Skip to main content
Interested? See
MSc

Applied Data Science

Duration
1 Year
Start
September 2022
Delivery
Campus Taught

Immerse yourself in the emerging interdisciplinary field of engineering, computing and statistics. Combine a project-based approach with flexible learning on our MSc in Applied Data Science. The course tackles four key strands of data science learning: data science, artificial intelligence, the Internet of Things, and robotics.

The ongoing progress in mathematical tools and automated data acquisition, combined with the growth of very large datasets and computational power, has established data science as a mature discipline with a broad spectrum of applications.

This course is designed to develop your knowledge and skills in modern data science practice. Practical and theoretical skills, such as programming, project management and statistics, are developed through a learning approach that combines taught sessions with individual and group projects.

Why study with us

  • Choose an optional module based on your own academic interests. Options are available for software engineering, robotics, sensors and instruments,
  • Learn from an expert team. Many of the course tutors have research interests and experience in the field of data science and its applications. A number of staff are also research active.
  • Participate in a School Expo, presenting your project to an external audience including industry representatives. The Expo involves a three-minute competition for your project.
Interested?
Download

What you’ll do

  • Access world-class facilities and expertise in data science and related applications, such as medical imaging, signal analysis for non-invasive inspection, and computer-aided diagnosis.
  • Located within one of the most intense engineering and manufacturing areas in the UK, our £35m Engineering Innovation Centre provides an integrated space for teaching, research and work on live, real-world projects with commercial partners.
  • If you have an interest, you could contribute to the ongoing biomedical data analytics projects brought about by our collaborative links with the health sector.

Module Overview

Course Delivery

This course is taught face-to-face at one of our UK campuses.

100%Face-to-face

Every effort has been made to ensure the accuracy of our published course information. However, our programmes are subject to ongoing review and development. Changing circumstances may cause alteration to, or the cancellation of, courses. Changes may be necessary to comply with the requirements of accrediting bodies or revisions to subject benchmarks statements. As well as to keep courses updated and contemporary, or as a result of student feedback. We reserve the right to make variations if we consider such action to be necessary or in the best interests of students.

Looking to start your postgraduate journey?

Our range of subjects and study modes can support your goals, take your next step with a postgraduate degree.

Discover more

View the course facilities

Accreditations

  • This MSc is accredited by the Institution of Engineering and Technology (IET) on behalf of the Engineering Council as meeting the requirements for Further Learning for registration as a Chartered Engineer. Candidates must hold a CEng accredited BEng/BSc (Hons) undergraduate first degree to comply with full CEng registration requirements.

Academic expertise

The University is located within one of the most intense engineering and manufacturing areas in the UK. The advanced manufacturing sector in Lancashire employs around 73,300 people, accounting for 12% of total employment.

Our School of Engineering has links with major employers in aerospace, automotive and civil engineering including BAE Systems and JLR, as well as with sector support and supply chain organisations such as the NW Aerospace Alliance and the Northern Automotive Alliance.

The course team is working closely with the ADMT (Advanced Digital Manufacturing Technology) research centre and the CVML (Computer Vision and Machine Learning) research group.

Thanks to these industrial links, you can experience modern manufacturing facilities including, for example, Kuka robots. And you can work on real-life manufacturing projects.

Future careers

As a graduate, you will be equipped with skills in working on modern data science projects in both an individual and a team capacity.

Upon graduation you may apply for a PhD.

Study in our Engineering Innovation Centre (EIC)

During your studies with us you’ll benefit from our new £35 million EIC building which provides an integrated teaching space in state-of-the-art facilities.

Find out more

Fees and Funding

2021/22
UK
Full-time£7100 per year
Part-time£785 per 20 credits
EU
Full-time£14500 per year
Part-time£785 per 20 credits
International
Full-time£14500 per year
2022/23
UK
Full-time£7800 per year
Part-time£867 per 20 credits
International
Full-time£14500 per year

Scholarships and Bursaries

We have a wide range of scholarships, bursaries and funds available to help support you whilst studying with us.

Select your country and see eligibility information and how to apply by selecting more info on the cards below.

Interested?
Download

This course is based in the School of Engineering located in the Faculty of Science and Technology

For information on possible changes to course information, see our Essential and Important Course Information

You can find regulations and policies relating to student life at The University of Central Lancashire on our Student Contract page