• Toll free: 1800 258 5772

University of Westminster

London , England ,United Kingdom

DATA SCIENCE AND ANALYTICS MSc

This course (previously Business Intelligence and Analytics MSc) addresses the need to propel information-gathering and data organisation, and exploit potential information and knowledge hidden in routinely collected data to improve decision-making. The course stretches the artificial intelligence (AI), machine learning (ML) and decision science themes to business intelligence, data science and business analytics.

You'll focus on developing solutions to real-world problems associated with the changing nature of IT infrastructure and increasing volumes of data, using applications and case studies, while gaining a deep appreciation of the underlying models and techniques. You'll also gain a greater understanding of the impact technological advances have on nature and practices adopted within data science, business intelligence and analytics, and how to adapt to these changes.

Campus Information

Cavendish Campus

Our Cavendish Campus is in central London – just a 5-minute walk from Oxford Street and Tottenham Court Road. Subjects taught at the campus include Biological and Biomedical Sciences, Computer Science and Engineering, and Psychology.

Intakes

  • Sep

Application Processing Time in Days: 30

Application Process

More information Required
10 Days
Possible Interview Call from Institution
10 Days
Provisional/Unconditional Offer
20 Days
Visa Process
30 Days

Minimum English Language Requirements

English Level Description IELTS (1.0 -9.0) TOEFL IBT (0-120) TOEFL CBT (0-300) PTE (10-90)
Expert 9 120 297-300 86-90
Very Good 8.5 115-119 280-293 83-86
Very Good 8 110-114 270-280 79-83
Good 7.5 102-109 253-267 73-79
Good 7 94-101 240-253 65-73
Competent 6.5 79-93 213-233 58-65
Competent 6 60-78 170-210 50-58
Modest 5.5 46-59 133-210 43-50
Modest 5 35-45 107-133 36-43
Limited 4 32-34 97-103 30-36
Extremely Limited < 4 < 31 < 93 < 30

PSW Opportunity

  • 2 Years PSW is applicable after completing a minimum duration of 9 months course (like- Undergraduate, Postgraduate Level)
  • 3 Years PSW is applicable after completing PhD level courses.

Admission Requirement / Eligibility Criteria

A minimum of a lower second class honors degree (2:2) in a scientific or engineering discipline with some exposure to the use of IT, or in an area of computer science or IT with a strong interest in quantitative analysis. If you do not have a formal qualification, but you are already in employment, you may be considered if your role involves the data mining and decision support techniques and technologies deployed in the course.

If your first language is not English you should have an IELTS 6.5 with at least 6.0 in writing.