • Data modelling on the web
  • Data analytics on the web

MSc Web Technologies with Management:

  • Choose three subjects from module list 1 below and one from module list 2 to achieve the PgCert Web Technologies (60 credits)
  • Successful completion of another two modules from list 1 and one from list 2 and you will have the PgDip Web Technologies (120 credits)
  • For the full Masters you will be required to complete a dissertation (180 credits).

Module list 1:

  • Web services
  • Web technologies: cyber security
  • Mobile applications development
  • Web application development
  • Advanced web programming
  • Data modelling on the web
  • Data analytics on the web

Module list 2:

  • Corporate and competitive strategy
  • Understanding social media
  • Strategic marketing

What can I do on completion of my course?

On successful completion of the programme you will have improved your skills, confidence and knowledge levels, leading to enhanced career opportunities in different sectors of the IT industry. Alternatively, you may be interested in roles in the public sector, in academia, or through business start-up and growth.

Funding

From 2017, eligible Scotland domiciled students studying part-time who meet the residency eligibility can apply for a for a tuition fee loan up to £2,750 per year from the Student Awards Agency Scotland (SAAS).

Full details can be found on the SAAS website. Applications for loans open in April.

Students from the rest of the UK who meet the eligibility requirements may be able to apply for a loan from the Student Loan Company

You may also be able to apply for a government Professional and Career Development Loan



Read less
Digital Innovation and Analytics is an exciting new course at Royal Holloway. It is aimed at recent graduates, from any discipline, seeking to boost their employability in a digital economy, as well as professionals wanting to update their workplace knowledge and skills. Read more

Digital Innovation and Analytics is an exciting new course at Royal Holloway. It is aimed at recent graduates, from any discipline, seeking to boost their employability in a digital economy, as well as professionals wanting to update their workplace knowledge and skills.

The course focuses on the knowledge and skills required to manage digital technologies in the development and delivery of business innovations. It will equip you with an in-depth understanding of how to integrate digital technologies such as mobile computing, enterprise systems, social media, and data analytics tools to innovate business practices.

A key feature of the programme is the development of practical knowledge through industry connections and business case studies whilst providing a strong theoretical base on business management in the digital era.

On graduating you will have the ability to analyse business innovation opportunities and challenges and make well-informed tactical and strategic decisions. You will be confident in proposing and evaluating solutions to business problems by using data analytics skills, and be able to effectively communicate complex business information to both professional and non-specialist audiences.

As a member of the School of Management you will join an intellectually stimulating, friendly and supportive research environment and, through working closely with our expert and experienced academic staff, you will be in a position to realise your full potential.

  • Strong career prospects in a digital economy where the capacity to innovate and adapt is integral to employability.
  • New and exciting opportunity to study cutting-edge topics such as Big Data, business intelligence, digital innovation, and social media. Coupled with exposure to highly sought-after skills in financial data analysis, data visualisation, and web analytics.
  • Develop an effective network through external contacts with leading academics and senior corporate managers through seminars and guest lectures and work on real business projects through corporate guest sponsorship.
  • Latest thinking and exciting intellectual challenges provided by academics who are at the frontiers of their subjects.

Course structure

Core modules

  • Business Intelligence and Data Analytics
  • Consultancy in the Digital Era
  • Digital Business and Innovation
  • Critical Issues in Digital Society
  • Leading Online Collaborations
  • Social Media and Web Analytics
  • Dissertation Preparation and Research Methods
  • Dissertation

Teaching & assessment

Assessment is carried out by a variety of methods including coursework, examinations and a dissertation.

This programme is delivered in block teaching mode.

Your future career

On graduating with a Masters degree in Digital Innovation and Analytics from Royal Holloway you will possess sought-after knowledge and skills for digital innovation and business consultancy. You will be highly employable and be equipped to work as a business analyst, consultant, or innovation manager in a variety of industries. 

We will help you to recognise and indetify your strengths, skills and abilities so that you can make strong applications for your chosen career, or for further study.



