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- About DSS
- Why choose CEU's BA/BSc in Data Science and Society?
- What will you learn?
- What next?
- How to apply?
- How does it work?
- How much does it cost?
- Academic Information
In CEU’s bachelor's degree program in Data Science and Society (DSS)*, students learn to address some of the key questions for humanity today using a unique combination of mathematics, computer science, data analysis, and social sciences. You will study with peers from around the world, learn to present your ideas and knowledge effectively, and prepare for exciting careers, all in beautiful Vienna.
Why choose the CEUData Science and Societybachelor's degree?
Because you will:
- earn an American and Austrian bachelor's degree in four years
- enjoy the American college-style undergraduate experience, in Europe
- live in Vienna, consistently ranked amongthe world’s most livable cities
- study in another country via study abroad in year 3
- benefit from a private university education at a reasonable cost
- learn from world-class faculty in one of Europe’s top research universities
- access a wide variety of career paths
Major or double-major in:
ECONOMICS POLITICAL SCIENCE DATA SCIENCE
SOCIOLOGY ENVIRONMENTAL SCIENCES
Watch this sample lecture: Wisdom of the Crowds - the applications of Data Science in real life
What job could you do with a BA/BSc in Data Science and Society?
- At a STARTUP,you could collect and analyze market research data to draw conclusions and develop a new targeted marketing campaign for your product.
- At a SOCIAL MEDIA CONSULTING COMPANY,you could develop algorithms to detect organized misinformation campaigns, and attempts to manipulate public opinion.
- In a PUBLIC HEALTH GOVERNMENTAL AGENCY,you could analyze in real-time the results of measures taken to contain a pandemic, devise appropriate strategies, and model the outcomes.
- At a CITY COUNCIL, you could monitor and explore citizen response to measures implemented by the council, such as mapping the mobility of people following a traffic or public transport initiative and make recommendations for new initiatives.
- At a POLLING AGENCY, you could design, conduct and interpret polls, contributing to the development of new ways to test public opinion.
- At an INTERNATIONAL ORGANIZATION, GOVERNMENT BODY, or THINK TANK, you could analyze the statistics of armed conflicts and model the spread of political unrest to inform decision-making.
- At a CLIMATE CHANGE NGO, you could help analyze statistical trends and interpret them for the public, or track the formation of public opinion in order to plan and organize effective campaigns or activities.
- As a SCIENTIST at a university or research institution, you can make use of your unique interdisciplinary makeup to pose and answer scientific questions about the behavior of societies and economies that take into account their emerging complexity, and form bridges between scientific disciplines.
What will you learn in CEU’s bachelor's degree program in DSS?
You will be able to:
- take advantage of the vast amounts of data on human and societal behavior
- examine, explain and help answer global socioeconomical questions
- analyze data using rigorous quantitative theory, computational methods, and mathematical modeling
- draw conclusions derived from qualitative theory and methods from the social sciences
- present your analysis and ideas based on a combination of quantitative and qualitative arguments
Our unique program lies at the intersection between the major scientific disciplines of mathematics, computer science, statistics and the social sciences. We challenge students to combine these disciplines in order to gain insight into how the world works, in a manner that is not possible by focusing on each discipline in isolation. You’ll delve into some of the big questions using not only the quantitative tools of data science, but also the qualitative perspectives of sociology, economics, political science, and environmental science. You’ll need to think critically and come up with your own answers to understand how humans interact with each other and with their environment. We’ve tailored the program so that you will gain a solid foundation in mathematics, data analysis, and statistics as well as four pillars of the social sciences. Then you’ll use what you’ve learned to address issues that interest you most, and you’ll emerge with analytical skills and multifaceted knowledge that you can put to use in the real world. So if you want to:
- challenge yourself in the classroom and beyond
- become an active member of an emerging interdisciplinary scientific community
- tackle the world’s biggest problems using cutting-edge analytical methods
- make a difference using your unique quantitative and qualitative knowledge and skills
- open a world of career options
…then CEU’s undergraduate degree inData Science and Society (DSS) is for you. In your first year, you’ll take a mandatory set of courses with your classmates for comprehensive training in mathematics, computational data analysis, statistics, and data science. You’ll pair that with the fundamentals of sociology, economics, environmental science, and political science. Later you’ll choose two specializations and focus on an issue you’re passionate about for your thesis research and another for your capstone project. After your first year, you’ll focus on your choice of two of the following:
- Sociology
- Economics
- Environmental Sciences
- Political Science
- Data Science
You’ll also be able to choose from mandatory and free electives and participate in a seminar series, where you’ll learn about current research and concrete applications of data science in academia and industry from researchers from different fields. This will enable you to bridge the gap between classroom material and real-world applications. It will also inspire you to address concrete issues in your research and thesis projects during the program.
