Overview
Whether you have a background in data analytics or are looking for a big data course to gain this knowledge, this Data Analytics and Social Statistics programme at The University of Manchester offers a thorough grounding in this exciting field. Incorporating data collection, analysis, and presentation, with acknowledgement of big data and machine learning, this course will ensure you are at the forefront of developments in social data analysis.
What you will learn
Through Data Analytics and Social Statistics, you will learn the practical, applied knowledge to empower you to unleash the true value of data. Throughout this course, you will learn to carry out advanced statistical modelling and create dynamic data visualisations to show new insights. You will create and manage datasets of various sizes, boosting your skills and realising the true potential of these valuable data.
You will also understand the key concepts of uncertainty and randomness in scientific writing. This course will teach you to exhibit a critical awareness of operationalisation and measurement issues in the social sciences. You will gain strong academic writing ability in the social sciences, using independent thinking to express research using data analytics.
Programme Structure
Modules
- Data Cleaning and Visualisation Using R
- Statistical Modelling
- Survey Methods and Online Research
- Data Science Modelling
- Multilevel and Longitudinal Analysis
Key information
Duration
- Part-time
- 18 months
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
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Credits
Delivered
Campus Location
- Manchester, United Kingdom
Disciplines
Statistics Data Analytics View 16 other Masters in Statistics in United KingdomWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- An Upper Second (2:1) class honours degree, or the overseas equivalent in a social science discipline.
- We may also consider exceptional applicants with a Lower Second (2:2) class honours degree in a social science discipline (or the overseas equivalent), with either research experience or equivalent professional background.
- If you chose to study on a PGDip level and would like to build your qualification to an MSc, you will have to obtain a 50% pass mark on taught units.
Tuition Fees
-
International Applies to you
Applies to youNon-residents16500 GBP / year≈ 16500 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents16500 GBP / year≈ 16500 GBP / year
Additional Details
- PGDip - £11,000 (UK/EU/International)
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Analytics and Social Statistics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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