Read less
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. Read more

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:

  • Design mobile-friendly marketing programs focused on user experience
  • Implement digital storytelling and content marketing strategies that connect consumers with brands
  • Use web and social media analytic tools to evaluate online interactions to generate consumer leads
  • Incorporate best practices for digital campaign testing and measurement

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.

Program Details

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.

Learning Outcomes

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

  • Develop targeted, customer-centric digital marketing campaigns across a range of digital interfaces
  • Design marketing programs that account for the unique user experience needs of mobile consumers
  • Implement digital storytelling and content marketing strategies that connect consumers with brands across all major social media platforms
  • Use their knowledge of digital consumer behaviors and trends to design marketing programs that motivate consumers to engage and remain loyal to a brand

Data Analytics

  • Develop consumer personas and segments that provide the framework to deploy targeted and personalized marketing treatments
  • Build predictive models that forecast individual consumer behaviors and enable proactive marketing communications
  • Use web and social media analytic tools to evaluate online interactions and identify new opportunities to generate consumer leads and build even stronger customer relationships
  • Incorporate best practice digital campaign testing and measurement approaches that accurately assess the ROI of marketing investments

Emerson Advantage

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.



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.



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.



Read less
The MSc covers web-related technologies and big data analytics. It is intended for students with a general science and engineering background and is an ideal preparation for roles with some of the best internet-related industries and areas requiring big data analytical skills. Read more

The MSc covers web-related technologies and big data analytics. It is intended for students with a general science and engineering background and is an ideal preparation for roles with some of the best internet-related industries and areas requiring big data analytical skills.

About this degree

Students will gain a detailed knowledge and understanding of web-related technologies and big data analytics, ranging from information search and retrieval, natural language processing, data mining and knowledge acquisition, large-scale distributed data analytics and cloud computing to e-commerce and their business economic models and the latest concepts of social networks.

MSc students undertake modules to the value of 180 credits.

The programme consists of three core modules (45 credits), five optional modules (75 credits), and the research dissertation (60 credits).

Core modules

  • Complex Networks and Web (15 credits)
  • Information Retrieval and Data Mining (15 credits)
  • Web Economics (15 credits)

Optional modules

Students must choose a minimum of 45 and a maximum of 75 credits of optional modules. Up to two electives (30 credits) may also be chosen instead of two of the optional modules.

  • Affective Computing and Human-Robot Interaction (15 credits)
  • Applied Machine Learning (15 credits)
  • Birkbeck College: Cloud Computing (15 credits)
  • Computer Graphics (15 credits)
  • Entrepreneurship: Theory and Practice (15 credits)
  • Graphical Models (15 credits)
  • Interaction Design (15 credits)
  • Machine Vision (15 credits)
  • Probabilistic and Unsupervised Learning (15 credits)
  • Statistical Natural Language Processing (15 credits)
  • Supervised Learning (15 credits)

Please note: the availability and delivery of optional modules may vary, depending on your selection.

A list of acceptable elective modules is available on the Departmental page.

Dissertation/report

All students undertake an independent research project which culminates in a substantial dissertation.

Teaching and learning

The programme is delivered through a combination of lectures, tutorials and seminars. Lectures are often supported by laboratory work with help from demonstrators. Student performance is assessed by unseen written examinations, coursework and the dissertation.

Careers

Graduates from UCL are keenly sought after by the world's leading organisations, and many progress in their careers to secure senior and influential positions. Graduates of our Web Science and Big Data Analytics programmes are expected to develop careers in scientific research, the internet-based industry and other professional areas that require big data analytics skills.

Recent career destinations for this degree

  • CEO (Chief Executive Officer), Hoxton Analytics
  • Software Engineer, China Mobile
  • Computer Science Lecturer, Singapore Polytechnic
  • Software Developer, Barclays
  • Software Engineer, UCL

Employability

The MSc has a unique industry connection as almost all our lecturers have industry experience. Through long-term collaborations with big players in the field such as Google, Microsoft and BT, research is driven by the fundamental technical challenges faced by the industry. Throughout the degree, our students have the chance to interact with our industry collaborators and previous students, and have placement opportunities to address the specific technical problems faced by the industry.

