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Data Science and Economics at University of Manchester - UCAS

Course options

Course summary

Data drives decision-making across almost every sector, from economics and finance to government and policy making. On our BA (Econ) Data Science and Economics you will gain cutting-edge, technical data science expertise while developing strong foundations in core economic principles. This interdisciplinary combination prepares you with the technical skills required to interpret real-economic questions going beyond numbers to discover patterns, make predictions and solve complex challenges. You will learn how to apply the principles of data science to economic and social questions, from discovering and using different types of data (including ‘Big Data’), to evaluating the effectiveness of economic policy, understanding economic behaviour, predicting and classifying economic trends, and analysing networks of relationships between firms, institutions and society. By completing the core and optional units, you will develop highly sought after quantitative and analytical skills, including how to:

  • collect, describe, and visualise empirical evidence;
  • build models from data to explain real-world phenomena;
  • quantitatively evaluate the effectiveness of policies;
  • map and analyse complex social networks;
  • apply sophisticated machine learning algorithms;
  • implement social data science approaches using AI tools, programming languages, and other commonly used statistical software.
This course places equal emphasis on economics and data science, giving you both the theoretical grounding and the practical experience to address real-world economic challenges. You will be taught by experts from both the Economics, Social Statistics and Social Science departments. You will also study the underlying theory, enabling you to progress into competitive careers in policy and industry, or to advanced postgraduate courses in either Data Science or Economics, amongst other fields.


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/


Student Outcomes

Operated by the Office for Students
62%
Employment after 15 months (Most common jobs)
86%
Go onto work and study

The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.

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

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Data Science and Economics at University of Manchester - UCAS