Taught course

Artificial Intelligence in Finance

Institution
University of Essex · School of Computer Science and Electronic Engineering
Qualifications
MSc

Entry requirements

We will consider all applicants with 2:2 or above, or equivalent international qualifications. For some courses, there may be additional requirements which can be found on our website.

Months of entry

October

Course content

Our MSc Artificial Intelligence in Finance course offers a dynamic blend of financial theory and cutting-edge AI technologies. You will study topics such as algorithmic trading, risk management, and financial modelling, all enhanced by AI techniques like machine learning and natural language processing.

This course equips you with the skills to revolutionise traditional finance practices, driving innovation in areas like automated trading strategies and fraud detection. With a strong foundation in both finance and AI, you will be poised to excel in roles at investment firms, banks, fintech start-ups, and beyond, shaping the future of finance through data-driven insights and intelligent decision-making.

In addition to traditional topics in financial econometrics and market microstructure theory, we put special emphasis on areas, such as:

  • Statistical and computational methods
  • Machine learning models for finance
  • Modelling trading strategies and predictive services that are deployed by hedge funds
  • Algorithmic trading groups
  • Analysis of derivatives
  • Risk management

Our Centre for Computational Finance and Economic Agents (CCFEA) is an innovative and laboratory-based teaching and research centre, with an international reputation for leading-edge, interdisciplinary work combining economic and financial modelling with computational implementation. Postgraduate study within CCFEA will give you rigorous training in the principles of quantitative finance and microeconomics along with computational skills.

We are supported by Essex's highly rated Department of Economics, School of Computer Science and Electronic Engineering, and Essex Business School. That's why we are ranked 6th in the UK for research power in computer science (Times Higher Education research power measure, Research Excellence Framework 2021).

Information for international students

You can find international entry requirements for most countries on our webpage www.essex.ac.uk/international. If your country is not listed, please contact Postgraduate Admissions at pgadmit@essex.ac.uk.

Pre-sessional English Language courses - If you need to improve your English language skills before joining your main degree course, we offer pre-sessional English courses on our campuses in partnership with Kaplan International Pathways. To learn more, please visit www.essex.ac.uk/international/pre-sessional.
Funding - You can explore scholarship opportunities for your country at www.essex.ac.uk/international or view our university-wide scholarships at www.essex.ac.uk/scholarships.

Fees and funding

There are a wide range of funding options for postgraduate study, including scholarships, bursaries and alumni discounts. You can check your eligibility at www.essex.ac.uk/postgraduate/masters/fees-and-funding.

Qualification, course duration and attendance options

  • MSc
    part time
    24 months
    • Campus-based learningis available for this qualification
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Name
Postgraduate Admissions
Email
pgadmit@essex.ac.uk