How does that sound? Want to learn more?
and stay in the know about everything admissions-related at CEU. We hope to #SeeUatCEU!
Pattern of migrations between countries. Mapping the worldwide flow of people between nations, understanding its reasons and consequences, is an example of data science research. (From: Peixoto, T. Phys. Rev. E 97, 012306 (2017)
Predicted income distribution in Paris.Data science models and methods can be used to predict socioeconomic features from indirect information. (From: Abitbol, J.L., Karsai, M., Nat Mach Intell 2, 684–692 (2020). https://doi.org/10.1038/s42256-020-00243-5)
Curriculum structure
The DSS program is divided into seven modules, covering fundamental topics in Mathematics, Programming and Data Analysis, Data Science, Social Sciences, as well as five specialization tracks in Sociology, Economics, Environmental Sciences, Political Science, and Data Science.
- Module I: Mathematics (13 US credits/26 ECTS)
- Calculus
- Linear Algebra
- Statistics
- Optimization
- Module II: Programming and Data Analysis (11 US credits/22 ECTS)
- Introduction to Programming
- Algorithms and Data Structures
- Fundamentals of Data Analysis
- Data Visualization
- Module III: Data Science (16 US credits/32 ECTS)
- Introduction to Machine Learning and Data Mining
- Introduction to Complex Systems
- Data Management
- Data Science Project
- Module IV: Social Sciences (16 US credits/32 ECTS)
- Communities, Societies, States: Keys Issues in Sociology
- Introduction to Political Economy: Interests, Institutions, and Ideas
- Introduction to Environmental Sciences
- Principles of Microeconomics
- Ethics of Big Data
- Quantitative Approaches to Social Sciences
- Module V: Specialization tracks (16 US credits/32 ECTS)
- Students must choose two from the following five specializations:
SOCIOLOGY | ECONOMICS | ENVIRONMENTAL | POLITICAL | DATA SCIENCE |
Required courses in each track | ||||
Key Issues in Sociological Theory Social Networks Gender Inequality Through Numbers | Econometrics Game Theory | Measuring Progress Climate change Spatial Data Visualization | Introduction to Comparative Politics: History, Topics, And Methods Rational Choice Politics | Text data analysis Advanced Machine Learning |
Mandatory electives | ||||
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- Modules VI and VII: Bachelor thesis and Capstone project
How does CEU's bachelor's degree program in DSS work?
In theData Science and Society (DSS) bachelor's degree program, you’ll address questions of how humans behave and how society works, using mathematical methods to analyze data, while at the same time drawing on the fields of sociology, economics, political science, and environmental science to interpret the results. Once you’ve analyzed an issue or an event from all these angles, you’ll also learn to communicate your newfound knowledge effectively and have the opportunity to expand and use your knowledge outside the classroom. You’ll enjoy:
- small class sizes, with a student-to-faculty ratio of 7:1
- discussion-based seminars where you’ll participate and contribute your analysis
- individual attention from leading professors and researcher-practitioners
- a community of faculty and students from more than 100 countries
- courses with all your classmates in year 1, then increased focus and course choice as you progress within the program
- preparing an individual thesis in year 3 and a capstone project in year 4
- personal supervision by a professor for your capstone project in your final year
At the end of four years, you’ll have an Austrian and an American bachelor's degree.
What next? What careers can you consider?
