PRE-PROGRAM. Pre-Program. Description. Before you start your master's journey, you’ll complete a pre-program designed to prepare you for success. You'll build confidence in Python, Linux, SQL, Excel, Github and quantitative methods, while sharpening your computational thinking. It also provides valuable career support, with specific guidance on job applications and interviews for digital innovation and tech roles.. Quantitative Methods. Quantitative Methods. This multimedia self-assessment tool has been designed to allow you to prepare yourself and achieve the basic quantitative concepts necessary for a successful beginning in your Master Program.. Excel. Excel. This course is a practical approach to Excel as tool to solve business problems. This course will help you understand the basic ways to work with Excel for Business. A final test will be included to check your understanding of this basic introduction and their level of Excel.. SQL. SQL. SQL is the language of the data, widely used in every company and one of the most used tools to do Analytics. During the master you will learn, starting from scratch, the SQL you need to know but the following online course will give you a very good introduction to this subject that will help you a lot during your Master.. Github. Github. Git Hub is an online hosting service that became the standard in many areas regarding software development, content repository and version controlling. Many open-source software projects are hosted and developed there.. Introduction to Python. Introduction to Python. Students in this course will be introduced to the powerful and accessible language of Python, widely used for example in the data science community. Python, known for its ease of use, will be one of the main languages that students will be using in this program, and one of the most used languages in the software developing world.. Computational Thinking. Computational Thinking. Students in this course will be introduced to computational thinking, learning the fundamental skills to approach problems in computer science and beyond. In this course students will understand the concept of computational thinking applied to problem solving, understand the main techniques to use when applying computational thinking: abstraction, decomposition, data representation and algorithmic thinking; and explore the ethical considerations that apply to computer science.. Linux. Linux. Linux is the most important operating system, and several technologies runs under Linux. Having knowledge of the most basic commands of Linux will be really helpful when students deal with some of the courses, for example when interacting through the command shell.. Careers Development. Careers Development. Every year we identify the need of assisting students from different backgrounds in mastering basic concepts that are essential for their Professional Development. This course will introduce students into the essential components of a job application package, while guiding them through the interview process. Making interviews in a tech environment is not easy, so the sooner we understand the steps to take and the skills to develop, the more probably we will succeed in an interview process.. Foundations Week. Foundations Week. This week preceding the start of the program is mandatory for all students. It marks a crucial stage in building the foundational knowledge and skills necessary for the program ahead.. Mathematics Fundamentals. This course introduces key mathematical concepts, including calculus, linear algebra, and descriptive statistics. Students will learn how these topics are applied to real-world problems in fields like computer science, robotics, and engineering. The course emphasizes critical-thinking and problem-solving skills essential for their future careers.. Programming Thinking. This course introduces fundamental programming concepts to students with varying levels of experience, focusing on how programming works and how to think programmatically. Through lectures and hands-on activities, students will learn to apply programming logic to solve real-world problems, using Python as their primary tool.
CORE PERIOD. TERM 1. Term 1 Description. This term provides a comprehensive training in the core pillars of computer science and digital innovation. Students enhance their skills in AI, machine learning, Python, software engineering, infrastructure and databases. They also develop leadership skills, allowing them to connect technical knowledge with business strategy from the very start.. Technology Leadership and Strategy. Students will explore the key elements of technology leadership, focusing on how to develop and implement strategies that align with business objectives. The course will equip students with the skills to lead technology-driven business strategies and manage innovation within organizations.. Mathematics and Algorithms for Computing. This course focuses on mathematical techniques and algorithmic strategies used in computing. Students will learn about algorithm complexity, optimization and mathematical models used to solve computational problems.. Computer Infrastructure and Networks. This course delves into the principles of computing infrastructure, focusing on networks, hardware and communication protocols. Students will explore how networks are designed, maintained and optimized for performance in various computing environments.. Data Architecture and Databases. Students will study the architecture and design of modern databases, learning how data is stored, managed and retrieved in computing systems. Topics include relational and non-relational databases, data modeling and query optimization.. Introduction to Software. Students will explore the fundamental concepts behind operating systems and software engineering. This course covers topics such as process management, memory allocation and system security, alongside