Research and knowledge transfer

The Master’s program in Data Science is characterized by a close integration of teaching and application-oriented research and development. Our goal is to demonstrate to the regional business community the opportunities offered by artificial intelligence, data analytics, and big data technologies, and, conversely, to help students understand the relevance of the course content through real-world use cases.

As part of the AI Transfer Hub Schleswig-Holstein, we offer small and medium-sized enterprises (SMEs) counselling on the potential of artificial intelligence as well as the opportunity to conduct feasibility studies. A state-of-the-art AI lab is available to handle computationally intensive tasks.

In addition, each semester we carry out Practical Projects and master’s theses in cooperation with companies, startups, and public institutions. If you are interested in a research collaboration, please feel free to contact us.

A selection of Practical Projects carried out by students as part of their studies in collaboration with companies from various sectors:

Agricultural Economics

• Development of an AI-based filtering method for combine harvester yield data

Banking

• Real estate price forecasts
• Assessment of urban neighborhoods via social media

Energy

• Optimization of energy consumption in refrigeration units
• Agent-Based Low-Voltage Load Modeling
• Anomaly Detection in District Heating
• Analysis of Return Water Temperature in District Heating
• Analysis of Weather Models for Renewable Energy Feed-in Forecasts
• Start-up Scenarios for Heat Pumps

Health

• Image recognition of similarities in EEG signals
• Efficacy analyses of therapeutic products
• Attention detection for intelligent X-ray governance
• Anomaly detection in force measurements on a slatted bed frame
• Development of control software for hyperpolarization in nuclear magnetic resonance spectroscopy

IT counselling

• AI-powered processing of incoming invoices

Food

• Bakery sales forecasts
• Data integration/optimization in the context of an app for sustainable food shopping
• Development of a classification algorithm for food
• Automated image recognition of product information

Logistics

• AI-powered prediction of ship calls and container handling
• Development of an algorithm for classifying hazardous materials labels

Media

• Music Taste Classifier
• Online Audio Ad Scanner
• Topic modeling based on press releases
• Development of a KPI Model for Recurring Business
• Analysis & Development of a Recommendation System for 1980s Music Using a Pull-Medium Database

Public Sector

• Data Analysis for Public Services

Human Resources

• Development of a recommendation system for matching roles and individuals
• Development of a skill recommendation system for employees
• Development of a recommendation system for digital continuing education
• Development of an AI-powered system for staffing recommendations

Travel

• Development of an algorithm for recommending thumbnails and keyframes in videos
• Travel Experience Data Augmentation Using Large Language Models

Telecommunications

• Anomaly Detection in Web Traffic Data at a Telecommunications Company
• Real-time anomaly detection in telecommunications networks

The master's program Data Science is characterized by a close integration of teaching and application-oriented research and development. Our aim is to demonstrate the opportunities of artificial intelligence, data analytics and big data technologies to the regional economy. And on the other hand, we want to show students the relevance of course contents through real-life applications.

As part of the AI Transfer Hub Schleswig-Holstein, we offer small and medium-sized enterprises advice on the potential of artificial intelligence and carry out feasibility studies. A modernly equipped AI laboratory is available for computationally intensive tasks.

In addition, practice projects and master's theses are carried out each semester with a variety of  partners in industry, startups and the public sector. Please reach out to us if you are interested in such type of cooperation,

Selection of Application Projects, carried out by Students during their studies in cooperation with companies of different sectors: 

Agriculture

• Development of an AI-based filtering method for combine harvester yield data 

Banking

• Real Estate Price Prediction
• Ratin of Urban Quarters Based on Social Media Data

Energy

• Optimization of the energy consumption of chillers
• Agent-based low-voltage load modelling
• Anomaly detection in district heating
• Analysis of return temperatures in district heating
• Analysis of weather models for feed-in forecasts of renewable energies
• Start-up scenarios for heat pumps

Food

• Development of a classification algorithm for food products
• Automated image recognition of product information
• Bakery Sales Forecast
• Data integration/optimization in the context of an app for sustainable food shopping

Health/Medicine

• Image recognition of similarities in EGM signals
• Attention detection for intelligent X-ray control
• Analysis of effectiveness of personalized therapeutical products
• Anomaly detection based on force measurements on the slatted frame
• Development of a control software for hyperpolarization in nuclear magnetic resonance 

Human Resources

• Development of a recommendation system for matching roles and persons
• Development of a skill recommendation system for employees
• Development of a recommendation system for digital training
• Development of an AI-supported personnel recommender

IT Consulting

• AI-supported capture of incoming invoices

Logistics

• Development of an algorithm for the classification of dangerous goods labels
• AI-assisted prediction of ship calls and container throughputs

Media & Music

• Analysis and development of a recommendation system for music of the 80s, using a pull-medium database.
• Music taste classifier
• Online audio ad scanner
• Development of a KPI model for recurring business

Public Sector

• Data analysis on services of general interest
• Topic modelling of press releases

Telekommunications

• Anomaly detection of web traffic data in telecommunications
• Real-time anomaly detection in telecommunication networks

Travel

• Development of an algorithm for the recommendation of thumbnails and keyframes in videos
• Augmentation of travel experience data using large language models