Master's in Data Analytics in the UK

This course combines academic theory and research with practical learning, giving you a deep understanding of digital marketing activities within organisations. When you study with us you will:

• Learn about key concepts in digital marketing, data analytics and organisational strategy
• Explore online visitor and buyer behaviour
• Learn to connect theory with practice in creative and innovative ways
• Learn to map customer journeys
• Investigate mobile and social media marketing
• Investigate the impact of digital marketing and data analytics within organisations

We have designed this course in partnership with leading digital marketing experts at Mediaworks. They will deliver some of your lectures and give you insights into the latest developments from industry.

The course is delivered entirely online, allowing you to balance your studies with work or other commitments. You will also have the opportunity to attend residential events held throughout the year.

We encourage the sharing of knowledge and experience between students and staff with a wide range of professional backgrounds. This fosters a collaborative learning community which will provide both support and varied perspectives throughout your study. Solutions to real problems are suggested, discussed and analysed within the learning community, with the support of tutors and fellow learners.

The MSc International Business with Data Analytics (MScIB-DA) is an interdisciplinary programme bringing together the fundamentals of international business with an in-depth grounding in data analytics. The curriculum will provide students with the core knowledge of all aspects international business as well as how data is used to solve real business problem. You will develop a unique set of research skills allowing them to prepare, analyse and use data providing deeper and meaningful insights focusing on key international business issues.

The MScIB-DA and is designed for future leaders, managers, consultants and entrepreneurs and their role as global citizens. Our experienced teaching team at Ulster University Magee campus will encourage and support you to develop and experience a wide range of learning, research and personal development to develop you professionally. The programme will also provide you with the opportunity to conceive, design and implement satisfactorily a substantial research project within the broad subject area of international business.

This programme is designed to train engineers to work in the analysis and interpretation of images and video. It covers both low-level image processing and high-level interpretation, using state-of-the-art machine learning methodologies.

This programme is for you if you want to kick-start your actuarial career and gain the skills to apply data analytics to solve real business problems. 

Whether you have yet to start the actuarial professional exams, or you have already passed some of the Core Principles subjects you will be able to choose a route that maximises your potential exemptions from the IFoA exams. In some cases you will be able to finish with all the exams needed to become a fully-qualified actuary as an Associate member of the IFoA (Qualification as an Associate requires two years' work experience qualifying for PPD, successfully completing the online Professional Skills Course, and successfully completing the online CB3 course and assessment.)

Data skills are vital for all professionals and Data Analytics is at the heart of this course which has been designed for maximum flexibility, allowing you potentially to gain exemptions from all the examined Core Principles subjects (CS 1&2, CM 1&2, CB 1&2) or, if you already have some passes under your belt, to add the Core Practices subjects (CP 1, 2 & 3). After the compulsory Data Science module, you are free to select modules that align with your personal goals – whether that’s to gain as many exemptions as possible, or to explore more advanced data analytics topics like Data Mining and Neural Networks. All our actuarial modules are taught with an emphasis on the ability to manipulate and analyse realistic data sets using industry standard software so you can be sure you are developing skills that are highly sought after by industry.

Our MSc in Health Data Analytics and Machine Learning is a one-year full-time course aimed at building a solid and common background in analysing health data.

Your main objective is to develop skills in using appropriate cutting edge quantitative methods to fully exploit complex and high dimensional data.

The course is delivered in collaboration with the Data Science Institute, with teaching from both the School and Institute undertaken by international experts with strong methodological background and expertise in the application of these approaches to large-scale medical and clinical data. The programme features extensive project-based learning using real data sets and addressing real scientific questions through module-specific projects work, and individual research projects.

Warwick's Data Analytics MSc is designed for technically-minded graduates of computer science, mathematics or physical sciences. Ranked 2nd in the UK (REF 2014), Warwick's Computer Science department is a research leader in data analytics and will train you in the technical skills and expertise you need.

The MSc Data Analytics is designed to create rounded data analytics problem-solvers.

The 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.

The degree is unique by bringing together essential skills from three departments across the University in order to address the needs of a fast-growing industry. It's jointly delivered by:

• Department of Management Science
• Department of Mathematics & Statistics
• Department of Computer & Information Sciences

This unique collaboration avoids the narrow interpretation of the subject offered by similar degrees and presents significant opportunities for businesses to recruit data analytics experts with a high-level expertise and knowledge.

Every year, guest speakers attend our course, sharing their invaluable experiences. As part of the Data Analytics in Practice class, we host representatives from external originations, who present case studies and challenging projects to our students.

