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