software development methodologies and best practices in software engineering.. Programming with Python. Students will be introduced to Python programming, learning the syntax, structure and capabilities of the language. This course emphasizes the application of Python to solve real-world problems, covering data structures, control flow and functions.. Introduction to Artificial Intelligence and Machine Learning. This course provides a foundational overview of artificial intelligence (AI) and machine learning (ML), focusing on key concepts, methods, and applications. Participants will explore how machines can learn from data, identify patterns, and make predictions, while gaining an understanding of the ethical and societal implications of AI. Through practical examples and introductory exercises, students will develop the skills to recognize AI opportunities, understand ML workflows, and appreciate how these technologies are shaping industries and everyday life.. TERM 2. Term 2 Description. In the second term, you’ll broaden your knowledge of how digital innovation transforms industries. From cloud computing and cybersecurity to emerging technologies, you’ll learn the technical fluency needed to design secure, scalable solutions. Courses on innovation and customer experience design will prepare you to explore digital markets, predict trends and build products that resonate with users.. Programming with Python II. This course builds on foundational Python skills to explore more advanced programming concepts and applications. Participants will deepen their knowledge of object-oriented programming, data structures, file handling, error management, and modular design. The course also introduces libraries and frameworks commonly used in data analysis, web development, and automation. Through hands-on coding exercises and projects, students will strengthen their ability to write efficient, reusable code and apply Python to solve real-world problems.. Innovation and Entrepreneurship. This course introduces the principles of innovation and entrepreneurship, equipping participants with the mindset, tools, and strategies to identify opportunities, develop creative solutions, and transform ideas into viable business ventures. Through case studies, practical exercises, and real-world applications, students will gain the skills to foster innovation, design business models, and navigate the challenges of launching and scaling new initiatives.. Cybersecurity. This course examines the foundations of cybersecurity, highlighting the risks and strategies involved in protecting today’s digital environments. As organizations become more digital and data-driven, protecting systems, information, and transactions from cyber risks has grown into an essential priority.. Emerging Technologies and Innovation. This course explores the impact of emerging technologies—such as artificial intelligence, blockchain, biotechnology, and advanced manufacturing—on business, society, and innovation. Participants will learn how to identify opportunities created by technological disruption, assess their potential, and apply innovative strategies to drive competitive advantage. Through case studies and practical exercises, students will gain insights into how organizations can harness new technologies to transform industries and create sustainable value.. Digital Marketing and Customer Experience Design. This course examines how digital marketing strategies and customer experience design intersect to build meaningful, lasting relationships with audiences. Participants will learn how to leverage digital channels, data-driven insights, and design thinking to craft engaging customer journeys. Through practical tools, case studies, and hands-on exercises, the course equips students with the skills to design customer-centric campaigns, optimize touchpoints, and deliver seamless, personalized experiences that drive loyalty and growth.. Cloud Computing. This course will equip students with the skills to design, deploy and manage cloud-based solutions. It explores the key concepts and technologies underpinning cloud computing, including virtualization, cloud architecture and service models (IaaS, PaaS, SaaS). Students will also learn about the security and scalability considerations in cloud environments.. Innovation for Digital Products Design. This course explores innovative approaches to conceiving, designing, and delivering digital products that meet evolving user needs. Participants will learn how to apply design thinking, user-centered methodologies, and emerging technologies to create impactful solutions. By combining creativity with practical tools for prototyping, testing, and iteration, the course prepares students to design digital products that drive value, enhance user experience, and foster innovation within organizations.
ELECTIVE PERIOD. TERM 3. TERM 3 DESCRIPTION. In the final term, you have the opportunity to customize your journey to align with your career ambitions by choosing one of four options. You can pursue a concentration in a high-demand digital innovation field, select electives to broaden your expertise, join an international exchange for global exposure at one of IE University's prestigious partner institutions, or complete a professional internship for real-world industry experience. This flexible structure allows you to tailor your academic journey to best support your professional path. Customize your learning journey In the third term, you can customize your learning to suit your interests and career objectives. You have the opportunity to choose from several options to fully personalize your learning: Option 1: Specialize for success Choose one concentration to advance your career: Emerging Tech and Product Design, Applied Analytics and Human-Centered Skills, Artificial Intelligence, or Next-Gen Enterprise Systems. Option 2: Broaden your skills with electives Choose