Machine Learning and Internet of Things

This programme focuses on applying advanced computing principles through practical project work in the University's modern computing facilities. You will develop professional skills using industry-standard software and development tools, working on real-world computing challenges. This hands-on approach is delivered through:

• Specialist Computing Laboratories: Access to UCLan's computing labs with high-specification workstations for software development, systems analysis, and project work.

• Industry-Standard Software: Practical work with programming languages including Java, Python, and C#, plus database systems like Oracle and development environments such as Visual Studio.

• Substantial Individual Project: A major final project where you apply your skills to a substantial computing challenge, developing a sophisticated software solution.

• Project-Based Learning: Collaborative group work and practical assignments that simulate professional software development environments.

Graduates of the MSc Machine Learning and Internet of Things at the University of Central Lancashire develop advanced skills in IoT systems, machine learning algorithms, and data analytics, preparing for roles such as Machine Learning Engineer, Data Scientist, IoT Systems Engineer, and AI Ethics Officer. The program combines theoretical foundations with hands-on projects in a cutting-edge engineering environment.​

• UCLan’s Careers and Employability Service provides personalized support including job clinics, networking events, and placement opportunities in engineering and technology firms.​

• Employment rates are high, with a majority securing relevant roles shortly after graduation; salaries range between £28,000 and £45,000 depending on experience and sector.​

• The course benefits from strong industry connections facilitated by the Engineering Innovation Centre and collaborative biomedical data analytics projects with health sector partners.​

• Accredited by the Institution of Engineering and Technology (IET), the MSc supports registration as a Chartered Engineer, ensuring long-term professional recognition.​

• Graduates demonstrate expertise in sensor networks, data privacy, machine learning applications, and ethical AI development, ready to innovate across sectors.​

Further Academic Progression:
Students may pursue PhD research in Machine Learning, IoT, or related fields, advanced professional certifications, or interdisciplinary research roles to enhance specialization and career opportunities.