BSc. Honours Computing with Machine Learning & AI (1 year Add on) (September 2020)

TU Dublin (TA_KCODA_B)
Key Programme Details
Award

BSc. Honours Computing with Machine Learning & AI (1 year Add on)

NFQ Level

Level 8 About NFQ

Delivery Method

Online, Classroom, Blended

Mode

Part Time

ECTS Credits

60

Department

Department of Computing, TU Dublin, Tallaght

General Information
Contact

Lifelong Learning

Email

Springboard.tallaght@TUDublin.ie

Phone

01-4042531

Address

Department of Lifelong Learning,
TU Dublin Tallaght Campus
Tallaght
Dublin 24
D24 FKT9

Important Dates
Application Deadline

18/09/2020

Start Date

21/09/2020

End Date

31/08/2021

About this Course

This 2020 programme contains updated modules in Machine Learning and AI Deep Learning.
This programme thus contains classical Data analysis & Programming techniques which provide the base platform for the understanding of data. It provides specialist knowledge in Social Media Analysis as well as some of the latest tool and techniques for dealing with Big Data.
Industry support for this programme is strong. Organisations are realising the potential of the data they have collected and therefore this degree combines both core computing and data analytical skills. Many national and international reports have identified the exploitation of Big Data using ML/ AI techniques as an essential engine of progress for modern organisations.

This award is also targeted at learners identified in the 2017 Guidance for Higher Education Providers on current and future skills needs of enterprise. This programme provides high level ICT Skills and Big Data Skills.

Participants on this programme will have a minimum level 7 award with competence in statistics, IT and scripting/ programming. In this information age many organisations are data-rich, information poor. Modern IT Systems permit the accumulation of phenomenal amounts of data, however turning this data into useful information for a business or organisation is another matter.

Students of the programme will have a strong set of computing knowledge and skills allied to specific computing focused data analytics skills. They will be given a sufficient grounding in data analysis and database operation to be able to perform basic well founded data analysis. Students will further receive a solid grounding in data reporting, presentation and visualisation.

The course would particularly suit anyone who has already worked in an information technology role and who now needs to update or up skill in order to access current job opportunities.

Objectives

Operations research: Develop the skills required in formulating quantitative models to aid decision-making in project management.
Data Analysis and Programming: Big data analysis concepts and techniques, and the ability to develop solutions to Big Data problems.
Information Management: Strategic use of Information Management within the organisation.
IT Governance and Quality: To give the learner an appreciation of the role of IT Governance in the function of modern business.
Project: The student will research, plan and design a data analytics project to address a specific problem
Applied Machine Learning: Develop skills in applying machine learning techniques to provide models for data analytics problems.
Applied Artificial Intelligence & Deep Learning: Develop skills in applying artificial neural networks techniques to several deep learning contexts.
Interactive Media Design & Visualisation: Critical skills needed to analyse, model and visualise data using specific tools and technologies.
Social Media Analysis and Information Integration: Fundamental principles, issues, opportunities in enabling information to be modeled, published etc.
Enterprise Performance Architecture: Develop skills required to evaluate typical enterprise software architecture,disaster recovery plans

Entry Requirements

Applicants require a level 7 award or equivalent in a cognate area with skills in Statistics, Scripting, Databases and related IT/ Business skills.

If the applicant is over the age of 23 (i.e. mature), they are eligible to apply for Year 1 entry to degree programmes or Year 1 entry to Level 6 Higher Certificate / Special Purpose / Certificate / Minor Awards.
All applicants must have competence in spoken and written English. Eligible candidates may be interviewed.

The following are eligible to apply for courses in 2020/21 academic year (subject to the applicant meeting all requirements, e.g. academic requirements):

• Returners (Formerly known as Homemakers) May apply to all courses if they meet the nationality/visa requirement and residency criteria.
• People in employment May apply to all courses if they meet the nationality/visa requirement and residency criteria.
• Please note that a 10% course fee contribution for Level 7, 8, and 9 courses is applicable for employed participants. This is payable directly to the provider.
• The unemployed or formerly self-employed all courses are open to these category of applicants, with the exception of the two year part-time ICT conversion courses which are not open to those in receipt of a Jobseekers-related payment.

Long Description

This 2020 programme contains updated modules in Machine Learning and AI Deep Learning.
This programme thus contains classical Data analysis & Programming techniques which provide the base platform for the understanding of data. It provides specialist knowledge in Social Media Analysis as well as some of the latest tool and techniques for dealing with Big Data.
Industry support for this programme is strong. Organisations are realising the potential of the data they have collected and therefore this degree combines both core computing and data analytical skills. Many national and international reports have identified the exploitation of Big Data using ML/ AI techniques as an essential engine of progress for modern organisations.

This award is also targeted at learners identified in the 2017 Guidance for Higher Education Providers on current and future skills needs of enterprise. This programme provides high level ICT Skills and Big Data Skills.

Participants on this programme will have a minimum level 7 award with competence in statistics, IT and scripting/ programming. In this information age many organisations are data-rich, information poor. Modern IT Systems permit the accumulation of phenomenal amounts of data, however turning this data into useful information for a business or organisation is another matter.

Students of the programme will have a strong set of computing knowledge and skills allied to specific computing focused data analytics skills. They will be given a sufficient grounding in data analysis and database operation to be able to perform basic well founded data analysis. Students will further receive a solid grounding in data reporting, presentation and visualisation.

The course would particularly suit anyone who has already worked in an information technology role and who now needs to update or up skill in order to access current job opportunities.

Timetable Info

Two/Three evenings per week. Timetable is subject to change.

Delivery Location

TU Dublin Tallaght Campus
Tallaght
Dublin 24
D24 FKT9

Delivery Notes

Blended

Admissions Contact Details
Contact Person

Lifelong Learning

Address

Department of Lifelong Learning,
TU Dublin Tallaght Campus
Tallaght
Dublin 24
D24 FKT9

Phone

01-4042531

Email

Springboard.tallaght@TUDublin.ie

RPL Information

Recognition of Prior Learning at TU Dublin Tallaght. The RPL process will enable Springboard participants to build on their existing skills and competence. The University is aware that many Springboard applicants will have a range of knowledge skills and competence that they have developed through their life and work experience and that are not necessarily accredited. TU Dublin Tallaght has an RPL process in place that recognises both the accredited and experiential learning of an individual. TU Dublin Tallaght will work with Springboard participants to identify their existing skills and competence and to award them credit for their learning however it has been acquired. This will ensure that Springboard participants will have the opportunity to gain credit for both their accredited ad experiential learning and can tailor their programme to complement existing skills and knowledge and to develop new skills to support future years.

Application Procedures

In order to process your application, we require copies of the following:

Identification (Passport/Driving License)

All Transcripts/Awards, Curriculum Vitae, Proof of employment/Social Welfare benefit/Returner/Self-Employed and any documentation that you may consider relevant in supporting your application.

Proof of competency in English (if required)

If your qualification is from a country other than Ireland: please request a letter of recognition from the National Qualifications Authority of Ireland (NQA) and attach to your application with a copy of your original transcript.