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International Foundation Programme for Computer Science

Applications are open!

University of London logo

International Foundation Programme for Computer Science

University of London

Applications are open!

Applications for the July 2025 cohort are now open. Apply now or express interest to get started.

Apply now

International Foundation Programme for Computer Science

Offered by the University of London

Get degree-ready

On successful completion of this programme, students will be offered a place on the UoL online BSc Computer Science degree on Coursera

£4,500 total cost

With flexible pay by module tuition, you’ll only pay for the current module you’re studying.

6 - 36 months

Complete the course in as little as six months - or study at a pace that suits you, with up to three years to complete the programme.

100% online

Lecture videos, live sessions, group feedback sessions, and connection with instructors and peers.

Academics

Get degree-ready, with foundational skills in programming, mathematics and statistics

The International Foundation Programme (IFP) for Computer Science gives you the knowledge and skills you need to progress to the University of London’s online BSc Computer Science degree.

You’ll gain valuable hands-on programming experience, using Python to gain understanding of loops, variables, data types and functions. Using Tableau, you’ll learn to tell stories with data, creating and customising dashboards to communicate with a range of audiences. You’ll also learn to apply statistical analysis tools like causal models and inference methods to solve real-world problems.

With extensive experience in distance learning since 1858, you’ll enjoy engaging, hands-on competency-based learning modules created using UoL’s unique CAFE (content, activity, feedback, evaluation) methodology.

To give you the best possible preparation for your subsequent degree programme, the IFP for Computer Science also provides a computing-specific academic skill building component. This module will increase your data literacy and ensure your ability to create properly referenced critiques and arguments, drawing on a range of academic texts and other research sources.

Through the University of London’s comprehensive approach, you’ll also be able to fill any gaps in your mathematics knowledge so that you can successfully progress onto the online BSc Computer Science degree.

Flexibility
Work through the programme on your own time - with up to three years to complete the programme, you’ll have the flexibility to choose and vary your course load.
Programme length
Complete this course in as little as six months, and fast-track your progression to the University of London’s online BSc Computer Science.
Live sessions and virtual office hours
Ask questions and get answers, with feedback and learning reinforcement from your online tutor and peers through Zoom, group sessions and discussion forums.
Learn on mobile
Take your studies on the go with mobile-friendly learning on iOS and Android (some assignments can’t be completed on a mobile device).

Applications for July 2025 are now open!

Interested in learning more? Catch up on our latest webinar with University of London faculty. Watch the recording now.

To join this programme, you must be age 18+ by 31 December in the year of registration.

⏰ Important Dates for July 2025:

  • Application deadline June 2
  • Registration deadline June 16
  • Classes start June 30

Applications for July 2025 are now open!

Interested in learning more? Catch up on our latest webinar with University of London faculty. Watch the recording now.

To join this programme, you must be age 18+ by 31 December in the year of registration.

⏰ Important Dates for July 2025:

  • Application deadline June 2
  • Registration deadline June 16
  • Classes start June 30
[Featured image] A white hat hacker works on a computer in an office.

Degree Structure

Required Courses (8 units): Each concentration will have a defined set of 8 required courses, allowing you to go deep into your desired areas of study.

Elective Courses (14 units):  Fill in the rest of your course of study with 14 electives from across the curriculum, allowing you to broaden your engineering education and prepare yourself for modern engineering challenges. 

Capstone Project (2 units): Your final course in the master’s program will be MAS-E's unique, interdisciplinary capstone project. You will create a powerful example of your expert skill set, experience, and technical understanding that you can showcase when applying for engineering roles.

Customize your degree with the MAS-E Degree Planner

[Featured image] A white hat hacker works on a computer in an office.

Curriculum

Required Courses:

  • Techniques for Electronic Devices Fabrication
  • Human Centered Design Methods I
  • Electronic Properties of Materials
  • Introduction to Structural Materials
  • Development of Modern Materials for the Microelectronics Industry
  • Optimization of engineering systems
  • Quantum physics for semiconductor engineers
  • Development of Modern Materials for the Microelectronics Industry

Required Courses:

  • Techniques for Electronic Devices Fabrication
  • Human Centered Design Methods I
  • An Introduction to Continuum Mechanics and Modern Applications
  • Introduction to Structural Materials
  • Manufacturing in a Climate Emergency
  • Development of Modern Materials for the Microelectronics Industry
  • Quantum physics for semiconductor engineers
  • Development of Modern Materials for the Microelectronics Industry

Required Courses:

  • Principles of Modern Ocean Engineering
  • Engineering a Net-Zero Carbon Future
  • Manufacturing in a Climate Emergency
  • Nuclear Energy and the Environment
  • Earthquake-Induced Soil Liquefaction
  • Introduction to Structural Materials
  • Renewable Energy Systems
  • Wildland Fire Engineering

Required Courses:

  • Human Centered Design Methods I
  • Flying Robots: from Small Drones to Aerial Taxis
  • Analysis and Control of Nonlinear Systems
  • Legged Robots: How to Make Robots Walk & Run
  • Optimization of engineering systems
  • The Digital Transformation in Industry
  • Applied Data Science for Engineers
  • Python for Engineers

Applications are open now!

Apply now to secure your spot