Why study this degree at UCL?

UCL Computer Science is recognised as a world leader in teaching and research.

UCL received the highest percentage (96%) for quality of research in Computer Science and Informatics in the UK's most recent Research Excellence Framework (REF2014).

Our Master's programmes have some of the highest employment rates and starting salaries, with graduates entering a wide variety of industries, from entertainment to finance.

We take an experimental approach to our subject, enjoy the challenge and opportunity of entrepreneurial partnerships and place a high value on our extensive range of industrial collaborations.



Read less
Learn how to overcome the major challenges facing industry, business and the public sector today, and influence the decision-making processes of the future. Read more

Learn how to overcome the major challenges facing industry, business and the public sector today, and influence the decision-making processes of the future.

  • Gain a solid theoretical foundation and quantitative skills, alongside practical problem-solving techniques
  • Apply your knowledge to real-life scenarios using case studies, individual and team consulting-based assignments, presentations and software tools
  • Use SAS Enterprise as part of the `Data Analytics for Business Decision Making' unit. SAS sponsor a coursework prize for this project
  • Choose from a broad range of options to meet your interests or career aspirations
  • Prepare for a career in consultancy, finance, retail, manufacturing, government analytics units, defence, IT systems, outsourcing and telecoms.

Special features

We run a core module on Data Analytics which will introduce students to SAS Enterprise. A coursework prize for this project will be sponsored by SAS.

Recent highlights included a case study run by British Airways, a presentation from SAS on the Future of Analytics and ongoing dissertation projects with Unilever and LBM.

Coursework and assessment

Assessment varies depending on course units taken. It may include a combination of course work, group project assessment and presentations, report, assignments, in-class tests and examination. The dissertation normally ranges between 12,000 and 25,000 words.

Course unit details

During the course you will be taking 180 credits in all. The eight taught modules during semester one and two total 120 credits and consists of both compulsory and optional taught units which can be viewed in the list below.  

The core courses unit introduce you to mathematical principles and practical tools for Optimization, Decision Making, Data-Mining, Statistical Analysis, Simulation and Risk Analysis. Specific software packages include SAS, SPSS, Minitab, AMOS, Eviews, Excel, Excel Solver, SIMUL8, iThink, Risk Solver, IDS.

Over the summer period, you will carry out your Research Dissertation, worth 60 credits. Examples of recent dissertation project topics include:

  • Web analytics for evaluating online user experience
  • Capacity management of product test equipment
  • Risk management in the hotel industry 
  • Equity forecasting using ARIMA and neural networks
  • Predictive modelling: A case study for selling additional contracts to existing customers in the telecommunications industry

Scholarships and bursaries

Contact us for further information on scholarships available .

Disability support

Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: 

Career opportunities

There are many potential career roles for postgraduates with an understanding of analytical approaches in business and management - including job titles such as operational research analyst, systems analyst, risk analyst, financial analyst, performance analyst, business analyst, marketing analyst, business modeller, and operations, logistics, production, project, risk, quality, performance, or general manager. Employers include general and specialist consultancies, the finance, retail and manufacturing sectors, government analytics units, defence and major 'solution providers' in IT systems, outsourcing and telecoms.

In many of these areas an MSc is generally accepted as highly desirable for developing an initial career in the field. In addition to preparing you for specialist professional work, the course is also a valuable preparation for further study and for research degrees.

More details on our Careers Service.

Latest information on visa changes and opportunities in the UK for international students.



Read less
The MRes covers web-related technologies and big data analytics. It is intended for students with a general science and engineering background and is an ideal preparation for roles with some of the best employers in internet-related industries and areas requiring big data analytical skills. Read more

The MRes covers web-related technologies and big data analytics. It is intended for students with a general science and engineering background and is an ideal preparation for roles with some of the best employers in internet-related industries and areas requiring big data analytical skills.

About this degree

Students will gain a detailed knowledge and understanding of the fundamental principles and technological components of the World Wide Web, learning not only the latest web search and information retrieval technologies and their underlying computational and statistical methods, but also studying essential large-scale data analytics to extract insights and patterns from vast amounts of unstructured data.

