All part-time programmes at CIT will run subject to sufficient student numbers. Where a programme cannot proceed, applicants will be contacted and advised on alternative study options.
An Information session will take place on Wednesday 4th September 2019 from 5.30pm to 7.00pm at the CIT Bishopstown Campus. Institute staff will be in attendance to offer career guidance and assistance.
Students should note that Fees quoted relate to the academic year 2019-2020 only and are subject to change on an annual basis. Except where stated, course fees cover the cost of tuition only.
Course fees must be paid before attending lectures.
For more information on Fees, please visit fees/students
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 €4,200.
Students pay for the relevant modules at the start of each semester.
- 1 Year Full-time
- 2 Years Part-time
September 2019 - May 2021 - depending on the start date of Semester 2
The course will commence in September 2019 (subject to demand).
Data Science has become a hugely important topic in recent years with a growing demand for practitioners in a variety of industries. With ever increasing growth in data generation and collection, the value of data to industries is highly dependent on appropriate analysis of the data. Consequently, data science and analytics has become a core component of both public and private sector companies wishing to maintain competitiveness.
The Higher Diploma in Science in Data Science & Analytics (NFQ Level 8) in CIT is a collaboration between the Department of Mathematics and the Department of Computer Science. The programme aims to develop highly skilled and competent graduates in the rapidly expanding field of Data Science. The programme has been designed and developed with industry experts to ensure that graduates develop core skills in programming, database management, statistical modelling, time series analysis, machine learning, data visualisation and interpretation and serves to address skills shortage in the area of Data Science and Analytics.
This is a 60 credit programme, in which three core strands: Statistics & Mathematics, Computer Science, and Data Science, are developed over two semesters (full-time)/four semesters (part-time), with an increasing specialisation to the “big data” context. There will be significant opportunity throughout to apply theoretical knowledge and develop problem solving skills through practical and laboratory sessions. The learner will also undertake a capstone project, which 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 and programming languages including R, Python, Excel, SQL, NoSQL, Tableau, Spark and Hadoop for example.
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).