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Institution / Institute of Technology Carlow Carlow Campus
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Data Science

What is the programme about?
The MSc in Data Science NFQ Level 9 programme provides students with a comprehensive knowledge base and skillset to fulfil and succeed in a variety of roles within data science driven organisations.

The programme is designed to meet current industry needs and provides students with a thorough theoretical and practical grounding in the analysis and utilisation of large data sets, together with experience in conducting data science development projects, thereby preparing graduates for positions of responsibility in the Big Data and IT industries.

As well as studying a range of core taught modules, learners will undertake a significant research and/ or programming project to further enhance their skillset from the creation of a project proposal to the delivery and deployment of a significant data science project.

This innovative programme will build on participants’ professional and personal skills in areas such as presentation, communication and soft skills as well as data science development, integration and critical thinking around the design, implementation and deployment of data science solutions and systems in industry.

Entry requirements

Applicants must have obtained a second class honours level 8 primary degree (or equivalent) in computer science or mathematical sciences or hold a degree with a strong numerate content (e.g. engineering, finance, physics, biosciences or economics). Applicants who do not meet the above standard entry requirements will also be considered if they have an undergraduate degree (at Level 7 or Level 8) and a minimum of 5 years verifiable relevant industrial experience. Applicants who do not have a primary degree will only be considered with a minimum of 10 years verifiable relevant industrial experience.

Duration

1 year part-time, run over 3 days per week

Careers or further progression

What will I be able to do when I finish this programme?
The aim of this programme is to provide learners with an understanding and ability to critically evaluate and utilise data analytics and the associated processes, systems, algorithms, technologies and insights garnered, ethically, in appropriate contexts. The programme also focuses on current research in the field and enables participants to review and critically assess this research.

What follow-on study opportunities are available?
Successful graduates from this programme may progress to undertake specific data science research programmes at level 9 or level 10 within the GameCORE research centre at Institute of Technology Carlow. A number of the development team for this programme are also attached to GameCORE and are engaged in data focused research and research supervision.

Graduates will have progression opportunities to other NFQ level 9 and Level 10 programmes. Students who successfully complete the necessary 60 credits of the programme will be eligible for the Postgraduate Diploma in Science (Level 9) should they opt to leave the programme (Embedded Exit Award).

Potential employment opportunities
Data science is the interdisciplinary field of study of processes and systems to extract knowledge or insights from data in a variety of formats, either structured or unstructured, which is a continuing evolution of traditional data analysis fields such as statistics, data mining, and predictive analytics.

Data scientists who have successfully completed this programme are equipped to work in ICT, finance, business, insurance, marketing and retail, pharmaceutical, biotechnology, telecommunication, media, sports and other sectors. The programme delivers rounded graduates for technical development and/ or data science management positions in the previously mentioned sectors.

Further enquiries

Lifelong Learning Centre
Institute of Technology Carlow,
Kilkenny Road,
Carlow.
Tel: 059 9175280
Fax: 059 9175005
Email: lll@itcarlow.ie
Web: www.itcarlow.ie/lll

Subjects taught

Programming for Data Scientists
Data and Data Storage Technology
Statistics for Data Science
Research Methods
Infrastructure for Big Data
Data Analytics and Algorithms
Data Visualisation and Insight
Project/Dissertation

Comment

Students taking Level 6, 7 or 8 courses of 1 year duration or longer where course fees are €2,290 and who opt to pay full course fees by Saturday 2nd September 2017 will be eligible to benefit from the €300 discounted fee of €1,990.

For programmes where fees exceed €2,290 the appropriate fee payment regulation information is available from the faculty for Lifelong Learning.

(a) Course fees are expected to be paid in full at the commencement of the course. IT Carlow recognises that some students may have difficulties in paying the full amount in one transaction thus the Lifelong Learning Centre has created a number of fee payment by instalment options. All such applications will be treated in confidence. In general, fee payment by instalment applications will only be considered for fees in excess of €1,000.
Students who apply for and are granted a fee payment by installment plan should note that failure to meet the payment dates set down for their payment scheme, in particular key dates, may:
• be denied access to Blackboard
• be prevented from sitting examinations in December, May or August as applicable
• have all other assignment / exam results withheld until payments are made
• assignments will not be accepted nor will a late submission for an assignment be accepted after late payments are made
• pay an additional surcharge.

(b) Students in receipt of employer sponsorship etc. will be required to submit a letter of confirmation of commitment to pay from their employer of funding body. They must also include a Purchase Order Number for invoice purposes. Where fees have not been paid by the ‘sponsor’ within thirty days after issue of the invoice, it is the responsibility of the student to then pay the fee and claim back fees from their sponsor.

(c) Repeat students will be required to pay relevant examination fee when applying to sit the repeat.

(d) The Faculty for Lifelong Learning has a strict policy in relation to Refund of Course Fees and a fees refund or a percentage of same will only be given in the following circumstances:
• A full refund will be given if requested in writing before the commencement of the course.
• Where a student leaves within two weeks of the start of a short course (10-13 weeks), 70% refund of the course fee will apply. Outside this two week period there will be no refund of fees.
• For long courses i.e. those of one-year duration or longer, a percentage of fees refund will be given over the first nine weeks of the course as per table 1. Thereafter there will be no refund of fees.
• The refund calculation is based on the full fee for the course not the amount that a student may have paid under a fees payment installment agreement.
• The fees refund calculation is based on the date that the student formally applies in writing to withdraw from the course.
• All courses will run subject to sufficient numbers. Where a course has to be cancelled those students who have registered and paid will be refunded in full.
• Receipts must be retained and produced when requesting a refund of course fees which must be applied for on the official refund form.

Application date

Closing Date for Applications

All Postgraduate Applications – 12 noon 14th August 2017

All other applications – 12 noon Friday 25th August 2017

Course fee

€7,000

Enrolment and start dates

Registration / Orientation Saturday 2nd September 2017

Courses Commence
Monday 11th September 2017

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