Skip navigation
You are viewing our beta course page.

Computer Science with AI with Foundation Year

1 Study option · UndergraduateMain Site
Awarded by:
University of London

Course summary

The BSc Computer Science with AI is a cutting-edge course ideal if you are eager to explore the transformative power of artificial intelligence. It offers you a unique blend of foundational computer science principles and advanced AI techniques, to help ensure you are well prepared to tackle the challenges of tomorrow.

Why choose this course?

  • You will develop your technical skills and gain the knowledge and expertise you need to create innovative AI-driven solutions to complex problems. You will undertake an extensive final-year project allied to the software industry which will solidify these skills and help you develop further transferable skills that will prove highly valuable in your future career.

  • Our faculty includes experts who work at the forefront of AI research and development, bringing their cutting-edge knowledge and experience into the classroom. This ensures that you receive the most up-to-date education and insights into the rapidly evolving world of AI.

  • Our state-of-the-art facilities and strong industry partnerships provide opportunities for internships, collaborative projects and networking with leading professionals in the field.

What you will learn

What sets this computer science with AI course apart is its distinctive curriculum that covers topics ranging from algorithms and data structures to machine learning, neural networks and natural language processing. You will also gain hands-on experience with the latest AI tools and technologies, working on real-world projects that address current industry needs.

How you will learn

This course has a day and evening timetable. You can attend either afternoon or evening classes for some of your modules, or attend all of your classes in the evening. Teaching may include lectures, seminars, tutorials and practical classes with many of the computing modules involving laboratory-based exercises. Lectures are recorded and materials are made available online.

For the majority of the programming modules we adopt a 'flipped classroom' approach, where you watch short videos and undertake reading before the class.

Foundation Year

If you opt for the Foundation Year route, this will fully prepare you for undergraduate study. It is ideal if you are returning to study after a gap, or if you have not previously studied the relevant subjects, or if you didn't achieve the grades you need for a place on your chosen undergraduate degree.

Highlights

  • You will study at our Bloomsbury campus in the heart of London, a city fast becoming one of the major European hubs for AI research and development.

  • Birkbeck was ranked in the top 25 universities in the UK for its Computer Science and Informatics research in the 2021 Research Excellence Framework.

  • Birkbeck established one of the first computing departments in the UK in 1957 and was a pioneer in database technologies, e-commerce and data science studies.

  • We have modern computing laboratories, with a total of 133 workstations. The labs have projection facilities and are air-conditioned. Our wide range of software runs on a number of platforms including Unix, Windows and Linux. The local area network is a switched gigabit/10gigabit ethernet. Our computers are connected to the SuperJANET academic network.

Careers and employability

On successful completion of this BSc, you will have gained an array of transferable skills, including the ability to:

  • critically evaluate arguments and evidence

  • formulate solutions employing AI as a key element of a computing system

  • analyse, appraise and present work under pressure

  • communicate efficiently using appropriate interpersonal skills.

This course opens doors to a range of careers in the tech and AI industry such as:

  • programmer

  • software engineer

  • database/systems administrator

  • testing and software quality engineer

  • cyber security analyst

  • web developer

  • games developer

  • IT consultant.

How to apply

Application codes

Course code:
I106
Institution code:
B24

Open days

Historical entry grades data BETA

This section shows the range of grades students (with UK A-Levels or Pearson BTEC Level 3 National Extended Diplomas) who received offers were previously accepted with (learn more). It is designed to support your research but does not guarantee whether you will or won't get a place. Admissions teams consider various factors, including interviews, subject requirements, and entrance tests. Check all course entry requirements for eligibility.

Not enough data available

We are unable to show previous accepted grades for this course. This could be because the course is new, it's a postgraduate course, there isn't enough historical data, or the provider has opted out of sharing their entry grades data for this course - learn more.

Student Outcomes

Operated by the Office for Students

60 Employment after 15 months (Most common jobs)

80 Go onto work and study

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

Choose a specific option to see funding information.

Course options
Like this page