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Continuing Professional Development

The School of Social Sciences & Philosophy is now offering six flexible CPD courses in the areas of Data and Applied Behavioural Science. Early enrolment is encouraged to secure placement as class sizes are limited to encourage participation.

Applied Behavioural Science

This course uses ‘classic’ findings and cutting-edge research from the social sciences, psychology, and neuroscience to document the interplay of forces which explain human behaviour. It will equip working professionals with an understanding of the drivers of human behaviour and with the necessary skills to apply these insights to improve decision making, engagement and performance within their organisations.

'A great blend of practical application and theoretical frameworks. A valuable opportunity to engage with others on the application of Behavioural Science and overall, a very rich learning experience' - William Byrne

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Big Data, AI, and Ethics

Big Data, AI, & Ethics examines some of the most pressing ethical issues raised by social data. It introduces participants to key philosophical tools for addressing such problems and will enable participants to identify and respond to new ethical challenges in this area. It will equip participants to identify and reflect on new ethical issues and challenges raised by the use of social data and prepare participants to be able to formulate guidelines for the ethical use of social data.

'I gained a much greater understanding into the effects AI can have on society. Taking a broader perspective towards right and wrong and other people’s differing opinions on the subject matter really challenged my thinking.' - Grace Hayes

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Statistics and Regression Analysis

In this course you will learn key statistical concepts necessary to analyse social data, such as graphical and numerical data description; probability theory; discrete and continuous random variables; sampling; confidence intervals; hypothesis testing .

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Social Data Analysis

The CPD in Social Data Analysis teaches participants how to apply quantitative methods to conduct causal impact analysis using data. In particular, participants will learn how econometric methods can be used to answer questions related to human behaviour and strategic decision-making with the help of regression based econometric methods.

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Python for Social Data Science

Python for Social Data Science will introduce participants to basic computer programming skills for the Python programming language, which is a state-of-the-art tool for data analysis. The aim is for participants to acquire basic programming skills.

'The CPD programme on Python was impeccably organized. It provided great guidance of how to work with big datasets and extract the needed information.' - Theano Kakoulidou, ESRI.

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R for Social Data Science

R for Social Data Science will introduce participants to basic computer programming skills for social data analysis. The R programming language is an open-sourced and cross-platform tool for statistical analysis. The aim is for participants to acquire basic programming skills.

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Why study a Continuing Professional Development Programme with the TCD School of Social Science & Philosophy?

This suite of CPD programmes will enable professionals to enhance their skills in Data Science and train participants in the fundamental knowledge and skills of social data analysis. These programmes have been co-created with key industry partners to address the scarcity of training in data science in Ireland. Some of the benefits of the programmes include:

  • Learn in the environment of Irelands top university
  • Courses taught by leading Trinity academics
  • Earn a Certificate of Completion in the selected CPD programme
  • Access to Trinity’s Virtual Learning Environment – Blackboard
  • Short courses with flexible modes of delivery
  • Small class sizes

Places are limited as class sizes are small, enrol now at the links above to secure your place or send us an enquiry to