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Education Bachelor's degree programmes Data Science and Society
Header image Data Science and Society

Data Science and Society

Is data the new oil? Could facial recognition systems make racial decisions? And do you think your early morning run with Strava affects infrastructure planning? Become a team player in Data Science & Society at Campus Fryslân to find out!

✔️ Study data, science and society combined into one programme, in a fast learning environment where digitalisation is the beating heart of everything we do.
✔️ Work with many different topics and methods to solve challenges that cannot be addressed by one discipline alone
✔️ Become a valuable team player, and gain relevant experiences and skills to apply in your future career

Data is neither good, nor bad, nor neutral. We can’t live without it, hence data circulation matters! During this future-oriented bachelor, you will dive deeper in the social aspects of Data Science, while gaining data science skills. At Campus Fryslân you will get the opportunity to foster your personal development in a hands-on, international learning community.

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Facts & Figures
Degree
BSc in Data Science and Society
Course type
Bachelor
Duration
36 months (180 ECTS)
Croho code
50982
Language of instruction
English
Start
Faculty
Campus Fryslân
Why study this programme in Leeuwarden?
  • A unique combination of data science and society
  • Small-scale and hands-on education
  • International community
  • Field projects with private and public partners
Programme

In the first half of the first year, you will become familiar with the main aspects of the topics in the curriculum: what is data science and society? You will learn the basics of the relevant programming skills and become familiar with the governance and regulations that come into play when talking about data and technology. Also, you will take a look at human rights in relation to data and you will learn about the creation and use of data.

In the second half of the first year you will increasingly develop statistical skills that you need in the rest of the programme and mainly in the first blocks of year 2, when you will start working with problem solving and modeling. Additionally, you will further build on topics such as governance and human rights.

Periods
Courses1234
Descriptive and Inferential Statistics (5 EC)
Introduction to Data Science & Society (5 EC)
Regulation, Governance and Innovation 1: an Introduction (5 EC)
Human Right in the Digital Age 1: Exploring Human Dignity (5 EC)
Managing and Visualizing Data (5 EC)
Science and Technology Studies 1: Data Creation and Circulation (5 EC)
Big Data: Data Source and Distributed Computing (5 EC)
Regulation, Governance and Innovation 2: Responsibility (5 EC)
Statistical and Machine Learning (5 EC)
Human Right in the Digital Age 2: From Ethical, Legal and Social Imperatives to Design Elements (5 EC)
Introduction to Data Science and Society (5 EC)
Science and Technology Studies 2: Data Use, Value and Responsibility (5 EC)

After the first half of the programme, you have sufficient core knowledge and skills to continue with one of the specializations: Cognitive Technology or Regulation, Governance and Innovation. During the third and fourth block of year 2, you will start following courses in your chosen specialization. During these blocks, you will also do a Field Project, during which you will work with partners from the private and public sector on their challenges in relation to data science and society.

In year 3, the first two blocks are dedicated to the minor space: here you can choose to deepen or broaden your programme by taking a minor abroad, following a specially designed premaster or composing your own personal minor.

In the third block of year 3 you will again follow courses in your chosen specialization. In the last block of the programme you will write your bachelor thesis which will be the concluding work of the programme.

Study load

40 hours of class and self-study per week on average

Curriculum

During the first part of the programme you are introduced to the main topics of the programme. You will learn about data science, society, science and technology studies, governance and philosophy. Also, you will become familiar with the technical skills that you will need in data science, such as programming and data visualization. After completing the core curriculum, you will choose in which specialization you will proceed: Cognitive Technology or Regulation, Governance and Innovation.

Programme options
Specialisation Cognitive Technology (specialization)

In the specialisation Cognitive Technology we will look at data and cognition, with specific attention to voice technology and computer vision. We investigate how cognition is (not) like data processing and we examine human data relating to the sensory modalities of audition and vision. Since audition and vision are adaptive, biological mechanisms which are shaped by memory, familiarity, knowledge, and culture, we are paying attention to the intersection of data in the social science and humanities. We also explore technological developments dedicated to e.g. voice technology and computer vision and investigate their social impact potential and the many implications they (might) have for privacy, security, and broader innovation.

Specialisation Regulation, Governance and Innovation (specialization)

The Regulation, Governance and Innovation specialisation is dedicated to the questions of how data is, could and should be used to create a positive impact on society. In this specialisation you will learn to analyse and shape data-based practices, products and services to ensure that technology respects and protects societal values such as human rights, democracy and the rule of law. You will explore data-driven technologies that are linked to wider efforts to promote and support societal aspirations such as human dignity in the digital age, responsibility, fairness, trust and sustainability (as for example expressed through the United Nations Sustainable Development Goals).

