Data Engineering for Artificial Intelligence Data ScienceTech Institute

Overview

Why Applied MSc in Data Engineering for Artificial Intelligence at Data ScienceTech Institute?

The Applied MSc in Data Engineering for Artificial Intelligence at Data ScienceTech Institute (DSTI) is meticulously crafted to address the increasing demand for skilled professionals adept in managing data storage and pipelines, as well as implementing AI algorithms. As organisations transition from the broad ‘all data science’ approach, they recognise the critical need for efficient management of diverse data types and volumes, ranging from small tabular datasets to extensive unstructured data. This specialised branch of computer engineering encompasses a variety of activities, and our programme equips you with essential skills such as:

• Designing and operating IT architectures, including cloud computing solutions.
• Developing and managing data storage solutions tailored to organisational needs.
• Implementing and operating data pipelines that facilitate seamless data transfer between systems.
• Handling various data forms and volumes effectively.
• Employing software engineering practices across multiple programming languages.
• Utilising modern DevOps methodologies and CI/CD integration throughout the development lifecycle.

To proficiently implement AI, a solid understanding of the applied mathematics underlying artificial intelligence is essential. This is a core focus of AI Engineering. DSTI’s Applied MSc in Data Engineering for AI uniquely merges data engineering skills with the science and applications of machine learning, providing a comprehensive pathway to becoming an Artificial Intelligence Engineer.

The programme is structured to grant 120 ECTS credits, comprising 800 hours of actual classes, equivalent to 90 ECTS, alongside a 75-hour technical proficiency warm-up and 45 hours of support sessions. The professional experience phase, valued at 30 ECTS, enables students to engage in internships or apprenticeships, providing practical exposure to data engineering.

Students can choose between a full-time mode, which spans two years and includes two data-related internships, or a part-time apprenticeship mode that combines work and study. The latter is exclusively available to EU students or those holding long-term visas in France. Additionally, DSTI offers a blended learning option for professionals aged 30 and above, allowing flexible completion of the programme through online coursework and live sessions.

Throughout the programme, students will engage with hands-on projects and prepare for internationally recognised certifications, enhancing their employability upon graduation. The curriculum encompasses various modules, including Software Engineering, Data Management, Operational Methodologies, and Data Science, ensuring a well-rounded education.

Moreover, DSTI boasts strategic partnerships with key organisations such as AWS, Microsoft, and SAS, ensuring that the syllabus remains current and relevant to industry standards. This collaboration enriches the learning experience, providing students with access to cutting-edge resources and technologies.

In terms of career prospects, the Applied MSc in Data Engineering for AI positions graduates for success in various roles, including Data Engineer, Machine Learning Engineer, and Cloud Solutions Architect. With a remarkable 95% of students securing internship offers within six months, and two-thirds receiving permanent job offers post-internship, the programme is a gateway to a flourishing career in the AI sector.

Visit the Fees and Funding section for a breakdown in your local currency.

Accreditation

All DSTI's Applied MSc programme are RNCP (National Registry of Professional Certification) Level 7 accredited.