University of Sunderland
University of Sunderland
MSc Data Science
University of Sunderland

Sunderland Campus

UK · Established 1901

Duration

1 year

Tuition Fee

£ 17400 Per Year

Level

Postgraduate

The MSc Data Science program at Sunderland focuses on developing practical skills in data science. The curriculum emphasizes employability, aiming to closely mirror industry production processes and techniques. Students engage in creative practice, research, and reflection, enabling them to approach projects with an open and critical mind and effectively communicate ideas in various forms.

2.4 GPA or 60%, 6.0/5.5, PTE - 59/59, Gap Acceptable (need to justify)

Upon successful completion of this course, students will be able to:

  • Apply Data Science Principles: Utilize advanced data science techniques to plan, execute, and evaluate data science operations effectively.
  • Analyze Data Trends: Evaluate current trends in the data science industry and understand the complexities of operating within this sector.
  • Demonstrate Technical Skills: Effectively use industry-standard equipment and software for various aspects of data science, including data analysis and visualization.
  • Conduct Research: Undertake independent research to address contemporary challenges in data science.
  • Develop Data-Driven Solutions: Design and implement solutions that leverage data to address business and scientific challenges.
Scholarship Opportunities

Eligible international students may receive up to £4500 tuition fee reduction for postgraduate courses.

Tuition Fee: £ 17400 Per Year

Key Information
  • Study Level: Postgraduate
  • Type: Full-time
  • Duration: 1 year
  • Country: UK
  • College: University of Sunderland
  • Location: Sunderland Campus
  • Language: English
  • Delivery Mode: On-campus
  • Accredited: This course is developed according to the needs of the employment sector, providing students with the technical and practical skills to analyse big data that is key to success in future business, digital media, and science.
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