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MSc Applied Data Analytics

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  • Delivery:
    Full time according to Funding Council definitions, Part-Time, Sandwich (Thick) out of college.

The course will develop data and business analytics professionals who can help their employers climb the pyramid of analytical literacy. Graduates will have the skills to gain competitive advantage based on analytical insight into business, scientific and other types of data.

Specialists with relevant expertise and knowledge of advanced tools and technologies, as well as the ability to understand and implement state-of-the-art solutions are needed in order to address practical problems that businesses and organisations are already facing and will face in the future. To address the shortage of qualified professionals in the areas of data analytics and data science, this course was designed in partnership with the SAS Institute. Teaching methods include hands-on content from experts in their respective areas. 

The course provides an excellent opportunity to enter the dynamically expanding area of predictive analytics and data science and is ideal for anyone with a first degree in maths, physics or other discipline with a sound grounding in statistics.

“The course gave me structured knowledge which helped me to understand the industrial applications and secure a career in this field.”
Arvind Shah, graduate

Interested in studying this course part-time? Enquire now.

Key information

Next start date:

September 2018, January 2019

Location:

Bournemouth University, Talbot Campus

Duration:

September: 1 year full-time, 2 years with optional 40-week work placement or 2 years part-time. January: 16 months full-time, 2 years with optional 40-week work placement or 2 years part-time.

Required subjects:

Computing, technology, maths, physics, engineering or IT

Entry requirements:

A Bachelors Honours degree with 2:2 or equivalent in a required subject. If English is not your first language you'll need IELTS (Academic) 6.0 with a minimum of 5.5 in each component of writing, speaking, listening and reading or equivalent. For more information see our full entry requirements.

Course details

Placements

An exciting and valuable part of this course is the option to do a placement, which provides an excellent opportunity for you to gain first-hand industry experience and apply the learning that you have acquired through the course, especially if you are considering a change in career or direction.

You will begin your placement after your study and you must complete a minimum of 40 weeks, and we have a dedicated support team to help you achieve a rewarding and satisfying experience.

Find out more about placements for postgraduate students

Entry requirements

Careers

The Applied Data Analytics course has been designed to address the shortage of highly qualified professionals in the intelligent computer systems industry, who are needed to harness the recent big data wave.

You will graduate this programme as a highly qualified professional, with relevant expertise and knowledge of advanced tools and technologies and the ability to understand and implement state-of-the-art solutions needed in order to address practical problems that businesses and organisations are already facing and will face in the future.

This means that as a graduate of the course, you will be a highly desirable employee and enjoy a wide variety of career opportunities in a variety of industries.

Costs and fees

You can find full information about the deposits required and how to pay your fees in our postgraduate fees and funding section, including details of the new Postgraduate Loans Scheme, offering up to £10,000 of support (subject to fee status).

All fees are quoted in pounds sterling and are per annum. Fees quoted are for tuition only unless stated otherwise. Your tuition fees will be the same for each year of your course.

Find out more about living expenses for postgraduate students

Our staff

Read more about the expertise of other members of the Department of Computing & Informatics, and register now to come along and meet some of them.

Course changes