Students undertake modules to the value of 180 credits.

The programme consists of two core modules (30 credits), either four optional modules (60 credits) or three optional and one elective module, and the research dissertation (90 credits).

Core modules

  • Investigating Research (15 credits)
  • Researcher Professional Development (15 credits)

Optional modules

Students must choose a minimum of 45 and a maximum of 60 credits of optional modules. Students may also choose up to 15 credits from electives.

  • Affective Computing and Human-Robot Interaction (15 credits)
  • Complex Networks and Web (15 credits)
  • Computer Graphics (15 credits)
  • Graphical Models (15 credits)
  • Information Retrieval and Data Mining (15 credits)
  • Machine Vision (15 credits)
  • Probabilistic and Unsupervised Learning (15 credits)
  • Statistical Natural Language Processing (15 credits)
  • Web Economics (15 credits)

Please note: the availability and delivery of modules may vary, based on your selected options.

A list of acceptable elective modules is available on the Departmental page.

Dissertation/report

All students undertake an independent research project which culminates in a substantial dissertation.

Teaching and learning

The programme is delivered through a combination of lectures, tutorials and seminars. Lectures are often supported by laboratory work with help from demonstrators. For the research project, each student liaises with their academic or industrial supervisor to choose a study area of mutual interest. Student performance is assessed by unseen written examinations, coursework and the research dissertation.

Careers

Graduates from UCL are keenly sought after by the world's leading organisations, and many progress in their careers to secure senior and influential positions. Graduates of our Web Science and Big Data Analytics programmes are expected to develop careers in scientific research, the internet-based industry and other professional areas that require big data analytics skills.

Recent career destinations for this degree

  • Software Developer, British Film Institute (BFI)
  • Software Developer, Geneity

Employability

The MRes has a unique industry connection as almost all our lecturers have industry experience. Through long-term collaborations with big players in the field such as Google, Microsoft and BT, their research is driven by the fundamental technical challenges faced by the industry. Throughout the degree, our students have the chance to interact with our industry collaborators and previous students, and have placement opportunities to address specific technical problems faced by the industry.

Why study this degree at UCL?

UCL Computer Science is recognised as a world leader in teaching and research. UCL received the highest percentage (96%) for quality of research in Computer Science and Informatics in the UK's most recent Research Excellence Framework (REF2014).

Our Master's programmes have some of the highest employment rates and starting salaries, with graduates entering a wide variety of industries, from entertainment to finance.



Read less
The Digital Marketing and Analytics MSc provides an advanced conceptual knowledge and understanding of the value of digital marketing in contemporary organisations. Read more
The Digital Marketing and Analytics MSc provides an advanced conceptual knowledge and understanding of the value of digital marketing in contemporary organisations.

Learn up-to-date practices in key digital marketing disciplines, including online marketing strategy, web analytics, web applications, creativity and design, and digital marketing strategy and communications.

The MSc equips you with the latest tools to analyse and interpret data, forecast future trends, automate and streamline decisions, and optimise courses of action. You gain an insight into key tools and techniques such as statistical analysis, data mining, forecasting and regression, optimisation, simulation and spreadsheet modelling.

Develop the ability to apply key marketing and management theories, through the development of cognitive, critical and intellectual skills, research skills and relevant personal and interpersonal skills. On successful completion of the programme, you will have the skillset to successfully pursue a career in digital marketing and data analytics.

Read less
Centennial College's Marketing Research and Analytics program positions you at the forefront of a cutting edge job market in which organizations have oceans of data available to them but struggle to make sense of it as marketing becomes increasingly data-driven. Read more
Centennial College's Marketing Research and Analytics program positions you at the forefront of a cutting edge job market in which organizations have oceans of data available to them but struggle to make sense of it as marketing becomes increasingly data-driven. As a result, there is a large and growing demand for trained researchers who can harness the power of big data using the latest tools and analytical techniques to uncover new insights and drive businesses forward.

