Goldsmiths, University of London
MSc Data Science
London, United Kingdom
MSc
DURATION
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
EARLIEST START DATE
TUITION FEES
STUDY FORMAT
Distance Learning
Key Summary
About: The MSc Data Science at Goldsmiths in London gives skills to analyze big data. It teaches foundations of statistics, data mining and machine learning plus computational techniques for large datasets. You’ll use Hadoop, R and Apache tools, apply methods to social, biomedical, financial and audio data, and complete a final project analyzing real-world data under expert supervision and industry applications.
Career Outcomes: Graduates can work as data scientists, machine learning engineers, data analysts and business intelligence analysts. Related roles include big data engineer, research analyst and quantitative analyst. Skills support careers in tech, finance, healthcare, media and climate sectors.
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 Master's, 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.
The degree will culminate in a final project in which you can apply your skills and follow your specialist interests. You will do a novel analysis of real-world data of your choice.
The program includes:
- A firm grounding in the theory of data mining, statistics and machine learning
- Hands-on practical real-world applications such as social media, biomedical data and financial data with Hadoop (used by Yahoo!, Facebook, Google, Twitter, LinkedIn, IBM, Amazon, and many others), R and other specialised software
- The opportunity to work with real-world software such as Apache