Data Analytics & Visualisation
The course emphasises the development of strong theoretical and applied foundations, and has a number of core elements: immersion in fundamental database and software development techniques; a solid foundation in statistical and analysis methods; expertise in data analysis, visualisation and business intelligence using leading-edge tools and programming languages; a capstone project to deepen and demonstrate students' acquired skills; and a significant placement/internship allowing participants to gain relevant experience and also provide industry partners with an opportunity to assess potential recruits.
3 GOOD REASONS TO STUDY THIS COURSE
1. This course is ideal for graduates looking to take advantage of employment opportunities in the exciting new field of Data Analytics.
2. The course is delivered through a blended learning approach, with a significant work placement component allowing participants to gain relevant experience.
3. It ensures that participants develop strong theoretical and applied foundations to ensure they are capable of applying statistics, computing and data visualisation techniques to solve real industry and business problems.
Minimum Entry Requirements
Applicants are normally required to hold a minimum of a Level 8 honours qualification (2.2 or higher) or equivalent in a cognate discipline. Graduates with a Level 7 degree and relevant practical industry experience in the area of computing and information technology will also be considered. Graduates from non-STEM (Science, Technology, Engineering, and Mathematics) disciplines such as languages will be welcomed, but will need to demonstrate an aptitude for logical thinking and problem-solving. The application process will include interviews and/or aptitude tests, given that the work placement is a key element of the programme.
The programme is in line with the University Policy for Recognition of Prior Learning (RPL) in that it recognises prior academic qualifications. The aim of this initiative is to provide graduates with the opportunity to acquire qualifications for employment in the data analytics field. RPL applications are also welcome and can be completed by contacting the programme director.
WHEN TO APPLY: University of Galway does not set a deadline for receipt of applications (with some exceptions). Offers will be issued on a continuous basis. Candidates are encouraged to apply as early as possible.
1 year, full-time.
Post Course Info
The Higher Diploma in Data Analytics responds to a strong and growing demand for graduates with skills in data analysis across all industry sectors. Every industry has seen a huge growth in the amount of data which they generate and collect, which represents a very valuable resource for companies. Demand for workers with specialist data skills like data scientists and data engineers has increased dramatically over the past five years according to recent surveys. Skills Ireland estimates a demand for big data/analytics roles to the tune of up to 62,000 in Ireland by 2020. Roles that will be suitable for graduates of this programme include: data analysts; data visualisation specialists; data engineers; data scientists; business analytics specialists; business intelligence developers.