Introduction to Master of Science in Business Analytics Program
The Master of Science in Business Analytics (MSBA) program takes business management as the application scenario, statistical science as the methodological core, and data technology as the implementation support, focusing on data-driven business decision optimization. The program strengthens students’ business logical thinking and quantitative analysis ability, guiding them to proficiently apply statistical tools, quantitative research methods and business data resources to gain insights into business operation rules, predict industry evolution trends and optimize decision-making processes, achieving full-chain capability upgrading from data value mining to business strategy implementation. Aligned with the demand for enterprise digital-intelligent transformation, the program is committed to cultivating senior compound business analytics talents who “command business, excel in quantification and exercise insight”, capable of driving business innovation and management optimization based on data and intelligent technologies.
Graduates enjoy broad career prospects. They may work in internet enterprises, data technology companies, enterprise digital-intelligent centers, data departments of financial institutions, engaging in business data strategy analysis, consumer behavior insight, data product planning, data governance and compliance and other related work.
The normal program duration is two academic years, requiring the completion of 45 credits, including core courses (24 credits), elective courses (9 credits), and an independently accomplished thesis (12 credits).
The program has the following characteristics:
Keeping pace with the global trend of business digital-intelligent upgrading, the program integrates methods such as statistical modeling, quantitative research and data visualization into all teaching links. It guides students to master full-chain capabilities from data sorting, rule insight to decision optimization, and achieves the coordinated improvement of business thinking and quantitative analysis ability.
The program is equipped with the “Big Data Training Lab”, installed with mainstream industry business intelligence software. It carries out systematic practical training in data cleaning, business modeling and strategy simulation, helping students proficiently master the professional toolchain and establish a systematic understanding of business operation logic.
The program features core faculty members covering fields such as data science, business analytics and decision optimization. We regularly invite renowned domestic and overseas scholars and senior industry experts to host thematic forums and lecture series. Focusing on industry pain points such as machine learning, data mining and blockchain application, these events help students broaden their academic horizons and improve practical skills in business data analysis.
Competency Goals
CG 1. Demonstrate advanced knowledge and skills in business and economic management.
Students master intermediate-level knowledge and skills in general business and economics.
Students demonstrate expertise in both prescribed and self-selected specialized areas of business and economics.
CG 2. Exhibit intermediate critical thinking and analytical skills in solving business and economic problems.
Students identify and define complex problems and opportunities within specialized areas of business and economics.
Students demonstrate intermediate analytical skills by collecting relevant business data and applying appropriate quantitative techniques to derive insights.
Students interpret analysis results and formulate strategic recommendations for business and economic policies within their specialization.
CG 3. Demonstrate strong professional communication skills.
Students communicate effectively and clearly in oral presentations, maintaining logical coherence and an appropriate register.
Students convey ideas clearly and persuasively in written communication, ensuring logical organization and clarity.
Students select and utilize relevant multimedia and visual aids to enhance the effectiveness of their presentations.
CG 4. Develop a strong ethical perspective and understanding of ethical behavior in business and economic environments.
Students demonstrate comprehensive knowledge of ethical conduct and legal frameworks relevant to business and economics.
Students recognize ethical dilemmas in business operations and apply ethical models to propose and defend resolutions within specialized fields.
Students articulate the significance of corporate social responsibility and apply sustainable development models to propose and defend solutions.
CG 5. Demonstrate Global and Multicultural Perspectives.
Students understand, appreciate, and respect cultural diversity, collaborating effectively across international contexts.
Students analyze the implications of globalization in business and economics, integrating these insights into decision-making within their major areas.
