Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 1-2 Years
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.
Understanding how and why data is used, and the societal and ethical implications of doing so, are at the heart of this MSc. On the course, you’ll explore:
modern information and communication technologies
the python programming language
probability theory, statistics, linear algebra and calculus
machine learning techniques
ethics and interpretability.
You can choose to focus your studies on digital media, or on innovation and policy.
You’ll learn from experts at the forefront of their fields. Collaboration with our industry partners will give you career development opportunities.
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).
As a Human and Social Data Science graduate, you’re well prepared for a wide range of careers in many fields, including:
online retail and marketing
economic policy research for developing countries
media production
innovation and technology policy
technology and engineering
management, finance and banking
the Civil Service
teaching and academic research.
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.
All year
Dissertation (Human and Social Data Science)
Autumn teaching
Algorithmic Approaches to Mathematics
Data Science Research Methods Autumn (L7)
Systems for Information Management
Spring teaching
Data Science Masters Research Proposal
Machine Learning
Wider Topics in Data Science (L7)
Options
Alongside your core modules, you can choose options to broaden your horizons and tailor your course to your interests. This list gives you a flavour of our options, which are kept under review and may change, for example in response to student feedback or the latest research.
While it’s our aim for students to take their preferred combinations of options, this can’t be guaranteed and will be subject to timetabling. Options may be grouped and if so, students will be able to choose a set number of options from the selection available in any particular group.
Autumn teaching
Applied Natural Language Processing
Digital Journalism
Media, Law and Ethics
Policy Making and Policy Analysis
Programming through Python
Spring teaching
Artificial Intelligence & Global Digital Policies
Critical Data Practice: Race, Gender, Sexuality
Industrial and Innovation Policy
Machine Learning and Statistics for Health (L7)
Network Science
New Developments in Digital Media
Race, Culture and the Media
...
