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Engineering Pathway

Engineering Module Outline

This pathway for students who want to progress to Engineering based degrees with the potential for Maths and/or Computer Science degrees.

Entry requirements

The IELTS requirements will be 6.0 with 5.5 minimum for each component on entry. Students must also pass the UFP Science maths entry test and ideally have grade 7 (B/A) or above in GCSE maths or equivalent. Students must have completed Physics at GCSE or equivalent with C grade or above (Computer science qualification not required).

Core modules

  • English for Academic Purposes (EAP)

Academic modules

Pure Maths

Linear, quadratic and cubic equations, Differentiation of simple algebraic functions, Integration of simple algebraic functions.

Maths: Mechanics

Algorithms and graph theory, allocation problems, game theory, statistics.

Physics: Mechanics

Scalar and vector quantities, Newton’s laws of motion, friction, drag, and terminal velocity, principles of statics, including moments and torques, kinetic and potential energies, circular motion and centripetal force, simple harmonic motion and resonance.

Physics: Electricity and Magnetism

Ohm’s law and resistance, electromotive force and potential difference, Kirchhoff’s laws to DC circuits, electric fields and Coulomb’s law, magnetic fields and apply Fleming’s left-hand rule, electromagnetism and Faraday’s law, gravitational fields and Newton’s law of gravitation.

Optional modules (Chemistry or Computer Science)

Physical and Organic Chemistry

Energetics, rates of reaction and equilibrium, reactions of organic compounds.

Physical and Inorganic Chemistry

Atomic structure and the periodic table, redox reactions and group chemistry.

Computer Science Theory

Boolean logic, truth tables, and binary arithmetic, data representation including the use of 7‑bit ASCII encoding and the construction of bitmap images, Artificial Intelligence and Large Language Models, cybersecurity fundamentals.

Computer Science Programming

Develop, debug, and refine high level programming code by applying problem solving techniques, variables, control structures, data types, and subprograms—to design, implement, and systematically test algorithms, incorporating robust input/output operations and file handling with appropriate data validation.

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