Dual Degree in Business Administration + Data & Business Analytics - Study Plan

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A Unique Dual Degree in Business Administration + Data & Business Analytics

The study plan for the Dual Degree in Business Administration + Data & Business Analytics at IE University has been designed with the prestigious academic experience at its core, our academic faculty’s expert knowledge and research in each area, and the linkages between the University and the professional world.

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 the perfect ideal 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.
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STUDY PLAN

Year 1

1st semester

Courses
Type
ECTS
Fundamentals of probability and Statistics
Type Core
ECTS 6
Technology Trednds Today
Type Mandatory
ECTS 3
Financial accounting
Type Core
ECTS 6
Management tools and pricniples
Type Mandatory
ECTS 4
Modeling and simulation to understand change
Type Core
ECTS 6
Marketing fundamentals
Type Core
ECTS 3
Computational thinking for Data and business Analytics
Type Core
ECTS 6
Humanities I
Type Mandatory
ECTS 3

2nd semester

Courses
Type
ECTS
Building powerful relationships
Type Mandatory
ECTS 5
Data insight and Visualization
Type Core
ECTS 3
Fundamentals of Data Analysis
Type Mandatory
ECTS 6
Maths for data management and analysis
Type Core
ECTS 6
Microeconomics
Type Core
ECTS 6
Cost Accounting
Type Core
ECTS 6
Corporate finance
Type Core
ECTS 3
Writting skills
Type Core
ECTS 4

Year 2

1st semester

Courses
Type
ECTS
Probablity and Statistics for management and analysis
Type Core
ECTS 6
Algorithim and Data Structures
Type Core
ECTS 6
Capital Market
Type Mandatory
ECTS 6
Marketing management
Type Mandatory
ECTS 5
Enterpreunership and innovation
Type Mandatory
ECTS 5
Programming for Data Management & Analysis
Type Mandatory
ECTS 6
Marketing project-practical
Type Mandatory
ECTS 2

2nd semester

Courses
Type
ECTS
Forecasting and Time Series Analysis
Type Mandatory
ECTS 6
Operating Systems & Parallel Computing
Type Mandatory
ECTS 6
Advanced Data Structures and Storage
Type Mandatory
ECTS 6
Financial reporting and analysis
Type Mandatory
ECTS 5
Operation management
Type Mandatory
ECTS 5
Business-driven information
Type Mandatory
ECTS 3
Macroeconomics
Type Core
ECTS 6
Datathon
Type Mandatory
ECTS 3

Year 3

1st semester

Courses
Type
ECTS
management control
Type Mandatory
ECTS 5
AI - Machine Learning Foundations
Type Mandatory
ECTS 6
Strategies for competition in industries and markets
Type Mandatory
ECTS 6
Advanced Databases
Type Mandatory
ECTS 6
Business law
Type Mandatory
ECTS 4
Organizational behavior
Type Mandatory
ECTS 3
IE Challenge
Type Mandatory
ECTS 6

2nd Semester

Courses
Type
ECTS
AI - Machine Learning & Analytics
Type Mandatory
ECTS 6
Analyzing Social Media
Type Mandatory
ECTS 3
Data Visualization, Dashboards and Storytelling
Type Mandatory
ECTS 3
Recommendation Engines
Type Mandatory
ECTS 6
Human Capital management
Type Mandatory
ECTS 6
global economic environment
Type Core
ECTS 6
Supply chain management
Type Mandatory
ECTS 3
Datathon
Type Mandatory
ECTS 3

Year 4

1st semester

Courses
Type
ECTS
Career Preparation and Design
Type Mandatory
ECTS 3
Electives
Type Electives
ECTS 30

2nd semester

Courses
Type
ECTS
Designing Artificial Intelligence & implementing smart technologies
Type Mandatory
ECTS 6
Project Management
Type Mandatory
ECTS 3
Professional bootcamp - self management
Type Mandatory
ECTS 3
Big Data Technology
Type Mandatory
ECTS 6
Stream Analytics
Type Mandatory
ECTS 6
Strategies for multinational corporation
Type Mandatory
ECTS 6
NLP, Text mining and semantic analysis
Type Mandatory
ECTS 6

Year 5

1st semester

Courses
Type
ECTS
Advanced Topic - Connected Industries, Smart Cities & e-Governments
Type Mandatory
ECTS 3
Disruptive strategies
Type Mandatory
ECTS 6
Electives
Type Electives
ECTS 28

2nd semester

Courses
Type
ECTS
Datathon
Type Mandatory
ECTS 3
Emerging Topics in Data Analysis and Management
Type Mandatory
ECTS 6
Advanced Topic - Sales & Marketing Analytics
Type Mandatory
ECTS 3
Final Project
Type TFG
ECTS 24
Components
Credits
Basic courses
79
Core courses
205
Elective courses
58
Final project
24
Credits needed to graduate
366

Note: This study plan may be subject to change.

Contact the Admissions Department for details and updates

FIRST YEAR

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.

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.

THIRD YEAR

Your third year at IE University will involve a shift to Madrid where 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.

FOURTH YEAR

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.

FIFTH YEAR

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).