Taught course (will run subject to approval)

Data Science and Artificial Intelligence

Institution
Leeds Trinity University · Business, Management and Marketing
Qualifications
MSc

Entry requirements

  • The typical entry requirement is an honours degree (minimum 2.2) in a computing-related subject. Alternatively, we will consider applicants with equivalent professional experience in a computing related subject or non STEM degree. If needed, you will be asked to complete a pre-course assessment task where formal academic entry requirements are not met.
  • Minimum English Language entry requirements: IELTS Academic 6.0 (with no less than 5.5 in any component) or equivalent

Exceptions:

You do not need to provide evidence of your English Language if any of the following conditions apply:

Please contact us for personalised advice on 0113 283 7123 or at admissions@leedstrinity.ac.uk.

Months of entry

September

Course content

Are you interested in understanding your right to know how and where data is used in the digital era? Do you want to contribute to improving decision-making on critical and complex problems?

In today's world, we rely increasingly on technologies such as phones, computers, and IoT devices to shop, bank, travel, communicate, socialise, manage and monitor health conditions. As a result, data is being collected at an unprecedented rate, by every industry and organisation, to inform decisions that benefit their business, society, and the environment. This programme aims to create a new generation of accountable and responsible experts in Data Science and AI, reflecting the needs of employers and the skillset and qualities that define proficiency in these fields. Get ready to empower yourself and make a positive impact in the world of data science and AI.

This course is subject to validation. You can still apply for this course while it is being approved. 

Fees and funding

UK students
£7,750
International students
£12,750

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Phone
01132837123