the electives you desire, and gain a broader understanding across multiple fields. Some combinations of electives can be focused on a concentrated topic, such as Software Engineering or Smart Health, allowing you to tailor your studies to specific areas of interest. Option 3: Combine learning with real-world experience Select a few electives in combination with an internship to acquire practical experience in that field while increasing your expertise in specific or broader topics with some related electives. Option 4: Step into a global experience Enrich your learning journey with a global experience by choosing an exchange program, allowing you to broaden your perspective and engage with diverse universities and academic environments.. Concentrations. Concentrations. Concentrations. If you choose to do a concentration, you’ll be required to select at least 3 courses from your concentration, while the rest of your credits can be completed with electives, giving more flexibility to shape your learning journey around your interests and career goals.. Tab title. Emerging Tech and Product Design. Data Visualization. Students will learn the principles and techniques of data visualization, focusing on how to communicate data insights effectively. This course emphasizes the use of modern tools and platforms for creating compelling visualizations.. Spatial Computing: Augmented Reality (AR) and Virtual Reality (VR). This course explores the fundamentals of spatial computing with a focus on augmented reality (AR) and virtual reality (VR) technologies. Participants will examine how immersive environments are designed, developed, and applied across industries such as gaming, education, healthcare, and manufacturing. Topics include hardware and software ecosystems, user experience design, interaction models, and the integration of AR/VR into digital strategies. Through case studies and hands-on exploration, students will gain insights into how spatial computing is reshaping human–computer interaction and driving innovation.. Unmanned Aerial Systems. This course introduces the fundamentals of unmanned aerial systems, covering their design, operation, and applications across industries. Participants will explore UAS components, flight dynamics, navigation, and regulatory frameworks, while also examining the integration of drones into sectors such as logistics, agriculture, defense, and environmental monitoring. Through case studies and practical insights, students will gain an understanding of UAS technologies, opportunities, and challenges, preparing them to leverage drones in innovative and responsible ways.. Tech Product Management. This course provides a comprehensive introduction to product management in the technology sector. Participants will learn how to define product vision, translate customer needs into product requirements, and work with cross-functional teams to deliver successful digital solutions. Covering topics such as product lifecycle, agile methodologies, go-to-market strategies, and data-driven decision-making, the course equips students with the skills to manage innovation and lead products from concept to launch and growth.. Low Code & No Code. This course explores the rapidly growing field of low-code and no-code platforms that enable the creation of digital solutions without extensive programming knowledge. Participants will learn how to design applications, automate workflows, and integrate systems using visual development tools. Emphasis is placed on accelerating innovation, improving efficiency, and empowering both technical and non-technical professionals to build scalable solutions. Through hands-on practice with leading platforms, students will gain the skills to transform ideas into functional applications quickly and effectively.. Applied Analytics and Human-Centered Skills. Sales Engineering and Consulting Skills. This course teaches the essential skills for technology consulting and sales, focusing on the intersection of technical expertise and client relations. Students will learn how to effectively communicate technical solutions and drive client engagement, bridging technical and business needs within client organizations.. Data Analytics for Decision Making. Students will explore how data analytics is applied to business decision-making. The course covers key techniques for analyzing data and extracting actionable insights to support business strategies.. Low Code & No Code. This course explores the rapidly growing field of low-code and no-code platforms that enable the creation of digital solutions without extensive programming knowledge. Participants will learn how to design applications, automate workflows, and integrate systems using visual development tools. Emphasis is placed on accelerating innovation, improving efficiency, and empowering both technical and non-technical professionals to build scalable solutions. Through hands-on practice with leading platforms, students will gain the skills to transform ideas into functional applications quickly and effectively.. Ars Tecknica. This course explores the intersection of art and technology, examining how digital tools and emerging technologies are reshaping creative expression. Participants will engage with concepts such as generative art, interactive media, immersive environments, and creative coding. Through theory and practice, the course highlights how technology can be used not only as a medium but also as a catalyst for innovation in artistic processes. Students will develop projects that integrate aesthetic vision with technical skill, preparing them to navigate and contribute to the evolving landscape of digital creativity.. Stress and Self-Management. This course focuses on strategies and techniques to effectively manage stress and enhance personal well-being. Participants will explore the psychological and physiological aspects of stress, learn evidence-based methods