The MSc Business Analytics programme is a response to these changes in the economic and technological environment. You will graduate as a multi-talented professional, standing in-between your chosen core field of expertise (such as management, finance, and marketing) and information technologies.

In addition to advanced business modules, the programme provides an in-depth understanding of cutting-edge data-processing and data management methods.

The programme is delivered in the International Business School Suzhou (IBSS), one of an elite group of institutions worldwide to be accredited by the Association to Advance Collegiate Schools of Business (AACSB) and European Quality Improvement System (EQUIS). Less than 100 business schools worldwide have both AACSB and EQUIS accreditation.

Why should I study Business Analytics at XJTLU?

• Study the latest data analysis techniques, making use of artificial intelligence technology such as machine learning and data mining
• Take advantage of industry links with local companies and opportunities for work experience at big data companies in Suzhou or Shanghai
• Learn in a practice-oriented environment, which gives you the chance to complete your training with a six-month internship within a company
• Benefit from the Big Data Analytics and Technology Centre at XJTLU, developed in collaboration with IBM and the Suzhou International Science-Park Data Centre
• Earn a University of Liverpool degree that is recognised by the Chinese Ministry of Education.

By the time you graduate from the MSc Business Analytics, you will have:

• a rich understanding of the opportunities and threats posed to organisations by the current increase in data availability
• an ability to analyse, model and investigate large networks of peoples and companies
• knowledge of current practices, theories and issues in a traditional field of business studies
• skills in data processing (descriptive statistics, econometrics and machine learning), problem-solving, and decision-making (using statistical and data analyses to resolve organisational problems)
• proficiency in the use of a wide variety of statistical packages suitable for analysing large data sets.