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Course & Unit Catalogues


ES52065: Introduction to programming and machine learning applications in economics and finance

[Page last updated: 14 August 2024]

Academic Year: 2024/25
Owning Department/School: Department of Economics
Credits: 10 [equivalent to 20 CATS credits]
Notional Study Hours: 200
Level: Masters UG & PG (FHEQ level 7)
Period:
Semester 2
Assessment Summary: PRPR 100%
Assessment Detail:
  • Take-home coursework (PRPR 100% - Qualifying Mark: 50)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites:
Learning Outcomes: At the end of the unit students, should be able to:
  • Create programmes with mathematical computing for the purpose of machine learning applications.
  • Apply key concepts, methods, and tools of machine learning to economic and financial problems.



Synopsis: Study the principles of programming and methods of machine learning. You'll gain practical skills in: - reading and writing programmes - producing programmes to solve real-world problems, primarily in the machine learning domain You'll also explore the relevance of taught machine learning methods to economics and finance.

Content: Programming tools and software for implementation of machine learning methods, for example, in Python. Supervised and unsupervised machine learning and its algorithms in application to economic and financial problems. Applications of machine learning in economics and finance.

Course availability:

ES52065 is Optional on the following courses:

Department of Economics

Notes:

  • This unit catalogue is applicable for the 2024/25 academic year only. Students continuing their studies into 2025/26 and beyond should not assume that this unit will be available in future years in the format displayed here for 2024/25.
  • Courses and units are subject to change in accordance with normal University procedures.
  • Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
  • Find out more about these and other important University terms and conditions here.