Engineer in Software Engineering, DevOps & Site Reliability Engineering

General Objectives

This program aims to train engineers capable of designing, developing, deploying, operating and maintaining robust, scalable and secure software systems. It integrates modern software engineering principles such as DevOps and Site Reliability Engineering (SRE) practices. Graduates will be able to handle automation, ensure software quality, enhance system resilience, and foster collaboration between development and operations teams to meet the demands for agility, performance, and high availability in software systems.

Specific Objectives

Equip students with the necessary skills and techniques to:

- Design and deploy resilient and scalable distributed software applications using advanced architectures and techniques such as microservices architecture, REST APIs, containerization (Docker), and orchestration (Kubernetes).

- Implement comprehensive software testing strategies, including unit, integration, functional, and non-functional tests, with automation using appropriate frameworks and tools.

- Drive software quality through tool-supported practices such as code reviews, continuous integration, static analysis, code coverage measurement, and technical debt tracking.

- Apply DevOps methods to automate continuous integration, continuous deployment (CI/CD), infrastructure as code (IaC), and ensure fast and reliable software delivery.

- Manage and effectively utilize structured and unstructured data through relational databases, NoSQL databases, and Big Data ecosystems, using analysis and visualization tools.

- Implement Site Reliability Engineering (SRE) principles to ensure resilience, performance, and high availability of production systems through observability, incident management, and service level objectives (SLOs).

- Adopt DevOps principles to automate the software lifecycle—from code to deployment—ensuring smooth collaboration between development and operations.

PROGRAM

Programming and Software Development

Algorithms, Data Structure and Complexity
Programming Workshop
Operational Research and Optimization
Object Oriented Development
Advanced Java
Advanced Algorithms and Data Structures.
Web & Mobile Development

Software Engineering, Quality and Testing

Software Engineering
Software Architectures
Design pattern
Foundations of Software Testing (ISTQB)
Functional Testing Tools & Automation
Non-Functional Testing Tools & Automation
Software quality: Tools and Methods
Agile Project Management

Databases and Big Data

Database Foundations
Database workshop
Database Engineering
NoSQL database,
Big Data Technologies and Frameworks
Big Data Visualisation
AI & Machine Learning

Systems, Networks and Security

Operating Systems,
Network Foundations and Service
Information Systems Security
IT Law, Data Protection and Ethics
Distributed Systems
Services & API
Observability of Distributed Systems

Cloud & DevOps

Virtualisation, Cloud & Containers
Cloud Practitioner
Cloud Architect
Micro Services & Orchestration (docker/k8s)
DevOps and SRE Principles and Practices
Continuous Integration/Deployment
Service Level Objectives

Soft Skills

Design Thinking
English-TOEIC Certification
Teamwork & Collaboration
IT Law & Data Protection
Business Communication
Entrepreneurship
Business Management

Co-op Program

Students can also follow this course on a work-study basis, which will allow them to obtain their bachelor's degree and gain professional experience at the same time.