Higher Diploma in Science in Data Science & Analytics - Part-time
Field of Study
Data Science & Analytics
Type of Course:
Type of Qualification:
Type of Study:
Application Closing Date:
Friday 2nd December 2016
Applicants will already hold a Level 8 degree, and must be highly motivated and capable of independent learning. Preference will be given to applicants with a background in cognate and analytical disciplines, who would benefit from an opportunity to rapidly and successfully convert their qualifications to industry relevant ICT skills. All candidates with a Level 8 qualification or equivalent will be considered.
Candidates with a Level 7 qualification and significant relevant experiential learning may be eligible through our recognition of prior learning processes. Please see www.cit.ie/rpl for further details.
This course has been designed to address the skills shortage in Data Science & Analytics, by equipping graduates with the scientific, technological, business and interpersonal skills necessary to operate professionally in this rapidly evolving interdisciplinary field. i. Cohort 1 (Feb 2016 – full) ii. Cohort 2 (Feb 2017 - application opens in October 2016)
Fees: €350 per 5 credit module, and €700 for the 10 credit project module. These fees include examination fees. Thus the total fee for the full 60 credit programme is €4200.
Students pay for the relevant modules at the start of each semester.
2 Years Part-time.
CIT's Higher Diploma in Science in Data Science & Analytics (NFQ Level 8) has been designed to address the skills shortage in Data Science and Analytics, by equipping graduates with the scientific, technological, business and interpersonal skills necessary to operate professionally in this rapidly evolving interdisciplinary field.
The graduate of this programme will be of high academic and practical standards, in order to match the needs of the Irish and international IT industry, especially in the "Big Data" space. He/she will be able to ally the transferable skills obtained in his/her Level 8 degree to newly acquired knowledge, skills and competences in Statistics & Mathematics, Computer Science and Data Science, and their application to solving real-life problems. Potential job opportunities not only include that of data scientist/analyst, but also skilled staff who will be required to extract actionable insight from large amounts of raw data in order to enable better decision making within an organisation.
This is a 60 credit part-time programme, in which three core strands: Statistics & Mathematics, Computer Science, and Data Science, are developed, with an increasing specialisation to the “big data” context. The learner will take ten taught modules (5 credits each) and a project module (10 credits). There will be significant opportunity throughout to apply theoretical knowledge and develop problem solving skills through practical and laboratory sessions. The capstone project will be a key opportunity to demonstrate the ability to synthesise the learning acquired in the programme, and to apply it to the solution of an authentic problem in Data Science & Analytics.
The graduate will gain significant practical experience, in software packages such as R, Excel, VBA, SAS, SPSS, RapidMiner, Tableau, Hadoop and Qlikview, and in the programming languages Python, SQL and NoSQL.
Click on the Modules tab above for further information and module descriptors.
Higher Diploma in Science in Data Science & Analytics (Level 8 on the National Framework of Qualifications).
Calendar & Contact hours
The CIT academic calendar for 2017/18 will be updated in October 2016.
Online application will open in October 2016 for course commencing in 30th January 2017.
Applications should be submitted on or before Friday 2nd December 2016.
Please note that applicants will be required to pay an acceptance fee of €550 online if a place on a course is offered. This fee is deductible from the overall course fee.
Please attach and upload any documents such as transcripts, CV, other details relevant to the application.
Please upload the following documents when making your application:
- A current Curriculum Vitae
- Personal Statement - please include a 300 word personal statement detailing what has motivated you to apply the programme and how the programme fits in with your career objectives.
- Any further information which you think would support your application, for example, information in regard to Higher Level grades in Leaving Certificate Mathematics, Leaving Certificate Applied Mathematics, Leaving Certificate Physics.
- Educational transcripts and/or final certificates for any qualifications listed in your application form.