5 Years On Campus Dual-bachelors Program
This dual degree at the University of Newcastle is ideal if you enjoy both problem-solving and analytical thinking, combining chemical engineering with advanced mathematics. You’ll learn how to design efficient industrial processes while using mathematical models and data-driven approaches to solve complex real-world challenges.
Curriculum Structure
Year 1 – Building Core Foundations
You’ll start with subjects like Calculus, Linear Algebra, and Introductory Chemistry, alongside engineering fundamentals. This year focuses on strengthening your analytical thinking and understanding how maths supports engineering applications.
Year 2 – Engineering Principles & Mathematical Depth
You’ll move into core engineering topics such as Thermodynamics, Fluid Mechanics, and Heat Transfer, while continuing mathematics with units like Differential Equations and Probability. This is where you begin linking mathematical theory to physical systems.
Year 3 – Process Engineering & Modelling
Your studies expand into Reaction Engineering, Mass Transfer, and Process Systems Engineering, alongside applied maths like Numerical Methods and Mathematical Modelling. You’ll start solving complex engineering problems using data and computational techniques.
Year 4 – Advanced Systems & Data-Driven Engineering
You’ll explore Process Design, Control Systems, and Sustainable Engineering, while deepening your maths knowledge in areas like Statistical Modelling and Optimisation. This stage focuses on designing efficient, data-informed engineering solutions.
Year 5 – Integration & Specialisation
In your final year, you’ll complete advanced design projects and research-based work, applying both engineering and mathematical skills. You’ll tackle real-world challenges that require both technical understanding and strong analytical reasoning.
Focus Areas (in a string):
Thermodynamics, fluid mechanics, heat and mass transfer, reaction engineering, process systems, mathematical modelling, optimisation, statistics, computational methods
Learning Outcomes (in a string):
Design and optimise chemical processes, apply advanced mathematical modelling to engineering systems, analyse complex data and systems, solve multidisciplinary problems, develop efficient and sustainable engineering solutions
Professional Alignment (Accreditation):
Accredited engineering qualification aligned with professional standards, supporting pathways toward recognition as a professional engineer with global mobility
Reputation (Employability Rankings):
Recognised for strong outcomes in engineering and mathematics, with graduates benefiting from high employability and demand in data-driven and engineering-focused industries
What makes this program at the University of Newcastle stand out is how hands-on and applied it is. You won’t just learn theory—you’ll actively work in chemical engineering labs, use mathematical modelling to solve real problems, and take part in projects that reflect what engineers actually do in industry. On top of that, you’ll complete 12 weeks of professional experience, so you graduate with real workplace exposure.
As you move through the degree, your learning becomes more practical, technical, and industry-focused:
By the time you finish, you won’t just understand the theory—you’ll have already applied it in real situations, which gives you a big advantage when starting your career.
By the time you graduate, you’ll have a powerful combination of engineering expertise and advanced analytical skills, which is highly valued across industries like energy, data, consulting, and manufacturing. This opens up career paths such as Chemical Engineer, Process Engineer, Data Analyst, or Quantitative Analyst, giving you flexibility to move into both technical and data-driven roles.
What really strengthens your career prospects at the University of Newcastle is the support and industry focus built into the degree:
Further Academic Progression:
If you want to specialise further, this degree gives you strong pathways into postgraduate study. You could pursue a Master’s in Chemical Engineering, Applied Mathematics, Data Science, Engineering Management, or Finance, or continue into research with a PhD. The blend of engineering and mathematics also makes it easier to move into emerging areas like AI, optimisation, and advanced analytics.



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