The CEU bachelor's degree inData Science and Society (DSS) gives you a multidisciplinary foundation that supports many exciting career paths. Your competence in analyzing, interpreting, and communicating quantitative information will be in high demand on the job market. What’s more, your DSS experience will surely be transformative personally, as you and your classmates become members of transnational cultural, political, and social communities. You’ll be ready to continue your studies in graduate school or start a career in business, government or non-profits, startups, or multinationals. Here are some examples:
Pursue a master’s or Ph.D. degree at CEU or other leading universities in subjects such as:
- Economics
- Political Science
- Environmental Science
- Sociology
- Network Science
- Computational Social Science
Pursue a career at:
- banks and fintech companies
- government and policymaking bodies
- universities and think tanks
- startups and incubators
- large companies and multinationals
- international organizations
- non-profit and non-governmental organizations
- the law, education, and health care sectors
How do you apply to the CEU bachelor's degree program?
To apply to CEU’s degree programs, you’ll need to gather documents such as transcripts, your CV, and proof of English proficiency, obtain a recommendation letter, write a motivation letter and an essay and fill out the application form online, where you’ll also upload everything and pay the application fee. For theData Science and Society (DSS) bachelor's degree program, your high school transcripts should show evidence of competence in mathematics. We encourage but do not require you to submit the results of a standardized math test such as SAT, ACT, AP Calculus, A levels, or IB Math. If you’re not able to show sufficient proof, you may be required to take a CEU-administered online math test. You’ll be notified about this after your application has been reviewed. Hereyou can find a list of what you’ll need for your application. To apply to theData Science and Society (DSS) bachelor's degree program, you’ll need to write an essay about your interest in data science and social science. What do you think are some of the major challenges in understanding human society? Why do you think quantitative approaches are necessary for this task? What are some of the questions that can and cannot be answered from this perspective? These are just examples. We encourage you to pick your own question, show evidence of your interest and engagement with it, and convey your ideas and thinking. If you have not studied these subjects at school, don’t worry — ideas from your existing studies, and from following the news and media may stimulate interest in issues and questions which can then be addressed through your studies in data science and society. You can find more information here. Once you’ve submitted your application, CEU faculty and admissions staff review it alongside all the others. Finalists are invited for interviews with a panel of professors, then decisions are made and successful applicants are notified.
Ready to apply?We hope to #SeeUatCEU!
How much does a CEU bachelor's degree program cost?
Tuitionfor each of CEU’s bachelor’s degree programs is 7,000 EUR per year. This does not include the application fee, student enrollment fee,accommodation, or living expenses, but CEU will cover the cost of health insurance for you!Click herefor more information.
There are scholarship opportunitiesavailable with CEU and fromother organizations.
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and stay in the know about everything admissions-related at CEU.We hope to #SeeUatCEU!
*This program was formerly called Quantitative Social Sciences. The name change has been approved by the US accreditation authorities and is awaiting approval from AQ Austria.
FAQs
Is data science a good major for undergraduate? ›
The U.S. Bureau of Labor Statistics sees a bull market for data scientists extending deep into the decade. According to the most recent data, job opportunities in data science will grow by 15 percent through 2029. That rate is more than three times higher than the average for all occupations.
Is data science a BA or BS? ›The Bachelor of Arts in Data Science program offers a curriculum that focuses on developing analytical and technical skills necessary for analyzing massive amounts of data and extracting information from complex data sources.
What is Bachelor of science in data science? ›A data science bachelor degree introduces students to the emerging and high-growth fields of digital information and big data. Many of these schools are incorporating data-related degrees as a part of an interdisciplinary program, which involves the collaboration of a variety of different departments.
What is quantitative social science major? ›The Quantitative Social Science domain emphasis provides students with expertise in various methodologies used in quantitative social science research and analysis. Topics include mathematical modeling, description of patterns and trends, statistical modeling, and testing of social scientific hypotheses.
Is data science a hard degree? ›Data science is a difficult field. There are many reasons for this, but the most important one is that it requires a broad set of skills and knowledge. The core elements of data science are math, statistics, and computer science. The math side includes linear algebra, probability theory, and statistics theory.
Is data science harder than computer science? ›As such, data scientists may need a passable proficiency in those tools, but not the same level of dedicated expertise that you might see with a professional programmer. The difference between data science and computer science can be harder to spot on an undergraduate level.
