Master of Science in Applied Artificial Intelligence (CARLOW)

Institute of Technology, Carlow (CW_KCAAI_M)
Key Programme Details
Award

Major

NFQ Level

Level 9 About NFQ

Delivery Method

Classroom

Mode

Part Time

ECTS Credits

90

General Information
Contact

Geraldine Cawley

Email

springboard@itcarlow.ie

Phone

059 9175288

Address

Faculty of Lifelong Learning
Institute of Technology Carlow
Kilkenny Road
Carlow
R93 V960

Role

Springboard Administrator

Important Dates
Application Deadline

01/11/2021

Start Date

17/01/2022

End Date

17/12/2022

About this Course

Artificial Intelligence (AI) has become one of the most exciting topics in Computing today. Brought about by the improvement in available hardware and an array of free, open-sourced AI software libraries, it is one of the fastest growing areas within the ICT industry. It is already being used to develop smarter products and services, from self-driving cars and automated warehouses, to computer games and online chatbots. This master’s programme aims to provide students with a deep understanding of the important topics within Artificial Intelligence. Students will be equipped to apply them in real-life scenarios and to solve (sometimes difficult) business and/or societal problems. Students will learn to discern the possible utility of AI in the real world while understanding the practical considerations that arise, for example: algorithm efficiency, power source, speed, communication, movement, environmental conditions, safety, and ethics. The course is taught through a combination of theory and practical-based sessions where topics such as Machine Learning and Deep Learning are covered and examined within specific contexts. Areas which are seeing significant focus within industry, such as, Vision, Natural Language Processing, and Automation will be covered in more detail. Student learning is assessed through a combination of assessment methods, including group and individual-based project work. On completion, students will have the knowledge and skills to strategically evaluate problems, design, and implement solutions utilising the appropriate artificial intelligence approach.
AI/CS is a set of technologies that use machine learning, speech analytics, natural language processing, machine vision and analytics to process the data to make informed decisions or recommendations. It enables discovery, use and collaboration of data in analysis and decision making. Machine learning enables machines to learn from experience on their own. These algorithms are capable of learning from examples and making predictions based on that.

Entry Requirements

A second-class honours level 8 primary degree in Computer Science (or equivalent with a programming/numerate content. In such cases the programme team must be satisfied that the programming/numerate content is sufficient for entry to the programme and that applicants have an aggregate grade of a second-class honours in appropriate modules.
Applicants who do not meet the above standard entry requirements will also be considered if they have an undergraduate degree (at Level 7 or higher) and a minimum of 5 years verifiable relevant industrial experience.
Applicants who do not have a primary degree will only be considered with a minimum of 10 years verifiable relevant industrial experience.
Shortlisted applicants who do not meet the standard entry requirements will be invited for interview.
EU and International graduates whose qualifications are in line with the Bologna agreement or the international NARIC system for Level 8 comparison.
Candidates, for whom English is not their primary language, should possess an IELTS score of 6.0.

Long Description

Artificial Intelligence (AI) has become one of the most exciting topics in Computing today. Brought about by the improvement in available hardware and an array of free, open-sourced AI software libraries, it is one of the fastest growing areas within the ICT industry. It is already being used to develop smarter products and services, from self-driving cars and automated warehouses, to computer games and online chatbots. This master’s programme aims to provide students with a deep understanding of the important topics within Artificial Intelligence. Students will be equipped to apply them in real-life scenarios and to solve (sometimes difficult) business and/or societal problems. Students will learn to discern the possible utility of AI in the real world while understanding the practical considerations that arise, for example: algorithm efficiency, power source, speed, communication, movement, environmental conditions, safety, and ethics. The course is taught through a combination of theory and practical-based sessions where topics such as Machine Learning and Deep Learning are covered and examined within specific contexts. Areas which are seeing significant focus within industry, such as, Vision, Natural Language Processing, and Automation will be covered in more detail. Student learning is assessed through a combination of assessment methods, including group and individual-based project work. On completion, students will have the knowledge and skills to strategically evaluate problems, design, and implement solutions utilising the appropriate artificial intelligence approach.
AI/CS is a set of technologies that use machine learning, speech analytics, natural language processing, machine vision and analytics to process the data to make informed decisions or recommendations. It enables discovery, use and collaboration of data in analysis and decision making. Machine learning enables machines to learn from experience on their own. These algorithms are capable of learning from examples and making predictions based on that.

Timetable Info

Classes for this course take place in the classroom during the DAYTIME on a part-time basis.
Timetable to be confirmed

Delivery Location

Institute of Technology Carlow
Kilkenny Road
Carlow
R93 V960

Delivery Notes

Classes for this course take place in the classroom during the DAYTIME on a part-time basis.

Application Procedures

Apply online at www.springboardcourses.ie

To complete your application process YOU MUST email extendedcampus@itcarlow.ie with the following
(1) A scanned copy of your EU Passport, or a scanned copy of your non-EU Passport with a copy of your Stamp 4 visa. You are not required to provide a copy of your Public Services Card to verify ID.
(2) A copy of your Curriculum Vitae.
(3) A copy of your Level 6 Award or highest other qualification. Translated if not in English
(4) A scanned copy of a recent payslip if employed showing your PPSN, or a scanned copy of a recent payment slip if in receipt of Jobseekers Allowance/ benefit, or a copy of a recent Bank Statement showing receipt of a different, eligible, Department of Employment Affairs & Social Protection, or a letter from your Accountant confirming that are Self-employed, or an Affidavit signed by you and the appropriate third-party confirming that you are a Homemaker.

Please Note: When sending jpgs they must be attachments to your email - not jpgs within emails.