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Course summary

Develop a specialist understanding of the key conceptual and technological issues in artificial intelligence and data science computation. Why study BSc Computer Science (Artificial Intelligence and Data Science) In this BSc Computer Science pathway, you'll develop and understand cutting-edge machine learning models, alongside their implications. You'll be able to:

  • Understand the theoretical underpinnings and implementation of machine learning.
  • Apply datasets to a range of models including deep learning neural networks.
  • Apply models to a range of divergent problems.
  • Consider the ethical and social implications of a model’s deployment.
  • Appreciate a model’s validity and limitations.
  • Extract useful information from large corpuses of data, using software mining techniques.
Computer Science pathways As well as BSc Computer Science (Artificial Intelligence and Data Science), we offer several pathways that allow you to focus on the following specialisms:
  • BSc (Hons) Computer Science
  • BSc (Hons) Computer Science (Cybersecurity)
  • BSc (Hons) Computer Science (Software Engineering)
  • BSc (Hons) Computer Science (User Experience)
Create your own projects The degree is hands-on and practical from the start. You'll be creating your own web and mobile applications, data visualisations, and games. You'll also explore your potential through practical projects whilst learning relevant technical skills for your future career. Placements In your third year, you’ll have the opportunity to take a full-year industry placement (making this programme four years full-time, or seven years part-time). This gives you valuable experience to build confidence, further develop skills and industry insight, and enhance your career prospects. By the end of your degree, you’ll have built a portfolio of work to kickstart your career in the creative industry. MSci study route Depending on your academic results, you’ll also have the opportunity to continue your studies to MSci level. This will give you an undergraduate master’s level qualification, and let you delve deeper into your chosen specialism. You can find out more about the MSci study route in the programme specification.

Modules

Year 1 In your first year, you'll take the following compulsory modules: Introduction to Programming User Experience and the Web Logic and Computer Architecture Computing Project 1 Graphics 1 Algorithms 1 Identity, Agency & Environment 1 Identity, Agency & Environment 2 Year 2 In your second year, you'll take the following compulsory modules: Software Development and Design Computing Project 2 Object Oriented Programming Data Programming for Artificial Intelligence Algorithms 2 The Goldsmiths Elective Optional modules You'll then take 2 optional modules from the following list: Networks and Operating Systems 15 credits Information Security 15 credits Goldsmiths’ Social Change Module 15 credits Optional placement year Our degrees include an optional industrial placement year after the second year of study. You'll be responsible for securing a placement, but we can support you through this process. Although we encourage you to take the opportunity of a placement year, you can also complete your degree in three years. Year 3 (or year 4 with placement year) In your final year, you'll complete the following compulsory modules, including a project Computer Science: Final Project in Computer Science Artificial Intelligence Neural Networks Machine Learning Data Mining You'll then use your remaining 15 credits to take an optional module from a list provided annually by the Department of Computing. *Please note that due to staff research commitments not all of these modules may be available every year.

Assessment method

You’ll be assessed by a variety of methods, depending on your module choices. These include coursework, examinations, group work and projects. If you opt for an industrial placement year, your placement tutor will assess your work. If you complete the placement year successfully, you earn the endorsement 'with work experience' on your degree certificate.


How to apply

Application codes

Please select a course option – you will then see the application code you need to use to apply for the course.

Points of entry

The following entry points are available for this course:

  • Year 1

Entry requirements

Qualification requirements

If you do not have a Science or Mathematics-based A-level equivalent, you should normally have at least Grade B/Grade 6 at GCSE Mathematics.


English language requirements

TestGradeAdditional details
IELTS (Academic)6With no element lower than 5.5

Unistats information

Operated by the Office for Students
No data
Student satisfaction
57%
Employment after 15 months (Most common jobs)
77%
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

To find out more about fees and funding, please check our undergraduate fees guidance or contact the Fees Office https://www.gold.ac.uk/ug/fees-funding/
Computer Science (Artificial Intelligence and Data Science) at Goldsmiths, University of London - UCAS