BSc in Applied Data Science

3 Years On Campus Bachelors Program

MODUL University Vienna

Program Overview

The BSc in Applied Data Science at MODUL University Vienna is a three-year program that equips you with cutting-edge skills in data analysis, machine learning, AI, and business applications, blending hands-on projects with real-world datasets to prepare you for high-demand tech roles. It's perfect for tech-curious students who love problem-solving, programming, and turning data into business insights—whether you're into stats, AI, or entrepreneurial ventures in a fast-evolving field.

### Curriculum Structure

First Year
You'll kick off with a solid grounding in the essentials, building confidence in core tools and concepts right from day one. Courses like Math and Statistics 1, Fundamentals of Computer Science and Programming, and Fundamentals of Web Programming and Application Development get you coding in Python and understanding data basics, while Research Design teaches you how to tackle real problems methodically. It's designed to make complex topics feel approachable, setting you up for success as you dive deeper.

Second Year
Here, things ramp up with advanced tech and analytics, where you'll master tools used by industry pros every day. Dive into Math and Statistics II, Algorithms and Data Structures, and Database Management and Design to handle big data efficiently, plus Foundations of Artificial Intelligence to explore smart systems and predictive modeling. You'll also cover Time Series Analysis and Forecasting and Knowledge Extraction, Modeling & Visualization, applying them to business challenges like project management and ethical data use—it's exciting, practical work that feels like a sneak peek into your future career.

Third Year
Your final year is all about specialization and real impact, choosing focus areas through enrichment courses like Data Science for Services, Data Science for Business, Data Science for Sustainability, or Data Science for Geographic Information Systems. You'll tackle a Professional Capstone Project with industry datasets using Python, SQL, and R, write your Bachelor Thesis, and prep for internships—gaining 520+ hours of experience to launch straight into the job market.

Focus Areas
Tailor your expertise to industries like services, business, sustainability, healthcare, or geographic information systems through elective enrichment courses, while core strengths include statistics, programming, data engineering, AI/machine learning, and business analytics.

Learning Outcomes
Graduates master advanced data manipulation, predictive modeling, statistical programming, critical thinking, and ethical problem-solving, with hands-on skills in Python, R, SQL, algorithms, databases, AI foundations, and project management—ready for data-driven decision-making in dynamic global roles.

Professional Alignment (Accreditation)
This 180 ECTS program from MODUL's accredited School of Applied Data Science meets EU standards, with options for a 6-month internship extension and seamless pathways from the Tech Foundation Program; it emphasizes industry-relevant tools and capstone projects for immediate employability.

Reputation (Employability Rankings)
MODUL University Vienna stands out for hands-on learning and future-ready skills, with alumni praising exceptional professors and real-world prep in data science—positioning you for booming roles in big data, AI, and analytics amid high global demand.

Ready to take the next step? Apply now at [https://www.modul.ac.at/programs/bachelor-programs/bsc-applied-data-science](https://www.modul.ac.at/programs/bachelor-programs/bsc-applied-data-science).

Experiential Learning (Research, Projects, Internships etc.)

# Why the BSc in Applied Data Science at MODUL University Vienna?

## Your Gateway to Real-World Data Science Skills

At MODUL University Vienna, the BSc in Applied Data Science isn't just theoretical — it's built on the principle that you learn best by doing. Throughout your three years, you'll work directly with real datasets, tackle actual business challenges, and develop the hands-on expertise that employers actively seek. The program integrates practical experience from day one, ensuring you graduate not just with knowledge, but with a portfolio of genuine, industry-relevant work.

From your first year onward, you'll build proficiency in the tools that shape the data science industry today. The curriculum emphasizes applied learning through programming fundamentals, database management, and statistical analysis — all taught through real-world problem-solving rather than abstract theory. By the time you reach your third year, you're not preparing for the workplace; you're already operating within it.

Here's what experiential learning looks like at MODUL Vienna for this program:

- Professional Capstone Project (Internship): A mandatory minimum of 520 hours of supervised internship where you apply data science methods to real-world datasets and gain direct industry experience
- Programming Languages & Tools: Hands-on mastery of Python, SQL, and R — the core languages used across data science roles today
- Database Management & Design: Practical courses that prepare you for real-world data architecture challenges, with students noting how these courses directly translate to professional environments
- Specialized Enrichment Courses: Choose two areas aligned with your interests — Data Science for Business, Data Science for Services, Data Science for Sustainability, or Data Science for Geographic Information Systems — each grounded in actual industry applications
- Project & Change Management: Develop practical skills in managing data-driven projects, entrepreneurship, and innovation planning
- Latest Trends in Data Science: Third-year coursework that keeps you current with cutting-edge developments in the field
- Professional Development & Critical Thinking: Structured guidance on problem-solving methodologies and industry-ready competencies

The school itself, the School of Applied Data Science, conducts cutting-edge research across multiple domains including Natural Language Processing, Computer Vision, Recommender Systems, and Generative AI — meaning you'll learn from faculty actively pushing the boundaries of the field.

This is a program designed for students ready to build a real career, not just earn a degree.

Progression & Future Opportunities

At MODUL University Vienna's BSc in Applied Data Science, you'll dive straight into practical skills through hands-on projects using real datasets, building predictive models with tools like Python, SQL, and R right from your early courses. The program blends theory with real-world problem-solving via the Professional Capstone Project, where you analyze industry data and gain experience equivalent to professional work. You can even extend to a 6-month internship for direct industry exposure, all supported by the School of Applied Data Science, which focuses on cutting-edge research in AI, machine learning, and applications like NLP and computer vision.

This experiential approach equips you with job-ready expertise: here's what stands out for the program:
- Hands-on projects with real datasets: Tackle advanced data manipulation, visualization, and predictive modeling in courses like Algorithms & Data Structures, Knowledge Extraction, Modeling & Visualization, and the Professional Capstone Project.
- Specific software and tools: Master Python, SQL, R for analysis, plus web programming, database management, and tools for AI foundations, blockchain, and time series forecasting.
- Group projects and capstone: Engage in the Professional Capstone Project Seminar and Project & Change Management, fostering teamwork on real-world business challenges.
- Internships: Mandatory Professional Capstone Project (minimum 520 hours) with an optional 6-month extended internship for industry experience in data roles.
- Enrichment courses with practical focus: Choose two from Data Science for Business, Services, Sustainability, or Geographic Information Systems, applying tools to specific industries.
- Research integration: Access the School of Applied Data Science for projects in reinforcement learning, generative AI, recommender systems, and more, led by faculty tackling real societal impacts.

Imagine graduating with a portfolio that screams "hire me" to top employers as a Data Analyst or AI Specialist—this is your chance to apply now and turn data into your career edge. Check the full facilities and campus details here: [MODUL University Facilities](https://www.modul.ac.at/about/campus-life/facilities).