Course summary
Advance your career with our conversion Master’s degree in Applied Artificial Intelligence. Study part-time by distance learning and develop the skills you need to analyse complex data and develop AI applications to support business decision-making. Artificial intelligence (AI) promises to provide the tools to enhance technology, business models, and decision-making across a range of sectors, from industrial automation, manufacturing, transport, banking, and cybersecurity to health, human resource management, and social care. If you're planning to reorient your career towards the ever-growing and popular field of artificial intelligence, and your undergraduate degree did not prepare you for it, the MSc Applied Artificial Intelligence conversion course provides you with an excellent opportunity. As this is a conversion course, MSc Applied Artificial Intelligence is designed to accommodate candidates with no prior exposure or relevant degree in computing or AI focus. You’ll study through Canvas, our world-class online Learning Management System (LMS), which you can access from your phone, PC or tablet at home or on the move. Canvas provides instant access to study materials, forums, and support from tutors and classmates, as well as enabling easy submission of your assignments. On successful completion of your studies, you’ll be invited to attend a graduation ceremony on campus. If you can't attend the ceremony in person, we’ll arrange to have your certificate sent to you.
Modules
Core modules Analytical Techniques Programming with Python Machine Learning Techniques Postgraduate Major Project Optional modules Prompt Engineering and Generative AI (30 credits) Advanced Time Series Analysis (15 credits) Research Methods (15 credits)
Assessment method
We'll assess you in several ways including time-constrained assessments, coursework assignments, presentations and a project. Our dissertation project and module case studies assess your ability to analyse situations, identify key issues, select, synthesise and apply techniques and skills from different modules, and evaluate the appropriateness of solutions when compared to industrial practice. The dissertation artefact will be based on a real-world scenario.
Entry requirements
Applicants will normally hold a first or second class first degree in any subject. Candidates with other degrees, including foundation degrees, but with relevant work experience may also be considered. You will have normally worked for over three years in a professional environment regardless of the discipline. You will be expected to attend an interview where an assessment will be made to determine your ability to succeed at postgraduate level.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
Anglia Ruskin University
East Road
Cambridge
CB1 1PT