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The University of Buckingham

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Buckinghamshire

United Kingdom

Overview Master of Applied Data Science is one of the best courses to choose from that offers in-depth learning in a Data Science and Data Analytics. An MS Degree in Data Science and Data Analytics from the The University of Buckingham has consistently made its place among the top global universities. International students prefer this course at the The University of Buckingham due to its high graduate employability rate. The University of Buckingham offers exceptional education quality, high-end practical learning and ample work opportunities to its international students. After receiving their MS Degree in Data Science and Data Analytics from the The University of Buckingham, students will be competent to carry out extensive research work in the field. The interactive curriculum, vast research opportunities and exceptional teaching faculty at The University of Buckingham offer students a life-altering learning experience. A Master of Science Degree helps students become creative and independent researchers. Overall, an MS Degree in Data Science and Data Analytics from the The University of Buckingham is a great choice for students who want to analyse the field in great depth. Why Study Applied Data Science at The University of Buckingham A popular choice for international students with a diverse community Learn from the best faculty members and become their research assistants High-end labs to facilitate research work Excellent placement programs after course completion Read more
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Duration

12 Months

Class Profile

Diversity

North America:

5%

Africa:

2%

UK:

65%

Europe:

15%

Others:

1%

Asia:

10%

South America:

2%

Eligibility Criteria

English Proficiency Tests

  • IELTS

    6.5

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  • PTE

    59

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  • TOEFL

    79

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Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

      Application Deadlines

      Standard Deadline
      SpringNov 24, 2023

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