Data Science and Artificial Intelligence with a Year in Industry University of Liverpool

Overview

With organisations increasingly reliant on data science and artificial intelligence (AI), understanding how to analyse, validate and interpret data can significantly enhance your employability.

If you’re a graduate in a subject that’s not related to computer science, the Data Science and Artificial Intelligence with a Year in Industry programme from University of Liverpool will complement your first degree and prepare you to meet the high demand for professionals in data science and AI technologies.

Key Features

• With the roots of data science embedded in mathematics, we’ll start year one by introducing you to linear algebra, differential calculus, probability theory and statistics. This will prepare you for working with data mining algorithms and experimenting using real-world data.
• You’ll receive an overview of how to design and create software, including an intensive introduction to programming, and explore key topics in AI. We’ll also provide a thorough grounding in how to plan and conduct research.

Career prospects

• Data science and artificial intelligence driven technologies are becoming integral parts of our lives and changing the ways people do business.
• Nearly every organisation uses data science and artificial intelligence to refine and streamline their business practices. The significant opportunities afforded by the application of data science and artificial intelligence across so many different sectors, from IT and healthcare to government agencies, mean that professionals in this area are in high demand, with job opportunities far outstripping supply.
• This MSc addresses this skills gap by preparing you for an exciting career in data science and artificial intelligence. This includes interdisciplinary opportunities tailored to your individual expertise, achieved by coupling knowledge of data science and artificial intelligence with the knowledge that you acquired from your first degree.

You’ll be well placed on graduation to secure a variety of roles, including:

• Data analyst
• Data scientist
• Data engineer
• Database manager or administrator
• Machine learning practitioner
• Data architect
• Statistician
• Business analyst
• IT consultant.