View
101
Download
4
Category
Preview:
Citation preview
Data Science:
Business and Governance
Eric Postma
Elske van der Vaart
Sam van Kesteren
• Across all disciplines, there is a need for more data scientists
• Data science is being touted as a ‘hot’ career choice for academics and practitioners alike!
• A recognised need for the use of power technological tools to explore the vast amounts of digital material
• Data-analysis methods are not just being employed in natural sciences, but also in law, economics, sociology, political sciences, history, and arts
Why study Data Science?
Why study Data Science?
• Data Science = The science of learning from data; it studies the methods involved in the analysis and processing of data and proposes technology to improve methods in an evidence-based manner.
What is Data Science?
The Full Scope of the DSBG program
• Data Exploration and Preparation
• Data Representation and Transformation
• Computing with Data
• Data Modeling
• Data Visualisation and Presentation
• Social aspects of Data Science
• Economic and Legal Aspects of Data Science
Curriculum overview 2017-2018
TiU Talent Outreach Program
• Aimed at excellent Master students who will extend their study program with an internship of 3-6 months
• Students will conduct in-depth research to provide professional advice on a company-relevant issue or participate in a strategic project for the company
• The TOP program will be executed in co-operation with a Chinese university (SUFE, Shanghai)
• During the internship, the students will have access to expertise from supervisors at TiU
• Accessible for excellent students in Data Science, Supply Chain Management, Economics, Finance, International Management, Marketing, Strategic Management, Human Resource Management and Law.
Highlights: Data Science & Data Visualisations
Highlights: Data Science in Action (Thesis)
• Sam van Kesteren
Highlights: Our Students
Sam van Kesteren (25 years)
BSc Organisation Studies
MSc Data Science: Business and Governance
Thesis: call center speech analysis
• Datification (Internet of Things)
• More computational resources
• Powerful machine learning algorithms
We are in the middle of a changing world
Recommended