Applied Data Analytics MSc

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

Months of entry

January, September

Course content

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.

The part-time course is delivered online, allowing you the flexibility to fit your studies around your personal and professional commitments. The full-time course is delivered on campus at UHI Inverness. Whether you prefer to study part-time or full-time, you can 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.

Further information on the course, including more detail about the individual modules, can be found in the student handbooks, which are frequently updated.

Please see the course handbook for more information.

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

Information for international students

https://www.uhi.ac.uk/en/studying-at-uhi/international/

Fees and funding

There may be scholarships and bursaries available to fund your studies. For further information, please view our Fees/Funding tab: MSc Applied Data Analytics (uhi.ac.uk)

Funding

Eligible Scotland-domiciled students studying full-time can access loans up to £11,500 from the Student Awards Agency for Scotland (SAAS). This comprises a tuition fee loan up to £7,000 and a non-income assessed living cost loan of £4,500.

Eligible Scotland-domiciled students studying part-time can apply for a tuition fee loan from SAAS. You must be intending to complete the course in no longer than twice the length of time it would take for a full-time student. For example, if your course is available to full-time students as a one-year programme, you will be funded for a maximum of two years' part-time study. If your course does not have a full-time option, you must complete within three years. You can apply for a tuition fee loan up to £7,000, which will be paid pro-rata for each academic year of study.

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.

Data Lab funded spaces

We have been awarded some funded spaces through the Data Lab MSc programme, including funding by the Scottish Funding Council. These scholarships are available for students who have received an unconditional offer for the MSc and meet the Scottish Government’s Residency conditions. Please refer to SAAS.gov.uk guidance for clarification. EU students with settled or pre-settled status may be eligible.

If you are interested in a funded place, or have any questions, please contact: data.science.ic@uhi.ac.uk. For any further information please visit The Data Lab.

There are also scholarships that may be available to individual students through the Digital Health & Care Innovation Centre. For more information, please visit their website or contact the team on data.science.ic@uhi.ac.uk

If you are an international applicant, you can find further information at our international section.