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Data Science & Analytics

Aim
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.

Structure
This is a 60 credit programme, in which three core strands: Statistics & Mathematics, Computer Science, and Data Science, are developed over two semesters, 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 such as R, Excel, VBA, SAS, SPSS, RapidMiner, Tableau, Hadoop and Qlikview, and in the programming languages Python, SQL and NoSQL.

Entry requirements

Admission Requirements
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.

Duration

2 Years Part-time.

January/February 2018 – depending on the start date of Semester 2 (subject to demand).

Number of credits

60

Further enquiries

Frances McAuliffe
T: 0214326187
E: mathematics@cit.ie

Subjects taught

Mandatory
DATA8001 Data Science and Analytics
MATH8009 Mathematical Methods and Modelling
STAT8006 Applied Statistics and Probability
DATA8002 Data Management Systems
DATA8003 Unstructured Data & Visualisation
COMP8042 Analytical and Scientific Programming
STAT8007 Statistical Methods for Big Data
DATA8004 Data Mining and Knowledge Discovery
DATA8005 Distributed Data Management
DATA8006 Data Analytics Project

Electives
STAT8008 Time Series & Multivariate Analysis
COMP8043 Machine Learning

Comment

Award
Higher Diploma in Science in Data Science & Analytics (Level 8 on the National Framework of Qualifications).

Course fee

Total: €4,200. €350 per 5 credit module, and €700 for the 10 credit project module (inc exam fees).

Enrolment and start dates

Information/Registration
Institute staff will be in attendance during each session to offer career guidance and assistance.

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.

Information/Registration for the academic year beginning September 2017 will take place from 6.00pm to 8.00pm on the following dates:

Tuesday 5th September 2017
CIT Bishopstown Campus

Business: Business Studies & Accounting, Marketing, and Human Resource Management.

Humanities: Cookery, Bar Operations, Hospitality Management, and Counselling & Psychotherapy.

Media: Media Production, Radio Broadcast Media, Journalism, E-learning, and Digital Media.

Wednesday 6th September 2017
CIT Bishopstown Campus

Engineering: Biopharmaceutical, Civil, Structural & Environmental, Good Manufacturing Practice, Construction, Mechanical, Biomedical, Advanced Manufacturing & Manufacturing Systems, Supply Chain & Transport Management, Transport & Automobile, and Welding.

Science & Informatics: Applied Physics & Instrumentation, Quality Assurance/Management, Computing, and Mathematics.

Thursday 7th September 2017
CIT Crawford College of Art & Design

Please note: Enrolment will take place at the CIT Crawford College of Art & Design, Sharman Crawford Street, Cork, from 6.00pm to 8.00pm.

Art Therapy, Art & Design Education, Teaching Visual Arts for Primary & Early Years Education, Weekend Courses, and Short Courses (Life Drawing/Painting/Photography/Pottery/Stained Glass/Art Portfolio Preparation).

Online application will open shortly for Semester 2 commencing in January/February 2018.

Course & Module Information, and to apply online, visit www.cit.ie/course/CRSDAAN8

Remember to mention gradireland when contacting institutions!