Continuous Professional Development
Explore the links below to discover which short course can help you with your next step in your career.
Two study modes available: 5 consecutive weeks or a one week intensive course. Enrolling now for April 2022.
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 trains 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 below to secure your place or send us an enquiry to sarah.smullen@tcd.ie.
Impact Analysis Using Social Data
This short course, delivered in person on the Trinity campus, will teach students which methods can be used to analyse different datasets for addressing different questions of relevance to the social sciences. It gives students the opportunity to design their own randomized experiments and conduct casual regression analysis.
Applied Machine Learning Using Social Data
Next intake April 2022. Apply now to secure your place. Deadline for applications March 31 2022.
This short course places significant emphasis on machine learning (ML) applications. Students will learn how to apply common machine learning tools to answer social science questions.Applied Behavioural Science
Next intake April 2022. Apply now to secure your place. Deadline for applications March 31 2022.
The Continuous Professional Development in Applied Behavioural will provide important insights into the fundamental patterns of individual and group behaviour. Suitable for those working in the areas of ITC, finance or banking who wish to understand human behaviour in organisations and other social groups.
Computer Programming for Social Scientists
Computer Programming for Social Scientists will introduce students to core programming concepts, data management and visualisation. Students will become familiar with the R programming language, which is a state-of-the-art tool for statistical analysis.
Statistical Thinking for Social Data 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 .
Ethics in AI and Social Data
Do you have an interest in the ethical issues raised by social data? This course 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.