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Digital Product School

Experience lean product development excellence

The Digital Product School offers the unique opportunity to develop state of the art digital products in interdisciplinary teams within a three month timeframe. Participants range from employees of cooperation partners like BMW, Daimler and Audi to highly motivated and skilled university students and recent graduates. Together you will tackle real world problems and develop digital solutions.

In order to successfully build solutions, coaches and external experts in the field of product management, interaction design, software engineering and artificial intelligence will support the participants with best practices and modern methods. The program will take place in the Highlight Towers in Munich, Schwabing. There, you will not only have 1000 sqm of high tech office space available, but you will also have access to the latest AI technologies of IBM Watson IoT. After three months, you will have gained the skills and mindset to build excellent digital products for your customers and to be a mastermind in your special field.

How you will benefit:
  • Experience lean product development excellence

  • Work on real world customer problems in cross functional teams

  • Gain access to the latest technology in artificial intelligence by IBM Watson IoT

  • Gain access to MakerSpace, a 1500 sqm workshop facility of UnternehmerTUM in Garching, for rapid prototyping

  • Follow up your project in the UnternehmerTUM Incubator

  • Experience workshops with the best experts in Product Management, Interaction Design, Artificial Intelligence and Software Engineering

Application

You want to become experienced? Apply here for Digital Product School.

Register now!

Your contact person

Thomas Zeller

SASCHA REHBOCK

Managing Director DPS

@ hello@dpschool.io
 

The most important aspects at a glance

  • Target group

    (PhD.) Students
    Recent Graduates
    Employees

  • Format

    Workshops and hands on projects

  • Duration

    3 months fulltime

  • Cost

    Free for students and recent graduates
    Fees for employees at request

  • Language

    English

  • Important dates
    • Batch #6: 7.1. - 29.3.2019 (application deadline 9 December 2018)

    • Batch #7: 2.5. - 26.7.2019 (application deadline 31 March 2019)

    • Batch #8: 10.9. - 29.11. 2019 (application deadline 28 July 2019)