Course Summary
The course deals with current business trends in the use of big data and the tools and technologies used in implementing data analytics across a wide selection of business types undergoing digital transformation. It also deals with the different types of statistical analysis and its underlying implementation.
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
Evidence of ability in the application of mathematical concepts such as statistics, algebra, or spreadsheet analysis and formulas, for example, to a level 7 standard is required to evidence the numerate, technical and analytical ability required to ensure capacity for the extent of mathematical and technical content on the programme. This pre-requisite knowledge, skill and competence can be evidenced through a level 7 degree, or through a combination of qualifications with experience. Specifically:
a. Applicants will ideally possess a minimum of an ordinary degree in ICT, or a cognate discipline. For the purpose of the application process, cognate disciplines deemed to satisfy the requirement for numerate, technical and analytical content include those in the areas of:
• Mathematics
• Life sciences
• Engineering
• Technology
• Information science
• Economics
• Architecture
• Accounting
Applicants with non-cognate degrees will also be considered but must be able to demonstrate mathematical, technical and analytical ability up to a level 7 standard through qualifications or appropriate experiential learning.
or
b. Applications on the basis of experiential learning or informal / non-formal learning must evidence an applicant’s potential to succeed through demonstration of ability to pursue the programme at the applicable NFQ level and benefit from the programme of study in question. Specifically, RPL applications must evidence numerate, technical and analytical ability to a level 7 standard. In addition to numerate, technical and analytical capacity, all applicants will need to evidence learning to a level 7 standard including the ability to produce written summaries, discussions and projects on academic and applied matters.
RPL portfolio evidence may be provided through:
• Prior study and qualifications, including CPD, short courses and professional awards as well as NFQ awards
• Work experience and achievements
• Other experiential learning obtained through volunteering or non-employment experience
• Successful completion of an entry assessment set by the College
• A combination of the above
This programme is designed for graduates of level 7 degrees of a more numerate, technical and analytical nature or those individuals who can evidence equivalent through professional experience and/or educational qualifications. This programme is not suitable for individuals with only basic numeracy and or computer literacy.
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
While there is no compulsory access interview some applicants may be required to attend an interview. CCT reserves the right to request an applicant to attend a semi-structured interview in order to more fully establish the applicant’s suitability for the programme, their motivation and potential to succeed.
There is no specified minimum experiential requirement for standard applicants. RPL applications are considered on a case-by-case basis under the CCT RPL policy.
Applicants whose first language is not English, must present English Language proficiency level evidence. English language competency required for entry must be equal to or greater than B2+ in the CERFL. English language credentials endorsed by other systems (viz. IELTS, TOEFL, Cambridge etc.) will be assessed to ensure they meet this minimum standard.
All applications for admission onto this programme should include:
• Updated CV
• ID Verification (passport picture page copy)
• Attested original copies of degree qualification parchment
• Attested original copies of final degree transcript of results
• RPEL documentation as required by CCT
• Evidence of English Language proficiency scores if the applicant’s first language is not English (IELTS, TOEFL etc.)
Application Details
Application for the HCI funded course should be made by the Springboard Courses website.
Application for the full-time (day) course should be made by emailing [email protected]
Intake Commencing: 19th February 2024
Fees
Application for the full-time (day) course should 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.
Enterprising
Enterprising people like situations that involve using resources for personal or corporate economic gain. Such people may have an opportunistic frame of mind, and are drawn to commerce, trade and making deals. Some pursue sales and marketing occupations. Many will eventually end up owning their own business, or in management roles in larger organisations. They tend to be very goal-oriented and work best when focused on a target. Some have an entrepreneurial inclination.
Career Progression
Duration
Provisional Schedule for full-time (day) Course
3 days per week (contact hours delivered between 9am and 5.30pm)
Provisional Schedule for HCI/ICT Skills Funded Course
2 evenings per week 5.45-9.45pm plus 3-4 Saturday classes per term (Blended Learning)