Artificial Intelligence in Finance

Key programme benefits to future students

Graduates will have developed the skills required to meet the heightened industry demand for applied technical and quantitative skills blended with strong financial knowledge.



The programme offers a unique interdisciplinary approach to meet the growing demand for technical, quantitative and AI qualifications in finance.



The programme is delivered online over a single year.



Key Fact: Unique online programme at the cutting edge of quantitative finance and computer science.

Autumn Modules

• Introduction to Scientific Computing in AI

• Capital Markets & Corporate Finance

• Project Management in Practice

• Machine Learning for Finance



Spring Modules

• Artificial Intelligence & Machine Learning

• Data Analytics

• Deep Learning for Finance

• Derivative Markets



Summer Modules

• Risk, Ethics, Governance and Artificial Intelligence

• Career Development

Applicants must hold a Level 8 honours degree at a minimum second class honours, grade 2 (NQF or other internationally recognised equivalent) in a relevant discipline such as finance, economics, business, engineering, computing, mathematics, science or technology.



Applicants from other disciplines who have relevant mathematics and computing elements in their primary degree will also be considered.



Applicants who possess an honours degree, minimum 2nd class, grade 2, or equivalent in a non-numerate discipline and have three years experiential learning in an appropriate computing discipline will be considered.



RPL (Recognised Prior Learning) entry will be available for those who do not meeting the minimum entry requirement but who have gained substantial experience in the area.

1 year full-time, online.

Autumn

Graduate careers

Quantitative Analyst, Financial Analyst, Trader, Data Scientist, Quantitative Engineer, Portfolio Manager, Research Analyst, Data Analyst.