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      • Degree Programmes
      • Continuing Education
      • Research and Services
      • International
      • About FHNW
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      Locations and ContactFHNW LibraryMedia Relations
      Computer Science
      Data Science Student Projects – What’s the Story?

      Data Science Student Projects – What’s the Story?

      Student teams from the Data Science program tackle real-world challenges from companies in industry, trade, and the public sector during a semester.

      Both companies and students benefit from such joint projects. Companies receive flexible sup-port in analyzing data and developing algorithms and machine learning models, while students grow through the challenge of real project and teamwork. For all parties involved, university pro-jects can be the first step towards longer term collaborations.

      Benefits For Your Organization

      Analytical Studies and Proof of Concept

      Do you want to increase the efficiency and effectiveness of your company or test something new? Let our teams of students use machine learning to optimize your customer selection, im-prove products, and pilot them with you.

      Data-driven Decision Making

      Do you lack the time or expertise to analyze the data of your product portfolio or customer base? Our students combine information, identify key drivers, and extract quantitative decision-making analysis to support your strategic decisions.

      Fresh Perspectives on Internal Challenges

      Do you want to unlock the potential of your company's data? The student teams analyze and visualize relevant relationships in your data, check their quality, and evaluate new analytical model approaches for you.

      Experience Agile Project Management

      Do you want to experience an agile approach to teamwork in project management? Gain in-sights into the world of agile planning and risk management methods and fast feedback loops with continuous gains in knowledge.

      What Our Clients Provide

      Project description with goals and questions
      The project description is usually very brief and fits on one A4 page. Project goals and questions are specified by you.

      Availability and Quality of Data
      Data and information can be provided in the form of files or interfaces. Data security and confi-dentiality are important to us. If the project involves sensitive data, it will be anonymized, and all parties involved will sign a non-disclosure agreement (NDA).

      Time Commitment: per Semester, One-hour Meetings Every Three Weeks
      Customer feedback is important to us. As a project partner, you will be in regular contact with the student teams. Every three weeks or so, you will evaluate the project progress. During the se-mester, this will require around 10 hours of your time in total.

      Project Fee
      Projects involving students in their 1st/2nd semester are free of charge. From the 3rd/4th se-mester, a contribution of CHF 1500.- excl. VAT will be charged. For partners and sponsors of the FHNW, projects are free of charge.

      How We Implement Student Projects in Data Science

      • Agile Collaboration with Clients
        Working closely with clients is important to us. The insights gained flow continuously into the objectives, so that the questions can be adapted accordingly.
      • Teams of 2 to 8 Students
        Depending on the project, two to eight students work on a project assignment.
      • Collaboration with Institutes and Professors
        The institutes of the FHNW School of Computer Science work together in an interdisciplinary manner, providing technical support to the students in processing the projects, and accompany the project development.

      Contact

      Dr. Andrea Kennel
      Lecturer for Databases and Enterprise Information Systems
      +41 56 202 77 33
      andrea.kennel@fhnw.ch

      Barbara Dravec, (PMP)
      Subject Matter Expert for Project Management
      +41 76 570 31 35
      barbara.dravec@fhnw.ch

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      Collaboration in research and services

      Research Computer Science
      Andrea Kennel

      Dr. Andrea Kennel

      Lecturer for Database

      E-mail

      andrea.kennel@fhnw.ch

      Address

      FHNW University of Applied Sciences and Arts Northwestern Switzerland School of Computer Science Bahnhofstrasse 6 CH-5210 Windisch

      FHNW School of Computer Science, Brugg-Windisch

      FHNW University of Applied Sciences and Arts Northwestern Switzerland
      School of Computer Science

      Bahnhofstrasse 6

      CH - 5210 Windisch

      Phone+41 56 202 90 00

      E-Mailinfo.informatik@fhnw.ch

      More information about the location

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