Congratulations to the Year in Data Analytics Team, who have won a University Teaching Prize for their cross-divisional collaborative Year in Data Analytics initiative.
The Teaching Prize is awarded to Dr James Bentham, Lecturer in Statistics, Professor Rachel McCrea, Professor of Statistics, Dr Jack Cunliffe, Lecturer in Quantitative Methods and Criminology (SSPSSR) and the wider Year in Data Analytics team: School of Mathematics, Statistics and Actuarial Science, School of Social Policy, Sociology and Social Research (SSPSSR), Division of Computing, Engineering and Mathematical Sciences and the Careers and Employability Service.
The Year in Data Analytics is a one-year, self-contained programme which offers students a unique opportunity to develop key analytical and specialist data science skills, ready for their future careers. The Year is open to students from across the University, except SMSAS and Psychology, and can be taken either in between Stage 2 and Stage 3 or at the end of Stage 3.
During the year, students gain an understanding of the available sources of data and how to manipulate them, learn how to specify, design and construct appropriate analytical frameworks, and develop an awareness of how to implement data analysis methods and tools, and how to assess them in terms of suitability, assumptions and accessibility.
This year’s University Teaching Prizes received a record 34 applications from across the University. The Panel, chaired by Professor Richard Reece, was impressed by the range and quality of applications, and the overall commitment to education and the student experience.
The award winners demonstrated both strong evidence of engagement and impact across all 3 criteria: 1. Excellence in Teaching or Supporting Learning; 2. Dissemination and Influence and 3. Above and Beyond Expectations of their roles. A showcase and award event is being planned for the Autumn term.
Further information about the Year in Data Analytics is available here:
And the full list of University Teach Prize winners is available here: