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City, University of London

Degree level: Undergraduate

Computer Science Foundation Programme

Course options

2022 - 20232023 - 2024
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This course is not accepting applications at this time. Please contact the provider to find out more.

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Make sure you check on the university, college or conservatoire website for any updates about course changes as a result of COVID-19.

Course summary

This programme is a perfect gateway to studying on one of City’s Computer Science degrees and will suit you if you have an interest in how software technologies are built and work. The Foundation route will allow you to improve your computing skills and acclimatise to University teaching and assessment styles, with a view to joining one of our Computer Science, Games Technology, Cyber Security and Data Science degrees the following year. Although the foundation programme does not confer an official award, successful completion of the Programme will enable entry onto one of City's Computer Science courses, including:

  • BSc Computer Science
  • BSc Computer Science with Games Technology
  • MSci Computer Science
  • MSci Computer Science with Games Technology
  • MSci Computer Science with Cyber Security
  • MSci Data Science.
A range of Computer Science modules will develop your understanding of the fundamentals, your programming skills and building web applications. Mathematics modules will ensure you have the logical and analytic skills for more advanced theoretical Computer Science topics. Finally, you will receive training on basic employability and transferable skills. Elective modules in your third year let you tailor your degree to your developing interests, such as computer vision, AI and advanced game technology.
  • Develop systematic knowledge of computer science, with a focus on how software and programming can be used to solve real-world problems
  • Learn to evaluate solutions to computer science problems
  • Develop commercially valuable skills for your future career
  • Work with City’s internationally renowned research groups to develop knowledge at the forefront of computing science
  • Acquire state-of-the-art approaches to a wide variety of technologies
  • Learn to code creatively and use programming languages accurately
  • Study in City’s computing labs, which include the latest hardware and software, such as state-of-art NVidia GPUs
  • Boost your expertise and employability with an optional one-year work placement
  • Gain three years of professional experience with our innovative Professional Pathway Scheme, combining paid employment and study."

Course details

Modules

In your foundation year you will develop your understanding for the fundamentals of Computer Science with six core modules introducing you to the basics.

  • Introduction to Programming with Python
The aim of this module is to provide you with familiarity of the principles of procedural computer programming. You will learn programming concepts, structures, and methods and be able to design and code simple programs and debug (error correct) them using Python; a high-level computer programming language.
  • Web Development
The aim of this module is to teach you the basic principles that underlie internet applications, as well as techniques and technology used in the design and construction of web sites. You will learn how to construct interactive websites using industry standard technologies such as HTML and CSS, and be able to design and build websites that provide a good user experience.
  • Computer Fundamentals
The aim of this module is to provide you with an introduction to the principles and technologies that underlie computers and computer systems. You will learn how computer hardware and software operates, how information is represented digitally, how to use operating systems and how to use computer systems safely and securely.
  • Discrete Mathematics
The aim of this module is to consolidate your knowledge of the mathematics of objects that are not continuous but can be counted. Topics include the integers (whole numbers), set theory, graph theory and the study and proof of logical statements.
  • Introduction to Probability and Statistics
The aim of this module is to provide you with familiarity of fundamental statistical techniques and an understanding of their application in practice, along with the theory of probability which underlies them.
  • Employability and Transferable Skills
The aim of this module is to help you gain a better understanding of your future career options as a Computer Science student, and to provide you with a toolbox of useful transferable kills, both for choosing and entering a suitable future career and for succeeding in your University studies.

Assessment method

The Foundation Programme employs continuous assessment based around frequent class tests and group work. Students can also expect a higher number of contact hours per week (around 14 hours) in the form of teaching and tutorials, than in the subsequent years of our Computer Science degrees where self-study plays a larger part. The approximate percentage of the course assessment, based on 2018/19 entry is as follows: Foundation year 50% written, 50% coursework.

How to apply

This course is not accepting applications at this time. Please contact the provider to find out more.

26Jan

This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.

Application codes

Course code:
G40F
Institution code:
C60
Campus name:
City, University of London
Campus code:
L

Points of entry

The following entry points are available for this course:

  • Foundation

International applicants

Note that the Foundation route is only open to UK/EU students

Entry requirements

Qualification requirements

We also welcome a combination of qualifications, for example: BTEC National Diploma in a relevant subject with a GCE A-Level as listed AND/OR BTEC Subsidiary Diploma with 2 GCE A-Levels as listed. OCR Technical Qualifications and Cambridge Pre-U (principle subjects) may also be considered.

Unistats information

Operated by the Office for Students
68%
Student satisfaction
68%
Employment after 15 months (Most common jobs)
89%
Go onto work and study

The student satisfaction data is from students surveyed during the Covid-19 pandemic. The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.

Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Computer Science Foundation Programme at City, University of London - UCAS