BAEcon Economics and Data Analytics

• Learn economics theories and how to contrast these theories in real life, using data analytic and data science techniques.
• Use data and data analytic methods to evaluate policies, understand trends of macroeconomic aggregates, predict and classify economic phenomena, and map and analyse complex network relationships between firms, institutions, policy makers and other agents in society.
• Enjoy using a variety of statistical software used in government, industry, and academia, including R, SPSS and other popular packages.
• Apply to study abroad or complete a professional placement on a four-year optional course.
• Our Economics department has been home to four Nobel Laureates. Our latest Nobel Prize winner, Simon Johnson, received his award in 2024 for his groundbreaking research into understanding wealth disparities between different nations.

During the BA (Econ) in Economics and Data Analytics course, you will learn the traditional curriculum in economics, but also learn how to translate these theories into empirical questions that can be studied using real-life data.

Specifically, you learn data analytic and data science techniques to evaluate the effectiveness of economic policy, understand economic behaviour, predict and classify economic phenomena and describe and analyse networks of relationships between economic agents, firms, institutions and society.

By completing the core and optional units, you gain general sought after skills, including:

• how to collect, describe and visualise data;
• how to build quantitative models to explain phenomena;
• how to quantitatively evaluate the effectiveness of policies;
• how to map and analyse complex social networks;
• how to implement key machine learning algorithms;
• how to implement data analytic techniques and data science algorithms using statistical software including R, as well as proprietary packages such as SPSS.

The pathway emphasises the application of modern data analytic methods to real-life problems. You will also learn some of the underlying theory, enabling you to progress further in your career to more advanced postgraduate courses in either Economics or Data Science and to more challenging scenarios in policy and industry.

6,6,6 at Higher level, 36 points overall.

All applicants to the University (from the UK and Overseas) are required to show evidence of English Language proficiency. The minimum English Language requirement for this course is either:

• GCSE/iGCSE English Language grade C.
• IELTS 6.5 overall with no lower than 6 in any component.
• TOEFL (IBT) 90 overall with a minimum of 20 in each subset.
• iGCSE English (Second Language) grade B.
• An acceptable equivalent qualification.

The UK Visas and Immigration (UKVI) requires that every student from outside the UK and the EU must show evidence of a minimum level of English Language in order to be granted a UK visa (Tier 4 visa) to study at undergraduate or postgraduate level. This level is often referred to as the 'B2 level'.

Additionally, our individual Schools may ask for specific English Language proficiency levels that are necessary for their academic programmes. In most cases these requirements are likely to be higher than the B2 level.

Further information about our English Language policy, including a list of some of the English Language qualifications we accept, can be found here .

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