Programme details | |
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Degree: | Master of Science (MSc) |
Disciplines: |
Data Science & Big Data
Business Analytics & Business Intelligence |
Duration: | 24 months |
ECTS points: | 120 |
Study modes: | full-time |
Delivery modes: | on-campus or online/distance |
University website: | Data Science for Society and Business |
Annual tuition (EEA) | ca. 163,000 HKD University currency: 20,000 EUR |
Annual tuition (non-EEA) | ca. 163,000 HKD University currency: 20,000 EUR This applies to citizens of Hong Kong |
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The two-year Master’s program in Data Science for Society and Business (DSSB) is a highly selective program designed for students in business and social sciences who aspire to become data science experts. It also attracts students from health and environmental sciences who wish to broaden their expertise into big data analytics and data-driven computational social science, leveraging their strong quantitative skills.
Over the course of two dynamic years, students acquire advanced competencies, tools, and methods to analyze, model, predict, and address the critical challenges faced by digital societies, modern organizations, and competitive businesses.
This multidisciplinary program offers a wide range of courses across various social and data science fields, along with three elective tracks, allowing students to tailor their studies and deepen their specialization. Emphasizing high employability, the DSSB program equips graduates with the skills needed for rapidly expanding global career opportunities in both professional and academic sectors driven by digitization.
Five Reasons to Study Data Science for Society and Business (DSSB) at Constructor University:
The MSc Data Science for Society and Business (DSSB) is a highly selective graduate program tailored for students who have earned a BA or BSc in social sciences, such as business, economics, political science, psychology, or sociology, and who aspire to become data scientists with a focus on business and social science research.
The program also welcomes applicants from the humanities and natural sciences, including disciplines like history, health sciences, or other neuroscience fields, particularly those with a strong quantitative background.
Find more information on the website of Constructor University: