The Faculty of Applied Science offers a variety of courses that are open to students from different Engineering disciplines. You can review the course descriptions of the course offered by visiting the UBC Academic Calendar and searching the course code. We also recommend that you review the course notes, and eligibility on the “Find Course Section” report on Workday.
Some of these courses are Special Topics courses (identified with a letter at the end of the course number). Special topics courses are created by departments as “pilot courses”, for material that may later be incorporated into permanent courses, or where an instructor who has specialized knowledge teaches a special course on a non-permanent basis. Details of these courses are not listed in the UBC Academic Calendar, and may be harder to find year to year.
The table below highlights Engineering courses which are open to students from other Engineering disciplines. This list is not exhaustive, and we recommend using the “Find Course Section” report on Workday to find other course opportunities. Typically you are looking for a 400-level course with a letter at the end of the course code.
If you intend to take any of the following courses as a technical elective, please review your program’s course planning page to ensure the course counts toward your technical electives requirement.
Table Last Updated: July 7, 2026
| Course Code | Course Title | Course Description | Credits |
|---|---|---|---|
| IGEN_V 450-101 | Pipeline Engineering | Pipeline materials and material selection; fracture mechanics; manufacturing and processing; welding and corrosion; soil-pipe interactions; surveying and site investigations; slope stability; natural hazards; pipeline loads and response. [3-0-0]. Prerequisite: Either (a) MECH 221 or (b) APSC 278 and one of CIVL 215, MTRL 263 and one of CIVL 230, MECH 260. | 3 |
| IGEN_V 451-201 | Pipeline Systems and Infrastructure | Energy infrastructure; pipe flows; equipment & facilities including compressors, pumping stations, coolers and controls; terminals; pipeline integrity; corrosion control. [3-0-0]. Prerequisite: Either (a) MECH 221 or (b) APSC 278 and one of CIVL 215, MTRL 263 and one of CIVL 230, MECH 260. | 3 |
| IGEN_V 452-201 | Pipeline Design | Pipeline and pipeline system design reflecting applicable policies, regulations, design codes and design guidelines; construction management and construction techniques; risk assessment and mitigation; linear optimization; route selection; field monitoring and testing; technical design project. [2-0-2]. Prerequisite: IGEN 450. | 3 |
| MTRL_V 434-101 | Aerospace Products Certification and Management | An introduction to the certification of civilian aircraft structures, engines, and components in accordance with applicable airworthiness standards to ensure safety and reliability throughout their operational life cycle. Overview of design and maintenance procedures to certify aerospace products. | 3 |
| MTRL_V 497-C_201 | Electrochemical Materials and Technologies for Decarbonization | This course provides an introduction to electrochemical engineering, with a focus on the fundamental principles of electrochemistry, methods for studying electrochemical materials and devices, and an overview of key electrochemical technologies. Students will develop a strong foundational understanding of electrochemical systems and their applications in sustainable energy and materials science | 3 |
| MTRL_V 497-F_101 | Fibres, Textiles and Wearable Technologies | The basic properties of fibers will be examined, including how they are made (solution, melt and electro spinning) and how they are structured (weaving, knitting, braiding) to create textiles used in clothing, aircraft, automobiles, and medical devices, as well as being integrated with electronics to create smart wearable devices. The course is a combination of lectures, demonstrations, laboratories and industry presentations. | 3 |
| CHBE_V 497-E_201 | Engineering Applications of AI and Machine Learning | Introduction to artificial intelligence methods for engineering applications. Students will learn core concepts in data-driven modeling, supervised and unsupervised learning, optimization, uncertainty analysis, and interpretable AI, with applications to engineering, process systems, materials discovery, environmental systems, and autonomous experimentation. The course emphasizes both fundamental understanding and practical implementation, enabling students to analyze engineering datasets, build predictive models, evaluate model reliability, and integrate AI tools with domain knowledge to support engineering design, discovery, and decision-making. | 3 |