This Marketing Research and Analytics program combines advanced courses in marketing research and big data analytics with training on leading commercial technologies and platforms and the opportunity to gain in-demand industry certifications.

This program equips you with knowledge, skills and training in leading business intelligence and marketing research technologies and tools used in the field. Among them are SAS Enterprise Guide and SAS Enterprise Miner, Environics Analytics Envision (used to develop comprehensive profiles of selected target markets), SPSS, Tableau (the leading data visualization software), Excel, XL Miner, Dell Factiva and NVIVO (qualitative research and text analysis software).

Upon graduation, you receive an Ontario Graduate Certificate from Centennial College, plus certificates of recognition from SAS and Environics Canada. In addition, you are put on an accelerated track to earning the Certified Marketing Research Professional (CMRP) designation, the premier credential in Canadian marketing research from the Marketing Research and Intelligence Association (MRIA).

Career Opportunities

Program Highlights
-The Marketing – Research and Analytics program combines marketing research principles and skills with cutting edge "big data" analytics techniques to equip you with the training required to deliver insights and strategies to help organizations make smarter and more impactful business decisions.
-Employed is an extensive use of learner-centered approaches such as case studies, simulations and project-based learning, with a focus on developing project management, teamwork, analytical thinking, and report writing and presentation skills.
-Hands-on learning covers areas such as questionnaire design, data manipulation, quality control, statistical output and program development.
-There is a strong focus on applying marketing research and analytics to strategic marketing decision-making.
-In the second semester, you develop and implement a capstone project that will integrate and apply your learning.
-In addition to market research technologies, you also have access to the full suite of Microsoft products, including Microsoft Excel, XL Miner, Access and PowerPoint.
-Once you graduate, you have the option to take the Comprehensive Marketing Research Exam (CMRE) on campus at Centennial College, which leads to the Certified Marketing Research Professional (CMRP) designation.

Articulation Agreements
Start with a graduate certificate, and continue to a master of business administration through our degree completion partnership. Successful graduates of this Marketing – Research and Analytics program may choose to continue with courses leading to a graduate degree.

Career Outlook
-Marketing research specialist or analyst
-Research analyst
-Marketing research and intelligence coordinator
-Market intelligence specialist or analyst
-Customer insights analyst
-Consumer research manager
-Business intelligence analyst
-Market research analytics manager
-Web marketing analyst
-Customer experience analyst
-CRM analyst
-Direct response analyst
-Digital marketing analyst
-Social media analyst
-Data and analytics specialist
-Business analytics specialist
-Loyalty program analyst
-Sales analyst
-Marketing strategy analyst

Program Outcomes
-Optimize the financial results produced by interactive marketing programs through the application of marketing analytics
-Contribute to the design of a marketing analytics team project (develop charter, business case financials, technical requirements, design, test plan, test results, approval to proceed) and the management of the resulting project
-Create, manage and mine, and apply modelling and decision making functions to a database
-Utilize data auditing techniques and quality control processes that are consistent with current marketing research codes of conduct and Canadian privacy principles to ensure the integrity of the data collection, storage, analysis and presentation processes
-Compare and contrast, evaluate and select appropriate data sources to meet specific marketing objectives
-Conduct industry, competitor and customer analyses using a wide variety of secondary research sources
-Produce reliable and analyzable data through the application of sound questionnaire design principles to marketing research projects
-Design marketing research projects and interactive marketing programs that are founded in sound sampling techniques, hypothesis testing and research design
-Solve business and marketing problems by identifying, selecting and applying effective, current and relevant techniques such as descriptive and inferential analysis
-Prepare provisional output of analyses including cross-tabulations and pivot tables that address the needs of analysts and prepare final output, including research reports, presentation sides and visual representations of data that address the needs of management
-Develop actionable recommendations based on situation analyses and research findings

Areas of Employment
-Retail corporations
-Organizations with in-house analytical and research functions
-Marketing research firms

Read less
Are you passionate about the web? Would you like to help businesses reach and implement creative online solutions? Southampton Solent University’s MSc Digital Design programme teaches students a wide range of industry relevant skills including user experience design, front-end web development and digital marketing. Read more

Are you passionate about the web? Would you like to help businesses reach and implement creative online solutions? Southampton Solent University’s MSc Digital Design programme teaches students a wide range of industry relevant skills including user experience design, front-end web development and digital marketing.

