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MASTERS

Data Science

University of Sunderland
Sunderland, Great Britain
Full-time
€9,003.61total
 1350 Points
Duration
1 Year
Language
English
Start date
Sep 2022

Program Description

The UK Government has identified a huge shortage of specialists in data science and artificial intelligence. The University of Sunderland is looking for a new generation of idealists, visionaries and problem solvers to help business, industry and government make the right decisions in our increasingly complex and uncertain world.

This course is designed for students who have computing, STEM experience or prior experience in working with data (e.g. statistics), to gain the knowledge and skills required to work in data science or data analytics in the real world. We want you to bring your background with you, whether you graduated in Psychology, Business, Geography or Law. We are looking for people who ask questions, who don’t jump to conclusions, and who respond with caution. We want people who are able to find and communicate the best possible solutions.

On this course, you'll study subjects including the fundamentals of data science, data mining, machine learning, data analytics and visualisation, and security of big data. This highly practical course means you’ll have the opportunity to experience the latest technologies and tools used in industry, giving you the confidence to be productive and effective when you go out into the workplace.

A European student fee scholarship and will pay the home tuition fee rate for the duration of your studies.

Entry Requirements

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Education
Bachelor's Degree
6
or
Degree from State Technical Institute
6
English Level
Cambridge Proficiency (CPE)
C
or
Cambridge Advanced (CAE)
C
or
IELTS
6
or
Pearson Test of Academic Engl.
56
Notes:

Information about requirements:

  • An undergraduate degree in a computing or related discipline (mathematics, statistics, engineering)

Other accepted qualifications:

  • Licence (French Speaking) / Licentiaat (Dutch Speaking)
  • a degree 2:1 or above in a relevant non-computing or related discipline (which has numeracy included and/or application of big data as a significant theme).

Other accepted English language qualifications:

  • O-Level English Language or GCSE English Language: grade C or above (UK Exam board)
  • Trinity Integrated Skills in English (ISE) II: Merit or Distinction

Important information:

  • If you do not have the necessary level of English you may need to take one of the University's English for Academic Purposes (EAP) University Preparation Courses before you begin your course.

Curriculum

Modules

Data Science Fundamentals

Data Science Product Development

Machine Learning and Data Analytics

Technology Management for Organisations

Computing Masters Project

Careers

  • IT specialist
  • IT architects
  • Big data and security specialist
More

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