Executive MSc in Artificial Intelligence
DURATION
1 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline *
EARLIEST START DATE
Apr 2025
TUITION FEES
EUR 18,700
STUDY FORMAT
Distance Learning, On-Campus
* EU students| 21st March 2025
Introduction
The DSTI Executive MSc in Artificial Intelligence is a comprehensive 120 ECTS master’s programme designed for experienced professionals. It combines in-depth scientific foundations with practical technological expertise and includes 500 hours of advanced training in Data Science, AI, Data Engineering, Analytics, and Cyber Security. The programme consists of a 4-6 month professional placement and offers industry-recognised certifications, equipping graduates for leadership roles in AI-driven innovation. With a strong emphasis on technical mastery and organisational strategy, the programme has a proven track record of upskilling team leaders and preparing future decision-makers across industries.
Features
- 120 ECTS
- Language: English
- Integrated Professional Experience
Campus
- Paris
- Nice Sophia Antipolis
- Online
Study Modes
- Full-Time Mode
- Self-Paced Online Course (SPOC)
Accreditation
As a front-runner in data and AI in France, DSTI offers a Bachelor's programme at RNCP 6. Our MSc programmes hold an RNCP 7 accreditation. DSTI is recognised under the 3IA Cote d’Azur Label for extensive AI content and proudly possesses Qualiopi RNQ certification, affirming the quality of our processes. Our Qualiopi certificate can be downloaded by clicking on this link.
Certifications
- AWS Certified Solutions Architect – Associate
- Neo4j Certified Professional
- Microsoft Power BI Data Analyst (PL-300)
- Microsoft Certified: Power Platform Functional Consultant Associate
Program Outcome
Accelerate Career Advancement with AI Expertise
Prepare professionals with 4+ years of experience to transition into senior technical roles, combining their industry knowledge with advanced AI skills for accelerated career progression.
Develop Strategic AI Leadership Skills
Equip experienced professionals with the ability to oversee AI-driven projects from a technical and strategic perspective, enhancing decision-making across complex IT environments.
Master Advanced AI Technologies
Enable participants to gain proficiency in cutting-edge AI tools like TensorFlow, Keras, and AWS, ensuring they can implement and manage sophisticated AI solutions in real-world scenarios
Integrate AI and Cyber Security for Industry Applications
Empower learners to understand and implement AI technologies alongside key cybersecurity principles, ensuring they can drive innovation while maintaining secure, scalable systems.
Career Opportunities
The Executive MSc in Artificial Intelligence at DSTI prepares experienced professionals for advanced leadership roles in AI across industries. Graduates are equipped to oversee AI-driven projects, manage interdisciplinary teams, and integrate AI strategies seamlessly into their organizations. With a curriculum blending technical mastery and strategic vision, this program positions professionals for significant career progression in the dynamic AI landscape.
Common Career Paths
- Data / AI Team Leader: Lead and coordinate teams of data scientists, engineers, analysts, and cybersecurity experts to drive AI initiatives
- AI Project Manager: Oversee the implementation of AI projects, ensuring their success across various sectors
- AI Strategy Consultant: Provide expert guidance to businesses, shaping their AI integration and fostering innovation
- Head of Data and AI: Strategise and manage AI initiatives, aligning them with organizational goals
- AI Solutions Architect: Design and supervise the development of AI solutions tailored to specific business needs
- Chief Technology Officer (CTO): Define and lead the technological direction of a company, focusing on transformative AI solutions
With the growing demand for AI expertise, graduates of this program are uniquely positioned to drive innovation, lead strategic initiatives, and achieve excellence in their organizations.
Curriculum
Data Science (125 hours)
The Data Science Teaching Unit of the Executive MSc in AI program forms the grounds for a solid understanding of the two branches of AI: statistical and connectionist (neural networks), and supplements them with symbolic AI for hybrid systems, all by providing ample theory and applications.
- Applied Mathematics for Data Science (25 hours)
- Foundations of Statistical Analysis & Machine Learning Part 1 (25 hours)
- Artificial Neural Networks (25 hours)
- Python Machine Learning Labs (25 hours)
- Semantic Web Technologies (25 hours)
Data Engineering (125 hours
The Data Engineering Teaching Unit the Executive MSc in AI programme provides all the experience on technologies and operational methodologies to endeavour a global understanding of data banks, flows, and exchange in and between information systems.
- Analysis & Design of Information Systems (25 hours)
- IT Project Management (25 hours)
- Data Wrangling with SQL (25 hours)
- Graph Databases - NoSQL Part 1 (25 hours)
- Data Pipeline Part 1 (25 hours)
Cyber Security & Cloud Engineering (125 hours)
The Data Analytics Teaching Unit the Executive MSc in AI programme offers the decision-making support component, at an incredible level of know-how, crossing methodologies, techniques, technologies, compliance, and a wide coverage of application domains.
- Advanced Excel for Data Analytics (25 hours)
- Reporting & Visualisation (25 hours)
- Data Analytics Domain Application (25 hours)
- CRM Data Management (25 hours)
- Data Laws & Regulations – Philosophies, Geopolitics & Ethics (25hrs)
Professional Experience (4 to 6 months)
After completing the coursework, students will be required to demonstrate a professional experience lasting between 4 to 6 months. This could take the form of an internship, employment, or contracting, as long as the standard DSTI evaluation procedures are met. This practical phase enables students to apply their learning in a working environment.
Technologies
- Python
- C
- C++
- R
- SQL
- Amazon AWS
- PowerBI
- Microsoft Dynamics
- PowerApps
- Advanced Excel
- Neo4j
- Semantic Web
- Keras
- TensorFlow
- MongoDB