Master of Science in Data Science (with Placement Year)

University of Hertfordshire - De Havilland Campus

UK,England

 0 Shortlist

24 Months

Duration

CAD 18,950/year

Tuition Fee

CAD 0 FREE

Application Fee

Apply Date

UK, England

Type: University

Location Type: Semi-Urban

Founded: 1952

Total Students: 30,000 +

Int. Students: 10,000 +

Campus Detail

Main Campus Address

De Havilland Campus, Mosquito Way, Hatfield AL10 9EU, United Kingdom

Master of Science in Data Science (with Placement Year)

Program Overview

Data is the currency of all but the most theoretically-based scientific research, and it also underpins our modern world, from the flow of data across international banking networks and the spread of memes across social networks, to the complex models of weather forecasting. The constant generation of data from our digital society feeds into our everyday lives, affecting how we receive healthcare to influencing our shopping habits. In order to handle, make sense of, and exploit large volumes of available data requires highly skilled human insight, analysis and visualisation. The professionals working in this field are called ‘data scientists’, who blend advanced mathematical and statistical skills with programming, database design, machine learning, modelling, simulation and innovative data visualisation. These professionals are in high demand in both public and private sectors in the UK and worldwide. This programme aims and learning outcomes are built around two guiding principles:

  • To provide comprehensive understanding of the fundamental mathematical and statistical concepts underlying data science, and how they are implemented in algorithms and machine learning techniques to solve a variety of data processing and analysis problems.
  • To provide training in the practical skills relevant to data science, central of which is the ability to write clean and efficient code in industry-recognised languages (in particular, Python and R), but also includes data handling, manipulation, mining and visualisation techniques.

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