Graduate Certificate in Artificial Intelligence (Graduate Certificate in Artificial Intelligence)

Dublin City University (DC843)
Key Programme Details
Award

Graduate Certificate in Artificial Intelligence

NFQ Level

Level 9 About NFQ

Delivery Method

Blended

Mode

Part Time

ECTS Credits

30

Department

School of Computing

General Information
Contact

Renaat Verbruggen

Email

pgai@dcu.ie

Phone

01 7005000

Address

School of Computing
Dublin City University
Dublin

Role

Programme Chair

Important Dates
Application Deadline

22/09/2020

Start Date

05/10/2020

End Date

31/08/2021

About this Course

The objectives of the Graduate Certificate in Artificial Intelligence course are to upskill potential AI engineers with the skills, theory and recognition they need to develop in their role. Artificial Intelligence is already at the heart of many transformational business and technical applications, typically employing a combination of data analytics and machine learning. Artificial Intelligence applications using massive datasets, powerful computing architectures and advanced learning algorithms are contributing to business growth and societal benefit in fields such as Health, Education, Finance, Telecommunications, Leisure and the Automotive Industry, while new AI-enhanced services for communication, information, entertainment and social convenience are fundamentally altering the way in which society functions. The course will aid the understanding of Artificial Intelligence techniques, technologies in a modern business setting.

Objectives

On successful completion of this programme, a graduate will have:
1. A systematic understanding of the theory, concepts and methods at the forefront of knowledge pertaining to Artificial Intelligence specifically Machine Learning, Statistical Data Analysis and Data Mining.
2. A knowledge of the foundations and techniques of Artificial Intelligence as can be practiced in an organization.
3. An ability to assess a task that is to be supported by a Artificial Intelligence techniques, exercise judgement in deciding what can practicably be achieved, select the appropriate Artificial Intelligencetechniques and
tools that yield a quality solution fit for its intended purpose.
4. An ability to critically evaluate needs and assist stakeholders in the understanding of Artificial Intelligence techniques, technologies in a modern business setting.
5. An ability to participate effectively in teams that design and implement Artificial Intelligence solutions; and be able to bring new techniques and methods to the team, and an ability to be equipped to lead teams once
industrial experience is added.
6. Enhanced career opportunities and employability.
7. An understanding of the field of Artificial Intelligence

Entry Requirements

Candidates must hold, at a minimum, a Second Class Honours degree in Computer Science, Computing, Computer Applications or a related discipline at Level 8 on the NFQ.
Candidates with an NFQ Level 7 qualification, with a minimum of three years relevant experience in a relevant discipline will also be considered.
Candidates with significant experience in the software development sectors, in addition to an Honours primary degree in some other discipline, may also be considered for entry. Participants on this programme are also adivsed to have a working knowledge of python before starting this programme.

All three routes of entry are subject to an interview if deemed necessary by the Chair of Programme or Head of School.
Students who meet the minimum entry requirements are not guaranteed a place on the programme and DCU reserves the right to interview candidates to confirm their suitability for the programme. Non-Native English speakers must submit evidence of competency in the English language as per DCU entry requirements.

Long Description

The objectives of the Graduate Certificate in Artificial Intelligence course are to upskill potential AI engineers with the skills, theory and recognition they need to develop in their role. Artificial Intelligence is already at the heart of many transformational business and technical applications, typically employing a combination of data analytics and machine learning. Artificial Intelligence applications using massive datasets, powerful computing architectures and advanced learning algorithms are contributing to business growth and societal benefit in fields such as Health, Education, Finance, Telecommunications, Leisure and the Automotive Industry, while new AI-enhanced services for communication, information, entertainment and social convenience are fundamentally altering the way in which society functions. The course will aid the understanding of Artificial Intelligence techniques, technologies in a modern business setting.

The modules on this programme are:

CA684 Machine Learning (7.5 credits, part time on campus delivery; 25% CA, 75% exam)
This module will introduce students to a set of intelligent algorithms applied in modern computing, develop theoretical and mathematical underpinnings of these intelligent algorithms, show how these algorithms can be used in problem solving environments and understand their properties and limitations and gain experience with working with these algorithms.

