Professional learners in engineering sector who wants to acquire fundamental skills to effectively engage in and manage data analytics projects and develop their data analysis skills and competencies.
Industrial Data Analytics
Level 9 | 5 ECTS | Sept 2024 | € 875 | 80% Learner Fee Subsidy
Overview
| Module Code | MEEN41380 |
| Module Title | Industrial Data Analytics |
| Subject Area | Digital Manufacturing/Engineering |
| Credits | 5 |
| NFQ | 9 |
| EFQ | 7 |
| Start Date | 9th September 2024 |
| Duration | 12 weeks |
| Mode of Delivery | Online |
| Course Leader | Dr. Javad Zeinali |
| Fee | €875
|
| Application Deadline | 6th September 2024 |
The aim of this micro-credential is to answer the questions on how to develop an appropriate data analytics solution for an industry challenge, and what predictive model is the best choice of this solution.
In addition, it provides a unique opportunity to gain insights into the fundamental concepts, techniques, and applications of data analytics in an industrial environment. An important objective is to explain key steps involved in a predictive data analytics project. The course does not involve coding; however, easy-to-use choices are available for practitioners who are interested.
Dr Javad Zeinali, Assistant Professor of Digital Manufacturing in the School of Mechanical and Materials Engineering at University College Dublin discuss the content of Industrial Data Analytics micro- credential. This course is designed for professional learners to acquire fundamental skills necessary to effectively engage in and manage data analytics projects and machine learning. An important objective of this course is to explain key steps involved in a predictive data analytics project. Offered fully online it offers flexible options for busy professionals.
On successful completion of this micro-credential, you will be able to:
- Provide data analytics solutions to address industry data-related challenges.
- Select the most appropriate data analytics approaches tailored to the available dataset and project challenge.
- Analyse real-time and historical data.
- Define main steps needed in the data preprocessing.
- Demonstrate an in-depth understanding of predictive data analytics lifecycle and stages.
- Demonstrate an understanding of different data analytics approaches.
Topics to be covered include:
- Load and generator characteristics, including renewables
- Economic dispatch
- Reserve provision and constraints
- Unit commitment and optimisation
- Electricity market design and operation
- DC power flow
- Frequency control
- Specific case studies on the Irish power system will form a core element of the micro-credential.
Learners will acquire fundamental skills to effectively engage in and manage data analytics projects. Learners will also develop their data analysis, predictive analytics and problem-solving skills and competencies.
This micro-credential is delivered through the UCD online learning platform (Brightspace) and will consist of lectures/seminars, critical writing, and learner presentations.
There will be a two-hour live session each week, and a pre-recorded video will be made available for those who are unable to attend. The course includes a series of activities, such as article reviews, designed to help learners identify a solution for a business or industry challenge of their choice. These activities are intended to support their assignments. Three assignments are designed for learners:
The first assignment is developing a data analytics solution for their chosen business or industry challenge; The second assignment requires them to review a peer-reviewed article related to their challenge; And the final assignment is to prepare a project report or presentation detailing the solution they proposed in the first assignment.
This is a 5 credit micro-credential and involves approximately 120 hours of learner effort.
Entry requirements are a primary degree in (engineering, technology, mathematics or science) with a minimum of
2.2 classification (second class honours , grade two) or International equivalent.
Applicants whose first language is not English must also demonstrate English language proficiency of IELTS 7.0 (no band less than 6.5 in each element), or equivalent.
- Article review – 20%
- Solution overview – 30%
- Project report or presentation – 50%
Please note: Learners can avail of only one of the below funding opportunities per application.
Green Tech Skillnet Funding
Green Tech Skillnet, an organisation dedicated to fostering skills and expertise in the field of green technology, is partnering with UCD micro-credentials to fund 40% of the course fee for eligible learners* on relevant, sustainability-focused, micro-credentials.
How to access the funding:
- Apply for one of the applicable micro-credentials through the UCD website.
- Clearly indicate on your application that you are applying with the intention of receiving a subsidised place on the course through Green Tech Skillnet’s partnership and that you believe you are eligible for this funding.
- If you are successful, you will receive an offer from UCD.
- Once you have accepted your offer, and provided you meet the eligibility criteria*, you will make payment of 60% of the micro-credential fee directly to Green Tech Skillnet, and they will cover the remainder.
- Once payment has been made, you can register and join your micro-credential.
*The eligibility criteria, as set out by the Green Tech Skillnet, are as follows:
- Companies must be private enterprises based in the Republic of Ireland.
- Skillnet Ireland funding is not available to public sector bodies or publicly funded organisations, such as community-based not-for-profit companies or charities.
- Commercial semi-state companies are eligible, providing that income contributed to a Network is not sourced from the public purse.
- Sole traders are eligible as Companies.
Eligibility for Trainees:
Key requirements regarding trainee eligibility:
- Trainees must be based in the Republic of Ireland.
- Trainees must be employed within private enterprise.
- Green Tech Skillnet is required to collect data on the profile of trainees supported and record this data for Skillnet Ireland.
Visit the Green Tech Skillnet website page regarding the (opens in a new window)Electricity Grid Operations micro-credential.
UCD Alumni Discount
We are pleased to offer UCD graduates a 20% discount on tuition fees for the Electricity Grid Operations micro-credential. To avail of this discount you must use your UCD login details when submitting an online micro-credential application so that we can verify your UCD student details. If you cannot remember your UCD login details please contact the UCD Student Desk for assistance.
Organisations Sending 3 Plus Employees
If your organisation plans to send three or more employees to this micro-credential, please contact Maria Keany (maria.keany@ucd.ie), Business Development Manager with NexSys and Energy Institute to discuss availing of a 20% discount.
Written feedback will be provided for essays. Group/class feedback will be provided for presentations.
ME Management PT (T368)
Industrial Data Analytics MEEN41380
Decision AnalysisMEEN40360
Engineering Operations Management MEEN40260
Please note: Learners can avail of only one form of funding per application.
Micro-Credentials Learner Fee Subsidy-Human Capital Initiative Pillar 3
The HCI Pillar 3 Micro-credential Learner Fee Subsidy has been introduced to enable more learners to address critical skills gaps and engage with lifelong learning through micro-credentials. The HCI Pillar 3 Micro-credential Learner Fee Subsidy is funded by Higher Education Authority (HEA) and the Department of Further and Higher Education, Research, Innovation and Science.
HCI Micro-credential Learner Fee Subsidies are available on identified micro-credentials only and in fixed numbers from March 2024 until October 2025.
Please see Eligibility Criteria for further information.
If you have any questions about this micro-credential, or would like to speak to a UCD staff member, please contact (opens in a new window)microcredentials@ucd.ie.