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Gamification in the Master in Applied Data Science
Study / 29. März 2019
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Master in Applied Data Science Class of 2020
Nupur Kulkarni is a Master in Applied Data Science, class of 2020 student.

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The analytical thought process and decision making, cultivated in me over 3 years of professional experience in analytics has been instrumental in my success. However, to upgrade and explore in the multi-disciplinary sphere of data, pursuing a master in data science was my obvious choice. The Frankfurt School Master in Applied Data Science is a unique graduate program with its focus on developing not only technical, but also business skills. This program is a package, having courses like machine learning, deep learning, artificial intelligence, and business courses that give an edge to learn to identify business problems and to find solutions strategically.

Gamification in MADS

To make this journey more exciting and fun, gamification is used in the MADS program. „The Better than Average Human“ course is introduced here, for our extracurricular needs.

How does Gamification work here?

It is a common platform and medium to stay updated about its pillars – Tech, Business and Humanity. A number of quizzes and tasks are created under this course. We are not given the answers, but the tools to find the correct answers. Some activities come with a deadline and some can be taken up anytime during the semester. There is a points system which helps us measure our development so that we can identify the areas which we need to focus on. These points and the scorecard that we received in the end of every month helps track our progress. Additionally, we win a badge on scoring 10,000 points. How cool is that now?!

“Think of it like a game – we’re trying to help you level up.”

The Three Pillars:

Tech:

This pillar surrounds the technological skills and academic knowledge that we will gain in our time here. More than just hard skills, you will develop learning methods.

Few first semester activities:

  • PyData Südwest Meetup – Meetup dedicated to discussing Deep Learning and Data Storage, hosted by Koenigsweg and CyberForum.
  • Machine Learning, Entity Recognition, and Decision Making
  • Hack@Lab with Deloitte – an all-day Hackathon in the AI Lab at Frankfurt School.
  • Neural Networks vs. Random Forests – a quiz on blogpost by one of our Professors.
  • Blockchain Workshop

Business:

Next is Business, because Tech doesn’t exist as a stand-alone. It’s part of complex company ecosystems. This pillar makes us able to dive deeper in this sphere.

Few first semester activities:

  • Sign up for Job Teaser and Application Training
  • Panel Discussion Event – a quiz to unlock the next page with details regarding the event and how to sign up
  • FS skills in a Nutshell – a quiz to learn more about Factory Berlin.

Humanity:

The curriculum enhances Tech and Business, but Humanity is no less important. This is everything around our studies, everything that reminds us to be a human. It is about developing our soft skills so that we can successfully act as the interface between tech and people.

Few first semester activities:

  • Elect your class speakers
  • Learn about your student journey
  • Get to know the FS campus
  • Christmas Quiz

Benefits of using gamification

Playing different quizzes to sign up for a meetup, to attend a workshop, to learn about the Christmas culture in Germany, to explore the Frankfurt School (FS) campus, etc. was a very new experience for me. It resulted in a constant engagement in different activities. It instilled in us the ability to see things as their components and added value rather than the face value. Additionally, we had an excellent coordinator from staff who managed “The Better than Average Human” course, who herself was highly motivated and surely succeeded in keeping all of us motivated.

Advice to future students

I would like to suggest Master in Applied Data Science prospective students, that Frankfurt School welcomes you with diverse under graduation background, so do not hesitate if you do not come from a  Computer Science/ Mathematics/ IT background. No pre-courses are required, although a little overview of Python would help.

To conclude, the Frankfurt School Master in Applied Data Science is a remarkable commitment to foster intellectual excellence and embark upon an academic career. So, apply and get on the ride in the world of data!

“The value of higher education is to make men aware of what was and what is, to incite them to probe into what might be.”

Otto Keppler

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