Overview
The MSc in Data Science and Artificial Intelligence at Goldsmiths, University of London, offers an in-depth exploration of cutting-edge artificial intelligence methodologies alongside practical data analytics skills. This programme is particularly relevant in today's data-driven landscape, where the ability to interpret and utilise vast amounts of information is crucial across various sectors, from healthcare to finance. As data generation accelerates, the role of AI in transforming this data into actionable insights becomes increasingly significant.
Why Data Science and Artificial Intelligence at Goldsmiths?Goldsmiths is renowned for its interdisciplinary approach, combining expertise from the Department of Computing and the Institute of Management Studies. This collaboration enriches the learning experience, providing students with a well-rounded education that spans computer science, mathematics, economics, and business. The university is recognised for its strong industry connections, which enhance the learning experience through guest lectures and networking opportunities with professionals in the data science sector. Furthermore, students have access to state-of-the-art facilities and resources, ensuring they are well-prepared for the demands of the industry.
Tuition Fee BreakdownThe tuition fees for the MSc Data Science and Artificial Intelligence are structured as follows:
- Home (UK) students: £13,600 per year
- International students: £24,350 per year
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum is designed to provide both foundational knowledge and specialised skills. Students will engage with a variety of modules, including:
- Data Programming (15 credits)
- Machine Learning (15 credits)
- Artificial Intelligence (15 credits)
- Big Data Analysis (15 credits)
- Neural Networks (15 credits)
- Final Project in Data Science (60 credits)
Additionally, students may choose from optional modules such as:
- The User Experience of Artificial Intelligence (15 credits)
- Statistics and Statistical Data Mining (15 credits)
- Data Visualisation (15 credits)
- Blockchain Programming (15 credits)
- Econometrics (15 credits)
- Advanced Econometrics (15 credits)
- From National Statistics to Big Data (15 credits)
- Marketing Strategy (15 credits)
- Marketing Analytics (15 credits)
- Digital Marketing and Branding (15 credits)
- Natural Language Processing (15 credits)
- Critical AI (15 credits)
- Data Science Research Topics (15 credits)
- Applied AI for Industry (15 credits)
Note that module availability may vary each academic year.
Industry DemandThe demand for data science professionals continues to grow, with organisations across various sectors seeking individuals who can leverage data to drive decision-making and innovation. This programme prepares graduates to meet these needs by equipping them with the necessary skills to excel in a multitude of roles within the data science field.
Guaranteed Work ExperienceThis programme includes opportunities for placements, allowing students to gain valuable industry experience that enhances their employability upon graduation.
Careers with Data Science and Artificial IntelligenceGraduates of the MSc Data Science and Artificial Intelligence programme have successfully secured positions in diverse sectors. Alumni have taken up roles in leading organisations, contributing their expertise in data analysis, machine learning, and AI applications. The skills acquired during this course open doors to various career paths, including data scientist, data analyst, AI researcher, and more, across industries such as finance, healthcare, and technology.
Programme Structure
Courses
- Data Science
- Artificial Intelligence
- Data Analytics
- Biomedical Data
Key information
Duration
- Full-time
- 12 months
- Part-time
- 24 months
Start dates & application deadlines
- StartingApply anytime.
There is no official deadline of when to apply by, it’s best to apply early.
Language
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Credits
Delivered
Campus Location
- London, United Kingdom
Disciplines
Data Science & Big Data Artificial Intelligence View 390 other Masters in Artificial Intelligence in United KingdomWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
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- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- You should normally have (or expect to be awarded) a taught Masters in a relevant subject area.
- You might also be considered for some programmes if you aren’t a graduate or your degree is in an unrelated field, but have relevant experience and can show that you have the ability to work at postgraduate level.
- A BA or BSc Degree at 2.1 level or above in a subject like computer science, mathematics, statistics, engineering, or quantitative subjects like economics/finance.
Tuition Fees
-
International Applies to you
Applies to youNon-residents24350 GBP / year≈ 24350 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents13600 GBP / year≈ 13600 GBP / year
Additional Details
Home - part-time: £6800 per year
Living costs
London
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Data Science and Artificial Intelligence.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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