Bachelor in Data and Business Analytics

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

* 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 Bachelor in Data and Business Analytics in a Nutshell

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

The first year gives an introduction to the foundations of the liberal sciences. Get a grounding in key research methods, applying them to solve technology-related problems, as well as meeting challenges in the social and behavioral sciences. In addition, familiarize yourself with the fundamentals of business, statistics, technology and programming, preparing you for your future as a successful data scientist.

SECOND YEAR - Proficiency

The second year opens you up to the latest technologies and tools available in the market to use the power of data. Get further insights into 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. With participation in workshops and boot camps, you will also develop teamwork and other soft skills to build a strong, well-rounded professional profile.

THIRD YEAR - Proficiency

Dive into the data analytics technologies needed to harness the power of data. In hands-on, practice-based classes 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 apply all you’ve learned so far 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 career-orientated specializations. Choose from a range of electives and courses, selecting those to take you toward your favored area or industry. You’ll also take the most advanced courses on software development, business analytics and data privacy, preparing you for the real world. Then you’ll deliver a final (capstone) project in which you’ll use all your acquired knowledge and skills to solve a problem of your choice, with the help of a tutor.