MSc Data Science and Analytics in London United Kingdom | University of Westminster

University of Westminster | London United Kingdom
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Qualification
Masters Degree (Taught)
Languages
English
Delivery Mode
On-Campus
Tuition (2025)
GBP 17,500
(c. USD23,417.63)
Attendance
Full-time
Full-time Duration
12 months

This program (formerly known as Business Intelligence and Analytics MSc) focuses on advancing data collection and organization methods while uncovering valuable insights within routine data to enhance decision-making processes. The curriculum extends artificial intelligence (AI), machine learning (ML), and decision science principles into business intelligence, data science, and business analytics applications. Students will concentrate on solving real-world challenges related to evolving IT infrastructure and growing data volumes through practical applications and case studies, while gaining thorough knowledge of foundational models and methodologies. The course also provides insights into how technological advancements influence data science, business intelligence, and analytics practices, preparing students to adapt to these developments. Two core themes are integrated throughout the program. The first builds expertise in utilizing diverse technologies, architectures, tools, and methodologies for data science, encompassing data warehousing, mining, distributed data management, and relevant AI/ML approaches. The second theme strengthens understanding of analytical algorithms and quantitative methods, including AI, ML, and Operational Research (OR) for data analysis and decision modeling across various applications. The final project reinforces taught concepts while allowing for specialized research in a chosen field. Learning methods incorporate lectures, tutorials, seminars, hands-on sessions, coursework, presentations, group projects, and training with industry-standard tools like R, Python, Simul8, Palisade Decision Tools, Tableau, and Oracle.


Destination of Study

Subjects of Study

Language Requirements

English
IELTS 6.5

Qualification Requirements

A minimum of a lower second class honours 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 6.5 in writing and no element below 6.0. TOEFL 88 overall with a minimum of 17 in Listening, 21 in Writing, 18 in Reading and 20 in Speaking.

Applicants are required to submit one academic reference.

Tuition GBP 17,500

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