for resilience, and practice tools for self-management, including time management, mindfulness, and emotional regulation. Through reflection and practical exercises, students will develop personalized approaches to maintain balance, improve performance, and foster long-term health in both professional and personal contexts.. Sports Analytics. This course introduces the use of data and analytics in the world of sports to improve performance, strategy, and decision-making. Participants will learn how to collect, interpret, and visualize sports data, applying statistical and machine learning techniques to evaluate players, teams, and game strategies. The course also explores applications in fan engagement, injury prevention, and business operations within the sports industry. Through real-world examples and hands-on projects, students will gain practical skills in leveraging analytics to drive insights and innovation in sports.. Artificial Intelligence. Reinforcement Learning and Autonomous Systems. This course explores reinforcement learning, focusing on how machines learn through interactions with their environment to achieve specific goals, with an emphasis on applications in robotics and autonomous systems. Students will learn to design and implement reinforcement learning algorithms for autonomous systems.. Advanced Machine Learning. Students will delve into advanced machine learning techniques such as unsupervised learning, neural networks and deep learning. The course also covers real-world applications and challenges in deploying machine learning models.. Deep Learning and Neural Networks. This course provides an in-depth understanding of deep learning, focusing on neural network architectures and their applications in fields such as image processing, speech recognition and natural language processing.. Generative AI and LLM (Large Language Models). This course covers the design and application of generative AI models, focusing on large language models such as GPT. Students will learn how these models are trained and deployed to create new content and enhance human-computer interactions.. Development of Data-Intensive Solutions. Students will learn how to design, develop and implement data-intensive applications using AI and big data technologies. This course emphasizes real-world applications and scalability challenges in order to equip students with the skills to build scalable, data-driven solutions for complex business challenges.. Data Analytics in the Cloud. Students will explore cloud-based data analytics solutions that support data-driven decision-making, learning how to manage and analyze large datasets in cloud environments. The course covers key tools and platforms for cloud analytics.. Next-Gen Enterprise Systems. Platform Business Models. This course introduces platform-based business models, focusing on how cloud and digital platforms enable new forms of value creation and competitive advantage.. Enterprise Management Systems. This course introduces enterprise resource planning (ERP) systems, covering their design, implementation and management. Students will explore how these systems support business operations and decision making.. Low Code & No Code. This course explores the rapidly growing field of low-code and no-code platforms that enable the creation of digital solutions without extensive programming knowledge. Participants will learn how to design applications, automate workflows, and integrate systems using visual development tools. Emphasis is placed on accelerating innovation, improving efficiency, and empowering both technical and non-technical professionals to build scalable solutions. Through hands-on practice with leading platforms, students will gain the skills to transform ideas into functional applications quickly and effectively.. Quantum Compting for Business. Apply quantum computing techniques to solve complex problems in business and financial sectors. Portfolio optimization, risk analysis, supply chain management, and strategic decision-making using quantum algorithms.. Cybersecurity Strategy, Entrepreneurship and Governance. This course explores the role of cybersecurity in corporate strategy, including governance frameworks, board-level reporting, risk appetite, and regulatory compliance (GDPR, HIPAA, etc.).. Process and Mining Automation. This course introduces process mining and automation as key drivers of digital transformation. Participants will learn how to analyze business processes using event data, identify inefficiencies, and apply automation technologies to optimize workflows. The course covers process discovery, conformance checking, robotic process automation (RPA), and intelligent automation tools. Through case studies and hands-on practice, students will gain the skills to design data-driven improvements, enhance operational efficiency, and support innovation with process intelligence.. Industry 4.0. This course explores the principles, technologies, and strategies driving the fourth industrial revolution. Participants will examine how innovations such as the Internet of Things (IoT), artificial intelligence, robotics, big data, and advanced manufacturing are transforming industries and business models. Emphasis is placed on understanding the integration of digital and physical systems, smart factories, and data-driven decision-making. Through case studies and practical insights, students will learn how to leverage Industry 4.0 to enhance efficiency, innovation, and competitiveness.. High Performance Computing. This course provides students with a comprehensive understanding of HPC architectures. Covering parallel programming paradigms, and optimization techniques, it enables to develop efficient solutions for complex computational problems in business and technology contexts.. AeroSpace Technology. COMPUTER VISION. This elective course offers an introduction to the principles and applications