Big data is the description used to encompass the huge amounts of data that is common to many businesses. It has been described as the next frontier for innovation, competition and productivity in business. It is essential for companies to embrace so that they can understand their customers better, develop new products and cut operational costs.
This course has been developed to create graduates who can become data scientists capable of working with the massive amounts of data now common to many businesses. It is aimed at people who want to move into this rapidly expanding and exciting area.
The modules on this course help you develop the core skills and expertise needed by the data scientist. The course can be split into three main areas, statistics, computing and management.
In the statistics section you study modules on data mining and data modelling. These modules cover the three main data areas, which are ensuring that data is reliable and of a high quality, searching the data to discover new information and presenting interpretations of that data to the end user.
The computing section covers areas related to data integration, massive datasets stored in the cloud, how data is stored and utilised within the distributed systems of an enterprise and how organisations can utilise data to change and improve business processes.
The management modules are focused on developing your core skills around professionalism and research. All of which are valuable skills during your university studies and in your career.
Our partnerships with business inform the course design, ensuring the content is relevant, up to date and meets the needs of industry. These partnerships also enable the inclusion of some leading edge software such as SAS, SAP Hana, and Hadroop within the course. You may be able to study abroad as part of the Erasmus programme.
Key areas of study
Key areas of study include • data quality and analysis • technologies to store and mine data • professionalism and research
This course includes the SAP Business Intelligence with SAP BW 7.3 and SAP BI 4.0 e-academy (UB130e). You also have the opportunity to sit the SAP certification exam and the SAS 9 base certification exam.
Full time – September start – typically 12 or 18 months
Part time – September start – typically 36 months
Choose one from :
Many jobs for data scientists, data analysts and data mining analysts are available with salaries ranging from £35,000 to £80,000.
Jobs typically list the skills to be in areas such as statistical analysis and machine learning techniques, database and programming technologies, and expertise in statistical theory, which are all areas you cover on this course.
You also gain skills and knowledge in HaDoop, MapReduce, Java, SAS, MSQL which are some of the common technologies used in data scientist roles.
Demand is growing for high value data specialists across the sciences, medicine, arts and humanities. The aim of this unique, modular, online distance learning programme is to enhance existing career paths with an additional dimension in data science.
The programme is designed to fully equip tomorrow’s data professionals, offering different entry points into the world of data science – across the sciences, medicine, arts and humanities.
Students will develop a strong knowledge foundation of specific disciplines as well as direction in technology, concentrating on the practical application of data research in the real world.
You can study to an MSc, Postgraduate Diploma, Postgraduate Certificate or Postgraduate Professional Development level.
Our online learning technology is fully interactive, award-winning and enables you to communicate with our highly qualified teaching staff from the comfort of your own home or workplace.
Our online students not only have access to the University of Edinburgh’s excellent resources, but also become part of a supportive online community, bringing together students and tutors from around the world.
You can study to an MSc, MSc with Medical Informatics specialism, Postgraduate Diploma, Postgraduate Certificate or Postgraduate Professional Development level.
Find out more about the compulsory and optional courses in this degree programme. We publish the latest available information for this programme. Please note that this may be for a previous academic year.
These credits will be recognised in their own right for postgraduate level credits or may be put towards gaining a higher award such as a PgCert.
The modular course structure offers broad engagement at different career stages. Individual courses provide an understanding of modern data-intensive approaches while the programme provides the knowledge base to develop a career that majors in data science in an applied domain.
This programme is intended for professionals wishing to develop an awareness of applications and implications of data intensive systems. Our aim is to enhance existing career paths with an additional dimension in data science, through new technological skills and/or better ability to engage with data in target domains of application.
The MSc Data Analytics for Business is developed with industry, this course will give you the analytical and technical skills needed to maximise the big data revolution. You will learn key management techniques and how to apply these to improve practice.
This brand new course will engage you with the latest sector thinking. You will have access to our breadth of knowledge across the School of Science and Technology, and Nottingham Business School - giving you an exciting opportunity to enhance your skills and career progression.