There has never been a time where so much data has been available in conjunction with the tools to make the most of it. These tools constitute the field of data science. There has also never been a time with so many global challenges to tackle, from the shortage of resource and the impact we have on the environment to the strive to automate and optimise a variety of systems such as transport, energy, health and communication. There are almost limitless opportunities to use these tools in the various domains and applications for making real impact on industry, society and policy making.

This course is for you if you want to use your mathematical and numerical skills to embark on a career in data science and its application. During the course you will develop the necessary analytical and computational skills alongside an informed and critical appreciation of scientific and industrial developments in data.

Professionals with the ability to interrogate datasets by applying analytical techniques to describe and predict business performance are in high demand worldwide. Designed to equip you with the technical expertise needed for a career in industry, this course will prepare you for roles in analytics by developing your technical expertise and professional skills in business intelligence.

The first semester modules focus on core topic areas such as statistics, database design and programming, enabling you to gain insights into large multivariate datasets and apply your problem-solving abilities to explore business opportunities and challenges faced by data scientists when using business intelligence systems.

In the second semester you will apply your technical knowledge and further progress your analytical expertise by focusing on specific data science subject areas such as big data, data mining and business intelligence. You will also be encouraged to demonstrate your technical and analytical abilities in response to real-world problems during your final-semester individual project.

Our graduates leave with sought-after skills for business intelligence and data mining roles within any field of data science. Opportunities also exist for further academic study towards a doctorate degree and a career in research.

This course is designed for students with a numerate background (for example a first degree in mathematics, economics, engineering, physics or chemistry) as well as graduates already working in industry. 

The course focuses on managing vast amounts of information and transforming it into actionable knowledge. It teaches the key skills that are required to carry out practical analysis of the types of data sets that need to be interpreted in the modern world. These include large data sets as well as structured and unstructured data. The course makes use of techniques developed within a range of disciplines, including computer science, artificial intelligence, mathematics and statistics.

Do you want to work in the financial firms of the future where big data is king?

The MSc Finance and Big Data Analytics course at Swansea University is designed to pair the key areas of finance and business analytics. This programme takes a data driven approach to analysis of financial markets and organisational information. The degree covers the key principles of finance, financial modelling and financial markets to prepare you for a dynamic career in finance, banking and a range of other sectors.

You don’t need a background in accounting, finance or business to study this one year conversion course. It’s designed to enhance your undergraduate study and accelerate you into your chosen profession anywhere in the world.

The programme is accredited by the Association of Chartered Certified Accountants (ACCA) and includes exemption from up to three ACCA Fundamental exams. This is based on your prior learning and prevents you having to study the same topics you’ve already been taught.

The School of Management also has strong links with the Chartered Financial Analyst (CFA) Institute, the Chartered Banker Institute, the Chartered Institute of Management Accountants (CIMA), the Chartered Institute for Securities and Investment, and the Institute of Chartered Accountants in England and Wales (ICAEW). This close affiliation with professional bodies will enhance your career prospects and give you the edge to thrive in today’s competitive world.

If you love finding trends, patterns and valuable information hidden inside complicated data sets, our MSc Data Analytics degree course will help you develop the skills and knowledge you need to succeed.

On this course, you'll develop your technological and technical abilities, and take your previous studies and experience to postgraduate level. You'll master data mining tools, unlock specialist knowledge, and apply both to analyse real data from our research in cosmology, health informatics and cybersecurity.

You'll plan and produce an in-depth research project too, and we'll provide the expertise and support so you can develop your professional practice. And once you graduate, you'll have a skillset that'll get you noticed – and all the tools you need for a career in data analytics or deep learning.

• Gain the technical expertise and industrial experience you need to progress your career or launch an enterprise in big data analytics
• Develop high-level skills in business intelligence, data analytics and database technology
• Harness the full power of SAS software, thanks to our partnership with the global leader in business analytics services
• Address real-world industry-based problems and conduct a major research project on a theme of your choice
  • Build broader skills in communication, teamwork and management to enhance your career prospects

As part of the focus on data analytics, you will cover topics such as how to design and manipulate databases with relational algebra and SQL. You will also analyse (big) data in order to improve organisational decision-making, using techniques such as regression analysis, clustering, distance measures, probability and distributions.

Accredited by the Chartered Institute of Library and Information Professionals (CILIP) to assure students that programmes provide an excellent preparation for professional practice. This accreditation makes our courses stand out and enhances their credibility and currency among employers, and is also crucial for progressing to Chartership status once qualified.