Bachelor in Data and Business Analytics - Study Plan

Harness the power of data to transform the world
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A unique Bachelor in Data and Business Analytics

The study plan for the Bachelor in Data and 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 Bachelor in Data and 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 Bachelor in Data and 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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Bachelor in Data and Business Analytics Study Plan

Year 1

1st semester

Courses
Type
ECTS
Syllabus
Learning to Observe, Experiment & Survey
Type Core
ECTS 6
Fundamentals of Social Sciences
Type Mandatory
ECTS 6
Writing skills
Type Core
ECTS 3
Data Insights & Visualization
Type Core
ECTS 3
Introduction to Business Management
Type Core
ECTS 6
Fundamentals of Statistics and Probability
Type Core
ECTS 6

2nd Semester

Courses
Type
ECTS
Syllabus
Technology Trends Today
Type Mandatory
ECTS 3
Fundamentals of Data Analysis
Type Mandatory
ECTS 6
Simulating and Modeling to Understand Change
Type Core
ECTS 6
The Big History of ideas & Innovation
Type Core
ECTS 6
Presentation Skills
Type Core
ECTS 3
Fundamentals of Human Behavior
Type Mandatory
ECTS 6

Year 2

1st semester

Courses
Type
ECTS
Syllabus
Probability & Statistics for Data Analysis & Management
Type Core
ECTS 6
Mathematics for Data Analysis & Management
Type Core
ECTS 6
Algorithms & Data Structures
Type Core
ECTS 6
Programming for Data Analysis & Management
Type Mandatory
ECTS 6
Forecasting and Time Series Analysis
Type Mandatory
ECTS 6

2nd semester

Courses
Type
ECTS
Syllabus
AI - Machine Learning Foundations
Type Mandatory
ECTS 6
Data Structures and Storage
Type Mandatory
ECTS 6
Intro to Business and Social Analytics
Type Mandatory
ECTS 6
Operating Systems & Parallel Computing
Type Mandatory
ECTS 6
Seminar: Global Issues and Debate
Type Mandatory
ECTS 3
Professional Bootcamp: Teamwork
Type Core
ECTS 3

Year 3

1st semester

Courses
Type
ECTS
Analyzing Social Media
Type Mandatory
ECTS 3
Recommendation Engines
Type Mandatory
ECTS 6
AI - Machine Learning & Analytics
Type Mandatory
ECTS 6
Stream Analytics
Type Mandatory
ECTS 6
Big Data Technology
Type Mandatory
ECTS 6
Project Management
Type Mandatory
ECTS 3

2nd semester

Courses
Type
ECTS
NLP, Text Mining, and Semantic Analysis
Type Mandatory
ECTS 6
Designing Artificial Intelligence & Implementing Smart Technologies
Type Mandatory
ECTS 6
Advanced Databases
Type Mandatory
ECTS 6
Data Visualization, Dashboards & Storytelling
Type Mandatory
ECTS 6
Datathon for Social Impact
Type Mandatory
ECTS 3
Professional Bootcamp - Self Management
Type Mandatory
ECTS 3

Year 4

1st semester

Courses
Type
ECTS
Customer and Markets
Type Electives
ECTS 6
Talent and Professional Development
Type Electives
ECTS 6
Healthcare Delivery - Analytics, Financial Services
Type Electives
ECTS 6
Hospitality, Travel & Tourism
Type Electives
ECTS 6
Environment & Sustainability
Type Electives
ECTS 6

2nd semester

Courses
Type
ECTS
Emerging Topics in Data Analysis & Management
Type Mandatory
ECTS 6
Advanced Topic - Connected Industries, Smart Cities & e-Governments
Type Mandatory
ECTS 3
Advanced Topic - Sales & Marketing Analytics
Type Mandatory
ECTS 3
Advanced Topic - Health & Genetics Analytics
Type Mandatory
ECTS 3
Career Preparation & Design
Type Mandatory
ECTS 3
Capstone Project
Type FP
ECTS 12
Components
Credits
Core Courses
60
Obligatory Courses
138
Electives
30
Capstone Project
12
Credits needed to graduate
240

* Our career-focused electives and projects allow you to apply the knowledge and skills gained during your bachelor to a range of industries and job types. These electives will be taken alongside students of other HST Bachelors to develop your ability to work in multidisciplinary teams.
** This study is under review and may be subject to change.

Contact the Admissions Department for details and updates

Course descriptions

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Bachelor in Data and Business Analytics in a Nutshell

YEAR 1

During your first year, you’ll go through an introductory phase focused on the foundations of liberal sciences. You’ll learn about research methods and how they can be applied to solve technology-related problems through data, as well as issues in social and behavioral sciences. During this first year you’ll also study the fundamentals of business, statistics, technology and programming that you’ll need to become a successful data scientist.

YEAR 2

In your second year, you’ll study the latest technologies and tools available in the market that can be used to exploit the power of data. You’ll learn about programming, database modeling, machine learning, forecasting time series and big data technology. You’ll also gain the in-depth statistics and mathematics knowledge you’ll need to interpret and analyze data. Finally, you’ll participate in workshops and boot camps that will help you develop teamwork and other soft skills to build a strong professional profile.

YEAR 3

During your third year, you’ll dive into the data analytics technologies needed to harness the power of data. You’ll take hands-on classes in which you’ll learn by applying recommendation engines, advanced machine learning, cloud computing, semantic analysis, artificial intelligence and parallel computing technologies to real-world challenges. In this year you’ll also participate in a datathon: an intensive competition where you’ll have to apply all that you’ve learned up to this point in order to solve a real business problem by using, crunching and analyzing data.

YEAR 4

In your last year, you’ll be exposed to the professional world through specializations oriented toward certain careers. You’ll be able to choose from a range of electives and courses, selecting those that will help you on your own path toward your favored area or industry. During this year you’ll also take the most advanced courses on software development, business analytics and data privacy. Then you’ll deliver a final project (capstone) in which you’ll integrate everything you’ve learned throughout the program in order to solve a problem or challenge of your choice, with the help of a tutor.