The majority of this course is online learning with 3-day study blocks once every 12 weeks (running Thrusday-Saturday) where you would attend on campus and meet fellow colleagues. These dates will be scheduled in advance to help you to schedule your time accordingly.
The work-based project will provide you with a three to six-month project directly related and relevant to your business or company objectives. Working with the academic university team and in consultation with your employer, you will develop a unique project based on your workplace and academic study.
Visit us on campus throughout the year, find and register for our next open event on http://www.ntu.ac.uk/pgevents.
Artificial Intelligence and Machine Learning, Big Data. New technologies and ways of working are changing the way we make decisions.
This programme will take your career to the next level and develop your ability to confidently make high impact businesses decisions that are driven by data.
The programme focuses on two key areas: analysing business data, and solving business challenges analytically. Optional modules allow you to further specialise in areas such as the economic, managerial or finance aspects of the subject.
Furthermore, you will benefit from hands-on experience of a wide range of analytics software such as simulators and mathematical tools.
The programme is studied full-time over one academic year. It consists of eight taught modules and a dissertation.
Example module listing
The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.
Business analytics students often pursue careers as consultants, researchers, managers, and analysts.
You will get hands-on experience using a wide range of tools in the course. An indicative list of the software tools is as follows:
This programme is run in cooperation with IBM.
The programme’s aim is to provide a high quality education that is both intellectually rigorous and at the forefront of management science research, relevant for problem solving and decision making by managers.
It will respond to the emergent needs of corporations and academia for professionals who are able to work with analytical tools to generate value from available Information depots and take advantage of the vast amounts of data now provided by the modern ICT and ERP systems, which underlie the operations of modern corporations.
The programme will implant understanding of the theoretical base around knowledge management and knowledge work, practical skills and experience in using analytical software tools.
It will allow future professional managers and consultants to cope with an increasingly complex and global operational environment of the modern corporation.
Completion of the programme will provide a sound foundation for those considering continuing their academic development towards a PhD degree in the management disciplines.
The programme is structured in a way that would provide students with a choice between a more quantitative intensive track of modules or a qualitative analytic (business development track) which would reflect students’ personal strengths and preferences and match future career aspirations.
The compulsory modules provide a sound foundation which builds an analytical skillset using relevant statistical and management theories, and supports the development of practical hands-on experience applying the theoretical aspects using real-world data to address corporate challenges and find solutions to actual problems.
The readings in the module will build a sound basis which would allow students to access and understand the academic literature and undertake empirical investigations in the areas of decision modelling and business development.
We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.
In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.
Surrey Business School is accredited by the Association to Advance Collegiate Schools of Business (AACSB) and by the Association of MBAs (AMBA).
Our intensive MSc Psychology (Conversion) programme is designed to provide students with a grounding in the theories and research practice of contemporary psychology.
It is accredited by the British Psychological Society (BPS) and places particular emphasis on the application of psychology to real-world problems, based on a combination of pure and applied research.
This competitive programme is aimed primarily towards people wishing to pursue a career in any field of psychology. It prepares students for their professional journey by helping them develop a broad knowledge base across the key areas of psychology in a contained period of time.
As a student, you will learn about the core areas of psychology, such as social, developmental and cognitive psychology, biological bases of psychology, and individual differences.
In addition, you will acquire statistical and research methods skills needed to conduct, under expert supervision, your independent research project on a topic of your choosing.
This programme is studied full-time over one academic year. It consists of eight taught modules and a dissertation.
Altogether, the MSc is worth 180 credits:
Example module listing
The following modules are indicative, reflecting the information available at the time of publication. All modules are core, there are no elective modules, and modules may be subject to change.
The programme provides opportunities for students to develop and demonstrate knowledge and understanding, skills, qualities and other attributes in the following areas:
Knowledge and understanding
Intellectual / cognitive skills
Professional practical skills
Key / transferable skills