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

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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 Programming 1

Course unit fact file
Unit code COMP16321
Credit rating 20
Unit level Level 1
Teaching period(s) Semester 1
Available as a free choice unit? Yes

Overview

This course introduces the basic concepts of imperative computer programming using the Python language. The basic principles of becoming a good programmer will be taught through two lectures a week, one in a ‘TED-talk’ style and the second being a live coding session. In addition there are weekly offline workshops designed to test your logical thinking and problem solving, and finally, a weekly laboratory session giving you a chance to put all of your new skills into practice.

 

Pre/co-requisites

Unit title Unit code Requirement type Description
Introduction to Programming 2 COMP16412 Co-Requisite Compulsory
COMP16321 has co-requisite of COMP16412

Aims

By the end of this course unit students will be able to:

  • Write simple python programs using best practice methods
  • Optimise & correct a pre-existing code base
  • View and complete programming tasks in a logical manner

 

Learning outcomes

  • Explain basic programming constructs and describe their manifestation in different programming languages.                              
  • Explain what a given (simple) program does.
  • Design programs to solve given (simple) problems.
  • Implement maintainable solutions to problems using appropriate development tools.
  • Evaluate the quality of code (correctness, maintainability, efficiency).
  • Estimate the development time needed to implement a solution to a problem.
  • Identify appropriate programming resources (tools, libraries) needed to implement a solution to a problem.  

 

 

Syllabus

Week 1: Variable, Types and State
Week 2: Iteration
Week 3: Selection
Week 4: File Handling
Week 5: Creating Functions
Week 6: Reading Week
Week 7: Packages and Libraries
Week 8: Graphics and Key Binding
Week 9: Validation and Exceptions
Week 10: Searching and Sorting Algorithms
Week 11: General Introduction to OOP
Week 12: Revision Week

Teaching and learning methods

Lectures:

22 in total, 2 per week

Workshops:

12 in total, each one hour long, run as an offline session designed to enhance your skills as a programmer

Laboratories:

12 in total, each is a two-hour session assisted by an academic and TAs. Labs are formatively assessed and are designed to aid with coursework in this course unit.

 

Assessment methods

Method Weight
Written exam 50%
Practical skills assessment 50%

Feedback methods

Formative feedback during workshops, laboratories and MCQs. Summative feedback with assessments.

Recommended reading

TBC

Study hours

Scheduled activity hours
Lectures 22
Practical classes & workshops 24
Independent study hours
Independent study 154

Teaching staff

Staff member Role
Gareth Henshall Unit coordinator

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