Economics with Data Science
Entry requirements
A level
International Baccalaureate Diploma Programme
33 points overall with three HL subjects at 655
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016)
T Level
Each application will be considered on its individual merits. Where the T Level subject area does not directly match the degree programme being applied for, the personal statement and reference will be particularly important in demonstrating interest, enthusiasm and suitability for the subject.
UCAS Tariff
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About this course
This degree combines economic theory with state-of-the-art analytical techniques in data science and machine learning. You’ll learn to tackle economic problems through new tools in data science while developing practical experience in programming.
**Why study BSc Economics with Data Science**
The BSc (Hons) in Economics with Data Science gives you the chance to explore the connection between economics and computing in new and innovative ways, bridging the gap between theory and data. It distinguishes itself from existing programs through:
- Its focus on cutting-edge computational methods related to data analysis.
- Immersing you in the rapid developments in artificial intelligence and machine learning. These discoveries profoundly influence academic research, businesses and public organisations.
- Exploring computational thinking and data-driven methods in economic analysis, and demonstrating how these are becoming indispensable in an increasingly digital and connected world.
- Giving you the opportunity to study modules from our Department of Computing to give you a highly relevant context, equipping you with essential computing skills to solve economic problems.
- You'll gain a solid understanding of the theoretical foundations of economics. What's more, you'll learn interdisciplinary tools, and skills to work with complex, high-dimensional datasets.
**What you'll learn**
The increasing demand for economists with expertise in the computational methods for data analysis is the focus of this programme. This degree will advance your knowledge in the following ways:
- You'll gain a rigorous foundation of economic thinking and the tools (both theory and empirical analysis) that are part of the trade.
- You'll be grounded in the context of the application of these tools both historically and in the different political and social realities of today.
- You'll explore computational thinking, develop advanced programming skills and the ability to work with big datasets to be able to understand and tackle important socio-economic problems.
- You'll study a mixture of core and optional modules in economic analysis, mathematical and statistical analysis, the context of economic ideas and the broader political and social context of today, and computational methods, especially in relation to developing advanced skills and methods to organise, analyse and infer from various form of data.
**Setting you up for success**
This degree will develop your skills, making you well-equipped to analyse important economic issues using cutting-edge methods but will also be able to instigate change and have successful professional careers. The interdisciplinary nature of the programme will be pioneering in reimagining and redefining the toolkit available for future economists. This degree intends to equip you with the skills necessary to understand and tackle challenges posed by a dynamic economy.
Modules
Year 1
In your first year, you'll study the following compulsory modules:
Introductory Economics
Introduction to Programming
Mathematics for Economics and Business
Computing Project 1
Identity, Agency & Environment 1
Identity, Agency & Environment 2
Year 2
In year two, you'll take the following compulsory modules:
Intermediate Microeconomics
Intermediate Macroeconomics
Quantitative Economics
Applied Quantitative Economics
Economic History
Programming with Data
You'll also have the opportunity to choose from optional modules across the Institute of Management Studies and the Department of Computing. You can also choose to take either of the following two modules.
My Career Strategy
or
Goldsmiths’ Social Change Module
Year 3
In your final year, you'll take the following compulsory modules:
Econometrics
Advanced Econometrics
Machine Learning
You can then choose optional modules from across both Economics and Computing.
Optional modules in the area of computing include:
Data Visualisation
Data Mining
Neural Networks
Artificial Intelligence
Optional modules in the area of economics include:
International Economics
Public Economics
Behavioural Economics
From National Statistics to Big Data
Communications and Presentation Skills
Manias, Bubbles, Crises and Market Failure
Individual and Institutional Economic Behaviour
Gender, Race and Economic Relations
Please note that due to staff research commitments not all of these modules may be available every year.
The Uni
Goldsmiths, University of London
Institute of Management Studies (IMS)
What students say
We've crunched the numbers to see if overall student satisfaction here is high, medium or low compared to students studying this subject(s) at other universities.
How do students rate their degree experience?
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Information technology
Sorry, no information to show
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Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
Economics
Teaching and learning
Assessment and feedback
Resources and organisation
Student voice
Who studies this subject and how do they get on?
Most popular A-Levels studied (and grade achieved)
After graduation
The stats in this section relate to the general subject area/s at this university – not this specific course. We show this where there isn't enough data about the course, or where this is the most detailed info available to us.
Information technology
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
Economics
What are graduates doing after six months?
This is what graduates told us they were doing (and earning), shortly after completing their course. We've crunched the numbers to show you if these immediate prospects are high, medium or low, compared to those studying this subject/s at other universities.
Top job areas of graduates
This is a degree in demand, as business increasingly needs workers who can examine and explain complex data. And yet the number of economics graduates fell by nearly 10% last year, which means demand is even greater. As so many economic grads go into banking and finance, it's not surprising that over half of all 2015's economics graduates who did go into work were working in London. And don't think it's just the finance industry that's interested in these graduates - there's a significant number who enter the IT industry to work with data as analysts and consultants. It's quite common for economics graduates to go into jobs such as accountancy and management consultancy which may require you to take more training and gain professional qualifications - so don’t assume you won’t have to take any more exams once you leave uni. And the incentive to take them, of course, is better pay, which will be on top of an already healthy average starting salary of over £30,000 for graduates working in the capital.
What about your long term prospects?
Looking further ahead, below is a rough guide for what graduates went on to earn.
Information technology
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£27k
£32k
£38k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
Economics
The graph shows median earnings of graduates who achieved a degree in this subject area one, three and five years after graduating from here.
£22k
Note: this data only looks at employees (and not those who are self-employed or also studying) and covers a broad sample of graduates and the various paths they've taken, which might not always be a direct result of their degree.
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Post-six month graduation stats:
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It offers a snapshot of what grads went on to do six months later, what they were earning on average, and whether they felt their degree helped them obtain a 'graduate role'. We calculate a mean rating to indicate if this is high, medium or low compared to other universities.
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Graduate field commentary:
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The Longitudinal Educational Outcomes dataset combines HRMC earnings data with student records from the Higher Education Statistics Agency.
While there are lots of factors at play when it comes to your future earnings, use this as a rough timeline of what graduates in this subject area were earning on average one, three and five years later. Can you see a steady increase in salary, or did grads need some experience under their belt before seeing a nice bump up in their pay packet?
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