Higher Diploma in Science in Artificial Intelligence Applications ( September 2021)

CCT College Dublin (CCT_0921_ICTSC_HDAI)
Key Programme Details
Award

Higher Diploma in Science in Artificial Intelligence Applications

NFQ Level

Level 8 About NFQ

Delivery Method

Blended

Mode

Part Time

ECTS Credits

60

Department

ICT Faculty

General Information
Contact

Admissions Office

Email

info@cct.ie

Phone

01 6333444

Address

Admissions Office
CCT College Dublin
30-34 Westmoreland Street
Dublin 2

Role

Admissions

Important Dates
Application Deadline

27/09/2021

Start Date

27/09/2021

End Date

31/12/2022

About this Course

The Higher Diploma in Science in Artificial Intelligence Applications 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 to obtain a specialist Higher Diploma Major Award in AI at Level 8 of the National Framework of Qualifications (NFQ). This programme is specifically designed for individuals with an evidenced numerate, technical and analytical ability who aspire to work, or are working, in roles that involve artificial intelligence. They will have the opportunity to continue to develop knowledge, skill and competence to remain competitive and employable in an ever-advancing sector.

This is a part-time flexible programme, with contact hours delivered on an evening/weekend and predominantly online/blended learning basis. The programme comprises six taught modules: Artificial Intelligence Concepts to Implementation, Programming for AI, Machine Learning, Data Visualisation Techniques, Storage Solutions for Big Data 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 artificial intelligence 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 machine learning researcher, AI engineer, data mining analyst, machine learning engineer, data scientist, data analyst and business intelligence developer.

Successful learners will be awarded a Higher Diploma in Science in AI Applications with 60 ECTS at Level 8 of the NFQ. This will allow them, if desired, to progress to further study at Level 9 of the framework.

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

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, database knowledge, for example, to a level 8 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 8 degree, or through a combination of qualifications with experience. Specifically:

a.
Applicants will ideally possess a minimum of an honours 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 8 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 8 standard. In addition to numerate, technical and analytical capacity, all applicants will need to evidence learning to a level 8 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 8 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.

Long Description

The Higher Diploma in Science in Artificial Intelligence Applications 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 to obtain a specialist Higher Diploma Major Award in AI at Level 8 of the National Framework of Qualifications (NFQ).

This is a part-time flexible programme, with contact hours delivered on an evening/weekend and predominantly online/blended learning basis. The programme comprises six taught modules: Artificial Intelligence Concepts to Implementation, Programming for AI, Machine Learning, Data Visualisation Techniques, Storage Solutions for Big Data 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.

Udemy's ‘2020 Workplace Learning Trends Report: The Skills of the Future’ predicts that 2020 is the year AI goes mainstream and adopted in all parts of the business. The demand for high level ICT skills, including AI, is forecast to grow driven by strong market demand and the spread of digitalisation across all sectors of the economy. It is predicted that the demand for high-level ICT professionals will increase from 85,000 in 2018 to 139,000 by 2022, relating to all sectors of the economy. (Technology Skills 2022: Ireland’s Third ICT Skills Action Plan).

This Higher Diploma in AI course 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 course deals with current business trends in the use of AI and the tools and technologies used in implementing Artificial Intelligence across a wide selection of business types undergoing digital transformation. The course also deals with the different types of accepted AI and its underlying implementation. The design and development of modules within this programme was informed by significant industry consultation, particularly from Microsoft and its partner network.

Participants on the course 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.


PROGRAMME CONTENT:

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.

- Strategic Thinking -
This Capstone module floats across all semesters Strategic Thinking concepts are introduced purposefully as the module and programme develops. As this module is the capstone, and spans all semesters, the syllabus content usefully synchronises with the principal Problem Based Learning project and associated problem milestones, furthering the relevance of content to practice. The syllabus explores problem identification and the process of solution mapping, this then builds to project planning and team development specifically within this field.

- Artificial Intelligence Concepts to Implementation -
This module will walk students through the broad fundamental concepts and techniques of AI and the different AI approaches. The module covers the definition of AI, history of AI, different levels of AI, and problem-solving approaches. Learners will assess and apply AI techniques. Learners will have the ability to identify the most suitable AI for a given application or task.

- Programming for Artificial Intelligence -
This module uses Python as the base language, which allows the student the ability to quickly and easily come up to speed with the basic concepts of programming due to python’s low entry barrier. Due to the large industrial and academic support for the language, Python enables the implementation of complex AI systems and visualizations at a very early stage in the learning cycle, allowing the student to get practical experience of the AI’s discussed in the case studies.

- Machine Learning -
This module represents one of the corner stones of A.I. The assimilation of knowledge from this module is greatly enhanced by modules running in parallel. Learners will utilise the knowledge to inform the selection or design of the training algorithms to be used in the implementation of problem / domain specific machine learning tasks. This Module links directly with the Earlier Modules by implementing the domain-based knowledge previously covered following the case studies discussed. This module has direct application in both industry and academic research.

- Data Visualisation Techniques -
This module Data visualisation allows the efficient and effective communication of vast quantities of data, offering rapid insights that would otherwise be difficult or impossible with numerical presentation. This module will provide the learner with the skills needed to present a variety of different types and volumes of data in a manner that provides the maximum insight and understanding to the viewer.