Is data science a good career? ›Yes, data science is a very good career with tremendous opportunities for advancement in the future. Already, demand is high, salaries are competitive, and the perks are numerous – which is why Data Scientist has been called “the most promising career” by LinkedIn and the “best job in America” by Glassdoor.
Which is best bachelor degree? ›- Information Technology.
- Engineering Management.
- Petroleum Engineering.
- Finance/Financial Management.
- Physics.
- Pharmacy.
- Computer Engineering.
- Aerospace Engineering.
Computer science: The emphasis on statistical and analytical skills in many computer science programs makes them a good fit for aspiring data analysts. This degree is also widely available.
Can I get a job after B.Sc data science? ›There are a plethora job opportunities after B.Sc. Data Science. Because of its growing demand and diversified future potential in tech companies, consultancies, market research firms, and the energy industry, this course is extremely popular among students in India and abroad.
Is a data science degree worth it? ›
Is A Data Science Degree Worth It? A data science degree will put you on the path to landing a six-figure job, so for many people, a degree is well worth the time and tuition cost. However, there are more affordable options out there.
What is the salary of B.Sc data science? ›Though, The average data scientists salary is ₹698,412. An entry-level data scientist can earn around ₹500,000 per annum with less than one year of experience. Early level data scientists with 1 to 4 years experience get around ₹610,811 per annum.
What are quantitative sciences? ›Quantitative Science is the application of mathematics and statistics to answer questions in biological and environmental sciences.
Why is qualitative research important in sociology? ›Qualitative research has a long history in sociology and has been used within it for as long as the field has existed. This type of research has long appealed to social scientists because it allows the researchers to investigate the meanings people attribute to their behavior, actions, and interactions with others.
What is a quantitative discipline? ›- "Quantitative discipline" means that subsidies exceeding 5 percent of a product's price create the rebuttable presumption that the subsidies cause serious prejudice to the industries concerned.
Is there a lot of math in data science? ›When you Google for the math requirements for data science, the three topics that consistently come up are calculus, linear algebra, and statistics. The good news is that — for most data science positions — the only kind of math you need to become intimately familiar with is statistics.
Can I do data science without maths? ›Data science careers require mathematical study because machine learning algorithms, and performing analyses and discovering insights from data require math. While math will not be the only requirement for your educational and career path in data science, but it's often one of the most important.
Is it hard to get a job in data science? ›Data science jobs are abundant, and the numbers are growing. Despite the influx in demand, some data professionals are still struggling to find a job. If you've filled out numerous job applications you feel you're easily qualified for, only to be rejected, you're certainly not alone.
Does data science require coding? ›You need to have knowledge of various programming languages, such as Python, Perl, C/C++, SQL, and Java, with Python being the most common coding language required in data science roles. These programming languages help data scientists organize unstructured data sets.
What pays more computer science or data science? ›The national average salary paid to data scientists is $116,654 per year. A computer scientist is likely to receive an average remuneration of $103,730 per year. A data scientist needs to have the technical skills to collect and analyze data, as well as exceptional communication and management skills.
Which one is better computer science or data science? ›
Computer science focuses on a broader scope of computing and digital innovation than data science. It's an excellent choice for Engineering, Math and Physics career changers.
Do data scientists get paid well? ›The median mid-level data scientist salary is $130,000, according to a 2020 Burtch Works study [3]. The median entry-level salary is $85,000, and senior-level data scientists earn a median of $170,000 [4].
Is data science a stressful job? ›Several data professionals have defined data analytics as a stressful career. So, if you are someone planning on taking up data analytics and science as a career, it is high time that you rethink and make an informed decision.
Is data science a high paying job? ›The average salary for a data scientist is Rs. 698,412 per year. With less than a year of experience, an entry-level data scientist can make approximately 500,000 per year. Data scientists with 1 to 4 years of experience may expect to earn about 610,811 per year.
Which is the easiest Bachelor degree? ›- #1: Psychology. Psychology majors study the inner workings of the human psyche. ...
- #2: Criminal Justice. ...
- #3: English. ...
- #4: Education. ...
- #5: Social Work. ...
- #6: Sociology. ...
