European School of Data Science and Technology - ESDST
Bachelor of Data Science
DURATION
3 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
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EARLIEST START DATE
Request earliest startdate
TUITION FEES
EUR 8,500 / per year
STUDY FORMAT
On-Campus
Introduction
Bachelor of Data Science
In an era defined by data-driven decision-making, our Bachelor of Data Science program is your gateway to a dynamic and exciting career at the intersection of technology, mathematics, and business. As the world becomes increasingly reliant on data to inform and shape our future, professionals who can harness the power of data are in high demand.
Our program is designed to equip you with the knowledge and skills needed to excel in this rapidly evolving field. Whether you’re a tech enthusiast eager to delve into data analytics, a mathematician looking to apply your skills to real-world problems, or a business-minded individual seeking to make data-driven strategic decisions, our comprehensive curriculum will prepare you for success.
Whether you aspire to become a data scientist, data analyst, machine learning engineer, or data-driven business strategist, our Bachelor of Data Science program is your first step toward a rewarding and intellectually stimulating career. Join us on this exciting journey as we unlock the potential of data together and shape the future.
If you’re ready to embark on this transformative educational experience, explore our website to learn more about admission requirements, course offerings, and the countless opportunities that await you. We look forward to helping you achieve your goals in the world of data science!
Get ready to dive into the world of data, uncover insights, and drive innovation. Your data science journey starts here!
After the end of this program, students will be able to:
- develop the capability to read and understand huge amounts of data.
- gain an understanding of various methodologies to clean/analyze the data from various sources.
- build the capability to question the validity and usage of the data received, and its relevance to solve the problem at hand.
- develop the ability to adopt various tools/technology/platforms used in the big data scenario.
- build the positive perspectives and skills that create productive managerial leaders and business networks to create world-class teams.
Admissions
Curriculum
Courses
- Mathematics for Data Scientists (6 ECTS)
- Introduction to Statistics and Probability (6 ECTS)
- Foundation Skills 1: Personal & Career Foundations (6 ECTS)
- Introduction to Computer Programming (6 ECTS)
- Introduction to Databases (6 ECTS)
- Linear Algebra (6 ECTS)
- Calculus (6 ECTS)
- Foundation Skills 2: Ethics and Moral Reasoning (6 ECTS)
- Introduction to Data Science (6 ECTS)
- Statistical Data Analysis (6 ECTS)
- Advanced Calculus (6 ECTS)
- Algorithms and Data Structures (6 ECTS)
- Employability and Practitioner Skills Series 1: Emotional Intelligence (6 ECTS)
- Data Integration and Warehousing (6 ECTS)
- Visual Analytics (Explorative data analysis) (6 ECTS)
- Advanced Linear Algebra and Applications (6 ECTS)
- Programming for Analytics (6 ECTS)
- Employability and Practitioner Skills Series 2: Leadership, Teamwork, Global Dexterity (6 ECTS)
- Consumer Behaviour and Marketing Research (6 ECTS)
- Machine Learning (6 ECTS)
- Spanish Language (12 ECTS)
- Employability and Practitioner Skills Series 3: Communicating Effectively (6 ECTS)
- Object Relational and NoSQL Databases (6 ECTS)
- Data Science Capstone Project I (6 ECTS)
- Social Web Analytics (Web, Internet of Things, and Social Media Mining) (6 ECTS)
- Advanced Analytics (Stream, Sensor and Spatio-temporal Analysis) (6 ECTS)
- Internship 18
Total ECTS Credits: 180
Career Opportunities
After successful completion of the program, career roles would be guided by the level of expertise of the students and prior experience. For working professionals, avenues range from career shift/transformation from the current role to a data science role. For fresh graduates, the knowledge and skills developed during the BBA program would enable them to apply for suitable positions centered around their skills and interests. Students can target any of the following roles:
- Big Data Analyst
- Business Intelligence Manager
- Data Scientist
- Predictive Analytics Specialist
- Business Analytics Consultant
- Quantitative Analyst
- Market Research Analyst
- Data Analytics Manager
- Financial Data Analyst