Jointly offered by SIT and the University of Glasgow (UofG), the Bachelor of Engineering with Honours in Aerospace Engineering is a three-year honours degree programme that will equip students with the specific skill set necessary to meet the growing manpower demands in the local and global aerospace industry with a specific emphasis on autonomous aerial vehicles.
Students will be equipped with sound foundations in engineering through appropriate mathematics and physics courses, upon which specific unmanned aerial systems knowledge will be built. The programme also includes a mandatory Overseas Immersion Programme (OIP), during which students will undertake a group project as well as witness industry best practices through industrial site visits in Glasgow.
In the last year of the degree programme, students will get to apply the theoretical knowledge gained and refine their technical skills through an eight-month Integrated Work Study Programme (IWSP) in local and overseas companies, working in the areas of unmanned systems and aerospace engineering.
Graduates from the programme will be equipped with knowledge of wireless communication, RF engineering, guidance and navigation systems, signal processing, unmanned propulsion systems, data analytics, risk and reliability and aviation legislation. They will be innovative individuals who are able to apply their technical and practical knowledge in the development of novel approaches, solutions and implementations of unmanned aerial systems.
Eligibility and Exemption
Diploma holders from any of the five local polytechnics, A level / IB Diploma graduates are welcome to apply.
Subject to approval, diploma applicants may be granted module exemptions, based on the modules taken during their diploma.
A-Level / IB Diploma Prerequisites:
Obtained a good pass in one H1/H2 or SL/HL Mathematics and also a good pass in one H1/H2 or SL/HL Physics.
Graduates can look forward to careers in these areas:
Through this module, you will build a strong mathematical foundation that will be applied in advanced engineering modules further in this course of study.
You will gain an understanding of the fundamental principles of Newtonian physics through this module.
Learn about kinematics, Newtonian mechanics, energy principles, impulse and collisions, rotational motion and thermodynamics.
Through this module, you will apply the principles of engineering mechanics to determine the elastic behaviour of members and components that are subjected to various forms of external forces.
You will gain an understanding of key fundamentals in electronics and circuits through this module.
Through this introductory module, you will acquire basic programming skills and an overview of programming paradigms.
Through this module, you will gain knowledge in and apply the conventional drawing and presentation methods of 2D drawings and 3D computer models to communicate a design idea.
Through this module, you will get acquainted with vector/matrix and inverse matrix operations.
Master and apply the concepts of the solution of series, ordinary differential equations, operation of functions with multiple variables, linear algebra, and partial differentiation.
Through this module, you will grasp important fluid mechanics concepts, including dimensional analysis that underlie many engineering applications.
Appreciate and apply the fundamental methods of fluid mechanics in both static and dynamic situations.
Through this module, you will learn how to model and analyse dynamic systems with a specific focus on free and forced oscillations.
Through this module, you will learn and employ the techniques used to model engineering systems and understand the factors influencing the steady-state and dynamic response of practical systems.
Sharpen your written and oral communication skills in presenting academic and technical information through the insights imparted during this module.
Through this introductory module, you will gain a holistic overview of the field of aerospace engineering.
Through this introductory module, you will master the essential concepts in probability theory and statistics.
Through this module, you will gain a robust theoretical framework for the development of concepts of aircraft performance.
Through this module, you will master the basics of flight physics and holistically apply various concepts ranging from aerodynamics and propulsion to arrive at a basic flight simulation environment.
Through this module, you will acquire an understanding of the aerodynamic behaviour for both 2D and 3D wings and apply it through computational methods.
Through this module, you will get acquainted with commonly used simulation tools and numerical methods employed in engineering systems.
Through this module, you will master mathematical modelling and simulation within the context of fixed-wing aircraft.
Through this module, you will gain exposure to the propulsion of aircraft and various models of unmanned aerial vehicles (UAVs).
Through this module, you will gain an understanding of advanced control techniques of dynamics systems. The application of these methods in the aerospace sector will be studied.
Through this module, you will learn how to use common software engineering processes to design complex computer systems.