As a conversion course, this master’s degree is well suited to students from diverse academic backgrounds. The course will help you to develop sought-after digital skills and prepare you for a range of careers after graduation.

Students are also able to tailor the course to their own personal career ambitions through a research project. Many use this piece of work to springboard the start of their career or a further research study.

Students are supported to gain a range of transferable skills throughout the course. These include project management, critical thinking, organisation and presentation skills. The professional issues and practise unit helps prepare students for the workplace by looking at the wider computing industry and the contexts in which digital skills can be used most effectively.

Learning is aided by a range of industry standard equipment. Facilities include high-spec computer labs, device testing labs and a usability lab with eye tracking facilities.

What does this course lead to?

The course comes to a close with students conducting their own research projects. This can be an excellent way to specialise knowledge towards desired careers, or act as a springboard for PhD study.

Who is this course for?

This conversion master’s course is ideally suited to students from a number of academic backgrounds who have a strong interest in learning web design and digital development technologies.

The course is also suited to those with extensive industry experience in the digital field, and who wish to gain an academic qualification.

What you will study

Core units and CATS points:

  • Research Methods (15)
  • Professional Issues and Practice (15)
  • Pilot Project (15)
  • Research Project (45)
  • Digital Design Fundamentals (15)
  • Digital Design Management (15)
  • Web Technologies (15)
  • Usability & UX Design (30)
  • Digital Marketing (15)
  • Computer Fundamentals (15)

Facilities

Students have access to high-spec computer labs and make use of the latest design and development programs.

Students will test applications in our new device laboratory - a special test area integrated within one of our existing software development spaces. This arrangement allows you to test your website designs and apps on real equipment, ensuring they perform as expected on the target platforms.

Your future

Graduates from this course would be well-suited for a range of digital roles. These include:

  • Project management
  • Front-end web development
  • Web and digital marketing
  • SEO
  • Web analytics
  • User experience design

Industry links

Course content is developed with input from a variety of sources including an industrial liaison panel. This ensures that your studies include the latest technologies and working practices.

You’ll also have the chance to work directly with real-world companies on live briefs, events and projects, while regular BCS meetings hosted at the University help you to build professional connections and secure valuable work experience opportunities.



Read less
The MSc Digital Marketing Management at Cardiff Metropolitan University has been designed in conjunction with the . Institute of Direct and Digital Marketing (IDM). Read more

The MSc Digital Marketing Management at Cardiff Metropolitan University has been designed in conjunction with the Institute of Direct and Digital Marketing (IDM) and the needs of the digital industry. It will equip you with a wide range of digital and social media marketing knowledge and techniques.  The aim of the degree is to develop digital marketers who can succeed at a managerial level in today's demanding digital-marketing landscape.

Digital marketing channels have revolutionised the manner in which all businesses operate and market their business activities - as such digital marketing is a pivotal 'must do' activity. Consequently, employers from all sectors are seeking out graduates with digital marketing skills in an endeavour to capitalise on current and future digital trends. This degree has professional practice at its core with content being created and delivered by both academic staff and industry practitioners.

During your time with us, you will gain critical insights into:

  • The Digital Customer and their buying behaviour and how this differs from offline customers.
  • How organisations engage and interact with their with Digital Customers
  • The latest theories, trends and techniques in the use of Search Engine Optimisation (SEO), Pay-per-Click (PPC) and Social Media Marketing.
  • The metrics and methodologies of the digital analytics businesses such as Google, AdWords and Twitter Analytics through Google's Analytics Individual Qualification (IQ) scheme.

