Process Data Analytics

Overview

Competitiveness is critical as manufacturing sites within networks globally compete to be selected to manufacture products. With advancements in manufacturing process technologies and the drive towards Industry 4.0, companies increasingly seek to make data-driven decisions about both their operations and supply chains to achieve this competitiveness.

Process data analytics refers to a combination of tools and techniques that are used to make inferences and process decisions based on measured system data. The field of data analytics has become progressively important due to the huge increases in the amount of data being collected, reductions in the cost of computer hardware, advances in data analytics algorithms, and the increased availability of powerful software tools.

This Certificate in Process Data Analytics has been designed, with significant industrial engagement, to provide learners with an opportunity to rapidly upskill in the ever-expanding field of data analytics. The programme will provide graduates with a theoretical underpinning of process data analytics, but more importantly, provide the practical skills required to meet the demands of the current and future data-driven industry. This course will enable learners to apply the transferable skills developed as part of their original degree to a specific expertise within data analytics.

What will I study?

This part-time blended programme will run online over one academic year, for three evenings per week, providing a flexible learning environment for applicants.

Our online programmes are delivered online and are instructor led. You can attend live lectures or playback on demand. You log in at home but you join a virtual classroom where you can chat and support your classmates. You can participate fully in lectures through polls and activities. Our engaging and relevant courses reflect real world skills, give you access to MTU’s world class resources and encourage connections between you, your classmates and your lecturers

Credits:

30

Entry Requirements

Applicants must hold a Level 8 degree and must be highly motivated and capable of independent learning. Preference will be given to applicants with a background in cognate and analytical disciplines, who would benefit from an opportunity to rapidly and successfully convert their qualifications to industry- relevant skills. All candidates with a Level 8 qualification or equivalent will be considered.

Candidates with a Level 7 qualification and significant relevant experiential learning may be eligible through our recognition of prior learning (RPL) processes. MTU has an extremely well- established and supported RPL process.

What is RPL?

Recognition of Prior Learning (RPL) is when formal recognition is given for what you already know prior to starting on a programme or module. With recognition of prior learning the focus is on learning and not on experience as such. You can apply for RPL in any MTU accredited programme or module. Programmes which are accredited by professional bodies or any external awarding bodies may have their own procedures for RPL which you should refer to.

Fees

€3,150

Please note that applicants will be required to pay an acceptance fee of €550 online if a place on a course is offered. This fee is deductible from the overall course fee. 

Note: You will not be charged for applying for the programme by clicking the 'apply now' button, you are only asked to pay an acceptance fee if a place is offered to you, and you wish to accept it.

Progression

On successful completion of this Certificate, you may progress to the Higher Diploma in Data Science & Analytics.