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BSc Computer Science

Apply by March 4 to secure a spot | Join our webinar here

University of London logo

BSc Computer Science

University of London

Accredited Bachelor's degree

Offered by the University of London

36 - 72 months

23 courses total, 14 - 28 hours per week

100% online learning

Hands-on learning from anywhere, no travel required

£12,701 to £18,887 total degree cost

Tuition varies by geographic location

Flexibility

Choose a study schedule that matches your commitments

Master cutting-edge programming skills and prepare for a high-growth tech career

Whether you’re just beginning your technology journey, or returning to education to change or advance your career, the University of London’s online Computer Science degree will give you all the tools you need to thrive in this ever-changing field.

During this course, you’ll master sought-after programming, mathematical and computing skills through practical project-based modules. You’ll choose a learning path to focus on IT career specialisms such as Data Science, Web and Mobile Development, or Machine Learning and AI. Along with the same applied computing knowledge and expertise you’d receive from studying on-campus, you’ll gain job-ready transferable professional skills, allowing you to solve problems and manage tech projects in almost any industry, including business, finance, education, science, and engineering.

Learning to use a range of programming languages, including Python and C++, you’ll position yourself for a range of exciting roles in an industry that’s expected to grow by 15% this decade (the US). What’s in this degree program?

Complete 23 courses (360 credit hours) accredited by the University of London.
Learn or perfect your use of widely adopted programming languages such as Python, C++, C#, Java Script.
Build your knowledge and skills in a practical, project-based learning environment where you’ll get to develop your own software
Choose a specialism to match your career needs, from machine learning and AI, data science, web and mobile development, UX and more
Specialise in 1 of 7 cutting-edge topics: ML and AI, data science, web and mobile development, physical computing and IoT, game development, VR, or UX.
Create a portfolio of practical research and applications that can be used to demonstrate your expertise and communicate your worth to employers and investors

Applications for April 2024 are open! Apply by March 4 to secure your place.

Attend our webinar: Submitting a complete application and registering for the degree

If you have a question please contact the University of London via the Student Enquiry System.

View the Prospectus; Programme Specification and Schedule of Programme Fees.

Earn credit before you enroll

When you complete these programs, you can earn college credit if you are admitted and enroll in the degree program.¹

¹Each university determines the number of pre-approved prior learning credits that may count towards the degree requirements according to institutional policies.

Make progress before you enroll

These courses are part of this degree program. If you are admitted and enroll in the degree program, your coursework can count toward your degree learning and your progress can transfer with you.

Applications are open!

Apply by March 4 to secure your place on the April 2024 cohort.

Apply now

Accredited Bachelor's degree

Offered by the University of London

36 - 72 months

23 courses total, 14 - 28 hours per week

100% online learning

Hands-on learning from anywhere, no travel required

£12,701 to £18,887 total degree cost

Tuition varies by geographic location

Flexibility

Choose a study schedule that matches your commitments

Accredited Bachelor's degree

Offered by the University of London

36 - 72 months

23 courses total, 14 - 28 hours per week

Master cutting-edge programming skills and prepare for a high-growth tech career

Whether you’re just beginning your technology journey, or returning to education to change or advance your career, the University of London’s online Computer Science degree will give you all the tools you need to thrive in this ever-changing field.

During this course, you’ll master sought-after programming, mathematical and computing skills through practical project-based modules. You’ll choose a learning path to focus on IT career specialisms such as Data Science, Web and Mobile Development, or Machine Learning and AI. Along with the same applied computing knowledge and expertise you’d receive from studying on-campus, you’ll gain job-ready transferable professional skills, allowing you to solve problems and manage tech projects in almost any industry, including business, finance, education, science, and engineering.

Learning to use a range of programming languages, including Python and C++, you’ll position yourself for a range of exciting roles in an industry that’s expected to grow by 15% this decade (the US). What’s in this degree program?

Complete 23 courses (360 credit hours) accredited by the University of London.
Learn or perfect your use of widely adopted programming languages such as Python, C++, C#, Java Script.
Build your knowledge and skills in a practical, project-based learning environment where you’ll get to develop your own software
Choose a specialism to match your career needs, from machine learning and AI, data science, web and mobile development, UX and more
Specialise in 1 of 7 cutting-edge topics: ML and AI, data science, web and mobile development, physical computing and IoT, game development, VR, or UX.
Create a portfolio of practical research and applications that can be used to demonstrate your expertise and communicate your worth to employers and investors

Earn credit before you enroll

When you complete these programs, you can earn college credit if you are admitted and enroll in the degree program.¹

¹Each university determines the number of pre-approved prior learning credits that may count towards the degree requirements according to institutional policies.

Make progress before you enroll

These courses are part of this degree program. If you are admitted and enroll in the degree program, your coursework can count toward your degree learning and your progress can transfer with you.

Applications for April 2024 are open! Apply by March 4 to secure your place.

Attend our webinar: Submitting a complete application and registering for the degree

If you have a question please contact the University of London via the Student Enquiry System.

View the Prospectus; Programme Specification and Schedule of Programme Fees.

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Choose your path: Direct entry or Performance-Based Admissions

Whether you have entry qualifications or experience working in a computer science field, earning a Bachelor's degree in Computer Science can help accelerate your career. If you do not have the standard entry requirements for the bachelor’s degree in Computer Science the University of London welcomes applications for the via the Performance-Based Admissions route.

To qualify for Performance-Based Admissions you need a minimum of four GCSEs or a High School Diploma (or equivalent) and relevant work experience. If you gain Performance-Based entry to the degree, you’ll also need to achieve a pass (40% weighted average or higher) in two of the following core modules to remain on the course: Programming I, Computational Mathematics or Discrete Mathematics. You do not need to complete these courses before you enrol, they will simply form part of your first term studying the degree.

Unsure which entry route is best for you? Simply apply via direct entry. If you don’t meet direct-entry criteria, your application will automatically be considered for Performance-Based Admission.

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Flexible, pay by module tuition lets you take on the right balance for your lifestyle

  • £12,701 to £18,887 tuition total With flexible payment options, you can pursue a high-quality education at the pace you choose.
  • Pay per module Tuition is paid by module on a pay-as-you-go basis equally across six terms. If you need to pause your coursework for a term, you won’t be charged for that term.
  • Funding your studies You may find potential sources of funding and scholarships here.

Applications are open!

Apply by March 4 to secure your place in the April 2024 cohort.

Prepare for this degree

These courses may provide you with a preview of the topics, materials and instructors in a related degree program which can help you decide if the topic or university is right for you.

Applications are open!

Apply by March 4 to secure your place in the April 2024 cohort.