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Bachelors
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Computer Science & IT
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Bachelor in Data Science and AI (BSc) - XU Exponential
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BACHELORS

Bachelor in Data Science and AI (BSc) - XU Exponential

XU Exponential University of Applied Sciences
PotsdamGermany
On campus
Full-time
€31,320.00€25,488.00total
 2548 Points
Duration
3 Years
Language
English

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Program Description

The Bachelor in Data Science (BSc) at XU Exponential University of Applied Sciences prepares students to become data engineers and create the infrastructure to manage data volumes in their company.

During the first few semesters of this program, students will gain a thorough understanding of data science project management: data collection, preparation and analysis. They will also learn how to professionally visualize and present results obtained from data information in practical projects. After the first few semesters, students will already have the central data science skills and be familiar with all key data science methods, apps, and tools.

Another focus of the first semester is communication and innovation management. Here, students will learn how to use modern communication and collaboration methods and techniques effectively and efficiently. They will deal with innovation methods and techniques, including design thinking and lean start-up methods, among others.

In the fourth semester of the Bachelor in Data Science (BSc), students can choose which of XU's partner universities they would like to spend a semester abroad at.

In the last two semesters, students can choose two of the following specializations: Programming and Optimization, Domain Specific Case Studies and Tools, Web Technologies, Security, and Computational Intelligence and Team Management.

Entry Requirements

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Curriculum

Year 1

Semester 1

Intro to Data Science

Data Structures and Programming

Data Acquisition and Visualization

Digital Transformation

Quantitative Methods 1

Digital Transformation

Academic Skills

Programming 1

English 1

Semester 2

Data Modeling and Databases

Algorithms and Programming

Data and Cyber Security

Quantitative Methods 2

Cooperation (Cooperation and Communication)

Communication Skills

Algorithms 1

English 2

Year 2

Semester 3

Machine Learning and AI

Data Analysis

Smart Data and Big Data

Quantitative Methods 3

Innovation

Project Management Skills

Software Development

English 3

Semester 4

Study Abroad Semester

Internship

Year 3

Semester 5

Data Mining

Data Warehouse

Mandatory Electives

Innovation Project

Bachelor Thesis Set-up

Algorithms 2

Semester 6

Mandatory Electives II

Bachelor Thesis

Programming 2

Jobs - Careers

Fields:

  • Data Science/Data Analytics
  • Data/Information Security
  • Research and Development
  • Innovation Management
  • Marketing Management
  • Business Development
  • Consulting
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