DevOps and Cloud Computing Master's

Program Overview

The Master in DevOps and Cloud Computing is a comprehensive program designed to equip students with the skills and knowledge necessary for a successful career in the IT industry. Through a combination of online learning, AI support, and project-based assessments, the program covers key areas such as DevOps principles, cloud computing technologies, agile software development, cyber security, and data protection, preparing graduates for roles such as DevOps Cloud Engineers, DevOps/MLOps Consultants, and (Multi-) Cloud Solution Architects.

Program Outline

Degree Overview:

The Master in DevOps and Cloud Computing is a 120 ECTS credit program designed to equip students with the skills and knowledge necessary for a successful career in the IT industry.

• Gain expertise in cloud computing technologies and architectures.

• Develop skills in cyber security and data protection.

• Prepare students for roles such as DevOps Cloud Engineer, DevOps/MLOps Consultant, and (Multi-) Cloud Solution Architect.

Outline:

Semester 1:

• Agile Software Development Techniques and Methods (5 ECTS credits): This module covers the principles and practices of agile software development, including methodologies like Scrum and Kanban.
• DevOps (5 ECTS credits): This module delves into the core principles and practices of DevOps, including continuous integration, continuous delivery, and automation.
• Advanced Research Methods (5 ECTS credits): This module equips students with the skills to conduct research in the field of DevOps and Cloud Computing.
• Project: Cloud Computing (5 ECTS credits): This project allows students to apply their knowledge of cloud computing to a real-world scenario.

Semester 2:

• Product Development (5 ECTS credits): This module covers the principles and processes involved in developing software products, including product management and design thinking.
• Project: Design Thinking (5 ECTS credits): This project allows students to apply design thinking principles to solve a real-world problem.
• Seminar: Applying Threat Intelligence (5 ECTS credits): This seminar focuses on the practical application of threat intelligence in cyber security.
• Container Orchestration (5 ECTS credits): This module covers the concepts and technologies behind container orchestration, including tools like Docker and Kubernetes.
• Project: Container Orchestration (5 ECTS credits): This project allows students to build and deploy containerized applications using orchestration tools.

Semester 3:

• Cyber Risk Assessment and Management (5 ECTS credits): This module explores the process of identifying, assessing, and managing cyber risks.
• Seminar: Computer Science and Society (5 ECTS credits): This seminar examines the social and ethical implications of computer science and technology.
• Elective A (10 ECTS credits): Students choose one elective module from a range of options, including:
• IT Governance, Compliance and Project Management
• Secure Software Development
• Audit- and Security Testing
• Prerequisites for Machine Learning
• Sustainable Corporate Development
• Elective B (10 ECTS credits): Students choose one elective module from a range of options, including:
• Aspects of Modern Business Communication
• Machine Learning and Deep Learning
• Process Management with Scrum
• Internet of Things and Ethical Reflection in Management
• IT Services and Architecture Management
• Project Management within Operations
• Management Consulting
• E-Commerce
• IT Law for IT Security
• AI and Mastering AI Prompting

Semester 4:

• Master Thesis & Colloquium (30 ECTS credits): Students conduct independent research and write a master's thesis on a topic related to DevOps and Cloud Computing.
They also participate in a colloquium to present and discuss their research findings.

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.
• Projects: Projects allow students to apply their knowledge and skills to real-world scenarios.
• Seminars: Seminars provide a platform for students to engage in discussions and present their ideas.
• Master's thesis: The master's thesis is a major assessment component that requires students to conduct independent research and demonstrate their ability to apply their knowledge to a specific problem.

Teaching:

• Online learning platform: The program is delivered through an online learning platform, providing students with flexibility and accessibility.
• Live and recorded tutorials: Regular live and recorded tutorials are conducted by experienced faculty members.
• Individual study coaching: Students can receive individual study coaching from dedicated study coaches.

Careers:

Upon completion of the program, graduates are well-prepared for a variety of roles in the IT industry, including:

• DevOps Cloud Engineer: Responsible for designing, implementing, and managing CI/CD pipelines, integrating development infrastructure with IT operations, and providing automated IT infrastructure for self-service.
• DevOps/MLOps Consultant: Provides technology consulting services to organizations, ensuring the adoption of DevOps methodologies, developing agile process approaches for digitalization strategies, and addressing challenges in specialized DevOps tasks like DataScience and Machine Learning.
• (Multi-) Cloud Solution Architect: Focuses on creating and designing cloud architectures, securing data using cloud solutions and security principles, designing and deploying infrastructure as code, and collaborating with IT staff on cloud migration and sourcing of IT services.

Other:

• AI prompt engineering course: The program includes a course on AI prompt engineering, teaching students how to effectively use tools like ChatGPT in their daily lives, work, and studies.
• Recognition of prior learning: Students can apply for recognition of prior learning to potentially skip modules or semesters based on their previous academic achievements or professional experience.
• 4-week money-back guarantee: IU offers a 4-week money-back guarantee for students who are not satisfied with the program within the first four weeks of their studies.

Tuition fees depend on your chosen study models. Here's the breakup of tuition fees for different models:

• Full-Time
Duration: 24 Months Tuition Fees: US$ 602 /mth
• € 496
• Part-Time I
Duration: 36 Months Tuition Fees: US$ 452 /mth
• € 377
• Part-Time II
Duration: 48 Months Tuition Fees: US$ 356 /mth
• € 299
Career coaching is available for Bachelor’s degree students (with at least 120 ECTS credits) and Master’s degree students.