Abstract header with some color data

Certificate in Data Science

duration5 weeks
languageEnglish
locationMadrid
IntakeSummer 2025
Credits15 ECTS
Price5,900 €
duration5 weeks
languageEnglish
locationMadrid
IntakeSummer 2025
Credits15 ECTS
Price5,900 €

CERTIFICATE IN DATA SCIENCE

The Certificate in Data Science is designed to cultivate curiosity and equip participants with the skills needed for data-driven decision-making.

Throughout the program, you'll gain a thorough understanding of the data lifecycle, learning to acquire, clean, structure, store, manipulate, analyze, and visualize data from diverse sources to address complex business questions. This certificate goes beyond the basics, teaching you to identify patterns and leverage machine learning and analytical tools applicable across various domains, including marketing, product development, project management, and general business administration.

What sets this certificate apart is its inclusive approach, providing both theoretical knowledge and practical expertise through real-world data sets and insights from industry leaders. The emphasis on teamwork and data visualization further enhances your ability to deliver compelling presentations that effectively communicate the impact of data, ultimately setting you apart in the competitive landscape.

WANT TO KNOW MORE?
  • THIS PROGRAM IS FOR YOU IF…

    You are a current undergraduate student or recent graduate entering data science, wanting practical skills in machine learning, and keen on applying data science across industries. Whether you're launching a career or exploring the impact of data science, this program is tailored for you.

  • YOU SHOULD CONSIDER THIS CERTIFICATE BECAUSE...

    You want to start your data science journey—with no prior experience needed. Bridge the gap from academic theory to real-world applications, guided by experienced mentors who understand your transition from academia to industry. Gain the essential, in-demand skills for a successful career in data science.

  • YOU ARE LOOKING FOR...

    Practical "Real-World Projects" to apply your knowledge to industry challenges. This certificate concludes with a comprehensive "Capstone Experience," where you showcase your skills in a project that integrates all the key concepts you've learned.

Ready to make this summer count?

Elevate your skills and boost your resume with our exclusive summer certificate programs! Don't miss out on this chance to invest in yourself and pave the way for a brighter future.

2025 applications open soon

FIND OUT ABOUT UPCOMING INFORMATIONAL CERTIFICATE SESSIONS

Experience firsthand how we can help you achieve your goals and expand your skills. Register now for more details and secure your spot in our upcoming information sessions.

  • Lucia Mugica
    lucia.mugica@ie.edu

    ANY DOUBTS ABOUT THE CERTIFICATE?

    Please contact our program specialist for personalized advice on your specific case.

Three young professionals engaging in a discussion in a modern office environment.
Play

5 REASONS TO STUDY THE Certificate in Data Science Fundamental

  • 01.

    Job Opportunities

    Data science is one of the most in-demand skills in today’s job market. Companies need to strengthen their data-analysis capabilities and their ability to extract insights from data.

  • 02.

    A Prestigious Experience

    Because IE University is one of the most prestigious educational institutions in the world, your experience will add real value to your professional profile.

  • 03.

    Skills Accelerator

    The Certificate in Data Science is an investment in your career in data science, boosting your capabilities and adding hard skills to your profile.

  • 04.

    Fundamentals First

    This strong foundation not only provides a solid understanding of data science principles but also sets the stage for tackling more complex challenges and applications in the dynamic field of data science. 

  • 05.

    Menthorship & Guidance

    Gain insights and guidance from experienced data scientists who understand the journey from academia to industry.

A FLEXIBLE FORMAT

Face-to-face + Hybrid or Online Sessions + Asynchronous Work

IE University's certificates feature a dynamic academic format that combines face-to-face, hybrid, and online sessions with asynchronous learning. This approach blends online convenience with the engagement of traditional classes.

Face-to-face sessions encourage active community building and collaboration, while hybrid/online options provide learning flexibility for various lifestyles. Asynchronous work further enhances this model, allowing students to explore course materials at their own pace, fostering self-directed learning. This integrated approach ensures a versatile and immersive educational experience, catering to the diverse needs of modern students.

Two IE students during the Certificate in Data Science

STUDY PLAN AND COURSES

  • In this course, students gain an understanding of Data Science, exploring its process from data acquisition to analysis and visualization. It includes learning about essential tools and techniques, with practical applications such as predictive modeling and customer segmentation. The course aims to establish a solid foundational knowledge of Data Science and its real-world uses.

  • This course thoroughly introduces Python programming, covering syntax, data types, variables, control structures, functions, and key libraries. Students will learn to write basic Python code, utilize data structures like lists and dictionaries, and leverage scientific computing libraries such as NumPy and Pandas. These skills aim to enable students to effectively perform data analysis tasks in Python. 

