The course duration is 9 months. Lectures will be delivered 2 evenings per week online. Students will also be required to attend 2 Saturday's per month on campus. (ECTS: 60 Credits)
Module 1: Fundamentals of Maths and Statistics
Solve practical mathematical problems within a digitised industrial setting, providing a solid base of skills using mathematical tools that will be used in subsequent advanced modules e.g., Industrial Statistics and Programming modules within this programme.
Module 2: Transversal Skills
Skills to recognise the changing environmental climate and identify the skills and competencies to act in such an environment. Learners will develop their ability to prepare an appropriate CV, successfully complete an interview and present oneself in the best possible manner. An additional element of the module is to assist learners to develop their network which will aid their entry into the industry.
Module 3: Introduction to Programming
Fundamentals of programming, the different paradigms and how to write code to solve simple problems. This module covers datatypes, logical operations, and user and file interactions, as well as the fundamentals of debugging code.
Module 4: Computer Architecture and Data Management
Fundamentals of computer hardware and data management, understand computer architecture, use of a computer, the components of electric circuits and major components of a computer. This module also introduces the fundamentals of data management through working with simple database commands and queries.
Module 5: Information Technology and Automation
Fundamentals of information technology and automation, basic skills to understand a hardware stack, memory, data storage devices, as well as cloud-based systems and challenges in enterprise and industry. This module also introduces the fundamentals of automation through working with simulations and emulators.
Module 6: Programming Applications
Builds on the techniques and concepts introduced in the module “Introduction to Programming” to introduce the learner to further methods in translating problems into code, using and understanding existing libraries, and creating programs and scripts for running automated routines. Learners will learn to find, interpret and integrate code written by others, troubleshoot and resolve problems with their own code and create programs with simple graphical user interfaces.
Module 7: Industry Statistics and Process Control
Provide learners with a necessary foundation in the knowledge, understanding and skills to effectively use statistical applications in industry that involve processes. Specifically, this module provides the student with the basic statistical methods needed for designing experiments and evaluating common processes using software like Excel. It will also provide the student with an understanding of how to assess and improve the quality of a process within an industrial environment.
Module 8: Data and Visualisation
Provides the learner with an introduction to the basics of data analysis and visualisation. The module aims to provide a solid basis in creating visualisations effectively from retrospective datasets and build the learners’ practical skills in visualisations from datasets by using Microsoft Excel applications to support their learning. It will also provide the student with an understanding of how to record, analyse, disseminate and present data findings in a way that is easy to interpret and make decisions for a business.