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Applied Data Analytics at University of the Highlands and Islands (UHI) - UCAS

Course summary

What is special about this course? Are you interested in making an impactful and effective contribution to business through data science? If so, this new MSc Applied Data Analytics will allow you to develop your skills and knowledge in data analytics techniques and evaluate their relevance and validity. You will learn key data science skills using freely available software. Core subjects will cover fundamental theories, ethical considerations and industry-standard techniques, while optional modules will allow you to focus on specific applications. The range of options include business, computational, and environmental themes. As part of the environmental options, you will gain experience with GIS software and spatial analysis, while in the business-themed options the focus is on business decisions and company culture – can you help it move toward data-driven decision-making? The computational theme has an emphasis on data engineering and machine learning. This part-time course is delivered online, allowing you the flexibility to fit your studies around your personal and professional commitments and tailor your option choices to suit your specific areas of interest. This course may also be of interest to companies wishing to use it as continuing professional development for their employees. This course may also be of interest to companies wishing to use it as continuing professional development for their employees. Further information on the course, including more detail about the individual modules, can be found on our website at: https://induction.uhi.ac.uk/STE/msc-ads-student-handbook/index.html Special features ◾Flexible optional themes (business, computational and environmental) ◾Learn to apply a wide range of data analytics techniques and evaluate their relevance and validity ◾Make an immediate and effective contribution to an organisation through data science ◾Study current ethical issues in data science and their application to an organisation How long will my course last? ◾Part-time: 2-3 years @ approximately 15-20 hours per week ◾Part-time (modular): 14 weeks per module @ approx 14 hours a week Number of hours per week indicates the total number of hours you should dedicate to the course, which includes time spent in lectures and your own time spent on individual study and research.


How to apply

International applicants

This course is not currently available for Student Route visa sponsorship. International students (including EU/EEA and Swiss nationals without settled status in the UK) can study the course from their home country. For students living in the UK and assessed as international for fee status, please refer to our website fees page for further information.

Entry requirements

◾2:2 honours degree or above in a numerate subject, or in any other subject with relevant work experience ◾Applicants with an ordinary degree or equivalent qualification plus relevant work experience, at a suitable level and for an appropriate length of time, will be considered on an individual basis ◾Qualifications from an approved professional body will also be taken into account ◾Funding opportunities are currently available - please see our fees tab for further information


Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

For detailed fees information, please visit the course page on our website.
Applied Data Analytics at University of the Highlands and Islands (UHI) - UCAS