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Students
Tuition Fee
EUR 1,150
Per course
Start Date
2025-02-01
Medium of studying
Blended
Duration
12 months
Program Facts
Program Details
Degree
Masters
Major
Ecology | Biology | Environmental Sciences
Area of study
Natural Science
Education type
Blended
Timing
Part time
Course Language
English
Tuition Fee
Average International Tuition Fee
EUR 1,150
Intakes
Program start dateApplication deadline
2025-02-01-
2025-08-01-
About Program

Program Overview


The M.Sc. Technology & Management program empowers non-technical individuals to navigate the intersection of technology and management.

Through a hybrid learning approach, students gain advanced knowledge in key areas including AI, Agile Engineering Management, and Digital Marketing.

The program prepares graduates for leadership roles in technology-focused fields, such as Chief Innovation Officer, Chief Product Officer, and Entrepreneur.

Program Outline


Degree Overview:

The M.Sc. Technology & Management is a full-time program designed for individuals from non-technical backgrounds who want to confidently navigate and lead in technology-focused fields. It aims to empower students to bridge the gap between technology and management, collaborate with and lead tech teams, and decode complex digital landscapes. The program provides an advanced understanding of digital technologies and software engineering, as well as essential skills in technology management and leadership.


Outline:

The program covers the following key areas:

  • Basics of Programming & Software Engineering:
  • Understanding and using basic features of programming languages
  • Using command-line interfaces and version control
  • Debugging and troubleshooting computer programs
  • Choosing appropriate software and hardware technologies
  • Understanding software architecture, APIs, and internet technologies
  • Artificial Intelligence (AI) Technologies & Applications:
  • Understanding the field of AI and its main technologies
  • Analyzing AI technologies regarding their opportunities and limitations
  • Selecting, evaluating, and adapting suitable AI technologies for a given problem or product idea
  • Judging the ethical and legal implications of AI technologies
  • Evaluating the sustainability implications of AI technologies
  • Agile Engineering Management:
  • Organizing engineering teamwork
  • Evaluating and translating between business requirements, user experience, and engineering solutions
  • Evaluating technological solutions in terms of legal, ethical, and cultural considerations
  • Entrepreneurial Leadership:
  • Applying leadership and teamwork principles to create productive, collaborative environments
  • Adapting leadership styles to suit varying team dynamics and situations
  • Enhancing personal growth through self-leadership techniques
  • Evaluating and applying advanced entrepreneurship concepts to navigate complex challenges
  • Understanding and applying innovations in leadership based on emerging technologies, such as generative AI
  • Digital Marketing & Business Models:
  • Developing positioning strategies to differentiate offerings and stand out in the market
  • Applying and optimizing online and omnichannel marketing techniques for seamless customer experiences and improved ROI
  • Integrating AI into marketing strategies to enhance innovation and efficiency
  • Designing and operationalizing business models tailored for AI products and services
  • Building robust business cases to assess the economic viability of new ventures using a hypothesis-driven approach
  • Digital Product Development:
  • Forming interdisciplinary teams and enabling them to develop successful digital products
  • Analyzing customer needs, market conditions, and competitors to identify a Unique Selling Proposition (USP)
  • Evaluating technical feasibility, financial viability, sustainability, and market potential of a product idea
  • Collaboratively creating a cohesive product concept and defining a user-centric Minimum Viable Product (MVP)
  • Developing a structured pitch deck to present your product

Teaching:

  • The program utilizes a challenge-based learning approach, focusing on real-world problems and practical solutions.
  • Professors act as mentors, offering tailored support for problem-solving and delivering focused learning units as needed.
  • The program encourages self-directed learning and peer collaboration.

Careers:

Potential career paths include:

  • Chief Innovation Officer (CIO)
  • Chief Product Officer (CPO)
  • Entrepreneur
  • Senior Management Consultant

Other:

  • The program is offered in English.
  • The program is delivered in a hybrid format, with 14 days of on-campus events required per semester for full-time students (around 7 days for part-time).
  • The program is located in Berlin.
  • CODE has strong partnerships with leading corporations such as Porsche and Telekom, as well as backing from Germany's most successful entrepreneurs.
  • CODE offers a vibrant community of students from over 75 nationalities.
  • CODE provides access to fully equipped project rooms, cozy co-working areas, a vibrant community kitchen, a rooftop infinity pool, a basement food court, and a supermarket.

€ 1,150 / month

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