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CHINA - Mainland CHINA - Hong Kong, Macao and Taiwan GLOBAL


The rapid growth of available data is transforming the way managers, accountants, investors and marketers are working. The ability to integrate big data into business plans and decisions is becoming essential for organisations to maintain their competitive advantage.

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. IBSS successfully join other prestigious members in the QTEM network in 2021 using the MSc BA as the flagship programme. As a master programme open to the world, we can provide students with a more international platform, and prepare them to use analytic to create a better world.

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.

Knowledge and skills

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.

We aim to train data specialists mastering the entire information chain (business intelligence and statistical methodology), capable by their knowledge of "business" logic and in a context of big data, to provide relevant diagnoses nourishing their economic and management decisions.
Linjia Zhang
Programme director


  • Core modules


  • Additional learning activities

    The completion of additional learning activities is required to obtain your master degree. The programme includes a total of 600 hours of Additional Learning Activities, most of which are chosen individually by students. Normally, required ALA hours will be distributed evenly across each semester, amounting to 200 hours per semester. Part-time programmes will normally require 100 to 150 hours per semester. They should normally be spread equally over teaching semesters and the summer and winter breaks.

Compared to other universities, the advantage of the Business Analytics programme at XJTLU is that it allows us to learn comprehensively about big data from a financial, economical and technological view, which is necessary in today’s work environment.
Matthew Bobea
Student, MSc Business Analytics


Graduates from this programme are well prepared for roles such as data or information analyst, technical consultant, IT-related project manager and customer relationship management (CRM) analyst. Employment opportunities exist in every sector of the economy, particularly within the fast-growing service industries of finance, retail, marketing, and information technology.