The MSc Artificial Intelligence & Data Analytics programme is designed to support the career development of AI and data science professionals by providing graduates with the in-depth knowledge, skills and experience that are required by businesses and organisations in the technology sector.
Our MSc Artificial Intelligence and Data Analytics will enable students to specialise in AI and Data Analytics to work in an economy where this skill set is greatly needed. Students will build on their previous computational expertise and acquire the skills they need to become AI and Data specialists with commercial awareness.
By studying this programme, students will gain an in-depth understanding of the statistical and mathematical foundations of AI and achieve advanced practical knowledge of AI and machine learning methodologies applied to complex datasets to meet business objectives. Students will learn the engineering principles used to investigate and manage the design, development and deployment of new data products within a business. Students will also gain the knowledge and ability to apply the techniques applicable to data engineering, data pipelines and the design, development and deployment of scalable data solutions. Furthermore, they will gain the knowledge and skills to manage successful AI and data analytics projects through effective communication and stakeholder management skills. The comprehensive skill set will equip students with the ability to analyse data and gain insights, as well as improve problem-solving skills, critical thinking, and analytical abilities.
Suitable for recent graduates and for those looking to retrain or restart careers, the MSc Artificial Intelligence and Data Analytics provides an ideal pathway for those aspiring to further their careers in the advanced application of artificial intelligence (AI) and data analytics. Students will have the opportunity to further their career opportunities from day one of the programme by gaining professional skills as they progress.
We welcome learners from all backgrounds, and are committed to lifelong learning, pastoral support and to providing routes into digital careers for all graduates, especially those from groups that are currently underrepresented in the technology sector. Businesses need to build teams with diverse thought and experience because this is a critical factor in innovative thinking within teams and will facilitate the delivery of solutions applicable to an inclusive society.
Degree Overview
The MSc Artificial Intelligence and Data Analytics will develop professional practice, contextualised to the relevant business environment using industry-standard technologies and approaches that are shaped by modern businesses. Students studying this programme are likely to be working, or aspiring to work, in roles that focus on the AI and data analytics aspect within a business context. They will learn how to analyse and interpret data to identify trends and patterns, using statistical and visualisation tools, to provide insights that can be used to improve business processes, operations, and decision-making.
The MSc award is 180 credits. Each course, typically 15 or 20 credits, is assessed by a range of activities aligned to industry norms, meaning that almost all assessments align with typical activities that are expected in a data-related occupation. The content, and consequently the learning outcomes and methods of assessment, vary between courses.
Part-time study
The Masters programme can be taken part-time over two years. Part-time students attend the same classes as their full-time colleagues, taking 50% of the course load each academic year.
Our Masters programmes are demanding and we advise students that, if they intend to work alongside the course, their work should be flexible in nature. However, we will work with students, where possible taking into account their individual circumstances and need, to be flexible with our provisions.
Timetables
Timetables are usually made available to students during Freshers’ Week. Teaching can be scheduled to take place during any day of the week. However, when possible, Wednesday afternoons are usually reserved for sports and cultural activities.
Career Outcomes
In their daily work, an employee in this occupation interacts with a broad spectrum of people and collaborates with, and provides technical authority and insight to, a diverse business community of Senior Leaders, Data Scientists, Data Engineers, Statisticians, Analysts, Research and Development Scientists and Academics. Their interactions extend to working externally alongside other organisations, such as local and international governments, businesses, policy regulators, academic research scientists and non-technical audiences. They will work independently and collaboratively as required, reporting to Heads of Data, Chief Architects, Company Directors, Product Managers and senior decision-makers within any organisation.