. "Entrepreneurship"@en . . "3" . "The course will cover the following topics:- Entrepreneurship in general- Entrepreneurial personalities- Business planning- Lean startup- Design thinking- Entrepreneurial marketing- Entrepreneurial finance- Entrepreneurial growth- Entrepreneurial exit- Select types of entrepreneurship (e.g., social entrepreneurship)The course also features case studies, in which students will apply the concepts of the lecture to real business cases, preferrably from the space sector.\n\nOutcome:\r\n– – Understand and critically evaluate business problems from the perspective of entrepreneurship – – Gain deep knowledge on the entire startup process (from ideation to venture exit) – – Gain evidence-based insights on entrepreneurship rooted in latest research – Apply the insights in real-world case studies that feature highly relevant problems and their solutions" . . "Presential"@en . "TRUE" . . "Entrepreneurship"@en . . . . . . . . . . . . . . "Master in Interdisciplinary Space Master"@en . . "https://www.uni.lu/fstm-en/study-programs/interdisciplinary-space-master/" . "120"^^ . "Presential"@en . "The Interdisciplinary Space Master (ISM) of the University of Luxembourg is developed with the Luxembourg Space Agency (LSA). It offers a starting point for a new global space industry, to create, shape, and sustain space enterprises.\nThe ISM provides students with an understanding of Space project management, space policy, ethics, and laws, entrepreneurship, legal aspects of creating intellectual property and finance and managing innovation.\n\nOutcome:\nGraduates can thus create, shape, and sustain leading commercial space enterprises and play an important role in the economy of the future.\n\nGraduates are prepared for a variety of professional functions requiring skills in:\r\n1. Systems and space systems engineering, technology development, and application\r\n2. Space mission analysis, spacecraft design, and data processing\r\n3. Big data analytics, machine learning, artificial intelligence\r\n4. Software and/or hardware programming tools (robotics, STK, etc.)\r\n5. Space application systems and the corresponding observation methods\r\n6. Translation of scientific space objectives into mission requirements used to advise system engineers\r\n7. Processing, analysis, and interpretation of space-derived data (sometimes big data) using machine learning and artificial intelligence for a variety of space applications\r\n8. Design of observation and navigation systems for a particular purpose\r\n9. Quality control and assessment of the reliability of space data"@en . . . . . . . . . "2"@en . "FALSE" . . "Master"@en . "Thesis" . "4000.00" . "no data"@en . "Not informative" . "None" . "Career opportunities for ISM graduates include jobs in technical or administrative areas throughout the space sector. They may also become engineers or consultants. With their technical knowledge and business expertise they are also prepared to join start-up and proof-of-concept projects.\r\n\r\nFurther study through a doctoral programme is possible."@en . "no data" . "TRUE" . "Upstream"@en . . . . . . . . . . . . . . . . . . . . . . . . .