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- MSc Data Science and Financial Technologies
Course options
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Qualification
MSc - Master of Science
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Location
Goldsmiths, University of London
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Study mode
Full time
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Start date
01-SEP-25
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Duration
1 year
Course summary
The MSc Data Science and Financial Technology pathway will provide you with the technical and practical skills on how to use the technologies in investment analysis, algorithmic trading, risk management, and payment and fraud detection.
The rate at which society is creating data is rapidly accelerating; outstripping our ability to successfully analyse and use it. The MSc in Data Science and Financial Technology will give you the skills to join the next generation of data scientists, leading the way in areas from climate change to financial forecasting.
Why study MSc Data Science and Financial Technology
- You’ll learn the fundamentals of data science, gaining foundational skills in statistics, data mining, data visualisation, programming and machine learning, giving you the skills and techniques to efficiently analyse very large data sets.
- You’ll combine this with specialist modules in financial technology such as blockchain, to redesign many of the existing processes in banking and finance.
- This degree is interdisciplinary, and you’ll from experts in the Department of Computing and the Institute of Management Studies. Many faculty members bring their knowledge from active research and consultancy in the areas of FinTech, data science, computing and financial technologies.
- You’ll carry out original analysis on real-world financial data through your final project, which allows you to focus on your specific research interests.
- With guidance from experts, you’ll learn to use industry-standard software such as Apache, Hadoop and R to analyse data from industries such as biomedical, financial and social media.
- Our close links with industry mean that you’ll have the opportunity to learn from industry experts in guest lectures throughout the year.
Pathways
As well as MSc Data Science and Financial Technology, we have the following pathway options that give you the chance to specialise in a particular industry area. For each MSc Data Science pathway, in addition to the pathway-specific skills, you’ll learn core skills that are essential for data scientists such as statistical analysis, programming, machine learning, data visualisation, and big data technologies.
In collaboration with Goldsmiths Institute of Management Studies, you’ll learn the skills to become the next generation of data science experts in sectors ranging from healthcare to business.
The pathway options are:
- MSc Data Science
- MSc Data Science and Artificial Intelligence
- MSc Data Science and Econometrics
- MSc Data Science and Marketing
Prepare yourself for a career in data science
We carefully designed our data science programme to help you to become successful data science and FinTech professionals. Core modules of the individual pathways provide you with a solid grounding in the theory of big data, statistics, machine learning and the pathway domain. Further, we train you on the latest technologies like blockchain programming and methods and techniques in quantitative finance so that you can be an important resource for different organizations as blockchain programmer, FinTech specialist, financial analyst as well as a data scientist and engineer. The programme provides you with the opportunity to learn the core techniques and further it enhances your learning through lab sessions. The lab sessions are going to help you to build hands-on experience on data science and FinTech tools prior to your graduation.
Modules
Tuition fees
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£ 20,460per year
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information
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University League Table
60th
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Campus address
Goldsmiths, University of London, New Cross, Lewisham, SE14 6NW, England
Subject rankings
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Subject ranking
85th out of 117 4
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Entry standards
/ Max 227126 56%70th
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Graduate prospects
/ Max 10079.0 79%67th
9 -
Student satisfaction
/ Max 42.83 71%103rd
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