Bachelor of Science (BSc)

BSc Computer Science and Mathematics with Industrial Experience

Graduate this highly sought-after subject combination having already gained invaluable experience in industry.
  • Duration: 4 years
  • Year of entry: 2025
  • UCAS course code: GG41 / Institution code: M20
  • Key features:
  • Industrial experience
  • Scholarships available

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

The University of Manchester is 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 visit our  undergraduate student finance pages .

Course unit details:
Introduction to Ordinary Differential Equations

Course unit fact file
Unit code MATH11412
Credit rating 10
Unit level Level 1
Teaching period(s) Semester 2
Available as a free choice unit? No

Overview

The unit provides a basic introduction to ordinary differential equations (ODEs) and some applications. The course will discuss both methods, including analytical as well graphical and approximate methods associated with general first and second order ODEs. Applications including simple problems drawn from many fields including Newtonian mechanics, population models, economics, biology, will be introduced, and the corresponding equations will be written down and their solutions discussed.

Aims

The unit provides a basic introduction to ordinary differential equations (ODEs) and applications. The course will discuss both methods, including analytical as well graphical and approximate methods associated with general first and second order ODEs. Applications including simple problems drawn from many fields including Newtonian mechanics, population models, economics, biology, will be introduced, and the corresponding equations will be written down and their solutions discussed.

The main aims are to:

  1. Provide a classification of ODEs
  2. Provide analytical methods of solving both first and second-order ODEs;
  3. Introduce approximate methods (graphical, numerical, approximate) for solving first order and systems of first order equations.
  4. Introduce model problems leading to ODEs.

Learning outcomes

On the successful completion of the course, students will be able to:

  • Classify ODEs (in terms of order, linear/nonlinear autonomous/nonautonomous, initial or boundary value problem) and assess the existence and uniqueness of their solutions.
  • Select and apply techniques for finding analytical solutions for several classes of first and second order ODEs.&
  • Locate equilibrium points for first order systems of ODEs and perform phase plane analysis.&
  • Apply and interpret the results of a simple numerical method (the Euler method) for approximately solving initial value problems.

Assessment methods

Method Weight
Other 30%
Written exam 70%

Feedback methods

There are supervisions each week for the first half of the semester which provide an opportunity for students; work to be marked and discussed and to provide feedback on their understanding. Coursework or in-class tests (where applicable) also provide an opportunity for students to receive feedback. Students can also get feedback on their understanding directly from the lecturer, for example during the lecturer's office hour.

Recommended reading

Farlow - Introduction to Differential Equations and Their Applications  

Martin Braun (1993), Differential Equations and Their Applications, 4th edition, Volume 11 of Springer Texts in Applied Maths. DOI: 10.1007/978-1-4612-4360-1 

A good reference for extra reading is Trefethen, Birkisson, Driscoll – Exploring ODEs  (https://people.maths.ox.ac.uk/trefethen/ExplODE/) 

Study hours

Scheduled activity hours
Lectures 18
Tutorials 6
Independent study hours
Independent study 76

Teaching staff

Staff member Role
Marcus Webb Unit coordinator
Gareth Wyn Jones Unit coordinator

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