The structure and content of the course will allow you to develop your skills through working on real campaigns in collaboration with relevant businesses. In addition to this there are additional opportunities to practise your digital skill by participating in the Institute of Direct and Digital Marketing (IDM) Student Marketing Competition. The competition will give you enable you to experience what it is like to work for an advertising agency by working on a campaign for a well-known industry brand with the three highest-scoring finalists will be invited to pitch their ideas to the client face to face.

Achieving all of this means our approach to teaching goes beyond merely presenting you with sets of theories and principles of marketing. Instead it extends to you being able to evaluate the usefulness of these theories and principles in practice through the use of case studies and 'live' projects. We believe this degree will give the skills and knowledge to excel at a managerial level by being equipped with the insights, education and critical understanding needed to operate in what is a dynamic and changing digital-marketing landscape.

Our MSc Digital Marketing degree is in the process of being awarded IDM accredited status - which will enable our students the opportunity to gain exemptions form the IDM Certificate in Digital Marketing.  

*This programme is subject to validation for September 2018 entry and the information provided may be subject to change. All new programmes at the University must undergo validation, the purpose of which is to ensure that the proposed programme i​s aligned to the University's Mission and its content reflects appropriate levels of academic standards and quality.​

Course Content

The programme is comprised of three distinct stages, Postgraduate Certificate (PGCert) Digital Marketing, Postgraduate Diploma (PGDIP) Digital Marketing, and MSc Digital Marketing Management, with a range of compulsory taught modules (120 credits), and a non-taught element (60 credits). The MSc will be awarded on successful completion of 180 credits.

Term 1 (Certificate = Completing 60 credits):

  • Multi-channel Digital Marketing (20 credits)
  • Strategic Global Marketing in a Digital Context (20)
  • Modern Digital Marketing Research (20 credits)

Term 2: (Diploma = Completion of stage 1 and an additional 60 credits):

  • Understanding the Behavioural Elements of Marketing: Knowing Your Digital Consumer (20 credits)
  • Digital Analytics & Insights - Web, Mobile and Marketing (20 credits)
  • Academic Research for Business (20 credits)

Term 3: Masters = Completion of stages 1 & 2 and:

  • Dissertation (60 credits)
  • Digital Marketing Plan (60 credits)

Learning & Teaching

The course is delivered with a mixture of lectures and seminars. Many of the assessments will be based on real world cases and therefore specialist guest speakers and visits to businesses will also form part of the learning journey. At Master's level, self-management and independent research and study is expected with students being directed and encouraged to deepen their understanding of particular areas of Marketing. Moodle is used as an interactive VLE but the development of a learning community is particularly prevalent at Cardiff Metropolitan with excellent student support.

Assessment

Assessment on the programme is mixed and will include a variety of formats . You are assessed throughout the course on the basis of coursework, presentations and examinations. Assessments take the form of examinations (seen/unseen, open book, essays/short answers), essays, practical assessment, presentations, individual and group reports, and a dissertation, many of which are focused on real-life cases studies. 

Employability & Careers

The MSc Digital Marketing Management degree has been designed for people wanting a successful and rewarding marketing career in today's digital economy. Expected career paths include:

  • Digital Marketing
  • Mobile Marketing
  • SEO Account Management
  • Web Analytics
  • Search and Social Media
  • Web Content Management
  • Digital Creative Development
  • Marketing Communications
  • Marketing

Additionally the course is excellent preparation for continuing your study at MPhil or PhD at Cardiff Metropolitan University.



Read less
Programme starts in September 2018. Modern businesses and organizations are increasingly involved in collecting and processing vast amounts of customer and operations data. Read more

Programme starts in September 2018

Modern businesses and organizations are increasingly involved in collecting and processing vast amounts of customer and operations data. The resulting (big) data are more and more seen as an important resource for businesses.

In the Data Science and Marketing Analytics programme, students focus on the tools and skills that are needed to analyze such (big) data in modern businesses and turn it into meaningful insights. In particular, Data Science and Marketing Analytics combines theory and practice from computer science, marketing, economics, and statistics, in such a way that the potential of big data can be exploited successfully to create greater value for the consumers and firms.

