Master of Science in Data Science

University of Essex - Colchester Campus

UK,England

 0 Shortlist

12 Months

Duration

CAD 21,700/year

Tuition Fee

CAD 0 FREE

Application Fee

Apply Date

UK, England

Type: University

Location Type: Semi-Urban

Founded: 1965

Total Students: 17,800 +

Campus Detail

Main Campus Address

Wivenhoe Park, Colchester CO4 3SQ, United Kingdom

Master of Science in Data Science

Program Overview

The techniques we use to model and manipulate data guide the political, financial and social decisions that shape our modern society and are the basis of growth of the economy and success of businesses. Technology is growing and evolving at an incredible speed, and both the rate of growth of data we generate and the devices we use to process it can only increase.

Data science is a growing and important field of study with a fast-growing number of jobs and opportunities within the private and public sector. The application of theory and methods to real-world problems and applications is at the core of data science, which aims especially to use and to exploit big data.

If you are interested in solving real-world problems, you like to develop skills to use smart devices efficiently, you want to use and to foster your understanding of mathematics, and you are interested and keen to use statistical techniques and methods to interpret data, MSc Data Science at Essex is for you. You study a balance of solid theory and practical application including:

  • Computer science
  • Programming
  • Statistics
  • Data analysis
  • Probability

A successful career in data science requires you to possess truly interdisciplinary knowledge, so we ensure that you graduate with a wide-ranging yet specialised set of skills in this area. You are taught mainly within our Department of Mathematical Sciences and our School of Computer Science and Electronic Engineering, but also benefit from input from our Essex Business School, and our Essex Pathways Department. Data scientists are required in every sector, carrying out statistical analysis or mining data on social media, so our course can open the door to almost any industry, from health, to government, to publishing.

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