Data Science for Manufacturing Success

Data is the driving force behind decision-making and powering innovation. To thrive in this data-driven era it’s crucial for engineers to harness these capabilities. Data science provides engineers with the insights required to optimise processes, reduce costs, and enhance innovation.

This module is designed to equip engineers with essential knowledge and skills needed to harness the potential of data. The learning experience we provide will bridge the gap between the conventional mechanics of manufacturing and the modern science of data analytics.

Why This Module?

By embracing data-driven strategies, companies can harness the power of analytics, visualisation, and modelling to drive efficiency, innovate faster, and compete more effectively.

Key Learning Outcomes:

Demystifying Data: Delve deep into data collection, interpretation of large datasets, and the subtle art of understanding analytics within these repositories.

Advanced Analytics: Gain robust knowledge on the lifecycle, sampling theories, and the magic of visualisation.

Hands-on Software Utilisation: Become familiar with software tools to analyse data, transforming raw numbers into actionable insights.

Mastering Data Mining: Unveil the potential of data mining, encompassing regression, classification, and anomaly detection techniques.

Scripting for Success: Learn to write scripts in relevant software platforms, becoming an active player in the data mining process.

Our Learning Strategies:

Experiential Learning: Through lectures combined with lab-based practical sessions, learners get a balanced mix of theoretical knowledge and hands-on experience.

Problem-Solving: Learners will tackle practical and analytical challenges, simulating real-world scenarios.

Flipped Classroom Model: Stay ahead by accessing the online content before the lectures. This flexible approach lets learners progress at a comfortable pace, ensuring deeper comprehension.

Course Information

Award Type: Single Subject Certification/Micro-Credential
NQF Level: 8
Academic Credits: 5
Duration: 1 Semester
Contact Hours: 24
Delivery Mode: Blended
Assessment Type: Continuous assessment
Start Date: February 2025
Cost: FREE^ / €145 subsidised / €725 full cost

^Fully funded places are available for eligible learners living or working in the Midlands (Laois, Offaly, Longford, Westmeath). The HCI Micro-credentials subsidy covers 80% of the course fee, the ReSHAPE project will fund the remaining 20%.
For applications not within the midlands, the HCI Learner Fee Subsidy will pay 80% of the programme fee (based on eligibility). The remaining 20%, €415, will be payable before registration.
For applicants who aren’t eligible for the HCI Learner Fee Subsidy, the full cost of the programme, €725, will be payable before registration.

*limited places available

Application Deadline:
Friday 17th January 2025 at 5pm

Candidates who meet the eligibility criteria may qualify for a 80% fee subsidy (subject to the availability of places). Details can be found here.

Fully funded places are available for learners living or working in the Midlands (Laois, Offaly, Longford, Westmeath). The HCI Micro-credentials subsidy covers 80% of the course fee, with ReSHAPE funding the remaining 20%. Details can be found here.

Whether you’re looking to upskill your yourself or your team, this module will help to enhance your knowledge in data science for manufacturing.

To learn more about this programme contact:
Lifelong Learning Department
parttimekerry@mtu.ie

Accredited Education: Munster Technological University is a registered training provider with Engineers Ireland