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Masters
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Computer Science & IT
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Master in Data Science for Society and Business (MSc) - CU
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MASTERS

Master in Data Science for Society and Business (MSc) - CU

Constructor University
BremenGermany
On campus
Full-time
€20,000.00/year
 1600 Points
Duration
2 Years
Language
English
Apply date
Sep 2024

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Program Description

The master in Data Science for Society and Business (MSc) is a highly selective program for students of business and social sciences aiming to become data science experts. The master in Data Science for Society and Business (MSc) is also of high interest to students with backgrounds in health and environmental sciences aiming to expand into big data analytics, data-driven, and computational social science, based on their strong quantitative background.

During two exciting years, graduates gain cutting-edge competencies, tools, and methods to discuss, model, predict and solve the pressing challenges of digital societies, modern organizations, and competitive businesses.

The truly multidisciplinary master in Data Science for Society and Business (MSc) combines a broad course offering from multiple social and data science disciplines with 3 elective tracks to allow for individual diversity and further specialization. With a focus on high employability, graduates are best prepared for quickly growing, global professional and academic career options resulting from digitization.

Entry Requirements

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Curriculum

Year 1

Semester 1

The Big Data Challenge

Data Analytics

Intro to Data Management with Python

Current Topics in Data Engineering

Language

Communication & Presentation Skills

Elective Courses:
Society and Business Track:
Cyber criminology
Introduction to Computational Social science
Smart Cities and Transport Concepts
Sustainability Economics
Principles of Consulting

Advanced Data Science Track:
Data Analytics
Data Mining
Machine Learning
Introduction to Data Management with Python

Environment and Health Track:
Geoinformatics
Geo Informatics Lab
Modeling and Analysis of Complex Systems
Network Approaches in Biology and Medicine

Semester 2

Data Security & P.

T-law

Machine Learning

Methods

Data Engineering Advanced Project I

Acad Writing Skills/Intercult Training

Year 2

Semester 3

Data Acquisition Technologies and Sensor Networks

Data Visualization and Image Processing

Methods

Data Engineering Advanced Project II

Language

Ethics and the Information Revolution

Semester 4

Master Thesis

Jobs - Careers

  • Data Scientists
  • AI Research Scientists
  • Business Intelligent Analyst
  • Computational Social Scientist
  • Consultant
  • Data Analyst
  • Data Management Expert
  • Data Protection Specialist
  • Financial Analyst
  • Market Researcher
  • Marketing Manager
  • Medical Data Analyst
More

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