Study abroad

  • Study abroad is unaccommodated
Entry requirements

Admission requirements

Specific requirementsMore information
additional subject

Math: Passing grade for VWO Mathematics A or VWO Mathematics B (or international equivalent)

language test

English: Passing grade for VWO English TOEFL iBT: 90 (min. 18 on section scores) IELTS (Academic): 6.5 (min. 6.0 on section scores) Cambridge C1 CAE Cambridge C2 CPE Certificate with grade A, B or C

previous education

A Dutch VWO-diploma with any profile (or equivalent international high school diploma), or having obtained a HBO-propaedeutic certificate with a passing grade for VWO Mathematics A or VWO Mathematics B (or the international equivalent) and a passing grade for VWO English (or proof of sufficient proficiency by means of an English language test)

Choice of degree programme check

Campus Fryslân believes students can decide for themselves whether they match with their chosen programme based on the available bachelor programme information, by visiting the Open Days, by participating in a Webinar, and/or Student for a Day. If you are unable to attend one of these activities, a final opportunity for matching is to contact the DSS team.

Choice of degree programme check

Campus Fryslân believes students can decide for themselves whether they match with their chosen programme based on the available bachelor programme information, by visiting the Open Days, by participating in a Webinar, and/or Student for a Day. If you are unable to attend one of these activities, a final opportunity for matching is to contact the DSS team.

Admission requirements

Specific requirementsMore information
additional subject

Passing grade for VWO Mathematics A or VWO Mathematics B (or international equivalent)

language test

English: Passing grade for VWO English TOEFL iBT: 90 (min. 18 on section scores) IELTS (Academic): 6.5 (min. 6.0 on section scores) Cambridge C1 CAE Cambridge C2 CPE Certificate with grade A, B or C

Language requirements

ExamMinimum score
C1 Advanced (formerly CAE)C1
C2 Proficiency (formerly CPE)C2
IELTS overall band6.5
IELTS listening6
IELTS reading6
IELTS writing6
IELTS speaking6
Tuition fees
NationalityYearFeeProgramme form
EU/EEA2022-2023€ 2209full-time
non-EU/EEA2022-2023€ 10189full-time

Practical information for:

After your studies

After graduation, you can enter the job market to start working in the public or private sector as for example data analyst or data steward. Also, you can - dependent on your chosen specialization - choose to continue a master programme in the field of data science or societal studies. Due to the interdisciplinary character of the programme you will learn to communicate and work together with people from different backgrounds, which is a skill that is highly relevant for the current labour marke

Job prospects

You will be prepared to work with data and society related challenges in a very broad perspective. As the programme works with many real-life cases, you will be in contact with potential employers. Since digitalisation is (and will stay) a fast-emerging topic, the challenges that will have to be solved by graduates from the DSS programme are still there for years to come.

Job examples

  • Data Protection Officer
  • Data Analist
  • Data Scientist
  • Data Steward
  • Policy advisor
Research

Data Research Centre

The Data Research Centre (DRC) at Campus Fryslân combines expertise in data science with critical insight on interactions between society and technology.

It functions as a co-creation space between researchers, students, and external stakeholders for research in all disciplines that connect to the domains of data science and its societal implications. The DRC puts a particular emphasis on cross-disciplinary research. It aims to contribute concrete solutions based on reflective and critical analysis with a holistic approach and across disciplinary and cultural borders.

Apply nowBrochureEventsContact

Contact

  • Service Desk Cf (For questions related to DSS, selection procedure and general information, kindly contact)
    Email: cf-dss rug.nl
    Telephone: 058-2055000

Maya Nolles recommends this bachelor

Data Science and Society looks beyond just working with data from a logical and statistical perspective. You also learn about data from a social, philosophical and governance perspective. Understanding data from multiple perspectives means you are not bound to a single kind of job, so you can work anywhere in the world!

Read more

Study associations

Nobis Cura Futuri

Nobis Cura Futuri is the Study Association and the official embodiment of the international student community at Campus Fryslân.
Founded in 2020, we aim to provide plenty of fun, social and academic events (think of Pub crawls, talent shows, travels, guest-speaker evenings). All in the spirit of Nobis Cura Futuri: “The Care of the Future is Ours”, meaning we strive to provide activities that are aimed at making the most of your student life by adhering to our values of responsibility, diversity, sustainability and development.
https://www.rug.nl/cf/studeren-bij-cf/nobis-cura-futuri
Read more
Student profile

We are looking for students who are interested in data and the impact and/or relevance of data in society, feel comfortable with solving puzzles and doing math, are interested in societal challenges and can collaborate with students with other interests than their own.

If you are both hands-on to work with the practical side of data and are able to take a step back and reflect on the implications of your actions, then this is the programme for you.