Search form

DATA SCIENCE FOR SOCIETY AND BUSINESS

 


Master of Science - NEW Graduate Program

Data Science for Society and Business (MSc)

The 2-year MSc program „Data Science for Society and Business (DSSB)“ is a highly selective program for students of social sciences and business aiming to become data science experts. The program may also be interesting for students from natural sciences, or humanities aiming to expand into big data analytics, data-driven and computational social science, based on their strong quantitative background.

During two exciting years, graduates gain cutting edge competences, tools and methods to discuss, model, predict and solve the pressing challenges of digital societies, modern organizations and competitive businesses.

The truly multidisciplinary program combines a broad course offering from multiple social and data science disciplines with 4 elective tracks to allow for individual diversity and further specialization. With a focus on high employability, DSSB graduates are best prepared for quickly growing, global professional and academic career options resulting from digitization.

Read more

Data science is so exciting because it creates new communities and liberates us from disciplinary boundaries."
"Our DSSB program invites students to our international campus to approach the dynamic field of digital data and digitalization from social, business, engineering and natural science perspectives.
The leitmotif of the program is our commitment to cutting-edge research, problem orientation, and innovative projects.
DSSB is a door opener for promising careers in all industry sectors as well as in PR, journalism, political think tanks, government, international and non-governmental organizations.“

Prof. Dr. Hilke Brockmann

Key Facts

Program Start Date 2021:

last week of August (orientation week), first week of September (classes)

Tuition:

€ 20,000 per academic year

Scholarships:

All applicants are considered for merit-based scholarships of up to € 12,000 per year.
EU students are eligible for a minimum guaranteed scholarship of € 4,000.

Application Deadlines 2021:

June 1 (global) and July 15 (for applicants who do not need a visa)

Duration:

2 years full-time

 

Financing Options:

Each admitted candidate will receive an individual financial package.

5 Reasons

5 reasons why you should study Data Science for Society and Business (DSSB) at Jacobs University

  1. Unique interdisciplinary modular program with elective tracks for individual diversity and specialization that promotes personalized career goals
  2. A cutting-edge demanding academic program with access to innovative research, a close relation between teachers and students, shared learning experience and innovative learning environments
  3. Maximum focus on employability and preparation for the demands of global career paths in all areas of data-driven professional and academic fields
  4. A graduation rate of 90% reflects the university’s high academic standards and the intense support level with a student to teacher ratio of 1:16
  5. Benefit from Jacobs University’s direct access to the leading digital and tech companies, consulting firms, NGOs and top research institutes as well as a large global Alumni network

Program

The MSc Data Science for Society and Business study program teaches international students with strong backgrounds in social sciences (e.g. business, economics, demography, media studies, political science, psychology, sociology,) how to make use of rapidly growing digital data resources and new computational tools and methods to potentially solve the challenging interdisciplinary problems in their professional or academic field.

The program may also be interesting for students with a background in humanities, natural or technical science who want to focus on innovative social data analytics and pressing social and business questions emerging from digitization.

Students of the DSSB program thereby benefit from a broad course offering in various social, data and business sciences and the close cooperation with computer sciences, environmental and life sciences.

In addition, the program also promotes individual diversity and specialization. DSSB students can pick and choose course offerings from the 4 elective tracks based on their individual interests and career plans

  1. The Society Track adds computational social science approaches and pressing questions on cybercriminology or smart city and transport concepts
  2. The Business Track covers principles of consulting, sustainable economics, supply chain finance as well as disruptive production and logistics models
  3. The Health & Environmental Track connects socially relevant data science questions with insights and techniques from the natural sciences (health, medical, environmental sciences)
  4. The Data Science Track allows students with a strong mathematical or computing background to dive deep into data mining, data analytics and machine learning

At the end of the 2-year program DSSB graduates will have expertise in digital contents and data science skills to responsibly and capably solve core problems in future organizations and digital societies.  

  • They can identify, analyze, interpret and critically access the social causes and consequences of digital transformation of societies in all of its legal and ethical implications and aspects
  • They are able to apply cutting-edge analytical and quantitative skills to correctly model and interpret scientific results, to make valid predictions and to derive thoughtful conclusions and interventions for pressing social and business problems
  • Students have learned to manage big data, develop statistical models and convincingly present them to a science and non-science audience by applying plausible writing, communication and presentation techniques and visualization tools
  • They will be able to program well in at least one computer language and know about state-of-the-art computational and software tools

 

Study program structure

The Curriculum at a Glance
The MSc Data Science for Society and Business program is composed of foundational lectures, specialized modules, interactive seminars, tutorials and applied project work. These lead to a master thesis that can be conducted in close collaboration with research, institutional or industry partners on or even off-campus i.e. at a partner university, a political organization or at a company site. The program takes four semesters (two years). The following table provides an overview of the modular structure of the program. The program is partitioned into five areas (Core, Elective, Methods, Discovery, and Career) and the Master Thesis. All credit points (CP) are ECTS (European Credit Transfer System) credit points. In order to graduate, students need to obtain a total of 120 CPs.

