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Full time
1 year
SEP-25
MSc - Master of Science
Internet Systems
Immerse yourself in the emerging field of engineering, computing and statistics on our MSc in Machine Learning and Internet of Things programme.
On this course you'll combine a project-based approach with flexible learning. The course tackles four key strands of learning:
Data science
Machine learning
Internet of Things
Robotics
This course is designed to develop your knowledge and skills in modern machine learning 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 signal processing, computer vision, sensors and instruments.
Learn from an expert team. Your tutors have research interests and experience in the field of data science and its applications.
Participate in a School Expo, presenting your project to an external audience including industry representatives.
Future careers
As a graduate, you will be equipped with skills in working on modern machine learning and IoT projects in both an individual and a team capacity. Upon graduation you may apply for a PhD.
Studying Machine Learning and Internet of Things could lead to the following careers:
Machine learning engineer
Machine learning scientist
Data translator
Read less
Data privacy expert
AI ethics officer
Data Engineer
System engineers
Data analyst
Data scientist.
Sandwich option:
Our sandwich degrees offer the perfect blend of academic study and practical work experience, allowing you to build confidence in the workplace and graduate work-ready from your degree programme.
Our previous graduates have found their sandwich year particularly beneficial as it has allowed them to gain practical, hands-on experience within their chosen career and the opportunity to learn directly from professionals based out in industry. It is not uncommon for sandwich year programmes to also open up future work opportunities in similar fields or professions for our graduates.
The module introduces artificial intelligence concepts essential for understanding modern intelligent systems. You'll gain skills necessary to design, integrate, and use artificial intelligence systems and will also develop independent research skills.
This module aims to introduce you to the hardware and software systems required to implement an ‘Internet of Things’ Data mode and Cloud connection and explore the social and technological impacts of the widespread use of IoT.
This module will give you the opportunity in programming skills for other modules using Python and R. You will also develop the skills in analysing by using R, and develop data manipulation and analytic skills in using R
This module aims to enable you to gain experience and develop an understanding of the fundamental topics in the fields of Big Data Analytics and Data Visualisation.
In this module, you will develop the individual skills necessary to conduct a technical project at an advanced level effectively. You will explore project planning, presentation, research methodology and health and safety awareness.
The aim of this module is for you to undertake an advanced-level piece of work including some significant elements of research and originality. You'll specify, plan, execute and report a programme of work leading to the design of a system, service or product, incorporating aa range of aspects involving the study of current research or advanced developments.
This module will introduce you to advanced concepts of visual data representation and processing. Essential for development and evaluation of modern vision-based artificial intelligence systems. You'll learn the theoretical, analytical and practical skills to enable you to design, build and use complex computer vision systems for image/video understanding. You'll develop your investigative skills, which will enable you to study, comprehend, and use future developments in computational visual information processing.
Our module aims to develop your understanding and experience of advanced Digital Signal and Image Processing techniques including signal and image analysis, compression, enhancement and segmentation, and practical implementation considerations.
For this course (per year)
£9,450
For this course (per year)
£17,900
The University of Central Lancashire is an international, multi-campus university leading the way in modern postgraduate learning today. The university’s main campus is located in Preston, Lancashire – a small yet thriving city which was recently named the best city in the north west of England to live and work (Demos-PwC Good Growth for Cities Index, 2024). The university has a student and staff community of around 42,000 people from more...more
Full time | 1 year | SEP-25