Data Science for Society and Business (Online) Constructor University

Overview

The Master of Science in Data Science for Society and Business (DSSB) is an innovative online programme offered by Constructor University, a top-ranked private institution in Germany. This two-year course aims to equip students with the tools and expertise necessary to navigate the rapidly evolving landscape of data science, particularly as it pertains to societal and business contexts. With a focus on using digital data resources and advanced computational methods, the programme addresses significant global issues such as innovation diffusion, migration trends, and sustainable growth. Students will learn to model, predict, and potentially resolve pressing challenges across various sectors, including public administration, academia, and industry.

Constructor University is renowned for its commitment to high educational standards, ranking as the #1 international university in Europe and the #1 private university in Germany according to THE 2023 rankings. The university fosters a diverse learning environment, attracting talents from over 120 countries, which enhances intercultural skills and networking opportunities. The DSSB programme benefits from a selective admission process, ensuring a small cohort size that promotes personalised learning experiences. Students also gain access to a vibrant community and excellent career services, facilitating connections with alumni and industry professionals.

The tuition fees for the Data Science for Society and Business (Online) programme are as follows:

• International Fee: EUR 5,000 per year
• European Fee: EUR 5,000 per year

Visit the Fees and Funding section for a breakdown in your local currency.

The curriculum for the DSSB (online) programme is structured to provide a comprehensive understanding of data science principles and practices. It includes foundational lectures, specialised modules, and tutorials. Key components of the syllabus include:

• Mathematical and Statistical Foundations of Data Science
• Algorithmic Concepts and Techniques
• Supervised and Unsupervised Learning
• Data Analysis and Interpretation
• Ethical Considerations in Data Science
• Capstone Project or Thesis in collaboration with industry partners

Students will also engage in asynchronous learning activities complemented by synchronous tutorials, ensuring a well-rounded educational experience.

As digital innovations permeate every aspect of life, the demand for skilled data scientists is surging. Industries such as social media, healthcare, finance, and public administration are increasingly relying on data-driven insights to inform decision-making and strategy. The DSSB programme prepares graduates to meet this demand by equipping them with the necessary skills to thrive in various sectors.

Graduates of the DSSB programme can expect to find opportunities in diverse fields, including consulting, market research, and public administration. Alumni have successfully secured positions in reputable organisations, leveraging their expertise in data science to drive innovation and solve complex problems. Specific job roles may include Data Analyst, Business Intelligence Consultant, and Social Data Scientist, among others.