  • Dive into the fundamentals of probability, descriptive, and inferential statistics. Students will explore various probability distributions (normal, binomial, Poisson) and their applications in modeling real-world phenomena. Key statistical techniques, including hypothesis testing and regression analysis, are introduced for practical use in Data Science. The goal is to equip students with the ability to apply statistical methods to real-world datasets effectively. 

  • These sessions focus on the essential process of data wrangling, transforming raw data into a usable format for analysis. You will navigate real-world data challenges, learning to address issues like missing values, inconsistent formats, and outliers using Python and its libraries, especially Pandas. The course also introduces regular expressions for text pattern manipulation. By its conclusion, you'll be proficient in the data wrangling process, and adept at preparing real-world datasets for thorough analysis. This skill is key for anyone stepping into the world of Data Science. 

  • This course introduces the fundamentals of SQL, a pivotal language for managing and querying data in relational databases. You'll learn how to craft SQL statements for data extraction, perform aggregations, and effectively join multiple tables. The course also covers the use of database management systems like MySQL and demonstrates connecting to databases using Python and libraries like SQLAlchemy. By the end, you'll be equipped to write basic SQL queries and understand how to employ SQL in Data Science for data preparation and analysis. 

  • Dive into data exploration and visualization with this course, where you'll learn to analyze data for insights and patterns using Python, Pandas, and Matplotlib. Gain skills in data summarization, hypothesis testing, and using a range of visualization techniques like bar charts and scatter plots. You'll also grasp basic statistical concepts to better interpret data sets. By the end of the course, you'll be adept at uncovering relationships between variables, spotting outliers, and conveying insights through compelling visualizations. 

  • This course introduces the fundamentals of machine learning, encompassing both supervised and unsupervised learning algorithms. You'll learn about key algorithms like linear regression, k-nearest neighbors, decision trees, and k-means clustering, and their application in solving real-world problems. The course also covers the basics of model evaluation, focusing on metrics like accuracy, precision, recall, and F1 score, to assess algorithm performance. By the end, you'll have the ability to apply various algorithms to real-world datasets. 

  • These sessions offer a primer on deep learning, emphasizing artificial neural networks. You'll learn to use frameworks like TensorFlow and PyTorch for tasks such as image classification and natural language processing. Advanced techniques, including convolutional and recurrent neural networks, are also covered. Upon completion, you'll be adept at building and training neural networks for various applications, a crucial skill in modern data science. 

  • Explore the realm of big data, focusing on its distinct challenges and processing techniques. Learn the differences between big data and traditional data, and how to solve complex problems using tools like Apache Spark for distributed computing. You'll be equipped with a thorough understanding of big data concepts and the skills to apply advanced processing techniques in real-world scenarios. 

  • This course addresses crucial ethical considerations in Data Science, including privacy, bias, and fairness. Students will explore the ethical implications of handling sensitive data and learn strategies to ensure responsible and secure data usage. The course also delves into the challenges of algorithmic bias, guiding students on creating fair and unbiased models. Students will know how to apply these best practices in a responsible and ethical manner. 

  • A man and a woman smiling while holding a diploma in front of a congratulatory banner at IE University.
    Play

    Dive into the real-world challenges of HR and staffing with our Capstone Project in collaboration with GI Group, a global HR recruiting firm staffing over 150,000 people worldwide. This hands-on project will consolidate your data science expertise as you perform an Exploratory Data Analysis (EDA) on GI Group's operations data.

    Over the course of the project, you will engage directly with GI Group's executive team, responding to some of their most complex, data-driven questions. Your mission is to uncover insights and trends within their vast datasets, providing actionable recommendations that could shape the future of their global operations

    UNLOCKING INSIGHTS: EXPLORATORY DATA ANALYSIS FOR GLOBAL HR EXCELLENCE Ready to make this summer count? 

    This Capstone Project is your chance to demonstrate your readiness to impact the business world, tackling real challenges and delivering solutions that matter. Join us and turn data into decisions, all while making a significant contribution to one of the leading HR firms in the industry.

*This study plan is under revision and may be subject to change.

CONTACT THE ADMISSIONS DEPARTMENT FOR DETAILS AND UPDATES 

A MESSAGE FROM THE ACADEMIC DIRECTOR

  • Ivan Martin – Certificate in Data Science Academic director

    Ivan Martin – Academic director

    Step into the world of data science with confidence. Our course is your perfect launchpad into a career filled with opportunities and growth in the field of data science.

Play
Play

EXPERIENCE MADRID

Madrid is one of the most popular cities in Europe for Gen Z travelers and one of the most student-friendly cities in Spain. Offering an affordable public transport network, cool underground culture and fabulous nightlife, Spain’s capital is also home to international companies of stature, including Google, Microsoft and Apple, creating a myriad of opportunities for professional experience.


Madrid is in a league of its own and provides the perfect backdrop to round off a unique educational experience.

Ready to make this summer count?