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Major in Data Science & AI

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Thanks to the rise of the digital economy, the volume of data created each year is literally exploding generating as many opportunities to better understand our world. On the other hand, generative AI is just creating a whole new spectrum of opportunities. This major takes you at the heart of these major shifts and equips you with the knowledge, skills and mindset to drive strategic decision making and change.

Introduction to the major in Major in Data Science & AI

Our program combines theoretical rigour with practical applications, ensuring you’re prepared for professional challenges. You’ll gain expertise in mathematics, statistics, data structuring, programming and machine learning, mastering descriptive, diagnostic, predictive, and prescriptive analytics to identify patterns and forecast trends with high accuracy. Training in ethics will also equip you with the awareness necessary to the manipulation of data and AI.

Our flipped classroom and small classes allow for a hands-on approach in close relation with your professors: through hackathons, simulations, and industry projects, you’ll apply theory to solve complex problems. This project-based approach ensures you gain relevant experience, autonomy and reliability in AI algorithm development and big data analysis.

By studying in three countries in a highly international community of students, you’ll acquire a global sensitivity and collaboration skills essential for working in highly diverse teams.

List of
courses

  • Quickly Master New Concepts
    You’ll rapidly acquire new knowledge, recognize patterns, and effectively apply learning strategies in data science and AI.
  • Master Core Techniques
    You’ll develop a strong command of key data science and AI techniques, backed by a deep understanding of their foundations in mathematics, statistics, and programming.
  • Solve Real-World Problems
    You’ll apply your knowledge of data science and AI to address real-world challenges across various industries and domains.
  • Understand Global AI and Data Challenges
    You’ll gain insights into important global issues like ethical AI use, data privacy, and inequality, enriched by studying in three different countries.
  • Evaluate and Validate Models
    You’ll learn to select and interpret performance metrics, such as accuracy, precision, and F1 score, and apply techniques like cross-validation and hyperparameter tuning to improve models.
  • Communicate Insights Effectively
    You’ll develop the ability to explain complex data science analyses and AI solutions to both technical and non-technical audiences in clear, impactful ways.
  • Collaborate in Interdisciplinary Teams
    You’ll work effectively in teams, often with members from diverse disciplines, fostering collaboration and innovation.
  • Handle and Visualise Data
    You’ll become proficient in data handling, analysis, and creating compelling visualizations to represent your findings.
  • Develop Strong Programming Skills
    You’ll master key programming languages and tools essential for data science and AI, enabling you to build and implement solutions.
  • Data Scientist/Machine Learning Engineer: Delve deep into data to build predictive models and algorithms, driving innovation and automating processes.
  • Business Intelligence & Analytics Consultant: Extract actionable insights from data to optimise business operations, influence strategy, and guide decision-making.
  • Quantitative & Risk Analyst: Apply mathematical and statistical methods in finance and business to predict, evaluate, and manage risks.
  • Data Visualisation & Customer Insight Specialist: Transform complex data into visual stories or insights to influence business decisions, especially in marketing and customer relations.
  • Supply Chain & Operations Analyst: Use data-driven approaches to optimize logistical and operational efficiency, ensuring smooth business flow.
  • Healthcare & Policy Data Analyst: Harness data to improve patient care, medical processes, or guide public policy decisions in the healthcare domain.
  • E-commerce & Marketing Analytics Manager: Optimize digital platforms and strategies using data to boost sales, customer engagement, and marketing efficacy.

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