of Computer Vision, the field of computer science that enables machines to interpret and understand visual information from the world. Students will learn about image processing, feature detection, object recognition, and image classification, as well as explore techniques. Unmanned Aerial Systems. This elective course introduces students to Unmanned Aerial Systems (UAS), commonly known as drones, focusing on their design, operation, and diverse applications. The course covers the fundamentals of UAS components, flight dynamics, navigation, control systems, and mission planning. Students will also explore key regulatory, ethical, and safety considerations, as well as current and emerging uses of UAS in fields such as agriculture, surveillance, environmental monitoring, logistics, and disaster management. Practical sessions and case studies will help students develop hands-on skills in UAS operation and data analysis, preparing them for careers in this rapidly growing technological field.. Geoimaging and Geolocalization. This elective course explores the technologies and methodologies behind geoimaging and geolocalization, focusing on how spatial data is captured, processed, and used to understand and interact with the physical world. Students will study remote sensing, satellite and aerial imagery, GPS technologies, and geographic information systems (GIS). The course emphasizes image interpretation, spatial analysis, and location-based services, highlighting applications in urban planning, environmental monitoring, navigation, and smart cities. Through theoretical learning and practical exercises, students will gain the skills to analyze geospatial data and develop solutions that leverage location intelligence.. Space Supply Chain Technology. This elective course examines the emerging field of Space Supply Chain Technology, focusing on the unique challenges and innovations involved in supporting space missions and commercial space operations. Students will explore the design, management, and optimization of supply chains for space systems, including launch vehicles, satellites, space stations, and lunar or planetary missions. Key topics include logistics in extreme environments, space-grade manufacturing, risk management, regulatory frameworks, and the role of emerging technologies such as additive manufacturing, AI, and the like. The course combines theoretical foundations with real-world case studies to prepare students for careers in the evolving space industry and its global supply networks.. Space Tech Venturing. This elective course explores the intersection of space technology and entrepreneurship, focusing on how innovative ventures are driving the commercialization of space. Students will gain insights into the space tech startup ecosystem, investment trends, and the pathways for turning space-related innovations into viable businesses. Topics include opportunity identification, business model development, funding strategies, regulatory considerations, and go-to-market approaches specific to the space industry. Through case studies, guest lectures, and hands-on projects, students will learn how to evaluate, launch, and scale ventures in areas such as satellite services, space tourism, launch systems, and space-based data applications. The course is ideal for aspiring entrepreneurs, investors, and innovators seeking to participate in the New Space economy.. Exchanges. Exchanges. In the third term, you can also choose to expand your horizons by completing the Elective Period through an International Exchange at one of our leading global partner universities. During this period, you will deepen your academic knowledge, gain international exposure and broaden your professional network. Depending on the timing of the Electives Period, schools available for exchange may vary. Regardless, this program retains exchange agreements with:. Internships. During the third-term Elective Period, students who wish to gain specific, real-world experience in order to transition from one career to another can apply to do an internship. For this option, you must also complete three elective courses. You can apply for an internship in two ways: Through IE School of Science & Technology's diverse panel of partner companies, which may include international options. By finding an internship on your own and confirming with your course coordinator that it meets the conditions and eligibility criteria.. Electives. In the third term, you have the opportunity to customize your academic experience to your professional goals and personal interests by choosing from the following electives:. Platform Business Models. Sales Engineering and Consulting Skills. Data Analytics for Decision Making. Enterprise Management Systems. Data Visualization. Quantum Computing for Business. High Performance Computing. Cybersecurity Strategy, Entrepreneurship and Governance. Unmanned Aerial Systems. Low Code & No Code. Development of Data-Intensive Solutions. Reinforcement Learning and Autonomous Systems.. Advanced Machine Learning. Generative AI and LLM (Large Language Models). Deep Learning and Neural Networks. Data Analytics in the Cloud. Process and Mining Automation. Spatial Computing: Augmented Reality (AR) and Virtual Reality (VR). Sports Analytics. Ars Tecknica. Stress and Self-Management. Tech Product Management. Industry 4.0.
