Applied Data Science MSc

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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 Science 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 Inverness College UHI. 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 select the handbook relevant to your study choice 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

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 support notice*A limited number of scholarships may be available for this course, with a minimum award of £6,000 per place. See fees/funding tab for more information.






Core modules are:

  • Ethics and data science
  • Introduction to R and data visualisation
  • Statistics 1


You will study the following core module:

  • Statistics 2

You will also choose one module from the first semester list:

  • Business option - Success and culture: the importance of organisational culture
  • Computational option - Data analytics on the web
  • Environmental option - Applications of GIS

And one module from the second semester list:

  • Business option - Information decision making
  • Computational option - Data modelling on the web
  • Environmental option - Advanced GIS and remote sharing


To achieve the award of MSc Applied Data Science, you must successfully complete a research dissertation.

How will I study my course?

Coronavirus (COVID-19) update

Your course was designed to be able to be delivered fully online, we can confirm that this will be the delivery method for all students in 2020-21 in semester one. You will study through supported online learning using the university's virtual learning environment. You will also have an online induction at the start of the course and will be able to meet your fellow students, lecturers and personal academic tutor through video conferencing. Any opportunities for on-campus teaching for full-time students will be considered in line with the developing Scottish Government public health measures and guidance, including social distancing.
  • Full-time
  • Part-time (structured)
  • Part-time (unstructured)
  • You will learn through a combination of video conference lectures and tutorials, and online study via the university's virtual learning environment (VLE), with support from your tutors
  • Full-time students will also receive face-to-face teaching
  • Part-time students will conduct all studies online, although teaching staff are also available on campus to help with any queries

How long will my course last?

  • Full-time: 1 year @ 40 hours per week
  • Part-time: (structured) 3 years @ 20 hours per week
  • Part-time: (unstructured) up to 10 years

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.

Where can I study my course?

  • Inverness College UHI - part-time students will be registered at Inverness College but all studies will be online

Start date

  • September
  • January (available for January 2021 only)


Fees payable for this online postgraduate course depend on your assessed fee status:

2020-21Scottish (SC) and EU (EU)*Rest of UK (RUKO ) and EU (EUO**) International (INTO)**
Per module (20 credits) £560 £650 £980
Postgraduate certificate (3 modules, 60 credits) £1,680 £1,950 £2,940
Postgraduate diploma (6 modules, 120 credits) £3,360 £3,900 £5,880
Masters degree (6 modules + dissertation) £5,000 £5,850 £8,820
2019-20Scottish (SC) and EU (EU)*Rest of UK (RUKO ) and EU (EUO**) International (INTO)**
Per module (20 credits) £560 £650 £960
Postgraduate certificate (3 modules, 60 credits) £1,680 £1,950 £2,880
Postgraduate diploma (6 modules, 120 credits) £3,360 £3,900 £5,760
Masters degree (60 modules + dissertation) £5,000 £5,850 £8,640

*EU students with a term-time address in Scotland.

** EU or international students studying from their own country.

Fees are payable in advance each academic year unless otherwise agreed.

This course is not open to international students requiring Student Route visa sponsorship to study in the UK


Scotland domiciled part-time students undertaking any taught postgraduate course over two years up to Masters level who meet the residency eligibility can apply to the Student Awards Agency Scotland (SAAS) for a tuition fee loan up to £2,750 per year.
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.

A number of funded spaces may be available to students meeting the eligibility criteria. These are offered through The Data Lab MSc and funded by the European Social Fund and Scottish Funding Council, as part of Developing Scotland’s Workforce in the Scotland 2014-2020 European Structural and Investment Fund Programmes.

An additional funded place for the part-time MSc Applied Data Science, starting in January 2021, has become available. Please complete the application form and return to: Full details, including conditions of application, deadlines and the privacy notice are contained within the form.

For any further information please visit The Data Lab.

What can I do on completion of my course?

On successful completion of the course you will be well suited for any role with a strong emphasis on data analysis or data science. You might also like to take dual roles within a business, marrying your underlying subject knowledge with your data science skills.

Can I progress into further study?

You may progress on to any data focussed MRes or PhD project that also makes use of your underlying subject knowledge gained through experience or undergraduate qualifications.

Is there more information available online?

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Apply for Applied Data Science MSc

I want to start in Jan/Feb 2021 or Aug/Sep 2021

We are delighted that you are thinking about studying at the University of the Highlands and Islands. We operate a fair and open admissions system committed to equality of opportunity and non-discrimination. We consider all applications on merit and on the basis of ability to achieve, without discrimination on grounds of gender, age, disability, ethnicity and socio-economic background. We welcome applications from all prospective students and aim to provide appropriate and efficient services to students with disabilities.