BSc (Hons) Computer Science (Artificial Intelligence & Data Science)
Program Overview
BSc (Hons) Computer Science (Artificial Intelligence & Data Science)
Overview
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 & Data Science) at Goldsmiths?
- Develop and understand cutting-edge machine learning models, alongside their implications.
- Develop key skills in applying datasets to a range of models including deep learning neural networks, and applying models to a range of divergent problems.
- Explore the ethical and social implications of the deployment of machine learning models, and consider their limitations and validity.
- Learn how to extract useful information from large collections of data, using software mining techniques.
- The degree is hands-on and practical from the start. You'll be creating your own web and mobile applications, data visualisations, and games.
Entry Requirements
- A-level: BBB
- BTEC: DDM
- IB: 33 points overall with Three HL subjects at 655
Length
- 3 years full-time
- 4 years full-time with a placement year
- 6-8 years part-time
Fees
- Home - full-time: £9535
- Home - part-time: £TBC
- International - full-time: £21200
Department
- Computing
Computer Science Pathways
- BSc (Hons) Computer Science
- BSc (Hons) Computer Science (Cybersecurity)
- BSc (Hons) Computer Science (Software Engineering)
- BSc (Hons) Computer Science (User Experience)
What You'll Study
Year 1
- Introduction to Programming (15 credits)
- User Experience and the Web (15 credits)
- Logic and Computer Architecture (15 credits)
- Computing Project 1 (15 credits)
- Graphics 1 (15 credits)
- Algorithms 1 (15 credits)
- Identity, Agency & Environment 1 (15 credits)
- Identity, Agency & Environment 2 (15 credits)
Year 2
Compulsory Modules
- Software Development and Design (15 credits)
- Computing Project 2 (15 credits)
- Object Oriented Programming (15 credits)
- Data Programming for Artificial Intelligence (15 credits)
- Algorithms 2 (15 credits)
- Fundamentals of Computer Science (15 credits)
- The Goldsmiths Elective (15 credits)
Optional Modules
- Networks and Operating Systems (15 credits)
- Information Security (15 credits)
- The Goldsmiths Project (15 credits)
Optional Placement Year
- The degree includes an optional industrial placement year between the second and final year of study.
Year 3/4
Compulsory Modules
- Final Project in Computer Science (45 credits)
- Artificial Intelligence (15 credits)
- Neural Networks (15 credits)
- Machine Learning (15 credits)
- Data Mining (15 credits)
Optional Modules
- You'll then use your remaining 15 credits to take an optional module from a list provided annually by the Department of Computing.
Teaching Style
- This programme is taught through a mixture of lectures, tutorials, workshops and laboratory sessions.
- You’ll also be expected to undertake a significant amount of independent study.
Assessment
- You’ll be assessed by a variety of methods, depending on your module choices.
- These may include coursework, examinations, group work and projects.
Credits and Levels of Learning
- An undergraduate honours degree is made up of 360 credits – 120 at Level 4, 120 at Level 5 and 120 at Level 6.
Facilities
- The Department of Computing has a wealth of specialist labs and facilities that enable students and academics to create cutting-edge work.
Careers
- The explosive and ever-growing use of technology in business and enterprise means that there are a whole range of different career possibilities for computer science graduates.
Skills
- Programming skills, including those required to design and build business computing systems for internet and mobile environments, and those specifically for artificial intelligence
- An understanding of the fundamental methods, theories, techniques and technologies relating to the development of machine learning systems
- Critical, analytical, creative, reflective and interpersonal skills that will prepare you for a career in industry or research
- An understanding of contemporary computing practice
- An awareness of the impact of your work, and the wider role computing technology plays in society
- The mathematical and computational principles underlying computing
- Computational problem solving
- Project management
- Teamwork and collaboration
Industrial Placement Year
- If you decide to take the industrial placement year, you will develop the practical skills and real-world experience that is sought after by employers.
MSci Study Route
- Depending on your academic results, you’ll also have the opportunity to continue your studies to MSci level.
Entry 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.
Transfers
- If you are a University of London student of Computing you may transfer onto the second or third year of this degree.
Alternative Qualifications and Experience
- See our full list of undergraduate entry qualifications.
International Qualifications
- We also accept a wide range of international qualifications.
Fees and Funding
- Annual tuition fees:
- Home - full-time: £9535
- Home - part-time: £TBC
- International - full-time: £21200
Funding Opportunities
- We offer a wide range of scholarships and bursaries.
Additional Costs
- In addition to your tuition fees, you'll be responsible for any additional costs associated with your course.
Placement Year
- If you choose to do a placement year, the fee for this year will be different to that listed.
Goldsmiths, University of London
Overview:
Goldsmiths, University of London is a public research university located in South East London. It is known for its progressive teaching and world-leading research, particularly in the arts, humanities, and social sciences. The university prides itself on fostering a space for self-discovery and offers a single-site campus experience.
Services Offered:
Student Support:
Goldsmiths provides a range of support services for students, including a library, IT support, and a dedicated Graduate School for postgraduate research students.Learning Resources:
The university offers access to the Learn.gold virtual learning environment (VLE) and the Teaching and Learning Innovation Centre (TALIC).Campus Life:
Goldsmiths offers a vibrant campus experience with accommodation options, campus tours, and opportunities to connect with students through the Unibuddy platform.Student Life and Campus Experience:
Goldsmiths offers a unique campus experience in the heart of South East London. Students can explore the campus through virtual tours and learn about the local area through area guides. The university also hosts a variety of events and activities throughout the year.
Key Reasons to Study There:
Progressive Teaching:
Goldsmiths is known for its innovative and forward-thinking teaching methods.World-Leading Research:
The university boasts a strong research reputation, particularly in the arts, humanities, and social sciences.Vibrant Campus Community:
Goldsmiths fosters a diverse and inclusive campus community with a strong sense of belonging.Career Success:
A high percentage of Goldsmiths graduates move on to highly-skilled work after their studies.Academic Programs:
Goldsmiths offers a wide range of undergraduate and postgraduate programs across various disciplines, including: