Course finder
Semester 1
Data Science in Economics (ECNM10109)
Subject
Economics
College
CAHSS
Credits
20
Normal Year Taken
4
Delivery Session Year
2023/2024
Pre-requisites
Visiting students must have completed the equivalent of at least 4 semester-long Economics courses at grade B or above for entry to this course. This MUST INCLUDE courses in: Intermediate Macroeconomics (with calculus); Intermediate Microeconomics (with calculus); Probability & Statistics; and Introductory Econometrics. If macroeconomics and microeconomics courses are not calculus-based, then, in addition, Calculus (or Mathematics for Economics) is required at grade B or above. Please see Additional Restrictions below.
Course Summary
Data Science in Economics introduces principles and methods from Machine Learning that enable economic analysis of Big Data.
Course Description
Businesses, governments and other organizations collect and store vast amounts of digitized information. This is Big Data: It is big in scale, and it is big in scope and complexity (high-dimensional, nonstandard format). Data science concerns the analysis of Big Data and is fast becoming an essential part of an economist's toolkit. Taking standard linear regression analysis as a starting point, Data Science in Economics introduces principles and methods from Machine Learning that enable economic analysis of Big Data. Machine Learning is focused on extracting information from complex data and automatically building good predictions. All analysis is conducted in R, an open-source statistical language for data analysis that is widely used in industry, government, and academia. Please note: All students enrolled on this course will be required to bring a laptop with them to tutorial sessions, in order to take part fully in teaching. If you do not own a laptop, the School encourages you to explore the University's laptop loan scheme: https://www.ed.ac.uk/information-services/library-museum-gallery/using-library/borrowing-a-book/borrowing-laptops
Assessment Information
Written Exam 80%, Coursework 20%, Practical Exam 0%
Additional Restrictions
It is not suitable for students to take this course alongside Essentials of Econometrics (ECNM10052).
view the timetable and further details for this course
Disclaimer
All course information obtained from this visiting student course finder should be regarded as provisional. We cannot guarantee that places will be available for any particular course. For more information, please see the visiting student disclaimer: