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).