Schematic Study Scheme

 

Core Area

Core modules describe and analyze the machine-social context, the changes and the challenges new information technologies impose on today’s and future firms, entire economies and societies. They also teach students data science approaches, new models and analytical techniques. Hence, we aim at three units consisting of two 5 CP modules for research on digitization and societies (10 CP), digital transformation in business (10 CP), and data science and artificial intelligence concepts (10 CP).

 

Methods Area

Methods courses are key in data science. Programming skills, innovative, dynamic models and experimental methods as well as most up-to-date software lay the groundwork for understanding, replicating and contributing to research.

 

Discovery Area

Discovery modules immerse students into diverse applications. Faculty from different disciplines introduce to up-to-date data science applications. Invited experts from business, public administration and other organizations reveal their digital data needs and solutions. These diverse experiences and insights lead to innovative experimentation in a data science lab and culminate in an individual capstone project in which students bring their theoretical and practical expertise together to creatively answer pressing social and data science problems, i.e. in health education, social media marketing, robotics, data security or digital government. Students who prefer to complete an internship with a company, or public organization can exchange the capstone project, and two of the mandatory elective career modules for this off-campus learning experience.

 

Career Area

Modules in the career area aim at broadening the intellectual skills of students and boost their employability. Language modules and seminars on ethical and legal questions help to understand people with other cultural backgrounds and to understand normative concerns about the digitalization of our societies. Targeted modules on communication and career skills directly support students to exchange and function well in professional environments. Students who prefer to complete an internship with a company, or public organization can exchange the capstone project, and two of the mandatory elective career modules for this off-campus learning experience.

 

Elective Area

Electives allow students to expand and connect their expertise with other subjects. Courses in business, computer science, criminology, spatial sciences, public health and supply chain management also allow specialization.
The Data Science for Society and Business graduate program attracts students with diverse career goals, backgrounds and prior work experience.
Students can choose to strengthen their knowledge by focusing in one of 4 different areas:

  • Society
  • Business
  • Data Science
  • Environmental & Health

These are recommended focus tracks. Students may however choose combination of the non-mandatory courses.

 

Data Science for Society and Business (MSc) Program Handbook Fall 2021 can be downloaded here in a little while.

CONTACT US

Frederik Pohlmann
 

Phone: 0421 200 4211
Email: graduateadmission [at] jacobs-university.de

 


 Do you have any questions or need consultation?
Call us or write us – we are happy to help you with your inquiry.

 

FAQ

 
1 Start 2 Complete

Target Group

The MSc Data Science for Society and Business (DSSB) graduate program is a highly selective program for students who have completed their BA / BSc in the social sciences (e.g. business, economics, political science, psychology, sociology,) who want to become a data scientist with an interest in business and social science research questions.

We are also open to accept students from the humanities and natural science (e.g. history, health or other neuro sciences with a quantitative orientation).

Teaching Approach

DSSB is a truly interdisciplinary program that combines a broad course offering from diverse social and non-social science disciplines with elective tracks for individual diversity and specialization.
By combining on- and off-line learning tools in core and method courses, students with diverse cultural and knowledge backgrounds and individual needs are quickly integrated. Remedial online learning allows to close mathematical or technical knowledge gaps.
Students thereby benefit from a close relation between teachers and students, small classes, shared learning experience and innovative learning environments.
To further gain professional and research practice, students have access to the data science lab, may engage in capstone projects, choose an elective internship or participate in public big data challenges.

Ranking

Top ranked in Germany and worldwide

Among top 300 best universities worldwide

University with the most international outlook in Germany

#33 young university worldwide

#1 private university in Germany

#4 young university in Germany

#9 young university in Teaching worldwide

Students & Alumni

Beyond the outstanding education and the major-related knowledge and skills, I was able to expand my horizon by getting to know many different people with diverse backgrounds and the most exciting stories.

Rico Dittrich

When I came to Jacobs, I wanted to be a diplomat. Now, I am a CEO, and I think that is because Jacobs teaches you a lot of different skills, a lot of interdisciplinary skills.

Benjamin Thies

My favorite thing about the Jacobs study program was the multi-disciplinary approach. It made me challenge myself and learn about something very different to what I was normally supposed to learn with my curriculum. It broadened my horizons and made think differently.

Laura Garcia

Ready for your future?