Dual Degree in Business Administration + Data & Business Analytics - Study PlanDrive business innovation with data insights
A Unique Dual Degree in Business Administration + Data & Business Analytics
The Dual Degree in Business Administration + Data & Business Analytics aims to teach young ambitious individuals to build the proper skill set to become professionals capable of facing real-world challenges.
Through our hands-on teaching methodology, students from the Dual Degree in Business Administration + Data & Business Analytics will find a perfect balance between what is studied throughout their degree and the projects that are applied based on real-world scenarios.
This will aid them to develop profiles that are able to adapt to new trends happening now in the 21st century.
- Basic courses
- Core courses
- Elective courses
- Final project
- Credits needed to graduate
Note: This study plan may be subject to change.Contact the Admissions Department for details and updates
Your journey into the world of business and data analytics will begin the minute you arrive on campus. Right from the start you will be introduced to both sides of the Dual Degree, incorporating fundamental knowledge from both disciplines. By studying modules such as Financial Accounting, Microeconomics, Technological Trends Today, and Corporate Finance, you will soon learn how both sides of your degree align and fit together. Through studying our new module, Computational Thinking for Data and Business Analytics, you will acquire the skills necessary for challenges in the upcoming years. Finally, your learning will be complemented by our IE Modules: Humanities and Writing Skills, which will provide you with the necessary foundations to move into your second year.
This year your studies will be broadened to incorporate a wider range of analysis techniques, including: Programming for Data Management and Analysis, Financial Reporting and Analysis, and Forecasting and Time Series Analysis. You will also see a shift towards a more technical approach to analysis too, incorporating Algorithm and Data Structures and Operating Systems and Parallel Computing. Finally, you will have the opportunity to take part in our Datathon and add valuable experience to your portfolio. The Datathon is an intensive competition which involves putting all that you’ve learned so far to the test and solving a real-life business problem, incorporating your acquired knowledge of crunching numbers and analyzing data.
During your third year at IE University you will attend hands-on classes, experimenting with AI (Foundations and Analytics), Advanced Databases, and Data Visualization, Dashboards, and Storytelling. This year will also see the introduction and move towards more theoretical processes, where you will study modules such as Organizational Behavior, Business Law, Human Capital Management, and Supply Chain Management. The Datathon will again play a big part in your third year, to help hone in all the skills you have learned so far. Finally, you will experience the IE Challenge module, focusing on the basic skills that reflect the university’s culture and vision and therefore helping to shape you into a diverse, innovative individual.
In the first semester of your fourth year, you will have the opportunity to do an internship or partake in an exchange. As a student at IE University, you will have access to internships at leading global organizations, or if you prefer, you can study at one of our respected partner institutions from around the world. Either option will equip you with invaluable experience that will set you apart from other candidates when entering the job market. This will be accompanied by essential career preparation and design, as well as a more personalized student-centered approach to learning in which you are able to choose your electives. The second half of the year will see a greater focus on the Data Business Analytics side of the degree, incorporating modules such as Big Data Technology, Project Management, and Stream Analytics. Finally, you will gain a firsthand insight into the professional workplace by taking our Strategies for a Multinational Corporation module.
Your fifth and final year of studies at IE University is all about preparing you for your journey into the professional world. You will be exposed to modules covering Advanced Topics such as Connected Industries, Smart Cities and e-Governments, and Sales and Marketing Analytics. You will take part in the Datathon; however, now in your final year, the degree of difficulty will match your increased knowledge of both Business Administration and Data & Business Analytics. Your final year aims to encourage you to create your own unique study program. You will have the opportunity to follow your personal area of interest by choosing electives geared towards your chosen career path. You’ll also complete your Final Project, in which you will bring together all that you’ve learned during your studies to solve a problem or challenge chosen by you. This can be based on knowledge learned throughout the course as well as experiences with internships or on exchange (all under the guidance of an academic advisor).
- Analyze companies’ needs to adapt instruments, products and services to their specific features.
- Organize and plan for situations that pose a challenge for decision-making in light of a company’s internal problems.
- Collect, analyze and summarize information from different sources in order to later apply it to business management.
- Ability to communicate in English orally and in writing.
