Bachelor in Data Science

1st semester

Courses
Type
ECTS
Syllabus
Fundamentals of Human Behavior
Type Mandatory
ECTS 6
Fundamentals of Social Sciences
Type Mandatory
ECTS 6
Technology for Innovation - IE Module
Type Mandatory
ECTS 3
Data Insights & Visualization - IE Module
Type Core
ECTS 3
Fundamentals of Business & Management - IE Module
Type Core
ECTS 6
Probability & Statistics for the Real World
Type Core
ECTS 6

2nd Semester

Courses
Type
ECTS
Syllabus
Learning to Observe, Experiment & Survey
Type Core
ECTS 6
Fundamentals of Data Analysis for Impact
Type Mandatory
ECTS 6
Simulating and Modeling to Understand Change
Type Core
ECTS 6
The Big History of ideas & Innovation - IE Module
Type Core
ECTS 6
High Impact Communication (Written & Verbal) - IE Module
Type Core
ECTS 6

1st semester

Courses
Type
ECTS
Syllabus
Inferential Statistics & Design of Experiments
Type Core
ECTS 6
Mathematics for Data Scientist
Type Core
ECTS 6
Operations Research
Type Core
ECTS 6
Programming for Data Scientist
Type Mandatory
ECTS 6
Data Structures and Storage
Type Mandatory
ECTS 6

2nd semester

Courses
Type
ECTS
Syllabus
Machine Learning I
Type Mandatory
ECTS 6
Forecasting and Time Series Analysis
Type Mandatory
ECTS 6
Data Sources & Introduction to Business Analytics
Type Mandatory
ECTS 6
Big Data Technology
Type Mandatory
ECTS 6
Seminar: Global Issues and Debate
Type Mandatory
ECTS 3
Professional Bootcamp: Teamwork - IE Module
Type Core
ECTS 3

1st semester

Courses
Type
ECTS
Syllabus
Analyzing Social Media
Type Mandatory
ECTS 3
Recommendation Engines
Type Mandatory
ECTS 6
Machine Learning II
Type Mandatory
ECTS 6
Cloud Computing
Type Mandatory
ECTS 6
Data Retrieval & Querying
Type Mandatory
ECTS 6
Project Management
Type Mandatory
ECTS 3

2nd semester

Courses
Type
ECTS
Syllabus
NLP, Text Mining, and Semantic Analysis
Type Mandatory
ECTS 6
Implementing Artificial Intelligence Technology
Type Mandatory
ECTS 6
Advanced Databases
Type Mandatory
ECTS 6
Operating Systems & Parallel Computing
Type Mandatory
ECTS 6
Project - Datathon
Type Mandatory
ECTS 3
Professional Bootcamp
Type Mandatory
ECTS 3

1st semester

Courses
Type
ECTS
Syllabus
Career Electives & Consulting Projects
Type Electives
ECTS 6
Career Electives & Consulting Projects
Type Electives
ECTS 3
Career Electives & Consulting Projects
Type Electives
ECTS 6
Career Electives & Consulting Projects
Type Electives
ECTS 3
Career Electives & Consulting Projects
Type Electives
ECTS 6
Career Electives & Consulting Projects
Type Electives
ECTS 3
Career Electives & Consulting Projects
Type Electives
ECTS 3

2nd semester

Courses
Type
ECTS
Syllabus
Advanced Topic - Software Development
Type Mandatory
ECTS 6
Advanced Topic – Advanced Business Analytics
Type Mandatory
ECTS 3
Advanced Topic - Cybersecurity
Type Mandatory
ECTS 3
Advanced Topic - Data Privacy and Ethics
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

* Career focused electives and consulting projects will allow you to apply knowledge and skills of your bachelor to a range of industries and job types. These electives will be taken in conjunction with students of other HST Bachelors to help you develop the ability to work in multi-discipline teams.
** This study is under validation process and may be subject to change.

For the most updated information contact the admissions department

Bachelor in Data Science in a Nutshell

FIRST YEAR - Common year (shared with the Bachelor in Behavioral Science)

During you’re the 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.

SECOND YEAR - Proficiency

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.

THIRD YEAR - Proficiency

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.

FOURTH YEAR - Career preparation & advanced topics

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.