BSc in Applied Data Science

BSc in Applied Data Science

180
ECTS credits​
6
semesters
30
students per class
€9.000
per semester

WHY CHOOSE THIS PROGRAM?

Designed for Future Data Experts
This 3-year BSc in Applied Data Science is tailored for recent high school graduates ready to launch a career in one of the world’s fastest-growing fields. Whether your interests lie in finance, marketing, technology, or entrepreneurship, this program provides the foundational and advanced skills to thrive in data-driven industries.
Master Advanced Analytics and Predictive Modelling
From day one, you’ll dive into the core of data science, harnessing the power of data to solve real-world problems.
By the time you graduate, you’ll be able to:
  • Perform advanced data manipulation and visualization
  • Build and evaluate predictive models
  • Apply statistical and programming knowledge to diverse business challenges
Blend Theory with Real-World Problem Solving
Modul University Vienna’s multidimensional approach ensures you’re not just learning concepts, you’re applying them.
Key program features include:
  • A focus on critical thinking and problem-solving
  • Hands-on projects with real datasets
  • Exposure to entrepreneurial and leadership strategies in tech
Explore a Broad Range of Interests Within Data Science
This program is ideal for students passionate about:
  • Statistics and programming
  • Data engineering and architecture
  • Artificial intelligence and machine learning
  • Business management and operational analytics

 

 

Stay Ahead in a Rapidly Evolving Industry
The pace of change in data science is unmatched. And this program is designed to keep up.
You’ll be taught by a forward-thinking faculty who will equip you with:
  • Future-ready skills adaptable to emerging technologies
  • A mindset built around lifelong learning and innovation
  • Tools to succeed in roles that may not yet exist today
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Ingo Frommholz

School Head for Applied Data Science

Modul University Vienna is an inspiring place for both students and faculty. As Professor of Applied Data Science, I value the university’s diverse and multicultural environment, innovative curriculum, and close-knit academic community. Small class sizes create space for genuine interaction and collaboration, and the international student body makes every discussion rich and unique. I especially appreciate how MU fosters not only technical excellence and its application, but also responsible and human-centered perspectives on AI and Data Science in teaching and research. For students joining us, my advice is: be curious, be critical, engage fully with your peers and lecturers, and take advantage of Vienna’s vibrant cultural and scientific life — it will make your journey here truly rewarding.

Study Plan

First Year

Build a solid foundation in mathematics, statistics, programming, and business administration. Connect data science with practical management problems and explore legal frameworks and IT system vulnerabilities. Deepen knowledge in databases, algorithms, and societal/ethical aspects of data science.

Second Year

Apply knowledge to practical domains like web programming, text mining, and media analysis. Gain skills in time-series analysis, research design, and writing. Prepare for an entrepreneurial career with courses in entrepreneurship, innovation, critical thinking, and project management. Enhance data processing knowledge and develop smart information systems.

  • Math and Statistics 1
  • Foundation of Artificial intelligence
  • Fundamentals of Computer Science and Programming
  • Fundamentals of Web Programming and Application Development
  • Research Design

  • Applied Linear Algebra
  • Database Management and Design
  • Math and Statistics II
  • Algorithms and Data Structures
  • Legal Aspects of Data Science

  • Academic Writing
  • Blockchain Applications
  • Project and Change Management
  • Smart Information Systems Engineering
  • Time Series Analysis and Forecasting

  • Knowledge Extraction, Modeling & Visualization
  • Societal and Ethical Aspects of Data Science
  • Entrepreneurship, Innovation and Business Planning
  • Bachelor Thesis Tutorial
  • * Enrichment Course

Third Year

Apply data science tools and methods in various industries through enrichment courses. Choose specialized areas like data science in services, business, healthcare, and geographic information systems. Write a bachelor thesis and gain internship preparatory skills. Engage in a Professional Capstone Project, analyzing real-world data sets and gaining industry experience with Python, SQL, R, and other analysis tools.

  • Latest Trends in Data Science
  • Critical Thinking and Problem Solving
  • Professional Development
  • * Enrichment course
  • Bachelor Thesis

  • Professional Capstone Project Seminar
  • Professional Capstone Project (Internship)

Choose from:

  • Quantum Computing for Data Science
  • Data Science for Business
  • Data Science for Sustainability
  • Data Science for Geographic Information Systems

With a strong emphasis on real-world projects and team collaboration, our BSc in Applied Data Science gives you hands-on experience in managing complex data-driven projects - manifest in the mandatory Professional Capstone Project.
This specialist professional project, which takes place in your sixth semester just before graduation, provides ample opportunity to work on the real life professional business cases that will set you up for success directly after university.
Internships provide MU Vienna students with real-world exposure, allowing them to apply classroom knowledge in practical settings, develop essential skills, and make informed career choices within the sector they wish to join.

Students have to complete the Internship Preparatory Course which will equip them with the knowledge and skills they need in order to find and complete the required internship.

 

Learn more about internships by contacting our Student Services Center where our dedicated team offers assistance in reviewing resumes and documentation for internship and job applications, ensuring that you present yourself effectively to potential employers. Assistance in reviewing resumes and documentation for internship and job applications, ensuring that you present yourself effectively to potential employers.

