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  • DeadlineStudy Details:

    MSc 1 year full-time; 2 years part-time; distance learning

Course Description

The MSc Data Science will provide you with the technical and practical skills to analyse the big data that is the key to success in future business, digital media and science.

The rate at which we are able to create data is rapidly accelerating. According to IBM, globally, we currently produce over 2.5 quintillion bytes of data a day. This ranges from biomedical data to social media activity and climate monitoring to retail transactions. These enormous quantities of data hold the keys to success across many domains from business and marketing to treating cancer or mitigating climate change.

The pace at which we produce data is rapidly outstripping our ability to analyse and use it. Science and industry are crying out for a new generation of data scientists who combine the statistical skills of data analysis and the computational skills needed to carry out this analysis on a vast scale. The MSc Data Science provides you with these skills.

Studying this Masters, you will learn the mathematical foundations of statistics, data mining and machine learning, and apply these to practical, real-world data. As well as these statistical skills, you will learn the computational techniques needed to efficiently analyse very large data sets. You will apply these skills to a range of real-world data, under the guidance of experts in that domain. You will analyse trends in social media, make financial predictions and extract musical information from audio files.

Entry Requirements

You should have an undergraduate degree of at least upper second class standard in computing, physics and engineering, mathematical sciences or finance, and an interest in and capability for working in interdisciplinary contexts.

In exceptional circumstances, outstanding practitioners or individuals with strong commercial experience may be considered.

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Fees

For fees and funding options, please visit website to find out more

Programme Funding

Goldsmiths offers a range of financial support including postgraduate scholarships, bursaries and fee waivers. These are awarded based on a variety of criteria, for example academic achievements or personal circumstances.

Student Destinations

Data Science is one of the fastest growing sectors of employment internationally. Big Data is an important part of modern finance, retail, marketing, science, social science, medicine and government. The study of a combination of long established fields such as statistics, data mining, machine learning and databases with very modern and strongly related fields as big data management and analytics, sentiment analysis and social web mining, offers graduates an excellent opportunity for getting valuable skills in advanced data processing.

This could lead to a variety of potential jobs including:

  • Data Scientist
  • Data Mining Analyst
  • Big Data Analyst
  • Hadoop Developer
  • NoSQL Database Developer
  • R Programmer
  • Python Programmer
  • Researcher in Data Science and Data Mining

Module Details

Compulsory modules

  • Machine Learning and Statistical Data Mining 30 credits
  • Big Data Applications 15 credits
  • Data Programming 15 credits
  • Data Science Research Topics 15 credits
  • Final Project in Data Science 60 credits

You will also choose from an anually approved list of modules which may include:

  • Artificial Intelligence 15 credits
  • Interaction Design 15 credits
  • Neural Networks 15 credits
  • Data Visualisation and the Web 15 credits
  • Introduction to Natural Language Processing 15 credits
  • Geometric Data Analysis 15 credits

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