Master in Digital Product Management

Program Overview

The Master's in Digital Product Management program equips professionals with the skills to lead in developing and managing innovative digital products. It covers core product management principles, data analytics, and digital business models, with specialization options in areas like data science or digital transformation. Through a blended learning approach, students engage in online learning, live tutorials, and individual coaching, preparing them for a wide range of careers in the field, including strategic product management, data-driven product ownership, or technical product management.

Program Outline

Degree Overview:

This online Master's degree program in Digital Product Management is designed for individuals who have completed a Bachelor's degree in a field other than digital product management and have relevant professional experience. The program aims to equip students with the necessary skills and knowledge to become successful leaders in the field of digital product development and management.

Objectives:

• Gain hands-on experience in product development and management, data analysis, and digital business.
• Specialize in in-demand areas such as Data Science, Internet of Things, or Digital Transformation, aligning with individual career objectives.
• Prepare students for responsible positions in innovative work environments, such as strategic product manager, product owner for data-driven products, or technical product manager.

Outline:

The program is structured into two semesters, covering a range of modules across three main areas: product management, data products, and methodological skills.

Semester 1:

• Fundamentals of Digital Product Management (5 ECTS credits): This module introduces the core principles and practices of digital product management, covering topics such as product strategy, user research, and product roadmapping.
• Product Development (5 ECTS credits): This module delves into the process of developing digital products, from ideation to launch, covering topics such as agile methodologies, design thinking, and product lifecycle management.
• Digital Business Models (5 ECTS credits): This module explores different business models for digital products, covering topics such as revenue generation, customer acquisition, and competitive analysis.
• Digital Analytics and Strategies (5 ECTS credits): This module focuses on the use of data analytics to inform product decisions, covering topics such as web analytics, user behavior analysis, and data-driven product optimization.
• Digital Business Management (5 ECTS credits): This module provides an overview of the key aspects of managing digital businesses, covering topics such as digital marketing, e-commerce, and digital transformation.
• Applied Research (5 ECTS credits): This module introduces students to research methodologies and techniques relevant to digital product management, covering topics such as data collection, analysis, and interpretation.

Semester 2:

• Seminar: Current Issues in Product Management (5 ECTS credits): This seminar explores current trends and challenges in the field of digital product management, providing students with insights into emerging technologies, best practices, and industry case studies.
• Elective A (10 ECTS credits): Students can choose from a variety of elective modules to specialize in areas that align with their career goals.
Some of the available electives include:
• Agile Social and Creative Methods
• Artificial Intelligence
• Big Data Applications
• Data Science and Analytics
• Data Miner
• Data Driven Marketing and Controlling
• Digital Transformation in Production
• Entrepreneurship and Disruptive Innovation
• Growth Hacking and Conversion Rate Optimization
• Manufacturing Methods Industry 4.0 and Internet of Things
• Salesforce Developer Specialization
• Process Management with Scrum
• Project Management with Prince2
• UI/UX Expert
• AI and Mastering AI Prompting
• Master Thesis (15 ECTS credits): Students will conduct independent research on a topic related to digital product management and write a thesis to demonstrate their understanding of the field and their ability to apply their knowledge to real-world problems.

Assessment:

The program utilizes a variety of assessment methods, including:

• End-of-module exams: These exams assess students' understanding of the core concepts and principles covered in each module.
• Assignments: These assignments allow students to apply their knowledge to real-world scenarios and demonstrate their ability to analyze data, solve problems, and communicate their findings effectively.
• Master thesis: The master thesis is a major assessment component that requires students to conduct independent research and write a comprehensive report on their findings.

Teaching:

The program utilizes a blended learning approach, combining online learning with live tutorials and individual coaching.

• Online learning: Students have access to a variety of online learning resources, including interactive lectures, videos, and quizzes.
• Live tutorials: Students can participate in live tutorials with instructors and fellow students to discuss course topics, ask questions, and receive feedback.
• Individual coaching: Students can receive personalized support from dedicated study coaches to help them with their studies and career development.

Careers:

Upon completion of the program, graduates will be well-prepared for a variety of career paths in the field of digital product management, including:

• Strategic Product Manager: Develop concepts for new products, manage a portfolio, plan budgets, and launch new products.
• Product Owner in Data Driven Products: Work at the intersection of data scientists and developers, using agile techniques and proposing innovative product ideas.
• Technical Product Manager: Develop technical concepts based on user-oriented standards, serving as a link between the market, technology, and clients.

Other:

• The program includes an AI prompt engineering course, teaching students how to effectively use tools like ChatGPT in their daily lives, work, and studies.
• Syntea, IU's AI-powered tutor, is available 24/7 to guide students through courses and prepare them for exams.

Starting from € 415 (US$ 449) per month

• based on the exchange rate from 31.07.2024 12:00 AM (CEST)
• All our study programmes include the following benefits:
Teaching and study material Marking of your end-of-module exams Monthly live and recorded tutorials Use of the online campus Individual study coaching Online exams Career coaching On-campus tutorials, 2-3x week