CA660 Statistical Data Analysis (7.5 credits, part time on campus delivery; 25% CA, 75% exam)
This module is a foundation statistical knowledge and to establish the context for a range of methods, used in the analysis of simple and complex systems. Reasonable proficiency in algebra and the ability to grasp concepts of probability and its importance are predominantly required. The emphasis is on an intuitive understanding of the principles and a practical ability to apply these to data examples drawn from diverse systems, rather than mathematical sophistication.

CA683 Data Analytics and Data Mining (7.5 credits, part time on campus delivery; 25% CA; 75% Exam)
This module aims to review and complement foundation statistical knowledge and to establish the context for a range of methods, used in the analysis of simple and complex systems. The emphasis is on an intuitive understanding of the principles and a practical ability to apply these to data examples drawn from diverse systems, rather than mathematical sophistication

OI501 Technology and ICT Career Success (7.5 credits, part time online delivery; 100% CA)
In this careers focused module the learner will build on their skills and knowledge in line with the development of their study of ICT. They will be given the opportunity to develop the tools to allow them to market themselves and their skills to assist them in developing their employability. Topics covered in the module include development of personal development plan, development of a professional profile and portfolio to share with prospective employers, which can be online, understanding the ICT labour market sector and targeted CV development.

Why Choose This Course

Despite significant graduate supply and a number of job ready job seekers with IT skills, shortages of IT skills continue to exist, with IT skills are in demand across all economic sectors. Furthermore, the situation is not unique to Ireland as there is a shortage of IT skills internationally.
Ireland is emerging as an important global leader in Artificial Intelligence and in 2017 under the title of “AI Island” IDA Ireland outlined its visions for Irish research and Ireland-based companies to set the standard in AI. Companies that have an AI presence established in Ireland include: Siemens, Zalando, SAP, HubSpot, Deutsche Bank, Amazon Web Services, Salesforce, Ericsson, Intel, Dell EMC, Microsoft, Fujitsu, Mastercard, Nokia Bell Labs, Huawei, LogoGrab and Soapbox Labs, to name a few. Within the next four to five years, one in five workers engaged in mostly non-routine tasks will need to upskill to take on new roles that rely on AI to do a job. In the backdrop of such demand, the proposed Graduate Certificate in Artificial Intelligence course is designed to address some of the skills shortages.

Career Opportunities

Graduates who successfully complete this programme will have improved proficiency across a range of key disciplines in the field of artificial intelligence as well as updating their skills beyond the narrow remit of training courses. It also supports recent graduates of computing and cognate disciplines to upskill and be prepared for new roles that require Artificial Intelligence.

In addition to the technical modules which enable graduates to upskill, DCU provides an integrated job readiness component (OI501, Technology and ICT Career Success at 7.5 credits), which will allow participants develop the necessary employability skills alongside their academic studies. The course will help participants to identify clear, realistic and practical steps to enhance their careers and to upskill to meet the identified skills shortage in the area of Data Analytics. Finally, while this is a bespoke award, it does provide a foundation for an M.Sc. qualification, and self-funded (ie non Springboard funded) routes to completing an M.Sc. are available. Please contact the programme chair, Renaat Verbruggen for further details.

Timetable Info

The course runs over two semesters, Oct to Jan and Feb to May. A full timetable of lectures will be provided at the start of semester. Examinations are held in January 2020 and May 2020. In the event that participants do not complete all requirements of the programme at the end of semester 2, it is possible to resit exams in August.

Delivery Notes

Blended

Admissions Contact Details
Contact Person

Renaat Verbruggen

Address

School of Computing
Dublin City University
Dublin

Phone

01 7005000

Email

pgai@dcu.ie

Application Procedures

Applications are submitted through the Springboard Application Website: www.springboardcourses.ie
All application should include
1) A scanned copy of all relevant academic transcripts. Copies of the degree parchment are not accepted.
2) Telephone contact details for two referees
3) Personal Statement detailing your prior knowledge, if any, of Artificial Intelligence as well as any industrial experience you might have.
4) A current telephone contact number
5) Applicants full current address details
6) Evidence of eligibility for funding, eg PPS number or Job seekers allowance receipt

Decisions of the applications committee are final.