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Masters
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Computer Science & IT
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Applied Data Science and Analytics
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MASTERS

Applied Data Science and Analytics

SRH University (Heidelberg)
HeidelbergGermany
On campus
Full-time
€9,196.00/year
 2000 Points
Duration
2 Years
Language
English
Apply date
Sep 2024

Program Description

As a data scientist, you are in a key position to handle and extract knowledge from large and unstructured datasets. In the Master’s programme in Applied Data Science and Analytics, you will gain in-depth knowledge and an understanding of the entire data science process. You will learn how to apply mathematical, statistical, analytical and machine learning/deep learning techniques to derive insights from large and often unstructured datasets.

The data visualisation and storytelling part of the programme will enable you to leverage data, revealing valuable insights for stakeholder decision-making. You will also learn with us in a practice-oriented manner, collaborating with real customers in project-related modules. Besides completing a compulsory three-month internship at a company of your choice, you may also write your Master’s thesis in cooperation with a company, giving you almost one year of professional experience during your studies.

Entry Requirements

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Curriculum

Semester 1

First steps into Case Studies

Data Analytics 1: Statistics and Machine Learning

Data Visualization and Storytelling 1: Design Basics

Big Data Programming 1: Python

Data Engineering 1: Big Data Databases

Data Management 1: Data Acquisition and Data Cleaning

Semester 2

Data Analytics 2: Text Mining and Natural Language Processing

Data Engineering 2: Big Data Architectures

Data Visualization and Storytelling 1: Designing Interactive Dashboards

Privacy, Ethics and International Law

Case Study 1

Semester 3

Data Management 2: Data Curation and Data Management

Data Visualization and Storytelling 2: Advanced Data Visualization

Data Analytics 3: Deep Learning

Elective Module: Case Study 2 or Internship

Semester 4

Master Thesis

Learning Outcomes

  • In-depth knowledge and understanding of applied data science.
  • Application of analytical techniques and machine learning/deep learning algorithms to solve complex data problems in business.
  • The skills you need to leverage data to reveal valuable insights and help customers make important decisions.
  • The ability to formulate solutions to technical problems and express them in discourse.
More

Careers

  • Data scientist
  • Data analyst
  • Data engineer
  • Data architect
  • Business intelligence developer
  • Machine learning engineer
  • Deep learning expert
  • Natural language processing engineer
  • Artificial intelligence expert
  • ETL developer
More

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