Skip to ContentSkip to Navigation

Minor Data Wise: Data Science in Society

Minor Data Wise: Science in society
Minor Data Wise: Science in society

Code: MIDW

Data plays an increasingly prominent role in society. Scientists, journalists, politicians, policy makers, and governmental institutions all make use of ‘big data’ and ‘data-driven approaches’ to understand our society and to shape our daily lives. From sports to healthcare, from business to biology—data and data infrastructures are overwhelmingly present in all these spheres.

The minor 'Data Wise: data science in society' focuses on knowledge about data and on skills to critically evaluate, shape and work with data. Specifically, it will improve the students’ employability since data science skills are increasingly listed as requirement or preferred skills in vacancies for university graduates. Furthermore, nearly all professionals need to have affinity with data and related processes in the course of their work.

This minor arises from a collaboration between Sociology, Centre for Information Technology and Campus Fryslân. The teaching team is made up of experts from across the University of Groningen and UMCG.

Due to the Data Wise minor, I was able to secure a position for my bachelor thesis in a Motor Imagery Brain-Computer Interface, my dream job! Courses such as Machine learning, Intro to Programming and Data as Evidence gave me tools and confidence to get involved with my project. The minor was beneficial for me as a person and for my career, as I now plan for a career in data science.
— Alexandros Christopoulos, psychology student

Interdisciplinary, project-based learning

Because interdisciplinarity, interaction and awareness of real-world contexts are key to the kinds of learning needed, the core of the minor is a group project on which students work for a period of four months. These real-world projects come from a diversity of stakeholders from research, business, government or civil society. By the end of the minor, students will have a highly desirable profile: team players who are able to collaborate with data scientists, making real contributions to responsible and innovative use of data.

Students who complete the minor will

  • understand how data practices influence our lives, positively and negatively, and shape society
  • acquire the conceptual and practical skills to collect, analyze, and report on this potentially enormous source of information and to do their work responsibly
  • critically evaluate and participate in “big data”/data-driven projects
  • be able to pursue their careers in settings where data and data infrastructures intersect with their domain expertise and activities
Requirements
  • There are no pre-requisites and we welcome students from almost all programmes and all faculties across the university
  • Note!: Students from the programme "Artificial Intelligence" (AI) are excluded from this minor because the AI courses and the minor courses overlap too much
  • The minor requires a lot of availability and flexibility, because of its project-based learning. This means that it is not possible to follow other courses outside the data wise minor and students need to be available to follow the minor full time to fully engage with their project team and with the external project partner
Capacity

A maximum of sixty students can take part in this minor.

Deadlines
  • Due to significant content overlap with our existing program, students from Computing Science (CS) and Artificial Intelligence (AI) are currently ineligible to enroll in the Data Wise minor.
  • Enrolment is possible from 24 May 2024 (12:00 CEST) up to 5 July 2024 (23:59 CEST).
  • Signing up for electives: From Monday 3 June 2024 until Friday
    5 July 2024 you will be able to enroll for the elective courses.
Sign up Questions

Contact: datawise rug.nl

Course programme
Mandatory courses
ECTS
Semester
Introduction to Data
(SOMINDW01)
7,5
1a

Collaborative Data Project
(SOMINDW02)

12,5

1a+1b

Dynamics of multi-disciplinary teamwork
(SOMINDW03)

2,5

1a+1b
Elective courses
ECTS
Semester

Data as evidence
(SOMINDW04)

2,5

1a

Introduction to Programming
(SOMINDW05)

2,5

1a

Opinion dynamics on the internet
(SOMINDW06)

2,5

1a

Fundamentals of Machine Learning: Theory and Practice
(SOMINDW07)

2,5

1a

Data in Practice. A journey through the whole data life cycle
(SOMINDW08)

2,5

1a

Data visualization
(SOMINDW09)

2,5

1a

Course programme

Last modified:08 August 2024 12.38 p.m.