8 June 2017: Diploma in Data Analysis for Professionals to be offered via Springboard

The School of Mathematical Sciences has been successful in gaining approval to offer its Continuing Professional Development (CPD) programme Data Analysis for Professionals through Springboard+ in 2017.

Springboard+ is an upskilling initiative co-funded by the Irish government and the European Social Fund. It offers higher education opportunities for individuals who qualify under the terms of the scheme to undertake courses for free which will equip them for gaining work in sectors where there are current employment opportunities. The School has been awarded approval for 20 places to be offered via this programme.

Those wishing to apply for this programme through the Springboard initiative should visit https://springboardcourses.ie/.

10 May 2017: School graduates return for alumni reunion

On Friday 31 March 2017, graduates of the School of Mathematical Sciences' programmes returned to DIT's Kevin Street campus for an alumni social event. It was the first such event in the School of Mathematical Sciences and all graduates of the School's programmes were invited to return to DIT, to meet old friends and lecturers and to talk over refreshments.

The event was a great success (despite a transport strike that morning!) with not only recent graduates being well represented but also a number of graduates from years past. Many of our graduates are familiar faces having already returned to the School since graduating to embark on part-time, professional development, postgraduate or research degrees but it was fantastic to catch up with the diverse range of careers and busy lives of others.

We would like to thank all those graduates that came for attending and look forward to seeing our graduates again in the near future.

10 May 2017: School welcomes delegation from Mangosuthu University of Technology

The School of Mathematical Sciences recently met and welcomed to Dublin a delegation of academic staff from Mangosuthu University of Technology (MUT), South Africa. The delegation were visiting Dublin Institute of Technology to exchange ideas, discuss learning and teaching methods and consider opportunities for collaboration and exchange. In particular, the MUT delegation were interested to hear about the School's activities in applied mathematics and mathematical modelling and to learn about the operation and support offered to all DIT students through the Mathematics Learning Support Centre.

The School looks forward to developing a relationship with MUT and exploring opportunties that exist for closer collaboration in mathematical sciences.

10 May 2017: Congratulations to the School's most recent doctoral graduate

Congratulations to Paul O’Reilly who successfully defended his doctoral thesis and will now be awarded the degree of PhD.

Supervised by Dr Dana Mackey, Paul's thesis concerned the mathematical modelling of hybrid polymer systems. The research is a fascinating piece of cross-disciplinary work and the School congratulates Paul on his hard-work and research achievements.

We wish Paul every success in his future career.

10 May 2017: Data analysis students make presentations to industry

Students of the School's programme, DT8998 Data Analysis for Professionals, recently made their final case study presentations to industry.

DT8998 Data Analysis for Professionals is a Continuing Professional Development (CPD) programme that provides the data analysis skills required for those working in sectors such as business, accounting and finance, science and engineering. It develops in graduates an advanced set of core mathematical and statistical skills, including: how to interpret a data set; how to extract ctiical information from large data sets; and how to represent optimally the data and results of an analysis. The programme also develops the analytical and decision-making skills required to work in the area together with a proficiency in relevant modern software tools.

Students experience first-hand the use of data analysis to inform decision making within companies through an industry-linked business case study project. Throughout the industry-sourced case study, students are mentored to deliver relevant conclusions and the case study culminates in a presentation of results to the "client".