Capstone Projects. CAPSTONE PROJECTS . Students bring their knowledge to life through the Capstone Project. This hands-on experience allows them to conduct applied research, work on a corporate project with one of our leading industry partners or develop a digital innovation venture to solve real-world problems. As the final milestone of the program, the Capstone requires students to apply the knowledge and skills they've acquired. It demonstrates their ability to translate ideas into actionable results and provide optimal solutions for complex challenges. At the end of the project, each student will have developed a strong portfolio to prove their proficiency to potential employers.. CORPORATE PROJECT. The Corporate Project is a firsthand consulting experience in which students tackle real-world challenges faced by leading corporations and startups in the digital innovation space. Through the guidance of their mentor, students develop and present well-researched, actionable recommendations to tackle the complex problems brought to them by their corporate partner. This immersive experience enables the students to apply their expertise in digital innovation, data-driven solutions and emerging technologies within a dynamic, real-world environment.. VENTURE PROJECT. The Venture Project allows students to explore entrepreneurial opportunities in digital innovation, guiding them through the process of researching, validating and developing a Minimum Viable Product (MVP) or functional pilot. With a focus on bridging creativity and execution, the project aims to guide students in building startups that harness advanced technologies, digital innovation or disruptive business models.. RESEARCH PROJECT. Students who choose the Academic Research Project will apply knowledge gained across the program in areas such as cybersecurity, AI, emerging technologies or cloud computing to an in-depth, research-driven study. Guided by an experienced faculty researcher, students conduct a rigorous investigation into a chosen area of digital innovation. The project culminates in a formal academic paper presenting the findings, which will also include a literature review and a well-defined research methodology.
MAKE THE MOST OF YOUR PROGRAM. CERTIFICATIONS. Certifications. CERTIFICATIONS. This program helps you boost your career through certifications designed to strengthen your profile and support your progress along your chosen career path. You can earn the following certifications: Amazon Web Services Academy. Microsoft learn. AWS Certified Data Engineer. AWS Certified Cloud Partitioner. Certified Tableau Data Analyst. Certified Tableau Desktop Specialist. Google Associate Cloud Engineer. IBM Certified Specialist in AI Entreprise Workflow V1. Oracle Autonomous Database Specialist Certification. IE Certificate in Foundations of Sustainability.. Sustainabiility Certificate. In today’s world, organizations are placing sustainability and environmental, social and governance (ESG) concerns at the heart of their businesses. At IE, we offer an optional certificate to help you learn how to tackle these challenges and adopt a sustainability mindset. With the IE Certificate in Foundations of Sustainability, you’ll get prepared to tackle the social, economic and environmental challenges of today’s world in any organization. This certificate can be completed alongside your core studies. In order to earn the certificate, students must obtain ten relevant credits. Students may obtain these credits through eligible courses, electives, and extracurricular activities such as participation in certain student clubs. Some of the aforementioned may already be included in your program, while others will need to be added. Additionally, there’s one mandatory component, the Online Learning Journey. Maximum flexibility has been assured, providing several ways to earn the required number of credits.. Mentor Program. Mentorship program. The Tech Mentorship Program connects students with experienced professionals to support their growth in the tech industry. Through personalized guidance, skill-building, and network expansion, students gain the tools and confidence to succeed in diverse roles across the tech landscape.. International Experiences. Berkeley Immersion week. Berkeley Immersion Week. Fast track your tech career: Berkeley Immersion Week opens doors to Silicon Valley's top companies and minds.. Tech immersion week. Opportunities, challenges and networking. Experience global tech hubs such as Amsterdam and Dublin, among others, through the Global Immersion Week. This international journey offers the opportunity to visit leading companies, engage with industry professionals, explore diverse cultures, and gain valuable insights into the tech landscape and your future career.. Tech Initiatives. Berkeley Immersion Week. Joined by other students from IE School of Science & Technology, you'll participate in a hands-on, one-week program where you'll meet industry leaders from Silicon Valley.. Tech Venture Bootcamp. The Tech Venture Bootcamp is a pioneering 6-day program designed for innovators who are eager to create groundbreaking ventures in their own unique way.. IE Sustainability Datathon. The IE Sustainability Datathon is a data-driven sustainability challenge where students collaborate with an industry partner to analyze real datasets and design innovative solutions to environmental issues.. Rise Europe Alliance. The Rise Europe Alliance, comprising 20 academic and entrepreneurial institutions, shapes the next generation of European talent through diverse perspectives and collaboration, fostering global market success and driving innovation at its annual summit.. Management Xponential Technology (MXT). Designed for students with extraordinary ambition to transform the world through disruptive technologies, this program fosters a growth mindset and combines the expertise of IE School of Science and Technology and IE Business School. Students gain the knowledge, tools, and networks to create impact at the intersection of business and technology, while engaging with leading entrepreneurs, innovators, and global leaders who inspire their transformative journeys.. COMPANY VISITIS. Throughout the program, you’ll have the opportunity to visit leading tech companies, gaining first-hand exposure to cutting-edge technologies and connecting with professionals who are driving innovation in computer science and digital transformation. You'll visit companies such as:
