Overview
The MSc Data Science programme at the University of London is an innovative course that equips students with the essential skills required in today’s data-driven world. This degree is designed for those looking to delve into the intricacies of data science, including statistical analysis, machine learning, and big data technologies. With the academic direction provided by Goldsmiths, University of London, this programme stands out for its focus on creativity and practical applications in the field of data science.
Why Data Science at the University of London?The University of London is renowned for its academic excellence and innovative approach to education. Goldsmiths, as part of this federation, is recognised for its strengths in creativity and technology, making it an ideal place to study data science. The university's commitment to providing high-quality education is reflected in its robust curriculum and the support offered to students, including access to extensive online resources and a vibrant community of learners.
Tuition Fee BreakdownThe tuition fees for the MSc Data Science programme are structured as follows:
- International fee: GBP 876 per module
- National fee: GBP 876 per module
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe MSc Data Science programme comprises a combination of core and optional modules, allowing students to tailor their learning experience. The structure includes:
- Core Modules:
- Statistics and Statistical Data Mining
- Machine Learning
- Data Programming in Python
- Big Data Analysis
- Compulsory Module:
- Data Science Research Topics
- Optional Modules:
- Natural Language Processing
- Social Media and Network Science
- Artificial Intelligence
- R for Data Science
- Neural Networks
- Blockchain Programming
- Data Visualisation
- Financial Data Modelling
- Financial Markets
- Mathematics for Data Science
Students also undertake a final project, which allows them to apply their knowledge in a practical setting, culminating their learning experience.
Industry DemandData science skills are increasingly sought after across various sectors, including finance, healthcare, and technology. Graduates of the MSc Data Science programme are well-prepared to meet the demands of employers looking for professionals who can harness data to drive strategic decisions and innovations.
Careers with Data ScienceGraduates of the MSc Data Science programme have the opportunity to pursue a wide range of careers. Many find positions in technology firms, the biomedical research sector, financial institutions, and governmental organisations. Specific roles may include data analyst, data scientist, machine learning engineer, and financial data consultant. The programme's focus on both theoretical knowledge and practical application ensures that graduates are equipped with the skills necessary to excel in their chosen fields.
Programme Structure
Courses include:
- Statistics and Statistical Data Mining
- Machine Learning
- Data Programming in Python
- Big Data Analysis
- Data Visualisation
Key information
Duration
- Full-time
- 24 months
- Part-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before
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- Starting
- Apply before
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Language
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Credits
Delivered
Campus Location
- London, United Kingdom
Disciplines
Data Science & Big Data View 408 other Masters in Data Science & Big Data in United KingdomWhat students do after studying
Academic requirements
English requirements
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Other requirements
General requirements
Entry Route One
To be eligible to register for any of the Data Science degrees, you must have the following:
- A bachelor’s degree (or an acceptable equivalent) in a relevant subject which is considered at least comparable to a UK second class honours degree, from an institution acceptable to the University.
- If we consider your previous degree as non-relevant then we will request you take our MOOC, Foundations of Data Science: K-means Clustering in Python, before you start our Data Science programme.
A bachelor’s degree (or an acceptable equivalent) in any subject which is considered at least comparable to a UK second class honours degree, from an institution acceptable to the University.
- In addition to the above, you will be required to complete an online preparatory course prior to registration. The online preparatory course, Foundations of Data Science: K-Means Clustering in Python.
Technological requirements
As this is a technical degree, you will need regular access to a computer with an internet connection and a minimum screen resolution of 1024x768. You will also need Adobe Flash Player to view video material and a media player (such as VLC) to play video files.
Tuition Fees
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International Applies to you
Applies to youNon-residents10478 GBP / year≈ 10478 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents10478 GBP / year≈ 10478 GBP / year
Additional Details
Band AIndependent student: £9960Recognised Teaching Centre student: £5090Band BIndependent student: £14822Recognised Teaching Centre student: £8450
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.
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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