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MSc Data Science and Artificial Intelligence

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NEW PROGRAMME FOR 2023

MSC DATA SCIENCE AND ARTIFICIAL INTELLIGENCE

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.

Course overview

Designed in collaboration with key stakeholders including students, employers, academics and external advisors, this programme aims to enable you to develop skills of logical, explorative, analytical and critical thinking in intelligent decision support systems.

Delivered by expert lecturers and industry experts with evidence of research within the Data Science and AI field, each module covers essential elements of data and intelligence with increasing complexity of the knowledge and skills you will need to understand in the digital era.

Real-world case studies will be used throughout the course, and you’ll also have the opportunity to carry out a professional work placement, putting into practice what you’ll learn in your taught sessions.

You’ll also have access to equipment and facilities including Cloud Services, MLOps and ML Pipelines, as well as specialised software such as Hadoop and MapReduce, Apache Kafka and Storm and Tableau for big data and data visualisation.

By the time you graduate, you’ll be prepared to work in a number of roles in the Data Science and AI sector, or you could further your studies with a PhD.

Modules

Fundamentals for Data Science

Programming for Data Science and Artificial

Intelligence

Machine Learning

Big Data Analytics and Visualisation

Ethics, Transparency and Accountability

Project

Why study with us?

• Gain hands-on experience with access to real- world assessment strategies and successfully demonstrate industry-based skills and innovation in decision support and data-driven decision-making.

• Acquire knowledge of ethical and legal issues which inform data and AI.

• Develop multi-disciplinary skills of statistics and computing skills.

• Put into practice what you learn in taught sessions with professional work placements, working on real world problems.

Entry requirements

Leeds Trinity University is committed to recruiting students with talent and potential and who we feel will benefit greatly from their academic and non-academic experiences here. We treat every application on its own merits; we value highly the experience you illustrate in your personal statement.

• 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.

Visit leedstrinity.ac.uk/postgraduate for the latest course information, including tuition fees, and to access the online application form. Information correct at time of publication, February 2023. The information in this booklet is available in alternative formats. Please call 0113 283 7150 or email hello@leedstrinity.ac.uk - 27/01/23-2 230127NO1
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