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Springboard+ Higher Diploma in Science in Data Analytics for Business | Funded*

-Created 18-06-2021
category

Data Analysis | Big Data

location CCT College Dublin 30-34 Westmoreland Street Dublin 2

Information
Course Title:   Springboard+ Higher Diploma in Science in Data Analytics for Business | Funded*
Course Category:   Data Analysis | Big Data
Entry Requirements
Learners submitting an application to the proposed programme should provide supporting documentation for application consideration, in line with any one of the below Access arrangements or minimum 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. The minimum recommended specification at the time of writing is windows OS with a basic RAM Memory of 8GB DDR4 RAM and a basic processor Intel i3(7th Gen and above) and a dedicated graphics card.

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.
Course Content
The programme comprises six taught modules: Statistical Techniques for Data Analytics, Data Preparation, Machine Learning, Data Visualisation Techniques, Machine Learning for Business and a Strategic Thinking capstone module incorporating an industry informed Problem Based Learning (PBL) Project.

In addition to the core programme content, learners will develop a range of transversal development skills throughout the programme. These include critical analysis, problem solving, communication skills, advanced evaluation, team management and group work, professionalism, self-analysis and personal reflection.

A career in data analytics can be undertaken in a variety of sectors including private enterprise, public organisations, education, the arts, healthcare, government, and the public sector. Graduates of the programme, based on their learning, can also develop their careers in roles such as data analyst, business intelligence analyst, data engineer, operations analyst, marketing analyst, project manager, transportation logistics analyst, financial services analyst and IT systems analyst.

Successful learners will be awarded a Higher Diploma in Science in Data Analytics for Business with 60 ECTS at Level 8 of the NFQ, also enabling them with a further study/progression opportunity to a relevant level 9 programme like the MSc in Data Analytics at CCT College Dublin.

In addition to their academic studies, learners also have the option of obtaining Microsoft industry professional certification.

---------- Register at link below for our Information Webinar on June 23rd – in Partnership with Industry Partner Microsoft Ireland -------
https://mktoevents.com/Microsoft+Event/282795/157-GQE-382
Description
The Higher Diploma in Science in Data Analytics for Business is a graduate conversion programme, industry informed by Microsoft Ireland and it\\\\\\\\\\\\\\\'s partner network of 1000+ companies, which allows learners to upskill/reskill for careers in the ICT sector and many other business sectors. It provides opportunities for Level 8 graduates from cognate or related disciplines and those with a relevant Level 7 award in an IT discipline to obtain a major award at Level 8 of the National Framework of Qualifications (NFQ).

This is a one year, full-time but flexible, programme with contact hours delivered on an evening/weekend and predominantly online/blended learning basis.
Learning Outcomes
A career in data analytics can be undertaken in a variety of sectors including private enterprise, public organisations, education, the arts, healthcare, government, and the public sector. Graduates of the programme, based on their learning, can also develop their careers in roles such as data analyst, business intelligence analyst, data engineer, operations analyst, marketing analyst, project manager, transportation logistics analyst, financial services analyst and IT systems analyst.

Successful learners will be awarded a Higher Diploma in Science in Data Analytics for Business with 60 ECTS at Level 8 of the NFQ, also enabling them with a further study/progression opportunity to a relevant level 9 programme like the MSc in Data Analytics at CCT College Dublin.
Awarding Body
Awarding Body:   NFQ Level 8
Start Date
Start Date:   Week of 19th September 2022
Course provider information
Contact person:   CCT College Dublin
Course Email:   info@cct.ie
Contact:   +353 1 6333444
Institute:   CCT College
Location:   CCT College Dublin 30-34 Westmoreland Street Dublin 2
Course Provider
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