- Adapt a company’s products and services using data analysis instruments.
- Define mechanisms enabling adaptation to new situations in the business environment.
- Identify, contextualize, analyze and formulate solutions to complex problems in multidisciplinary environments using logical methods.
- Apply systems and processes through their modeling and analysis with the aim of analyzing their dynamics and identifying the keys to their influence and development.
- Transform large volumes of data into information and formulate contextualized solutions from a social and business management point of view.
- Understand innovation as a force for positive change and the methods that render it a tool for the identification and implementation of change.
- Apply the different computer technologies that form the current work ecosystem for the management, analysis and visualization of data.
- Develop communication techniques to become capable of presenting proposals, projects and the results of analyses coherently and effectively.
- Use critical and self-critical thinking effectively during the execution of both individual and group tasks.
- Apply solutions that are efficient in a competitive market based on national and international economic knowledge.
- Manage a small company or organization, understanding its competitive and institutional position and identifying its strengths and weaknesses.
- Understand the duties of the different management bodies of a medium or large company or organization in order to perform the management tasks entrusted to it.
- Evaluate a company’s current situation and foreseeable future in terms of specific situations and markets, using relevant records to enable decision-making.
- Create management projects for a company as a whole or its different functional units, identifying relevant economic information sources and their contents.
- Recognize a company’s economic, global and structural situation within the labor market in which it operates, including the subject and/or the company.
- Interpret the current socioeconomic context based on basic historical, philosophical and political knowledge.
- Apply the appropriate business diagnostics tools and techniques to each stage of development in order to obtain better evaluation and decision-making at a company.
- Use the most appropriate models and research methods for a given company in light of its context and normal spheres of business development.
- Use knowledge of information and communication technologies in all professional activities.
- Apply professional judgment based on using technical instruments to analyze problems.
- Identify and manage the conditions enabling employees’ personal development in everyday strategic business settings.
- Identify the differences, problems and needs present within an organization in order to properly manage them.
- Access, recognize and use relevant data and information in business settings.
- Create recommendations for action by applying the legal framework in force.
- Use cost accounting to make company decisions in collaboration with different corporate stakeholders.
- Apply novel business ideas in order to design an entrepreneurial reality.
- Use market strategies in different sectors analytically.
- Compile, distribute and present statistical data for software development in economics settings.
- Apply IT solutions to corporate issues, taking the latest advances in the sector into consideration.
- Critically analyze data and analysis systems identifying the most appropriate storage, processing, modelling and analysis methods according to the study aims.
- Understand the different types of data, including the diversity of sources, formats, quantity, quality and usefulness in terms of being amenable to analysis.
- Apply a variety of techniques related to data mining, algorithm-based machine learning, predictive models and the classification and segmentation of data from different sources and formats.
- Use visualization tools to explore data, reveal patterns and communicate results to others in order to facilitate decision-making.
- Design, perform and analyze experiments and other forms of data-driven applied research as a way to test ideas and hypotheses and draw conclusions.
- Acquire competences in the collection, management, cleaning, structuring, storage and consultation of data both manually and through computer programming.
- Work effectively with data within organizations’ technological ecosystems.
- Methodically design and carry out analytical projects in multidisciplinary environments.
- Understand and apply programmatic and algorithmic thinking for the execution of the different phases of business analytics, including knowledge of the main tools used.
- Incorporate statistical models into technological tools and smart machines dedicated to data analysis.
- Apply the knowledge and methods of data analytics to functional areas and business sectors in order to improve their performance, identify opportunities and respond to existing and/or emerging problems.
- Understand the nature of business, its internal structure and its scope of action from a social (society) and individual (consumer, interest groups, etc.) point of view.
- Know the principles that govern the behavior of individuals and groups as well as the fundamentals of social activity in the business field.
- Identify the main cultural identity traits that characterize today’s world by understanding the main contemporary ideological trends.
- Behave professionally in accordance with the core principles and ethics of the profession.
- Manage unforeseen situations by being able to adapt to organizational changes.
- Use knowledge of the discipline to analyze and evaluate current situations.
- Form a part of interdisciplinary and multicultural teams to achieve shared goals in a diverse environment.
- Work actively in an international context.