Economics and Data Science
Entry requirements
Typically a 2:2 honours degree from a UK university, or international equivalent, in economics or joint honours with a major component of economics. You are expected to have a good standard in mathematics (eg. calculus, matrix algebra, constrained optimisation) and statistics (eg. probability theory, statistical inference, hypothesis testing, simple regressions) achieved at undergraduate level.
If you have a 2:2 degree in a related subject that is highly quantitative (eg finance, statistics, operations research, mathematics, engineering) you may be considered with approval from an academic selector. The selector will use the degree syllabus and / or letters of reference as evidence of understanding and suitability.
Months of entry
September
Course content
Unlock the power of data in economic analysis with our Economics and Data Science Master's degree. Gain the skills and expertise you need to navigate and derive insights from complex data. Learn to use tools such as random forests, clustering algorithms and text-as-data methods.
- professional economist
- policy maker
- academic researcher
- economic theory
- quantitative methods
- data analysis
- effective communication
- critical thinking
- collaboration
Information for international students
See Newcastle University's course entry for more information
Fees and funding
See Newcastle University's course entry for more information
Qualification, course duration and attendance options
- MSc
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- Dr Chris Walsh - Degree Programme Director
- nubs.recruitment@ncl.ac.uk
- Phone
- +44 (0) 191 208 1503