What should be taught in an academic program of data sciences?

Engineering & Materials Science

• Data Science 100%
• Big data 44%
• Decision making 35%
• Industry 32%
• Data integration 28%
• Data mining 20%
• Derivatives 20%
• Oxygen 19%
• Visualization 19%
• Students 18%
• Machine learning 18%
• Feedback 15%
• Computer hardware 14%

Arts & Humanities

• Teaching 60%
• Data Integration 14%
• Interdisciplinary Research 10%
• Academic Discipline 10%
• Public Sector 10%
• Decision Making 9%
• Scientific Discipline 9%
• Campus 9%
• Oxygen 8%
• Visualization 8%
• Machine Learning 8%
• Filter 8%
• Hardware 8%
• Data Mining 7%
• Derivatives 7%
• Data Collection 6%
• Inference 6%
• Route 6%
• Software 5%
• Government 4%

Social Sciences

• profession 5%
• decision making 5%
• scientific discipline 4%
• interdisciplinary research 4%
• hardware 4%
• visualization 3%
• typology 3%
• public sector 3%
• software 2%
• learning 2%
• citizen 2%
• university 1%
• student 1%