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. 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. On successful completion of the MSc Data Science and Artificial Intelligence, you could work in a number of roles, which could include Data Analyst, Strategic Data Insight, AI Developer, AI Data Engineer, Business Intelligence Analyst, ML Engineer or Data Scientist. This degree will also prepare you for further study, such as pursuing a PhD.
The module details given below are subject to change and are the latest example of the curriculum available on this course of study. Fundamentals for Data Science, Programming for Data Science and Artificial Intelligence, Machine Learning, Big Data Analytics and Visualisation, Ethics, Transparency and Accountability and Project.
Assessments are centred around a real-world scenario where you will need to apply your knowledge of the topics covered to solve given problems. You will be assessed by various methods, which include: Written forms, Presentations, Portfolios and Software artifacts
The following information is designed to give you a general overview of the qualifications we accept. If you are taking qualifications that are not included below, please contact our Admissions Office who will be happy to advise you. 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. Minimum English Language entry requirements: IELTS Academic 6.0 (with no less than 5.5 in any component) or equivalent.
Fees and funding
No fee information has been provided for this course