University of Westminster
University of Westminster

University of Westminster

309 Regent Street London W1B 2HW London, United Kingdom Visit web page

Data Science and Analytics

Study detals

: Postgraduate : MSc : Full-time : 12 Month

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.

Applicants are required to submit one academic reference.

Speciality

If you don't wish to pay the whole amount of your fees at once, you may be able to pay by instalments. This opportunity is available if you have a personal tuition fee liability of £2,000 or more and if you are self-funded or funded by the Student Loans Company.

If you have previously studied at university level, or have equivalent work experience, academic credit may be awarded towards your course at Westminster. For more information, visit our Recognition of Prior Learning page.

Additional information

Master key data science and analytics skills – You’ll develop your skills in the use and application of various technologies, architectures, techniques, tools, and methods, including data warehousing and mining, distributed data management, and appropriate AI and ML techniques
Develop your problem-solving skills – You’ll focus on developing solutions to real-world problems associated with the changing nature of IT infrastructure and increasing volumes of data, and gain a deep appreciation of the underlying models and techniques
Gain industry-insider knowledge – You’ll attend presentations from industry professionals and have the opportunity to go on site visits to see the work of data science and analytics teams
Get access to the essential software and languages – You’ll use a range of industry-standard software such as R, Python, SQL, Simul8, Palisade Decision Tools, Tableau, and Oracle
You'll enhance your knowledge of algorithms and quantitative techniques including Al, ML, Operational Research (OR), and Advanced Analytics suitable for analysing and mining data and developing decision models in a broad range of application areas

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