- #7: Communications. ...
- #8: History.
- Computer Engineering: $74,000.
- Computer Science: $70,000.
- Aerospace Engineering: $70,000.
- Chemical Engineering: $70,000.
- Electrical Engineering: $70,000.
- Industrial Engineering: $69,000.
- Mechanical Engineering: $68,000.
- Miscellaneous Engineering: $65,000.
- Pharmacology. For a lucrative career helping people, pharmacology is at the top of the list for in-demand degrees. ...
- Computer Science. ...
- Health Science. ...
- Information Technology. ...
- Engineering. ...
- Business Administration. ...
- Finance. ...
- Human Resources.
You can become a data scientist with a BA degree too. You can get a Data Science course and embark on a new journey. Data Science is the field of using systems, algorithms, and scientific methods to extract insights from unstructured and structured data.
Does data science have a future? ›The potential for quantum computing and data science is huge in the future. Machine Learning can also process the information much faster with its accelerated learning and advanced capabilities. Based on this, the time required for solving complex problems is significantly reduced.
What qualifications do I need to be a data scientist? ›...
For some jobs, employers will ask for a relevant Masters or PhD, in a subject such as:
- big data.
- business analytics.
- data analytics.
- data science.
What is the monthly income of Data Scientist? ›
Average salary for a Data Scientist in India is 10.5 Lakhs per year (₹87.5k per month). Salary estimates are based on 18487 salaries received from various Data Scientists across industries.
Which B.Sc course has highest salary? ›- B.Sc Physics.
- B.Sc Mathematics.
- B.Sc Computer Science.
- B.Sc Biochemistry.
- B.Sc Biotechnology.
- B.Sc Botany.
- B.Sc in Zoology.
- B.Sc in Statistics.
The data science major is a newer undergraduate degree option in computer science. You can gain a versatile education by earning your bachelor's degree in data science, which can lead to a career in data analytics, data engineering, database administration, and more.
Can I work from home as a data scientist? ›Top companies are giving opportunities for remote working to data scientists. Even though working from home has become the new standard in the wake of the COVID-19 shutdowns, many firms that hire data scientists have long-standing remote work policies and attractive perks for their employees.
How much can you make with data science degree? ›An average annual average salary of $120,931with the job title of data scientist (source: Glassdoor), and an average salary of over $84,000 per year across 14 specific data analysis and data science careers linked to PennWest California's statistics and data science degree program (source: Pennsylvania's State System ...
How is data science as a career? ›You can earn around 4.80 lakhs per year with this skill. With knowledge of Microsoft Excel, your salary will be around 3.89 lakhs per year. The most popular skill out of all these is data analysis, followed by Microsoft Excel and SQL. Statistical analysis is the least popular.
Which job has highest salary? ›- Data Engineer.
- Software Architect.
- Cloud Architect.
- Blockchain Engineer.
- DevOps Engineer.
- IoT Architect.
- Artificial Intelligence (AI) Engineer.
- Product Manager.
- Bengaluru, India. ...
- Average Salary: Rs. ...
- Geneva, Switzerland. ...
- Average Salary: 180,000 Swiss Fr (Franc) to 200,000 Swiss Fr (Franc) per annum.
- Berlin, Germany. ...
- Average Salary: €11,000 to €114,155 per annum.
- London, United Kingdom. ...
- Average Salary: £62,771 per annum.
On average, to a person with no prior coding experience and/or mathematical background, it takes from 7 to 12 months of intensive studies to become an entry-level data scientist.
What are the 4 types of quantitative research? ›There are four main types of Quantitative research: Descriptive, Correlational, Causal-Comparative/Quasi-Experimental, and Experimental Research. attempts to establish cause- effect relationships among the variables. These types of design are very similar to true experiments, but with some key differences.
What are 5 examples of quantitative research? ›
- Descriptive Research Design.
- Survey Research.
- Correlational Research Design.
- Quasi-experimental Research Design.
- Experimental Research Design.
What is Qualitative Research? Qualitative research is aimed at gaining a deep understanding of a specific organization or event, rather a than surface description of a large sample of a population. It aims to provide an explicit rendering of the structure, order, and broad patterns found among a group of participants.
