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3 Years On Campus Bachelors Program
Goldsmiths University of LondonThe BSc (Hons) Computer Science (Artificial Intelligence & Data Science) at Goldsmiths, University of London is designed for students who want to explore cutting-edge areas of computing while applying theory to real-world problems. This programme suits those eager to combine technical expertise with creativity, studying everything from programming fundamentals to advanced AI models and large-scale data analysis.
Curriculum Structure
Year 1:
In the first year, students gain a strong foundation in programming, mathematics, and core computing concepts while also learning how to think critically about technology. Modules such as Introduction to Programming, Computational Mathematics, and Fundamentals of Computer Science ensure you develop both problem-solving and coding confidence. By the end of the year, you’ll be able to write functional code and begin to understand how data underpins digital innovation.
Year 2:
The second year dives deeper into specialized areas of artificial intelligence and data-driven decision making. Through modules like Artificial Intelligence, Data Science, and Algorithms and Data Structures, you’ll explore how machines learn from information, and how complex systems can be built to solve real-world problems. This stage develops your analytical skills and teaches you to handle both theoretical models and applied computational methods.
Year 3:
The final year is all about advanced study and independent exploration. You’ll take on modules such as Advanced Data Science, Machine Learning, and Neural Networks, while also working on a substantial Final-Year Project that lets you showcase your expertise. This capstone project gives you the freedom to design, build, and evaluate a solution in an area of your choice, preparing you for both industry and research pathways.
Focus Areas
Artificial Intelligence, Data Science, Machine Learning, Neural Networks, Algorithms, Programming, Computational Mathematics, Software Engineering
Learning Outcomes
Critical problem-solving, proficiency in programming and data handling, ability to design AI systems, analytical and mathematical reasoning, project management, communication of technical ideas
Professional Alignment (Accreditation)
This degree is accredited by the British Computer Society (BCS), meaning it meets the industry-recognised standards for computer science education. This professional alignment strengthens your career prospects and supports your pathway toward chartered IT professional status.
Reputation (Employability Rankings)
Goldsmiths is recognised globally for its interdisciplinary and innovative teaching. The QS World University Rankings place it among the top universities worldwide for arts, humanities, and social sciences, while its computer science graduates are highly valued for their creative and analytical approach. Within London’s thriving tech sector, Goldsmiths’ focus on blending computing with real-world problem solving provides graduates with a strong employability edge.
At Goldsmiths, University of London, the BSc (Hons) Computer Science (Artificial Intelligence & Data Science) is designed to immerse you in hands-on, practical learning from day one. You'll gain real-world experience by creating web and mobile applications, designing data visualizations, and developing machine learning models. The program emphasizes applying theoretical knowledge to practical challenges, helping you build the technical skills and confidence needed for a career in AI and data science.
Your experiential learning includes:
Cutting-edge laboratories and computing facilities equipped for AI and data science research.
Industry-standard software for programming, data analysis, and machine learning applications.
Practical group projects and workshops to develop teamwork and problem-solving skills.
Optional industrial placement year providing work experience, industry contacts, and professional development.
Final year project allowing independent research and practical application of AI and data science concepts.
Access to the Goldsmiths Library and online resources for research, coding support, and data analysis.
Guided tutorials and laboratory sessions that reinforce theoretical learning with hands-on practice.
Opportunities to explore ethical and social implications of AI through applied projects.
This blend of technical training, practical projects, and professional exposure ensures that you graduate ready to tackle real-world challenges in AI and data science.
Graduates of the BSc (Hons) Computer Science (Artificial Intelligence & Data Science) at Goldsmiths are highly sought after in the tech industry, equipped to take on roles such as Data Scientist, Machine Learning Engineer, AI Developer, or Data Analyst. This program combines hands-on technical expertise with real-world experience, ensuring you are ready to make an immediate impact in your career:
University Career Support: Goldsmiths’ Careers & Employability team provides tailored guidance, including CV workshops, interview preparation, employer networking events, and support during the optional industrial placement year.
Employment Stats & Salary: Graduates often secure roles in top tech companies, with competitive starting salaries averaging around £30,000–£40,000, increasing significantly with experience.
University–Industry Partnerships: The program benefits from collaborations with leading tech companies, offering access to live projects and industry insights during the placement year.
Accreditation Value: The degree is recognised by professional bodies in computing, enhancing long-term employability and professional credibility.
Graduation Outcomes: Graduates leave with both a strong technical foundation and practical experience, positioning them for success in AI, data science, and broader computing careers.
Further Academic Progression:
Students can continue their studies through postgraduate programs such as MSc in Artificial Intelligence, Data Science, or Advanced Computing, or explore specialised research opportunities, opening pathways into academic careers or high-level industry roles.
A-level: BBB / 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.International Baccalaureate: 33 points overall with Three HL subjects at 655IELTS: 6.0 with no element lower than 5.5 to study this programme.TOEFL: 80 overall with 21 in Writing and no lower than 20 in each other skill will meet English language requirementsFor Indian Applicants: Higher Secondary School Certificate (Class XII) from CBSE, CISCE/ICSE, or state boards Diploma (2–4 years) from a Polytechnic, College of Technology, or Professional InstituteStudents applying to programmes requiring IELTS 6.5/6.0/5.5 can meet English language requirements with 75% in English at Standard XII from the following Indian Boards, verifiable via DigiLocker or directly with the Board: CBSE, CISCE (ICSE/ISC), Andhra Pradesh, Goa, Karnataka, Kerala, Maharashtra, Tamil Nadu, Telangana, and West Bengal.Applications are assessed on grades, test scores, personal statement, reference, and extracurriculars. Verification may be required via DigiLocker or the examining Board.For US Applicants: A high school diploma with a GPA 3.0 or higher (unweighted) plus one of the following: ACT with a composite score of 26, or two advanced placement (AP) tests with a score of 3 or higher, or SAT 1240 overall (with a minimum of 580 in Math and 620 in Evidence-based Reading and Writing)OR Applicants must have a high school diploma with a 3.3+ GPA (unweighted) and A/B grades in honors, AP, IB HL/SL, or dual-enrollment courses. IB applicants must hold the full diploma with 33 points (HL 6,5,5). AP, IB, SAT, and ACT scores are used only for admission; no credit is granted. Goldsmiths superscores both SAT and ACT. CollegeBoard code: 7674, ACT code: 5310.AI EngineerData ScientistMachine Learning EngineerData AnalystBusiness Intelligence AnalystRobotics EngineerNLP EngineerComputer Vision SpecialistSoftware DeveloperBig Data EngineerDeep Learning SpecialistAI ResearcherCloud Solutions ArchitectCybersecurity AnalystAI Product Manager
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