Applied Data Science (MSc)

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.

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
Year 1

Compulsory modules
These modules are set and you have to study these as part of your course.

• Compulsory modules accordion items
• Artificial Intelligence and Machine Learning
• Programming with Data
• Big Data Analytics and Visualization
• Research Methods
• MSc Project (Engineering)

Optional modules

Depending on how many compulsory modules you take, you may be able to choose optional modules to make up your course.

• Optional modules accordion items
• Internet of Things
• Visual Information Processing
• Work Placement (Engineering)
• Digital Signal and Image Processing B

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.

Studying Applied Data Science could lead to the following careers:

• Data analyst
• Data scientist
• Data engineer
• AI ethics officer
• Data translator
• Data privacy expert
• Machine learning engineer
• Machine learning scientist