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Are you looking for a Masters-level qualification that will open doors to jobs and promotions in the field of data analytics? This course combines core modules in information science with specialised modules in Database Modelling as well as Statistics and Business Intelligence.

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.

Modules and Learning

Our teaching is linked to what you want to learn and also to what you need to learn in order to achieve greater success in information science. Our long established relationship with employers ensures that you receive the most relevant and up-to-date knowledge to bring innovation, relevance, ethical sensitivity and currency to all you do. There is an emphasis on learning by doing; coursework will include projects, portfolios of work, reports and presentations as well as essays. All this helps you to make sense of the subject, getting a clear understanding of important concepts and theories.

While some assessments contribute to your final grade, there are other assessments that are provided purely to guide your progress and reinforce your learning. You can expect both your tutors and your peers to provide useful comments and feedback throughout the course.

Modules

Module information is indicative and is reviewed annually therefore may be subject to change. Applicants will be informed if there are any changes.

Year one

  • KC7013 - Database Modelling (Core,20 Credits)
  • KC7020 - Information Organisation and Access (Core,20 Credits)
  • KC7021 - Statistics and Business Intelligence (Core,20 Credits)
  • KC7022 - Information Systems and Technologies (Core,20 Credits)
  • KC7023 - Research Methods and Professional Practice (Core,20 Credits)
  • KC7024 - User Behaviour and Interaction Design (Core,20 Credits)
  • KC7026 - Masters Dissertation (Core,60 Credits)
  • KV7001 - Academic Language Skills for Computer and Information Sciences (Core – for International and EU students only,0 Credits)

Fees and Funding 2019/20 Entry

Full UK Fee: £6,990

Full EU Fee: £6,990

Full International Fee: £15,000

  • Click here for UK and EU Masters funding and scholarships information.
  • Click here for International Masters funding and scholarships information.
  • Click here for UK/EU Masters tuition fee information.
  • Click here for International Masters tuition fee information.
  • Click here for additional costs which may be involved while studying.
  • Click here for information on fee liability.

Your Future

Data analytics is firmly in the spotlight due to transformations in information science and the emergence of big data. As we look to the future, which will be marked by ever greater capabilities for data processing, and a rising expectation that major decisions should be based on data-driven insights, data analytics will become increasingly valued and rewarded.

On graduation, you will be well placed to take advantage of this trend. Employers are looking for information professionals who can develop new insights through mastery of their subject and critical scholarship. With your Masters qualification, you will be equipped to make a difference, advance your practice and make well-balanced judgements. You could work for a wide range of employers in the field of data analytics or you could consider freelance roles as a consultant. Your Masters qualification can also form the basis for further postgraduate studies at a higher level.


Visit the Information Science (Data Analytics) MSc page on the Northumbria University website for more details!

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