Through this module, you will develop career and professional skills to meet the demands of today’s workplace.
Through this module, you will develop familiarity with the analysis of metallic airframe structures and appreciate current manufacturing technologies and their influence on material selection and component design.
This module develops the students understanding of Availability, Reliability, Maintainability thereby enhancing the students' ability to evaluate design proposals from a number of related viewpoints. To illustrate and develop an understanding of robust design from functional performance and manufacture viewpoints. To expose students to the discipline involved in researching a technical area and produce a report and presentation.
Computational approaches to working with numerical data on a large scale. Computation on arrays of continuous variables underpins machine learning, data analytics, and signal processing. Vectorised operations on numerical arrays, fundamental stochastic and probabilistic methods and scientific visualisation. Manipulating continuous data, specifying problems in a form that can be solved numerically, dealing with unreliable and uncertain information, and communicating these results. Operations on vectors and matrices, specifying and solving problems via numerical optimisation, time series modelling, scientific visualisation and basic probabilistic computation.
This is an intensive 3-week group design project where students will take as an overseas immersion programme (OIP) at UoG. The project based subjects in which students are required to undertake as group projects will cover both the conceptual and detailed aspects of design. It involves different areas of the civil engineering discipline such as ground investigation, planning, transportation design, social, foundation design, structural design, and buildability of the construction.
This is an uninterrupted 8-month duration (2 trimesters) structured learning and work programme which will provide students with unique learning opportunities to achieve the following objectives, i.e. (1) applied learning – integration of theory and practice, acquisition of specialist knowledge and development of professional skills, (2) exposure to real-world conditions - appreciation of real-world constraints in respective industry contexts to develop skills of adaptability, creativity and innovation, and (3) smooth transition to jobs - practical experience which shortens work induction period.
Students will have the opportunity to develop innovative solutions for the design, research, development and integration projects they are working on. In this way, the IWSP will be a key platform to inculcate the SIT-DNA in every student.
Final year students will carry out the project work from any discipline within aerospace engineering. The project will focus on computational analysis and design, integration and R&D. Students would ideally start their capstone project during the IWSP and carry it out with the guide of IWSP work supervisor. The project duration is over the entire academic year. An individual formal report is required. Each student is required to make an oral presentation.
This course is designed to address several aspects of professional practice for engineering students to aid their transition into employment. It exposes students to organisational structures, objectives, governance, business evaluation of new products or services, analysis of new product ideas against market demands, and product development lifecycles. Engineering economics, appropriate use of standards, project management techniques and processes, including risk management are also covered. In addition, it provides students exposure to different engineering roles within an organisation and how they influence the overall business direction through strategic and operational planning.
This course aims to develop familiarity with numerical finite-element methods of structural analysis and apply them to the simulation of the behaviour of beams, plates and shells, which form the components of airframe structures.
The course extends the analytical stiffness matrix methods of structural analysis taught in earlier years to the minimum mass design of aerial vehicles under complex loading, through thermo-mechanical tailoring of composite materials to optimize stiffness, strength and buckling performance. Commercial software will underpin design and simulation projects for composite components which will be validated through manufacture and test.
The module begins with the Fourier method of signal analysis and processing in linear systems, which includes the basic principles of signals and communication systems by means of spectral analysis.
Using Fourier method as the basic tool as well as the circuit analysis and filter knowledge, the complete picture of analogue amplitude and angle modulation will be covered including both the generation and detection techniques.
Digital modulation methods as well as its application in satellite communication will be briefly introduced.
Flight Systems equips the students with the theory and practical skills to enable autonomous operation of flight vehicles. The module explains the use of modern inertial, position and vision sensors to estimate the position and flight direction of the vehicle. This provides the starting point to subsequently explore different guidance and control techniques to enable flight path generation and following, obstacle avoidance and disturbance rejection of modern unmanned aerial systems. Practical laboratory sessions will provide the students with the hands-on skills to implement a flight control system on a conventional quadcopter.