Economics and Data Analytics at University of Manchester - UCAS

Course summary

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.


How to apply

Application codes

Course code:
LL15
Institution code:
M20
Campus name:
Main Site
Campus code:
-

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements

The University recognises a number of foundation programmes as suitable for entry to this undergraduate programme: Applicants completing the INTO Manchester in partnership with The University of Manchester international foundation programme are required to achieve AAA in academic subjects and grade B in the EAP with writing and speaking grade B and listening and reading grade C. Applicants completing the NCUK International Foundation year are required to achieve AAA in academic subjects and grade B in the EAP with writing and speaking grade B and listening and reading grade C.

Additional entry requirements

Interview


English language requirements

TestGradeAdditional details
IELTS (Academic)6.56.5 overall with no less than 6.0 in each subtest.
TOEFL (iBT)9090 overall with a minimum of 20 in each subset.

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/4. - iGCSE English (Second Language) grade B/6. - 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.

Acceptable English Language Qualifications

http://www.manchester.ac.uk/study/international/admissions/language-requirements/


Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

Fees for entry in 2025 have not yet been set. For entry in 2024 the tuition fees were £9,250 per annum for home students, and are expected to increase slightly for 2025 entry.
Economics and Data Analytics at University of Manchester - UCAS