Data Science Berliner Hochschule für Technik

Overview

The M.Sc. in Data Science at Berliner Hochschule für Technik (BHT) stands out for its rigorous curriculum that blends advanced computer science and mathematics. With a focus on practical application, this programme prepares students to tackle real-world data challenges effectively. The course spans four semesters, allowing students to delve deeply into topics such as scalable database technologies, statistical modelling, and machine learning methods. Students will gain hands-on experience through projects that may involve collaboration with leading companies or the development of innovative start-up ideas.

Berliner Hochschule für Technik is renowned for its commitment to practical relevance in education. The university's strong industry connections and location in Berlin, a hub for technology and innovation, enhance the learning experience. Students benefit from state-of-the-art facilities and a curriculum that is continuously updated to reflect the latest trends in data science. The programme's accreditation further assures its quality and recognition in the academic and professional communities.

The tuition fees for the M.Sc. in Data Science are as follows:

• International Fee: EUR 0 per year
• European Fee: EUR 0 per year

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

The curriculum is structured to provide a comprehensive understanding of data science through various modules:

• Mathematical Models
• Advanced Software Engineering
• Statistical Computing
• Practical Data Science Programming
• Computer Science for Big Data
• Business Intelligence and Data Science Platforms
• Data Visualization
• Regression
• Machine Learning I
• Applications 1: Data Science Workflow/Applications
• Machine Learning 2
• Applications 2: Urban Technologies
• Applications 3: Enterprise Data Science
• Business Value and Responsibility
• Master’s Thesis
• Oral Final Examination

Graduates of the M.Sc. in Data Science programme are well-prepared for careers in various sectors, including technology, healthcare, and finance. Many alumni have secured positions at prominent companies such as Amazon, Zalando, and eBay, where they apply their expertise in data analysis and model design. Roles such as Data Scientist and Data Engineer are common pathways, allowing graduates to leverage their skills in diverse environments. The programme's strong emphasis on practical experience ensures that students are equipped to meet the demands of a competitive job market.