Course Details

Course Code(s):
PDDBIPTPAD
/
PDDBIPTPBD
Available:
Part-Time
Intake:
Autumn/Fall
Course Start Date:
August & January
Duration:
1 Year
Award:
Professional Diploma
Qualification:
NFQ Level 9 Minor Award
Faculty: Science and Engineering
Course Type: Taught, Professional/Flexible
Fees: For Information on Fees, see section below.

Contact(s):

Name: Dr Sean Moore
Email: sean.moore@ul.ie
Name: SEFLC
Address: Science & Engineering Flexible Learning Centre Email: seflc@ul.ie
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Brief Description

Next Intake: September 2024 (Online) 

We are delighted to inform you that funding up to 100% is now available through the Springboard/HCI Pillar 1 initiative. For information on eligibility, go to the Fees section on this page.

Funded places are offered on a first-come first-served basis, but these are limited and are strictly subject to Springboard+/HCI eligibility. Once the funded places have been filled, the course may remain open for those who wish to apply for a self-financed place.  

Digitalisation of Business and Industrial processes is a major driver for the Irish economy in a bid to yield a fully circular, net-carbon neutral and digital economy by 2050.   

In collaboration with industry partners and the Confirm research centre a strong demand for process digitalisation and data analytics in Business and Industry was identified.  The Professional Diploma in Digitalisation of Business & Industry is industry led in conjunction with an Industry Expert Working Group to meet this demand.

Click Here for the course flyer

(M) Microcreds available:

Modules listed within the Programme Content with an (M) beside them are MicroCreds and can be taken independently.

Digital transformation is the process by which companies embed technologies across their businesses to drive fundamental change. The benefits of such a strategy lead to increased efficiency, greater business agility and the unlocking of new value for employees, customers and shareholders. 

While digital transformation might include digitalization efforts, it goes beyond the project level and affects the entire organization. For most companies, digital transformation requires a shift away from traditional thinking and toward a more collaborative, experimental approach. These new ways of approaching work reveal new solutions which, in turn, can improve customer experience, drive employee innovation and spur company growth at the fundamental level. 

This programme will equip graduates with the competencies to act as a ‘Digital Support’ to operate within an enterprise.  These competencies will allow the graduate to focus on the integration of systems, analysis of key data and the demonstration of opportunities and added value for the business through process digitalisation. 

Delivery

The delivery of the programme is through mainly online blended learning, and self-directed study, and focuses on the undertaking of a set of Artificial Intelligence related modules. 

It will be delivered primarily via on-line lectures, supported with tutorials and assignments and if necessary some on-campus workshops. Formative assessment will be based on assignments and project work with a focus on acquiring knowledge and skills, with opportunity for creativity and innovation. Summative assessment will typically be continuous assessment and /or exam based except for the dissertation which will be report and presentation based.

Semester 1

Digitalisation Of Process (M)

This module will investigate the increasing digitalisation of business processes, from design through to process execution, establishing a robust process for understanding the digitization requirements, paths to digitising the process and methods of process visualization and analysis using platforms like SAS JMP Pro Software.  

Introduction To Cyber-Physical Systems & Internet of Things (M)

The aim of this module is to enable the learner to programme standard ICT Boards, I/O, sensors and gateways in order to collect time-series data streams with an applied learning approach to understanding embedded systems, the Internet-of-things (IoT) and the cyber-physical systems (sensors, control boards) necessary for data acquisition in business environments. 

Semester 2

Introduction To Data Analytics/Visualisation & Machine Learning (M)

The aim of this module is to introduce the learner to standard business systems to collect and interpret datasets for data-driven intelligence, therefore developing an understanding of the need to design and develop database systems, collect, clean, visualise and interpret data rooted in best data analysis practice. 

Applied Research Project in Business Process Digitalisation 

The applied research project will be self-directed by the student with support from the academic supervisor. The completion of the project will bring significant advances in terms of professional and personal development, communication skills and confidence to present proposals and results. 

(M) A MicroCred is a single module within a larger further award (eg. Certificate, Diploma, Masters). By taking a micro-credential you may be eligible to apply for a credit exemption should you progress to study for a further award.

Applicants should have a first or second-class Level 8 honours degree, or equivalent prior learning that is recognised by the University as meeting this requirement. 

Applicants must also satisfy the English Language Requirements of the University.  The University reserves the right to shortlist and interview applicants as deemed necessary. 

What to Include with your Application

  • Qualification transcripts and certificates
  • A copy of your birth certificate or passport
  • If your qualifications have been obtained in a country where English is an official language this will suffice
  • If this is not available, the following additional documents must be provided:
  • • English translation of your qualification(s)/transcripts AND

  • • English language competency certificate

    For more information Click Here

EU - €5,250

Non EU - €5,250

Springboard/HCI Funding - Candidates who satisfy the eligibility criteria under Springboard+ can qualify for 90% or 100% funding subject to the availability of places. To clarify eligibility please go to https://springboardcourses.ie/eligibility

Further information on fees and payment of fees is available from the Student Fees Office website. All fee related queries should be directed to the Student Fees Office (Phone: +353 61 213 007 or email student.fees.office@ul.ie.) 

Please click here for information on funding and scholarships.