- Storage Solutions for Big Data -
The aim of this module is to provide the learner with the necessary knowledge and skill to be able to design and implement storage, processing and machine learning solutions that are capable of scaling to vast quantities of data. The module builds on the skills and knowledge the learner acquired in previous modules, and enables them to propose and formulate solutions to a variety of real-world big data problems. The knowledge gained from this module allows the learner to gain important insight into the practical application of skills learned from this and other modules.

A career in artificial intelligence 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 machine learning researcher, AI engineer, data mining analyst, machine learning engineer, data scientist, data analyst and business intelligence developer.

Successful learners will be awarded a Higher Diploma in Science in AI Applications with 60 ECTS at Level 8 of the NFQ. This will allow them, if desired, to progress to further study at Level 9 of the framework.

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

Why Choose This Course

Udemy's ‘2020 Workplace Learning Trends Report: The Skills of the Future’ predicts that 2020 is the year AI goes mainstream and adopted in all parts of the business. The demand for high level ICT skills, including AI, is forecast to grow driven by strong market demand and the spread of digitalisation across all sectors of the economy. It is predicted that the demand for high-level ICT professionals will increase from 85,000 in 2018 to 139,000 by 2022, relating to all sectors of the economy. (Technology Skills 2022: Ireland’s Third ICT Skills Action Plan).

This Higher Diploma in Science in Artificial Intelligence Applications is a graduate conversion programme 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 to obtain a specialist Higher Diploma Major Award in AI at Level 8 of the National Framework of Qualifications (NFQ). This programme is specifically designed for individuals with an evidenced numerate, technical and analytical ability who aspire to work, or are working, in roles that involve artificial intelligence. They will have the opportunity to continue to develop knowledge, skill and competence to remain competitive and employable in an ever-advancing sector.

This is a one year, full-time but flexible programme, with contact hours delivered on an evening/weekend and predominantly online/blended learning basis. The programme comprises six taught modules: Artificial Intelligence Concepts to Implementation, Programming for AI, Machine Learning, Data Visualisation Techniques, Storage Solutions for Big Data 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.

Career Opportunities

A career in artificial intelligence 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 machine learning researcher, AI engineer, data mining analyst, machine learning engineer, data scientist, data analyst and business intelligence developer.

Successful learners will be awarded a Higher Diploma in Science in AI Applications with 60 ECTS at Level 8 of the NFQ. This will allow them, if desired, to progress to further study at Level 9 of the framework.

Timetable Info

Schedule is typically two evenings per week + 3/4 Saturday mornings per semester. Timetable will be published during the summer.

Delivery Location

As this is a blended learning programme students will be required to engage in a combination of on campus (subject to public health advice) and online activities. All students will be introduced to the CCT online learning environment as part of the induction to the programme and will have access to further support as required.

On campus classes (where applicable) will take place at CCT College Dublin.
CCT College Dublin
30-34 Westmoreland Street
Dublin 2

Delivery Notes

As this is a blended learning programme students will be required to engage in a combination of on campus (subject to public health advice) and online activities. All students will be introduced to the CCT online learning environment as part of the induction to the programme and will have access to further support as required.

Online activities can include live or pre-recorded lectures, independent learning and assessment activities such as research tasks, discussion forums, simulations, quizzes and e-portfolio work along with online group activities such as live classes, group project work, virtual labs and tutorials. Completing the online elements of the programme each week is essential to successfully complete the programme.

On campus activities can include small group tutorials, labs, project supervision, problem solving case studies, library research and seminars.

Admissions Contact Details
Contact Person

Admissions Office

Address

Admissions Office
CCT College Dublin
30-34 Westmoreland Street
Dublin 2

Phone

016333444

Email

info@cct.ie

RPL Information

Applicants are encouraged 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. Full information regarding the College RPL policy is available on the College website http://www.cct.ie/wp-content/uploads/CCTP602-RPL-V2.1.pdf

Application Procedures

On completion of the online application via springboardcourses.ie all applicants will receive an application acknowledgement directly from the College within 48 hours and will be asked to send by return email the following information, as applicable, to complete their application for the Higher Diploma in Science in AI Applications:

- Updated CV
- ID Verification and Residency Verification (photo ID required e.g. EU Passport or non EU passport + evidence of Stamp 4 for 3 out of last 5 years)
- Proof of employment (redacted payslip/letter from employer)
- Attested original copies of degree qualification parchment
- Attested original copies of final degree transcript of results
- RPEL documentation as required by CCT (if applicable, as outlined in entry requirements above)
- Evidence of English Language proficiency scores if the applicant’s first language is not English (IELTS, TOEFL etc.)

Media
Higher Diploma in Science in Artificial Intelligence (AI) Applications

View this course on the CCT College Dublin website and get more information on college facilities and student supports.

https://www.cct.ie/course/postgraduate-diploma-in-artificial-intelligence-ai/


Information Webinar - Monday August 23rd

Register at the link to attend an Information Webinar for this and all Springboard+ and HCI funded courses at CCT College Dublin

https://mktoevents.com/Microsoft+Event/288185/157-GQE-382