Big Data Management and Analytics Paris-Saclay University

Overview

In today's digital age, data is a driving force across various sectors, presenting both opportunities and challenges. The M.Sc. in Big Data Management and Analytics (BDMA) at Paris-Saclay University addresses these complexities, preparing students to transform vast amounts of data into actionable insights. This programme is rooted in the Erasmus Mundus BDMA initiative, ensuring a globally recognised qualification that meets industry demands.

Paris-Saclay University is renowned for its cutting-edge research and strong industry partnerships, particularly in the field of data science. The university's strategic location within a vibrant technological ecosystem enhances students' learning experiences, providing access to state-of-the-art facilities and resources. The BDMA programme is designed to cultivate a deep understanding of data analytics, ensuring graduates are well-equipped to tackle real-world challenges.

For international and European students, the tuition fee for the M.Sc. in Big Data Management and Analytics is EUR 250 per year. Visit the Fees and Funding section for a breakdown in your local currency.

• Big Data Research Project
• Decision Modeling I
• Decision Modeling II
• Law & Intellectual Property
• Machine Learning I
• Machine Learning II
• Massive Graph Management and Analytics
• Visual Analytics I
• Visual Analytics II
• Long Internship

The first semester focuses on foundational courses that introduce students to essential models, algorithms, and technologies for managing and analysing large datasets. Students will engage in hands-on projects, enhancing their practical skills in data analytics.

The second semester is dedicated to a long internship, lasting between five to six months, allowing students to apply their knowledge in real-world settings. This experience is crucial for developing professional competencies and understanding industry expectations.

Throughout the programme, students will gain insights into ethical data management, machine learning techniques, and decision-making frameworks. The curriculum emphasises both theoretical knowledge and practical application, ensuring graduates are prepared for diverse roles in data science and analytics.

Graduates of the M.Sc. in Big Data Management and Analytics can pursue a variety of career paths. Common roles include Data Scientist, Digital Transformation Leader, and Data Specialist. Alumni have found positions in leading tech companies, research institutions, and innovative startups, contributing to projects that leverage data for strategic decision-making. The programme's focus on practical skills and industry collaboration enhances employability, making graduates highly sought after in the job market.