Career Prospects for BSc in Applied Data Science

This program equips students with cutting-edge skills in data analysis, machine learning, and AI, preparing them for careers as data scientists, engineers, analysts, and consultants. Graduates find opportunities across technology, finance, consulting, public sector, and media.

  • Google, Microsoft, IBM, Amazon, SAP
  • JPMorgan Chase, Goldman Sachs, Deutsche Bank, Allianz, Credit Suisse
  • McKinsey & Company, BCG, Deloitte, Accenture, EY
  • National Statistical Offices, UN, WHO, Local Government Agencies
  • Spotify, Netflix, Telekom Austria, Verizon, Facebook

  • Data Scientist, Machine Learning Engineer, AI Specialist, Data Engineer, Software Developer
  • Quantitative Analyst, Risk Analyst, Data Analyst, Financial Data Scientist, Business Intelligence Analyst
  • Data Consultant, Business Intelligence Analyst, Analytics Consultant, Strategy Analyst
  • Data Analyst, Policy Analyst, Public Health Data Specialist, Data Governance Officer
  • Audience Analytics Manager, Product Data Analyst, User Behavior Analyst

  • Technology & Software Companies
  • Finance & Banking
  • Consulting & Business Intelligence
  • Government & Public Sector
  • Media & Telecommunications

Bachelor Admissions

When applying to Modul University Vienna for a Bachelor program, you need to meet the following admissions entry requirements and provide your documents in English through our application portal

  • Curriculum vitae (personal data sheet) 

  • Letter of motivation (description of reasons for applying to Modul University Vienna) 

  • High school certificate 

  • High school transcripts of records 

  • Copy of passport 

  • Passport-sized photograph 

  • Proof of English proficiency level B2 

*Please submit all the documents in a pdf format

All bachelor applicants must provide proof of their English proficiency, at minimum level B2 - according to the Common European Framework of Reference for Languages - through a test taken within the last two years. We accept different English Certificates, you can choose the one that suits you from the list below.

When applying, our Student Recruitment Advisors can exempt you from providing the High School Certificate and last year's study transcript. If you lack these documents, please email us at recruitment@modul.ac.at and our team will provide support to continue your application.

ACCEPTED ENGLISH PROFICIENCY REQUIREMENTS FOR BACHELOR APPLICANTS:  

  • TOEFL Internet-Based Test– 79 points. A minimum of 22 points in writing is required 

  • IELTS – band score 6.5. We do not accept sub-scores below 6.0. A minimum of 6.0 in writing is required 

  • Cambridge Certificate – First Certificate in English (FCE): Minimum grade B and a minimum of 173 points are required

  • Pearson Academic – 59 points   

  • Exceptions will only be considered for students who are English natives or have completed their high school education entirely in English at recognized International Schools following American, British, or IB curricula.  Our admissions committee maintains the authority to request any additional evidence of English proficiency if deemed necessary. 

If you applied for a bachelor program and did not meet all requirements, you may still be accepted to study at Modul University Vienna on the condition of first completing our one-semester Foundation Program. You do not need to apply separately or again for the Foundation Program.  

Check High School Requirements by Country

Criteria for International Schools Curriculum: If you have attended an international school in any country and followed an American, British, or International Baccalaureate curriculum, please review the admissions criteria specific to your curriculum below.

 

See what criteria apply to you based on your high school leaving certificate:

Please keep in mind that depending on your school system, you might need to complete the Foundation Program prior to your Bachelor Program. 

STUDENT HOUSING

Finding the right place to live in a new city can feel overwhelming—but at Modul University, you don’t have to navigate it alone.
We offer a dedicated, personalized accommodation service designed to support every student from the very beginning of their journey. MU is partnered with an array of housing partners in different categories that allow us to provide our students with special pricing and discount codes.
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Study Abroad

Whether you're an MU student preparing to explore the world or a student from one of our partner institutions considering a semester on our stunning Kahlenberg campus, our exchange opportunities offer a life-changing academic and cultural experience.
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Student Stories

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Clarissa Wölfer

BSc in Applied Data Science

The curriculum for the Applied Data Science Program at Modul University effectively blends theoretical knowledge with practical applications. Courses typically start with a theoretical foundation, followed by hands-on projects that allow us to apply what we've learned. This approach ensures that we are not just preparing for exams but gaining real-world experience that will be extremely important and valuable in our future careers.
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Enfendzhyan Arutyun

BSc in Applied Data Science

Working with computers has always been my strong suit. I enjoyed being the "IT guy" throughout my life and no matter what the task was, if it involved many interactions with a computer, I would do that task well. I have been working as a software engineer since the age of 16, developing software across various platforms, including iOS, Android, web, and backend. However, as much as being a software engineer is empowering, in the realm of IT, AI stands out as the trendiest topic. At the time of applying, I was working on a startup project that required me to know more about building machine learning models. Modul was the only university in Vienna that offered bachelor’s degree data science in English. Nevertheless, I am delighted to have become a part of MU. Apart from providing a great course to study data science, it has afforded me opportunities to connect with exceptional individuals, engage in challenging projects, and showcase my talents beyond classroom assignments and topics.

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Start your application process here

Have any questions about studying at MU or the application process? Connect with our Student Recruitment Team and they will assist you every step of the way.  

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