Careers

Data science has been dubbed the sexiest career of the 21st century, according to Harvard Business Review. Given the growing awareness of the possibilities of exploiting data science for marketing analytics in business, the data science skills acquired during the Data Science and Marketing Analytics programme are expected to provide graduates with excellent job prospects.

According to Trevor Hastie, the John A. Overdeck Professor of Statistics at Stanford University, it is all quite obvious: “Big data is everywhere - it drives web search, web advertising and quantitative finance, to name a few industries. Data Science plays a fundamental role in this new Economy. With its strong history in data modeling, Erasmus School of Economics is well poised to train a new generation of data scientists.

Data Science and Marketing Analytics graduates are therefore expected to have many job opportunities in various sectors of the economy such as (online) retailing, financial services, consulting, and health care. For example, many businesses and organizations are either setting up or expanding business analytics/customer analytics/marketing analytics units. The combination of marketing and economic knowledge with data science skills will be of great value to our graduates and the companies that hire them.  

Download the brochure here.



Read less
With the rapid development of smart sensors, smartphones and social media, "big" data is ubiquitous. Read more

With the rapid development of smart sensors, smartphones and social media, "big" data is ubiquitous. This new MSc teaches the foundations of GIScience, database, spatial analysis, data mining and analytics to equip professionals with the tools and techniques to analyse, represent and model large and complex spatio-temporal datasets.

About this degree

Students will be equipped with computational foundations and skills needed for big data analytics including visualisation, prediction, clustering and simulation with statistical and machine learning approaches, as well as retrieving and mining big (open) data, web services and cloud computing, web and mobile applications, by practising with real case data and open software.

Students undertake modules to the value of 180 credits.

The programme consists of four core modules (60 credits), four optional modules (60 credits) and a dissertation/report (60 credits).

A Postgraduate Diploma, four core modules (60 credits), two optional modules (60 credits), full-time nine months is offered.

Core modules

  • GIS Principles and Technology
  • Principles of Spatial Analysis
  • Spatial Databases and Data Management
  • Spatio-temporal Analysis and Data Mining

Choose four options from the following:

  • Introductory Programming
  • Complex Networks and Web
  • Group Mini project: digital Visualisation (requires basic Java)
  • Mapping Science
  • Supervised Learning (requires Applied Machine Learning)
  • Web Mobile GIS
  • Information Retrieval & Data Mining (requires Introductory Programming)
  • Applied Machine Learning (requires Introductory Programming)

Dissertation/report

All students undertake an independent research project which culminates in a dissertation of 15,000 words.

Teaching and learning

The programme is delivered through a combination of lectures, seminars, and laboratory practicals. Assessment is through examination, coursework, practicals, dissertation, and poster presentation.

Further information on modules and degree structure is available on the department website: Spatio-temporal Analytics and Big Data Mining MSc

Funding

For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.

Careers

Graduates from this programme are expected to find positions in consultancy, local government, public industry, and the information supply industry, as well as in continued research. Possible career paths could include: data scientist in the social media, finance, health, telecoms, retail or construction and planning industries; developer of spatial tools and specialised spatial software; researcher or entrepreneur.

Employability

Graduates will be equipped with essential principles and technical skills in managing, modelling, spatial and spatial-temporal analysis, visualising and simulating "big" spatio-temporal data, with emphasis on real development skills including: Java, JavaScript, Python and R. Business Intelligence (BI) skills will also be taught via practical case studies and close collaborations with leading industrial companies and institutions. All these skills are highly valued in big data analysis.

Why study this degree at UCL?

As one of the world’s top universities, UCL excels across the physical and engineering sciences, social sciences and humanities.

Spanning two UCL faculties, this interdisciplinary programme exploits the complementary research interests and teaching programmes of three departments (Civil, Environmental & Geomatic Engineering, Computer Science, and Geography).

Students on the Spatio-Temporal Analytics and Big Data Mining programme will be part of a vibrant, enthusiastic, and international research environment in which collaboration and free-ranging debate are strongly encouraged. This is supported by weekly research seminars and industrial seminars from top employers in the field.



Read less

Show 10 15 30 per page



Cookie Policy    X