Overview
The MBA in Computer Science with a specialization in Big Data, Artificial Intelligence (AI), and Machine Learning is an elite program that combines technical expertise with advanced managerial and leadership skills. Recognized with a Level 7 Certified Title and registered with the RNCP, this program is designed to equip professionals for high-impact roles in various industries, where the intersection of technology and business strategy is paramount.
Graduates of this program possess not only the technical acumen required to innovate and drive AI and data-centric solutions but also the strategic and leadership skills necessary to manage complex projects and lead interdisciplinary teams. With an average starting salary of €38,953, graduates are highly sought after in industries such as finance, logistics, consulting, insurance, and beyond.
Core Competencies
This MBA offers a comprehensive, two-year curriculum, structured around four main competency areas:
- Project Planning and Organization
This module equips students with the skills to design and lead software development projects from inception to completion. It includes technical auditing, project feasibility analysis, Agile methodologies (e.g., Scrum and SAFe), sustainable IT practices, and certification preparation. - Software Design and Development
Covering a spectrum of tools and technologies, this module develops students’ abilities to design, architect, and implement software solutions that meet complex business requirements. Core topics include systems modeling with BPMN, cloud computing, neural networks and deep learning, secure coding practices, and Java development. - Production Management and Solution Evolution
In this area, students learn to manage the production lifecycle of software solutions, including deployment, monitoring, and continuous integration. It emphasizes cybersecurity, distributed systems, blockchain technology, DevOps methodologies, and emerging technologies such as augmented and virtual reality. - Team and Project Leadership
Students gain essential people management and communication skills to lead high-performing software development teams. Topics include team dynamics, HR management, digital ethics, and advanced English for professional communication. Emphasis is placed on fostering collaboration, managing diversity, and preparing for leadership certification exams.
Detailed Program Modules
The curriculum is split across two academic years, each designed to provide a progressively deeper understanding of advanced technologies and managerial practices.
Year 1: Core Foundations
- Project Planning and Organization: Modules cover technical audits, Agile project management with Scrum, sustainable IT strategies, and project feasibility analysis.
- Software Design and Development: Students dive into business process modeling (BPMN), system architecture, cloud computing basics, neural networks, web development, and coding standards.
- Production and Solution Evolution: Focus on cybersecurity standards (ISO 27001), distributed systems, DevOps, and blockchain security.
- Team Leadership: Courses include team communication, HR fundamentals, digital ethics, and professional English preparation for the TOEIC exam.
Year 2: Advanced Specializations
- Advanced Project Planning: Certification-oriented project management, advanced Agile practices with SAFe, and security auditing.
- Advanced Software Development: Emphasis on AI techniques for big data, cloud orchestration, emerging technologies, machine learning, and natural language processing.
- Advanced Production Management: Topics include continuous integration, augmented reality, and advanced DevOps management.
- Advanced Team Leadership: Advanced leadership communication, team performance evaluation, and digital ethics related to AI.
Supplementary Modules and Professional Development
Alongside core modules, students have access to specialized workshops and conferences, including:
- Design Thinking workshops to cultivate creativity and innovation.
- Climate Change Awareness sessions to reinforce the importance of sustainable practices in technology.
- Industry Conferences where students can connect with thought leaders and explore cutting-edge developments in big data, AI, and machine learning.
Career Prospects
Graduates from the MBA program are prepared to assume leadership roles in data science, software engineering, and project management. Typical career paths include:
- Software Development Manager: Oversee the design, development, and deployment of software projects, ensuring alignment with organizational goals.
- Big Data Engineer/Architect: Develop data processing frameworks and data architecture solutions, ensuring data availability and usability for analytics.
- AI/Machine Learning Engineer: Create intelligent systems and predictive models using AI techniques and machine learning algorithms.
- IT Project Manager: Manage large-scale IT projects, balancing technical requirements with budget constraints and timelines.