Course Summary
This programme aims to produce graduates who will be able to apply for roles pertaining to Data Analytics across all sectors of the economy.
College Link
Career Sectors
This course prepares you for working in the Career Sectors below. Follow the links to get a fuller understanding of the sectors you are preparing for.
Entry Requirements
CCT College Dublin has identified entry criteria and processes that will enable it to determine an applicant’s potential to succeed on the proposed programme.
The direct entry route to this programme requires applicants to evidence numerate, technical and analytical ability to a minimum of NFQ level 8 standard.
The following are accepted as appropriate evidence for direct entry:
a. An NFQ Level 8 major award, or higher, in the discipline areas of ICT/Computing, Business, Science or Engineering or cognate discipline
or
b. An NFQ Level 8 major award, along with relevant experience in the area of Data Analytics and/or professional certification, may also be considered
In both scenarios presented above, applicants will also be required to evidence ability in the application of mathematical concepts such as algebra, or spreadsheet analysis and formulas, database knowledge, for example, to a level 8 standard. This is essential to demonstrate applicants numerate, technical and analytical ability required to ensure capacity for the extent of mathematical and technical content related to the programme.
This programme is designed for individuals who have previous knowledge in computing, analytics or similar through professional experience and/or educational qualifications. This programme is not suitable for individuals with only basic computer literacy.
Prior programming experience is not essential for admission. All learners will be required to
complete the CCT Programming Induction Bootcamp. A learner who can present evidence of currency in programming using Python can apply to the Programme Leader for exemption from this element of the induction programme. Such applications should normally be made not less than 2 weeks prior to programme start.
English Language Entry Requirement: Applicants whose first language isn’t English must demonstrate a minimum competency in the English Language of CEFR B2+.
To fully engage in this programme applicants will be required to have access to the internet, a laptop or desktop PC with webcam, microphone and speakers or headset.
This is the minimum specification for laptop:
• Windows 10/11 OS with a basic RAM Memory of 16GB DDR4 RAM, processor Intel i5/i7(9th Gen and above or equivalent),
• Dedicated graphics card
• SSD / HDD : 500GB
• M1/M2 Mac Not Suitable for AI or Data Analytics Courses
Applications are also welcome from individuals who do not meet the standard entry requirements but wish to apply for entry based on prior learning (RPL) or prior experiential learning (RPEL). The College will thoroughly assess applications received through RPL and RPEL to ensure that candidates are able to evidence learning to an appropriate standard – normally the framework level equivalent to the direct entry qualifications requirement and demonstrate potential to succeed and benefit from the programme. Applications submitted on this basis will be assessed in line with the College RPL policy.
Application Details
Application for part-time study via Springboard+ must be made via the Springboard+ website.
Application for full-time study can be made by emailing [email protected]
Intakes: Autumn and Spring
Fees
Application for part-time study via Springboard+ must be made via the Springboard+ website.
Application for full-time study can be made by emailing [email protected]
The Student
Career Interests
This course is typically suited for people with the following Career Interests. If these interests do not describe you, this course may prepare you for work you may not find satisfying.
Investigative
The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.
Career Progression
Graduates of the MSc in Data Analytics should be able to secure professional roles at intermediate and advanced positions in data analysis across all sectors of the economy and progress to leadership or research roles using skills related to those learned in the programme curriculum. Potential roles include but are not limited to: Business Intelligence Analyst, Data Analyst, Data Scientist, Data Engineer, Quantitative Analyst, Data Analytics Consultant, Operations Analyst, Marketing Analyst, Data Project Manager, IT Systems Analyst, Transportation Logistics Analyst, Financial Data Analyst, Healthcare Data Analyst.
According to Grad Ireland, who issue regular surveys to Industry on employability trends, the graduate recruitment trends for Ireland and Northern Ireland specifically list data analytics as an area where recruiters saw one of the biggest skills shortfalls at 46%.
This programme aims to produce graduates who are technically skilled, problem solvers, professional, good communicators and effective team players as well as leaders. The graduate will also be well-placed to pursue further academic or professional study.
Duration
3 days per week (contact hours delivered between 9am and 5.30pm)
Provisional Schedule for Part-time Course
2 evenings per week 5.45-9.45pm plus 3-4 Saturday classes per term (Saturday schedule tbc)