Master of Engineering (MEng)

MEng Chemical Engineering

A chemical engineering master's degree from Manchester opens up a world of opportunity.

  • Duration: 4 years
  • Year of entry: 2025
  • UCAS course code: H801 / Institution code: M20
  • Key features:
  • Study abroad
  • Scholarships available
  • Accredited course

Full entry requirementsHow to apply

Fees and funding

Fees

Tuition fees for home students commencing their studies in September 2025 will be £9,535 per annum (subject to Parliamentary approval). Tuition fees for international students will be £36,000 per annum. For general information please see the undergraduate finance pages.

Policy on additional costs

All students should normally be able to complete their programme of study without incurring additional study costs over and above the tuition fee for that programme. Any unavoidable additional compulsory costs totalling more than 1% of the annual home undergraduate fee per annum, regardless of whether the programme in question is undergraduate or postgraduate taught, will be made clear to you at the point of application. Further information can be found in the University's Policy on additional costs incurred by students on undergraduate and postgraduate taught programmes (PDF document, 91KB).

Scholarships/sponsorships

At The University of Manchester we're committed to attracting and supporting the very best students. We have a focus on nurturing talent and ability and we want to make sure that you have the opportunity to study here, regardless of your financial circumstances.

For information about scholarships and bursaries please see our undergraduate fees pages and check the Department's funding pages .

Course unit details:
Computational Methods for Chemical Engineering

Course unit fact file
Unit code CHEN10051
Credit rating 10
Unit level Level 1
Teaching period(s) Semester 1
Available as a free choice unit? No

Overview

The unit will cover the following topics:

Advanced Microsoft Excel for Engineers: Data input, manipulation, and graphical representation; Advanced built-in and user-defined functions; Optimisation, root-finding and non-linear regression using Excel Solver.

Programming with MATLAB: (1) The MATLAB computing environment; Types of variables; Number formats; Mathematical operations; Built-in functions; Graphical display of data. (2) Notion of algorithm; m-files structure; Indentation; Writing programs and user-defined functions; Program debugging; Data input and output. (3) Structured programming with conditional statements and loops (for and while)

Numerical Methods with MATLAB: Roots of equations; One-dimensional and multidimensional optimisation; Systems of linear algebraic equations; Numerical integration; Ordinary differential equations.

Aims

The unit aims to:

Provide the advanced computational skills required for solving complex problems in Engineering and Science.

 

Learning outcomes

On successful completion of CHEN10051, a student will be able to… (1) Develop algorithms to solve numerically mathematical models of physical and chemical systems in Chemical Engineering. (2) Use MS Excel and MATLAB to organise and manipulate numerical data, and represent it graphically. (3) Choose appropriate numerical methods to solve a complex mathematical problem. (4) Translate algorithms into MATLAB codes using structured programming.

Teaching and learning methods

Lectures provide fundamental aspects supporting the critical learning of the module and will be delivered as pre-recorded asynchronous short videos via our virtual learning environment.

Synchronous sessions will support the lecture material with Q&A and problem-solving sessions where you can apply the new concepts. Surgery hours are also available for drop-in support.

Feedback on problems and examples, feedback on coursework and exams, and model answers will also be provided through the virtual learning environment. A discussion board provides an opportunity to discuss topics related to the material presented in the module.

Students are expected to expand the concepts presented in the session and online by additional reading (suggested in the Online Reading List) in order to consolidate their learning process and further stimulate their interest to the module.

Study budget:

  • Core Learning Material (e.g. recorded lectures, problem solving sessions): 24 hours
  • Self-Guided Work (e.g. continuous assessment, extra problems, reading)     : 44 hours
  • Exam Style Assessment Revision and Preparation: 32 hours

Assessment methods

Assessment Types

Total Weighting

Final exam

80%

Online test

20%

Feedback methods

 

Assessment task

How and when feedback is provided

Exam

 

Generic exam feedback form after exam board

Online test on Excel

Final mark only one week after the assessment.

 

Recommended reading

Reading lists are accessible through the Blackboard system linked to the library catalogue.

 

Study hours

Independent study hours
Independent study 44

Teaching staff

Staff member Role
Claudio Pereira da Fonte Unit coordinator

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