The Higher Diploma in Science in Data Analytics for Business postgraduate course aims to provide an opportunity for learners with a degree outside the computing arena as well as those currently involved within the IT sphere to refocus and reskill for careers that require Data Analytics knowledge and skills. This programme is specifically designed for individuals with evidenced numerate, technical and analytical ability who aspire to work, or are working, in roles that involve data analysis or the interpretation of data to inform business management and decision-making. They will have the opportunity to continue to develop knowledge, skill and competence to remain competitive and employable in an ever-advancing sector.
Data Analytics is among a set of emerging and rapidly developing technologies termed Innovation Accelerators, which have been identified as being critical to the next wave of digitalisation. According to Gartner’s Hype Cycle, over the next decade, data analytics and AI will augment workers’ efficiency, as companies rely on leading tech to beat out competitors.
This Higher Diploma in Data Analytics for Business is a rigorous and highly skills focused conversion course, and as such applicants will need to be highly motivated and fully committed to the programme in order to be successful. The design and development of modules within this programme was informed by significant industry consultation, particularly from Microsoft and its partner network. 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.
Programme Content and Modules:
Students will undertake learning in the subjects of programming, mathematical, logical and strategic thinking as well as machine learning, data gathering, analysis and visualisation and the subsequent business application of these skills. Industry-initiated real-world problems will be provided by our industry contacts and used as the context for planning and designing assessment solutions, as well as being an aid for problem-solving sessions.
In addition to the data analysis and associated technical skills, which will be fostered during the participants studies, transferable skills that will be developed throughout the programme via the varied teaching and assessment methods include: critical analysis, advanced evaluation, self-analysis and personal reflection, problem solving, communication skills, team management and group-work and professionalism. The programme is underpinned by a Strategic Thinking Capstone module which spans all semesters and is assessed by a Problem Based Learning (PBL) project. The module explores current strategic thinking issues companies face today, such as data protection and privacy and the challenges and opportunities of emerging technology.
September 2025
CCT College Dublin
30 - 34 Westmoreland St.,
Dublin 2,
Dublin,
Republic of Ireland
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.
English Language Requirements:
IELTS - 6.0
Duolingo - 105 – 115
TOEFL (iBT) - 68-73
CEFR - B2
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