Business Analytics provides a set of analytical methods for solving problems and aiding decision-making, particularly in the context of large quantities of data. It involves the development and application of models and concepts to explore management issues and solve managerial problems. It includes Data Science, Management Science and Operational Research. Many different organisations use the principles and practice of Analytics.
Available in one-year full-time and two-year part-time formats, this programme is suitable for graduates from technical disciplines such as Engineering, Computer Science and Mathematics with a talent for and interest in finding mathematical or computer solutions to business problems. It is also suitable for business graduates who have studied Management Information Systems (MIS) subjects. The student profile also includes people with practical experience, who often use the programme to re-direct their career.
The mix of full and part-time students from different backgrounds, working together on projects, makes the interaction between students an important and worthwhile part of the learning experience.
Students considering the part-time option should be aware that it requires class attendance and some group work during the working day, so employer support is essential to undertake the part-time option.
A minimum second class honours primary degree (or equivalent) which includes quantitative techniques, including Engineering, Computer Science and other Sciences. Applicants with a Business studies background need to have taken MIS-Management Information Systems subjects, Maths or other quantitative courses.
A student may be asked to undertake the GMAT or GRE at the Director's discretion.
IELTS: A minimum overall score of 7.0 over all components and a minimum of 6.0 in each band.
TOEFL: A minimum score of 100 is required in the Internet based TOEFL (iBT) with a score of at least 20 in each section.
PTE: Minimum of 65 and at least 59 for each item.
序号 | 课程介绍 | Curriculum |
1 | 商业分析概述 | Introduction to Business Analytics |
2 | 统计与模拟方法 | Statistics and Simulation Methods |
3 | 分析编程 | Programming for Analytics |
4 | 数据管理与挖掘 | Data Management and Mining |
5 | 商业分析咨询,变革和项目管理 | Consulting, Change and Project Management for Business Analytics |