Master of Science in Data Analytics (with Placement)

University of Huddersfield - Queensgate Campus

UK,England

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18 Months

Duration

CAD 17,000/year

Tuition Fee

CAD 0 FREE

Application Fee

Apply Date

UK, England

Type: University

Location Type: Urban

Founded: 1992

Total Students: 17,300 +

Campus Detail

Main Campus Address

Queensgate, Huddersfield HD1 3DH, United Kingdom

Master of Science in Data Analytics (with Placement)

Program Overview

This course is specifically aimed at International students, supporting those wishing to gain practical work based experiential learning. Together with studying your chosen course we are offering you the opportunity to secure a placement* for an additional 6 months, making the course 18 months in length. This allows students with limited experience to put into practice the skills and techniques developed throughout the Master’s degree.

Our Master's with placement course is designed to meet the demand for a new kind of IT specialist with the skills and knowledge in data science.

With data science lauded as the answer to the COVID-19 recovery, organisations are planning to significantly increase their data science headcount this year. This is according to the latest research from Le Wagon, an educational leader in data science bootcamps.*

In order to address these demands, given the large amount of data collected by all kinds of organisations, the course aims to equip you with an understanding of:

  • statistics
  • data mining techniques
  • big data and associated file systems
  • complex data visualisation

Our aim is for you to graduate from this course with the ability to combine this knowledge to provide solutions to relevant stakeholders to improve their decision making process based on novel solutions proposed by analysing and visualising complex datasets.

The course seeks to develop the ability to critically evaluate existing and emerging Data Science technology, apply knowledge, understanding and analytical and design skills in support of analytical and big data problems.