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Applied Data Science MSc

Applied Data Science MSc

School of Engineering

Level

Post- graduate

Mode

Taught

Campus

Preston

Contact UCLan

Course Enquiries
University of Central Lancashire
Preston, PR1 2HE, UK.

Tel: +44 (0)1772 892400
Email: cenquiries@uclan.ac.uk

  • Duration:

    Full-time: One year; Part-time: Two years

  • Level:

    Postgraduate

  • Mode:

    Taught

  • Delivery:

    Campus, Full-time and Part-time

  • Campus:

    Preston

  • Start Date:

    September

  • Award Type:

    MSc

Why study this programme?

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 rapidly growing number of exploitations in a wide spectrum of applications.

This course has been carefully planned and is designed to develop your knowledge and skills in modern data science practice. It combines a project-based approach with opportunity for personal development through a flexible and supportive learning experience.

Course content

Four key strands:

  • Data Science
  • Artificial Intelligence
  • Internet of Things
  • Robotics

The underpinning practical and theoretical skills, such as programming, project management, statistics, develop along with timetabled teaching sessions and individual/group projects.

Entry Requirements

2.2 or above in science, technology, engineering and math subjects, or equivalent industrial experience (interviews might be required)

Programme at a Glance

Semester 1 only

  • Research methods
     
Semester 2 only
 
  • Applied Instrumentation

Semester 1 and 2

  • Artificial Intelligence and Machine learning
  • Internet of Things
  • Big Data Analytics and Visualization
  • Programming with Data
  • Object-Oriented Software Development
  • Digital Signal and Image Processing B
  • Visual Information Processing
  • Advanced Robotics and Intelligent System Design

Semester 1/2/3
 
  • MSc Project

Postgraduate Advice Event

Find out more about Postgraduate courses at our Postgraduate Advice Event on 23 June 2019

Further Information

LEARNING ENVIRONMENT AND ASSESSMENT

You will benefit from a dedicated data science lab for teaching purposes in the new Engineering Innovation Centre (EIC) building. Equipment includes modern graphics processing unit (GPU) cards for running simulations of data science projects.

The course team has domain experts with expertise in data science and related applications such as medical imaging, signal analysis for non-invasive inspection, computer aided diagnosis.

How to Apply

You can apply for many of the postgraduate UCLan courses using our Online Application System.

For other postgraduate courses you can apply directly to UCLan by downloading a Postgraduate Application Form (.pdf 190KB) please also see our Postgraduate Application Guidance Notes (.pdf 158KB).

Handbook

For detailed information about studying this course at UCLan, please see the course handbook for your year of entry:

For information on possible changes to course information, see our Important Information.

Applications

Apply now or see further information about postgraduate study and research. International students should visit our international pages.

Contact Us

Tel: +44 (0)1772 892400

Email: cenquiries@uclan.ac.uk

Fees 2019/20

Full-time: £6,700 per year (UK/EU)
Part-time: £3,345 per year for first 2 years (UK/EU)

Tuition Fees are per year unless otherwise stated.

Further information:

For 2018/19 fees please refer to our fees page.

Industry Links

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.

As a student you can benefit from working with the modern manufacturing facilities including for example Kuka robots and working on real-life manufacturing projects through the industrial links. Furthermore, through the collaborative links with the health sector, interested students could contribute to the ongoing biomedical data analytics projects.

Opportunities

  • You will participate in a School Expo to present your project to an external audience, including industry representatives. This includes a three-minute competition for your project.
  • As a graduate, you will be equipped with skills in working on modern data science projects as an individual as well as in a team.
  • Upon graduation you may apply for a PhD.