Course summary
Data is everywhere and affects every aspect of our lives and our society – from fitness trackers to online shopping to social media. Data is used to understand human behaviour, and to inform policy, journalism and strategy. This course is for you if you:
- are a graduate in the social sciences, business or the humanities
- have an interest in data and data-driven methods
- plan a career in the field of data science.
- modern information and communication technologies
- the python programming language
- probability theory, statistics, linear algebra and calculus
- machine learning techniques
- ethics and interpretability.
Modules
We’re planning to run these modules in the academic year 2023/24. However, there may be changes to these modules in response to COVID-19, staff availability, student demand or updates to our curriculum. We’ll make sure to let our applicants know of material changes to modules at the earliest opportunity. Core modules are taken by all students on the course. They give you a solid grounding in your chosen subject and prepare you to explore the topics that interest you most.
- Dissertation (Human and Social Data Science)
- Data Science Research Methods
- Mathematics and Computational Methods for Complex Systems
- Systems for Information Management
- Data Science Masters Research Proposal
- Machine Learning
- Wider Topics in Data Science
Entry requirements
You should normally have an upper second-class (2.1) undergraduate honours degree or above. Your qualification should be in Psychology, Economics, Business, or another Social Science subject with a good level of numeracy. You may also be considered for the course if you have an undergraduate degree in a different subject area and can demonstrate that you have ability with data and a reasonable level of Maths (this can be demonstrated in your school leaving qualifications). For more information about our entry requirements and English language requirements, please visit our website.
Fees and funding
Tuition fees
No fee information has been provided for this course
Additional fee information
Information about our tuition fees, funding options and scholarships for UK and international students is available on our website. Find out more here: https://www.sussex.ac.uk/study/fees-funding
Provider information
University of Sussex
Sussex House
Brighton
BN1 9RH