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MSc Data Science and Financial Technologies

MSc Data Science and Financial Technologies

Different course options

Full time | Goldsmiths, University of London | 1 year | 25-SEP-23

Study mode

Full time

Duration

1 year

Start date

25-SEP-23

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Data Science Financial Services

Course type

Taught

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

Blockchain is the technology that underpins Bitcoin and other cryptocurrencies. Blockchain promises to become a dominant technology in financial and other transactions, whether cryptocurrencies thrive or die.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£11,760

International fees
Course fees for EU and international students

For this course (per year)

£19,210

Entry requirements

You’ll gain a strong foundation in data science and specialist knowledge in a particular field. We do not assume that you will have programmed before, but we do require a level of mathematical dexterity that is commensurate with having completed a numerate degree. You’ll require a BA or BSc Degree at 2.1 level or above in subjects like computer science, mathematics, statistics, engineering, economics or finance.