Institute Name : Goldsmiths University of London

Course Name : BSc (Hons) Computer Science (Artificial Intelligence and Data Science)

Course Type : Undergraduate

Education Level : 4,5,6

Duration : 3 Years

Method of Delivery : On Campus

Pre Requirements : We accept the following qualifications: A-level: BBB BTEC: DDM International Baccalaureate: 33 points overall with Three HL subjects at 655 Access: Pass with 45 Level 3 credits including 30 Distinctions and a number of merits/passes in subject-specific modules Scottish qualifications: BBBBC (Higher) or BBC (Advanced Higher) European Baccalaureate: 75% Irish Leaving Certificate: H2 H2 H2 H2 Additional requirements If you do not have a Science or Mathematics-based A-level, you should normally have at least Grade B/Grade 6 at GCSE Mathematics. If you are a University of London student of Computing you may transfer onto the second or third year of this degree. International qualifications We also accept a wide range of international qualifications. Find out more about the qualifications we accept from around the world. If English isn’t your first language, you will need an IELTS score (or equivalent English language qualification) of 6.0 no element lower than 5.5 to study this programme. If you need assistance with your English language, we offer a range of courses that can help prepare you for degree-level study.

Language Level : B2

Visa Type : 40

Application Fee : None

Academic Deposit : None

Fees : £TBC Annual

Intakes : September

Course Description :

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) Data 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.