What is qualitative research in simple words? ›Qualitative research involves collecting and analyzing non-numerical data (e.g., text, video, or audio) to understand concepts, opinions, or experiences. It can be used to gather in-depth insights into a problem or generate new ideas for research.
How will you use qualitative research in your real life? ›Situations where qualitative research is often used:
New product idea generation and development. Investigating current or potential product/service/brand positioning and marketing strategy. Strengths and weaknesses of products/brands. Understanding dynamics of purchase decision dynamics.
Overall, quantitative finance is a great career path for those who want to use their mathematical skills to help people make informed investment decisions. This job offers high salaries and job stability, which can help you live comfortably while working in an industry that is always changing.
Are quants rich? ›What do Quants Earn? Compensation in the field of finance tends to be very high, and quantitative analysis follows this trend. 45 It is not uncommon to find positions with posted salaries of $250,000 or more, and when you add in bonuses, a quant likely could earn $500,000+ per year.
Is data science a competitive major? ›That's a lot of money, which is why you may be considering enrolling in a bachelor's program in data science. But you may be wondering, too, if data science is too hard a major. Data science is a competitive field, which is why recruiters and employers are looking for the best candidates only.
Are data science degrees worth it? ›According to the Bureau of Labor Statistics, professionals working in data science make an average salary of $103,000 per year — making it a lucrative profession for those who invest in a master's degree.
Is it worth studying data science? ›Yes, data science is a very good career with tremendous opportunities for advancement in the future. Already, demand is high, salaries are competitive, and the perks are numerous – which is why Data Scientist has been called “the most promising career” by LinkedIn and the “best job in America” by Glassdoor.
What major should I take to become a data scientist? ›Computer Science (Computer Science)
Just like engineering majors, computer science is also a basic major that you can take if you want a career as a data scientist. Computer science graduates are believed to be easy to learn about data and have high problem-solving and analytical-thinking skills.
What is a data scientist salary? ›
Despite a recent influx of early-career professionals, the median starting salary for a data scientist remains high at $95,000. Mid-level data scientist salary. The median salary for a mid-level data scientist is $130,000. If this data scientist is also in a managerial role, the median salary rises to $195,000.
Is it easy to get a job with a data science degree? ›Becoming a data scientist takes a lot of hard work, dedication, and learning. However, you have many education options, such as coding bootcamps, online courses, and degree programs, to help you. If you want a profession with job security, career development, and flexible learning pathways, choose data science.
Does data science require coding? ›You need to have knowledge of various programming languages, such as Python, Perl, C/C++, SQL, and Java, with Python being the most common coding language required in data science roles. These programming languages help data scientists organize unstructured data sets.
Should I study computer science or data science? ›“If you like to build new things, then I would recommend computer science, but if you like to analyze, study and reach conclusions based on data that is generated in real time, then data science is for you,” Renella says.
Is data science a computer science? ›Data science is considered a computer science specialization and many master's in computer science programs offer one or more data science or data analytics classes.
Is data scientist highest paying jobs? ›There is a range of data scientist salary based on the type of data science jobs they chose; however, the highest salary of data scientist in India is near about 20 LPA.
Is data science a stressful job? ›Several data professionals have defined data analytics as a stressful career. So, if you are someone planning on taking up data analytics and science as a career, it is high time that you rethink and make an informed decision.
Is data science a stable career? ›Data science is a safe career because it continues to be one of the most high-demand jobs today. This field of study is likely to stay despite the automation advancement as scientists continue to develop better technology and perform judgments that no automation in the world can do better.
Can a BA student become data scientist? ›You can become a data scientist with a BA degree too. You can get a Data Science course and embark on a new journey. Data Science is the field of using systems, algorithms, and scientific methods to extract insights from unstructured and structured data.
How long does it take to become data scientist? ›On average, to a person with no prior coding experience and/or mathematical background, it takes from 7 to 12 months of intensive studies to become an entry-level data scientist.
Are data scientists in demand? ›
A decade later, the job is more in demand than ever with employers and recruiters. AI is increasingly popular in business, and companies of all sizes and locations feel they need data scientists to develop AI models.