Artificial Intelligence at Birmingham City University - UCAS

Course options

Course summary

This course will equip you with a sound understanding of the theory and practice of applied Artificial Intelligence (AI) systems through pathways. Streams include core AI and Fintech pathways which have been designed to meet industry needs. What's covered in the course? The course begins by creating a foundation in programming and mathematics, upon which you will build the expertise in several key areas of AI oriented to the pathway, going from first Python code and basic algebra, right through to Deep Learning. The core applied areas of the MSc AI include:

  • Image Analysis - machine learning has shown incredible results recently in understanding the themes of images and video which are being applied in a range of commercial settings; from security and driverless cars, to online clothes shopping.
  • Natural Language Processing - being able to understand speech and text is one of the cornerstones of AI systems. Chatbots built on AI are appearing all over the internet, but more than this, technology giants are searching for ways that machines can have detailed conversations with one another, and read and understand text documents.
  • Time Series - dealing with dynamic data is vital to AI systems in finance, healthcare and defence; whether predicting system vulnerabilities, future stock prices or even predicting patient outcomes in ICU, and how a virus outbreak will permeate through a population.
The Fintech pathway complements learners with a finance background by applying AI techniques to risk management and portfolio analysis, giving graduates a competitive edge in the field. Core AI pathway learners will cover data visualisation with editorial design and AI pipelines and impact evaluation. A strong focus on technology monitoring and ethics will be taught in a way to suit learners from all backgrounds; rather than through specific case studies which only suit certain types of learners. Ethics and horizon scanning frameworks are introduced to apply to any industry. The Master's project will have an industrial route, should you wish to work on an applied project with a corporate partner, and there will be a route on graduation to undertake a professional placement or go on to a doctoral research programme.

Entry requirements

AI pathway - A 2:2 honours degree in any discipline or three years of professional work experience in a role which has required you to work and interact with a range of people requiring a regular element of problem-solving. Fintech pathway - A 2:2 honours degree in addition to a background in finance (e.g. an undergraduate degree in a finance-related subject such as Accountancy, Finance, Economics or Business Management) or three years of professional work experience in a finance role. Application details: On application please also provide a 250-word maximum personal statement detailing why you are ready for this course and how you want to use what you learn in your future career or in later life. Applicants whose degree was not delivered in English will require IELTS 6.0 overall, with no subtest below 5.5.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

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Artificial Intelligence at Birmingham City University - UCAS