Expand+Course Codes:
CWS10 Master of Science in Data Science CARLOW Full-time

CWS09 Postgraduate Diploma in Data Science CARLOW Full-time

Entry 2022/2023
Please note that all postgraduate applications for taught programmes at Institute of Technolo...

Hide-Course Codes:
CWS10 Master of Science in Data Science CARLOW Full-time

CWS09 Postgraduate Diploma in Data Science CARLOW Full-time

Entry 2022/2023
Please note that all postgraduate applications for taught programmes at Institute of Technology Carlow should be completed online via PAC (Postgraduate Application System) www.pac.ie

It is important to note that each programme has a different PAC code based on award level, schedule and campus location.

Timetabled hours may include daytime, evening and Saturday classes.

HOW TO APPLY
APPLICATION PROCESS - TAUGHT PROGRAMMES
Please note that all Non-EU international student applicants must apply through our International Office. Please refer to the International section of the prospectus or our website: www.itcarlow.ie/international/non-eu-students or alternatively email: internationaladmin@itcarlow.ie.

Application process steps
1. Choose your programme(s) from our prospectus or online postgraduate programme listing on the Institute website.

It is very important that you review all of the following before applying:

• Entry requirements
• Supporting documentation requirements for your application
• Course modules and information
• Schedule and location (i.e. part-time or full time, and which campus you would like to attend)
• Fees
• Relevant PAC code
• Closing dates for applications.

Should you have any queries, or need further information on a particular programme of study, please contact the relevant programme director or head of department listed on the individual programme.

2. Register with PAC online at www.pac.ie and gather all supporting documentation required for your application (e.g. references, CV, personal statement etc.).

Scanned copies of your supporting documentation must be uploaded to www.pac.ie. Alternatively, supporting documentation can be posted to the Postgraduate Applications Centre, 1 Courthouse Square, Galway. Please note that supplementary documentation should be sent within 7 days of your online application. Documents must be in a clear format, of good quality and a readable size.

Poor quality/unreadable documents may affect the assessment of your application.

3. Apply online at www.pac.ie.
The PAC online application system is now open for new postgraduate applications for the academic year 2022/2023. This is an online application system that allows applicants, for a non-refundable fee of €50 paid directly to PAC, to apply for multiple postgraduate programmes at Institute of Technology Carlow. Applications will be considered in order of preference. If you are successful in receiving an offer on your first preference or first choice of programme, all other preferences will be excluded. Similarly, if you are unsuccessful in your first preference, then your second preference will be considered and so on.

Course selection may be from any of our Masters, Higher Diploma and Postgraduate Diplomas.

PAC may be contacted for support via email: pachelp@pac.ie or through the website. Applicants may contact Admissions via email: graduatestudies@itcarlow.ie.

To ensure a place on your chosen course we advise registering as soon as possible. Certain programmes are restricted to a limited number of applicants and places on these courses are assigned on a first-come-first-served basis. Late applications will be considered on a case-bycase basis.

Institute of Technology Carlow reserves the right to request that some applicants attend for interview to determine their suitability for individual programmes.

4. Review application status via the My Account section on the PAC website.

All applicants will be notified by email of changes to the status of their application. Alternatively, applicants may login online any time to the PAC system under the My Account section to view their application. Applicants who receive an offer have 14 days to accept or decline that offer. Applicants who accept must also pay a deposit of €500 within 14 days which may be paid online via the PAC system. This deposit is then offset against the full tuition fee.

5. Getting started
Applicants who accept their offer should keep up-to-date by logging onto the Institute website. Our academic year starts in September and academic timetables and other news and events will be posted on the website and on other social media such as Facebook, LinkedIn, Twitter and Instagram.

Expand+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 econo...

Hide-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.

Expand+What is the programme about?
The MSc in Data Science NFQ Level 9 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, toget...

Hide-What is the programme about?
The MSc in Data Science NFQ Level 9 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.

Assessing the Demand for Big Data and Analytics Skills, 2013-2020, Report by Forfas & Expert Group on Future Skills Needs, 2014.

‘Currently, North America and Europe have the largest share of new data stored globally. However, one of the crucial constraints with the exponential growth of big data is the challenge in finding and attracting the talent needed. Previously cited analysis suggests that there will be a global shortage of the big data and analytical skills needed to take advantage of potential growth. With a forecasted shortfall of 140,000 to 190,000 people with deep-analytical skills and a further 1.5 million datasavvy managers and analysts by 2018 in the US alone, it is seen that the ‘race’ for data analytics talent is on.’

Expand+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, technolo...

Hide-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 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.