Artificial Intelligence with Industrial Placement - MSc

• Overview

  Creating the next generation of high quality professionals for the AI industry.

  Summary

  The MSc Artificial Intelligence with Industrial Placement is a two-year specialist programme that has the core aim of preparing students with skills in AI that are in high demand nationally and internationally. The MSc programme will strive to address the growing demands in the sector by training computing professionals to follow a career in the AI industry. The course also provides a platform to embark on further research studies.

  This industrial placement provides masters students with an opportunity to gain structured and professional work experience at an advanced level, in a work-based learning environment, as part of their planned programme of study at the University. This will allow students to further develop, refine and reflect on their key personal and professional skills. The placement opportunity significantly supports the development of the student's employability skills, build confidence through further application of theory within the workplace and prepare them for a future career in computing.

  The delivery of the course is supported by multi-million pound infrastructure of a large-scale pervasive and mobile computing environment, a suite of contemporary sensing technologies and rapid prototyping facilities. The course content has been informed by internationally leading research being conducted in the School and by our strong industry partnerships, most notably with BT through the BT Ireland Innovation Centre (BTIIC) and with PwC through the Advanced Research and Engineering Centre (ARC).

  The course is accredited by BCS, The Chartered Institute for IT, for Partial CITP (Chartered IT Professional) and Partial CEng (Chartered Engineer).

  The School of Computing at Ulster University holds Athena Swan Bronze Award since 2016 and is committed to promote and advance gender equality in Higher Education. We particularly welcome female applicants, as they are under-represented within the School at postgraduate taught courses.