MSc

Applied Data Science

Duration
1 Year
Start
September 2024
Delivery
In Person

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.

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.
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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.

Modules

Course delivery

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

100%Face-to-face

Please note the delivery information for this course is accurate for the academic year 2023/24. The information displayed in this section may not yet accurately reflect how the course will be delivered in 2024/25 but this information will be updated by December 2023.

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.

How to apply
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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.
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Academic expertise

Ahmed Onsy academic photo
Professor Ahmed Onsy
Professor of Mechatronics and Intelligent Systems Engineering
School of Engineering and Computing

Ahmed has been awarded his PhD from the School of Mechanical and Systems Engineering, Design Unit and Mechatronics Group, Newcastle University, UK. His main research interests are intelligent diagnostics and health management systems, intelligent maintenance systems, advanced mec…

Yu Khou
Dr Yu Zhou
Senior Lecturer
School of Engineering and Computing

Yu teaches a number of subjects for our electronics and robotics team. With track record in intelligent systems, Yu worked on projects together with NHS and other academic institutions. Yu is a Fellow of the Higher Education Academy (Advance HE). Yu also supervises postgraduate …

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.

Explore the EIC

Fees and funding

2024/25
UK
Full-time£9,000 per year
Part-time£1,000 per 20 credits
International
Full-time£16,900 per year

Scholarships and bursaries

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

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

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This course is based in the School of Engineering and Computing

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