University of Liverpool vs University of Strathclyde

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, this MSc will complement your first degree and prepare you to meet the high demand for professionals in data science and AI technologies.

With the roots of data science embedded in mathematics, we’ll start 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 in preparation for your dissertation.

Further opportunities to specialise and enhance your knowledge of big data, web programming, bio-inspired algorithms and modern information systems are available through a range of optional modules.

MSc Artificial Intelligence & Applications is a conversion degree designed specifically for graduates without a computing science background.

It's based on the Office for Artificial Intelligence’s National AI Strategy recommendations for AI Masters courses. You'll learn not just core AI-techniques, but how to place them within a business context so as to show their value.

A skills shortage, particularly around machine learning, means graduates are in high demand. This degree is designed to give you the skills to get ahead of the AI-driven transformation in our economy and society. You'll gain transferable skills to prepare you for a professional career in AI and its applications. These are expected to cover all aspects of society both within the tech sector, as well as outside, including:

education
engineering
health
finance
government
manufacturing
retail
transport

Minimum second-class (2:2) Honours degree or overseas equivalent.

Competitive advantage and innovation in the digital world involve the accurate analysis and insights offered by big data – huge data sets that are constantly being generated – in order to improve effectiveness and efficiencies across several business areas, such as operations management and marketing.

In order to exploit the insights provided by big data, business analytics and the effective use and understanding of data is crucial. This is a rapidly developing field, which is exhibiting massive demand from industry for qualified individuals in this area to take up roles in management globally.

You will develop your knowledge of the organisation, administration and governance of this data, as well as hone your analytical, organisational and leadership skills. The programme is designed for students who wish to pursue a career in this dynamic field or continue their studies to PhD level.

Developed in collaboration with industry contributors and partners including PepsiCo and AstraZeneca, the programme is also underpinned by multidisciplinary research.

The MSc in Business Analysis & Consulting has been developed to equip you with the practical, evaluative and analytical skills to allow you, as a future manager or consultant, to influence and develop strategy and performance within organisations. 

You'll learn the key quantitative business analysis methods necessary to evaluate performance. 

Industry involvement is at the heart of the course. You'll have numerous external clients throughout the year in your experiential learning class, and have the opportunity to undertake your summer project in collaboration with an external organisation.

In addition, you'll learn how to use business models to support the development of strategy for organisations and to help them to monitor and measure strategic processes. 

By the end of the programme, you'll have developed the key skills of business consulting, which are applicable to any organisation.

Minimum second-class Honours degree, or overseas equivalent (view the entry requirements for your country) in business, economics, engineering or the social sciences. Applications from those with other degrees are also encouraged.