Technology & Skills For Engineering The Future (PGT)


Technology and Skills for Engineering the Future Microcredential

Duration: 10 weeks
Credits: 10 Academic Credits (PGT)
Delivery: All course content is delivered on Moodle, our virtual learning platform. You will converse with the tutors and fellow students in online forums.
Timetable: Fully online and flexible, with no scheduled classes to attend.
Funding: You are eligible for a fully funded place on this course if you are Scottish-domiciled and/or work for an organisation based in Scotland.
College: College of Science & Engineering
School: James Watt School of Engineering

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The COVID-19 pandemic has presented formidable challenges for the engineering industry, highlighting potential implications for its future growth and long-term sustainability. To navigate this uncertainty and position themselves for success, engineers must take proactive steps to develop the skills that will be essential in the coming years. This Upskilling course is designed to help engineering professionals do just that, by providing instruction and training in a wide range of critical areas. The modern engineer must possess an array of technical, management and communication skills to address the demands of new engineering challenges. Throughout this course, learners will have the opportunity to expand their knowledge, sharpen their technical abilities, and position themselves to play a key role in shaping the future of engineering.

Why this course

This course aims to help engineers to become more valuable assets to their organisations, and more capable of driving innovation, efficiency, and progress in the industry.

Upon completion of this course, you will be able to:

  • Write computer programs to control embedded processors in realistic engineering scenarios;
  • Compare current machine learning approaches and design and test code for a simple machine learning algorithm;
  • Apply a systematic design process to the development of a robotic or autonomous system;
  • Evaluate the worth of AR/VR techniques in solving specific real-world engineering problems;
  • Understand the key aspects of modern engineering project management standards and use these in projects;
  • Use various technologies to produce cutting-edge solutions to next-generation engineering projects;
  • Comply with professional and ethical industry workplace standards.

Course structure

This course is designed to equip learners with the tools and knowledge to identify gaps in the engineering market and bring innovation to the industry through the creation of new technologies and improvement of existing systems. It will cover the following topics: 

Week 1: Programming for Engineering I

Week 2: Programming for Engineering II

Week 3: Embedded Systems

Week 4: Robotics & Autonomous Systems I

Week 5: Robotics & Autonomous Systems II

Week 6: Virtual Reality

Week 7: Artificial Intelligence & Machine Learning I

Week 8: Artificial Intelligence & Machine Learning II

Week 9: Engineering Project Management

Week 10: Professional & Ethical Standards in the Workplace



  • Summative Assessment (100%) (optional)

Learners will individually write a computer program and develop an object detection system using machine learning techniques. Due in Week 12.

Learners who choose to submit this assessment will be awarded 10 Academic Credits towards a relevant Undergraduate degree at the University of Glasgow.


Meet The Team

This course is designed and delivered a group of academics in the James Watt School of Engineering, and led by Professor Kelum Gamage.

For all enquiries related to this course, contact the Upskilling team at


Course alteration or discontinuation
The University of Glasgow endeavours to run all courses as advertised. In exceptional circumstances, however, the University may withdraw or alter a course. For more information, please see: Student contract.

Career prospects

This course is designed to equip learners with skills to progress into the following roles and industries:

  • Programme and Software Development
  • AI and Robotics
  • Project Manager
  • Senior Engineer

Completion of this course grants potential for:

  • Further academic study
  • Promotion
  • Increased earning potential
  • New career path

Fees & funding

Funding: If you are based in Scotland and/or work for an organisation based in Scotland, you are eligible for a fully funded place on this course, meaning you can upskill free of charge.

Fee: £799

Discounts: A 20% discount is available to NHS, Civil Service and Third Sector employees. A 10% discount is available to UofG alumni and for group bookings.

Find out more

Entry requirements

It is suggested that learners on this course are educated to Undergraduate level and have an IELTS equivalent of 6.5. Learners will not be asked to prove their academic or professional history.

How to Apply

Stage 1: Submit Notification of Interest Form 

When applications open, notify us of your interest in applying for a course. You will then receive an email with a link to the Admissions Form.

Stage 2: Submit Admissions Form 

Submit an Admissions Form using the same email address that you used in your Notification of Interest Form. If you are granted an SFC funded place on the course, you will receive an Access Account Notification email (AAN) including instructions on how to complete Academic Registration.

The submission of this form does not guarantee you a place on the course. You will hear from us regarding our decision in approximately four weeks.

Stage 3: Complete Academic Registration

Once complete, your place on the course will be secured.

Upskilling learners do not have to complete Financial Registration or manually enrol. This is processed by the Upskilling team.

Courses have a limited number of spaces. Thus, applications may close before the advertised deadline. To avoid disappointment, it is encouraged that you complete Stages 1-3 of your application at the earliest opportunity.

Subscribe to the Upskilling Mailing List to be alerted when applications open