Data Science with Year of Professional Experience

Queen's University Belfast

The aim of the programme is to offer a deep and up-to-date education in data science, machine learning and artificial intelligence that prepares graduates with key knowledge, skills and competencies necessary for employment in data engineering, data analysis, data architect (as well as managerial positions on those topics), or as preparation for further research and innovation careers.In particular the programme aims to provide students with:- Comprehensive knowledge and understanding of the fundamental principles of artificial intelligence, data science and machine learning, which will remain applicable through changes in technology.- Advanced knowledge and practical skills in the theory and practice of data analytics.- The necessary skills, tools and techniques needed to embark on careers as data scientist, or professional developers skilled in data science.- Skills in a range of practices, processes, tools and methods applicable to data science in commercial and research contexts.- Timely exposure to, and practical experience in, a range of current technologies and emerging trends at the forefront of data science, such as Deep Learning, Natural Language Processing and Trustworthy AI.- Opportunities for the development of practical skills in a commercial context.**Data Science With Year Of Professional Experience Degree HighlightsIndustry Links**Our students are constantly given the opportunity to put theory into practice. We regularly consult a large number of employers including, for example, Civica and Sensata Technologies, who provide sponsorship for our students as well as Kainos and Liberty IT who are members of the employer liaison panel for the course.In addition, students will complete a year of professional experience on data analytics with one of our partners companies.**World Class Facilities**A new Teaching Centre for Mathematics and Physics opened in September 2016. This provides a dedicated space for teaching within the School. Facilities for mathematics include new lecture and group-study rooms, a new student social area and state-of-the-art computer facilities. Computer Science teaching takes place in the Computer Science Building on the Malone Road, just a short walk from the Mathematics department. The building was recently refurbished at a cost of £14M, and is welcoming with a modern style and approach to students with spaces which include computer laboratories, lecture theatre and options of break-out areas.

School of Electronics, Electrical Engineering and Computer Science