Data Science: career prospects for graduates

What professional fields does the program cover?

Businesses and companies across the banking and insurance, retail, information and consulting and industrial sectors are currently clamoring for qualified experts in the diverse areas of data analysis.
The best career prospects are open to data scientists, who can look forward an unusually broad scope of activities in a wide variety of industries and positions. The following job profiles are therefore only examples:

Typical job profiles:

Analytics Consultant

  • Collects, understands and defines the demands that specialist departments make to fulfill their data-analytical needs
  • Supports internal stakeholders in the assessment of use cases for big data and projects
  • Possesses a fundamental understanding of all fields of activity within the analytics life cycle and acts as the interface between the analytics life cycle and (in particular non-expert) group companies or departments
  • Is responsible for and organizes administrative tasks within the analytics life cycle
  • Assumes the role of project manager during the various phases of the analytics life cycle
  • Is familiar with the typical problems and challenges of the roles involved

Data Scientist

  • Analyzes data, checks data quality and suitability
  • Develops and defines natural-language and technical problems as mathematically solvable problems
  • Develops statistical-mathematical models and self-learning algorithms
  • Visualizes results and makes them understandable for specialist departments
  • Develops a technical understanding of the analytics use-case environment

Data Engineer

  • Prepares data for (one-off) use in analytics projects and/or creates
  • (persistent) data governance structures
  • Understands, models and optimizes data flows and (batch-time and real-time) data integration
  • Applies methods and tools to improve data quality
  • Develops a comprehensive understanding of the operational data and system landscape, including technical approval processes

Analytics Architect

  • Designs technical platforms and systems as the basis for high-performance storage,
  • processing and analysis of large structured and unstructured sources of data, and implements them on the basis of customer requirements (also in conjunction with internal/external development teams where necessary)
  • Creates the technical prerequisites for interfacing existing systems as sources of data
  • Supports and advises stakeholders in the design and development of big-data and analytics applications and professionalization of use cases in the field of analytics
  • Analyzes, tests and communicates new technological developments within the context of the system landscape of the organization concerned; plans and communicates the analytics technology strategy
  • Assesses and implements technical security measures

Analytics developer

  • Designs and implements software (modules) to enable the use in standard software of models and algorithms that have been developed by data scientists
  • Operationalizes algorithm results by integrating them into automated processes and applying them to new data
  • Optimizes the performance of algorithms by professionalizing the technical implementation and use of design patterns
  • Designs and implements service infrastructures to provide analytics models for downstream processors and end users