Data Analysis and Business Computing
“Navigating the Wave of Digitization with Confidence and Adaptability”
In the era of unstoppable global digitization, businesses are compelled to adapt and navigate the path to digital transformation. Amid this prevailing trend, the cultivation of digital talent becomes crucial, and is also a critical factor in companies’ successful transformation. Acknowledging this imperative, the MBA program at the School of Business and Management (SBM), Shanghai International Studies University (SISU), has proactively responded by launching the new concentration of Data Analysis and Business Computing.
This concentration equips MBA students with the hard skills in data analysis while cultivating a mindset for managing business data, enabling them to navigate the wave of digitization with confidence and adaptability.
The fourth installment of “Introduction to SISU MBA Program” is about Data Analysis and Business Computing, the new engine for digital transformation and business reform.
Objectives
As a key offering by the SISU MBA program, this specification is tailored to provide in-depth insights into the impact of emerging technologies on business, grasp the business thinking of the era of big data and artificial intelligence, and proactively address the challenges posed by changes in business models. It aims to meet the urgent demand for data industry talent in China and cultivate professionals with a combination of technical and managerial skills who can master data analysis, appreciate the business value of data, and possess a data management mindset.
Features
Relying on the Shanghai Key Laboratory of Brain-Machine Intelligence for Information Behavior (BMIB) and the Virtual Teaching and Research Offices in Information Management and Information System of the Ministry of Education, this concentration provides MBA students with an integrated platform for advanced intelligent computing and big data analysis experiments. It is supported by experienced faculty with decades of experience in industry-academic-research collaboration and senior data experts from leading internet companies, to ensure comprehensive training for students from cutting-edge technology to business practice transformation.
Curriculum
Artificial Intelligence and Data Science
Business Data Analysis and Decision-Making
Management Practices Driven by Data Intelligence
Data Visualization
The curriculum of this concentration covers a wide range of areas, including cutting-edge knowledge systems colliding with top international and domestic business schools, high-performance algorithm learning and practical platforms, methodological approaches to management practices integrated with years of industry collaboration cases, and the four core competencies (cutting-edge, practical, experiential, and skillful) of data industry based on exclusive insights from leading internet companies.
Career Development
In this era where data creates value, “Data Analysis and Business Computing” has become a highly sought-after concentration . Graduates of this concentration will possess core methodologies from data to business value, including mastering essential data analysis skills and deep understanding of business operations and management thinking. They will provide strong support for business decision-making through data analysis, enabling business innovation and transformation. According to the latest statistics, by 2025, China will have a talent gap of 2.3 million professionals in the field of big data, with data analysts accounting for over 40%, making them highly sought-after professionals in the era of big data. In the past three years, majors related to IT have dominated the top ten high-paying majors for undergraduate graduates, with data science and big data technology ranking third. In addition, graduate employment rates for management and engineering programs have consistently ranked among the top ten. With the rapid development of big data and artificial intelligence technologies, “Data Analysis and Business Computing” has become highly desirable among major companies, positioning it as a valuable talent resource.'
