• 专业概况
• 所属院系
• 中国学生入学要求
• 课程信息

专业概况

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Course summary

This course 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, which builds on the strength of two successful courses on data mining and on decision sciences, is more technology focused, and stretches the data mining and decision sciences theme to the broader agenda of business intelligence.

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

Embedded into the course are two key themes. The first will help you to develop your skills in the use and application of various technologies, architectures, techniques, tools and methods. These include warehousing and data mining, distributed data management, and the technologies, architectures, and appropriate middleware and infrastructures supporting application layers. The second theme will enhance your knowledge of algorithms and the quantitative techniques suitable for analysing and mining data and developing decision models in a broad range of application areas. The project consolidates the taught subjects covered, while giving you the opportunity to pursue in-depth study in your chosen area.

Teaching approaches include lectures, tutorials, seminars and practical sessions. You will also learn through extensive course work, class presentations, group research work, and the use of a range of industry standard software such as R, Python, Simul8, Palisade Decision Tools, Hadoop and Oracle.

Taught modules may be assessed entirely through course work, or may include a two-hour exam at the end of the year.

CAREERS AND EMPLOYABILITY SERVICE

Our Careers and Employability Service is here to support you to achieve your full potential.

ASSOCIATED CAREERS

Graduates can expect to find employment as consultants, decision modelling or advanced data analysts, and members of technical and analytics teams supporting management decision making in diverse organisations. Typical employers include local authorities, PLCs (e.g. GlaxoSmithKline, British Airways, Santander and Unilever), public sector organisations (e.g. the NHS and primary care trusts), retail head offices, the BBC, the Civil Service, and the host of banks, brokers and regulators that make up the City, along with all the specialist support consultancies in IT and market research and forecasting, all of whom use data for the full range of decision making.

所属院系

进入哪个院系学习？ Faculty of Science and Technology

中国学生入学要求

为来自中国的学生设计 For entry to a Master's degree that requires a UK 2:2 degree, you will typically need to have one of the following: Bachelor degree from 211, 985 or top national universities with an overall average grade of 70%; Bachelor degree from national universities with an overall average grade of 75%; Bachelor degree from high-ranking private universities with an overall average grade of 75%; Master degrees with an overall average grade of 70%. For entry to a Master's degree that requires a UK 2:1 degree, you will typically need to have one of the following: Bachelor degree from 211, 985 or top national universities with an overall average grade of 75%; Bachelor degree from national universities with an overall average grade of 80%; Bachelor degree from high-ranking private universities with an overall average grade of 80%; and Master degrees with an overall average grade of 75%. Master's degrees – Students need an IELTS 6.0 overall with a minimum 5.5 in each component. Some courses require 6.5 or higher overall and component scores.

课程信息

学制：全日制(1 年)

学费：£14,000.00 (¥ 126,419) /年

开学时间：2022九月20日

申请截止日期：

留学地点：Cavendish Campus115 New Cavendish Street,LONDON,CITY OF WESTMINSTER,W1W 6UW, England

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