Sociology and Data Analytics at University of Manchester - UCAS

Course summary

You will learn theories about the workings and organisation of societies and learn how to translate these theories into empirical questions that can be studied using real life data. Specifically, you will learn data analytic and data science techniques to understand social dynamics, predict and classify sociological phenomena and describe and analyse networks of relationships between individuals or organisations. By completing the core and optional units, you can 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 while also teaching some of the underlying theory. This will support career progression to more advanced postgraduate courses and to more challenging scenarios in policy and industry.


How to apply

Application codes

Course code:
52L8
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 ABB 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 ABB in academic subjects and grade B in the EAP with writing and speaking grade B and listening and reading grade C.


English language requirements

TestGradeAdditional details
IELTS (Academic)6.5With no lower than 6.0 in any component.
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: 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
70%
Employment after 15 months (Most common jobs)
92%
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

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.
Sociology and Data Analytics at University of Manchester - UCAS