BSc Applied Data Science

Program Overview

BSc Applied Data Science

WHY CHOOSE THIS PROGRAM?

From mastering advanced data manipulation techniques to leveraging predictive analytics, our BSc in Applied Data Science equips you with the tools to excel in diverse industries such as finance, marketing, and technology.

MU Vienna’s multidimensional approach combines rigorous academic theory, practical application, and critical thinking. Immerse yourself in the fascinating world of data science, unlock your potential, and become a sought-after expert in the fields of advanced analytics, entrepreneurship, and leadership.

Students should be interested in…

• Statistics and programming
• Data science and engineering
• Management and problem solving
• Artificial Intelligence

The industry moves so quickly nobody knows where data science will be next month, let alone three years. This program, taught by an experienced and innovative faculty, gives you the skills and mindset to succeed whatever the future brings and in fields which may not even exist today.

Start your data-driven future with this program designed for high school graduates seeking practical expertise in the dynamic field of data science. Our internationally experienced teaching staff are ready to set you up for a diverse and evolving career in the fields of data science, business intelligence and machine learning.

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.

• Semester 1:
  • Math and Statistics 1
  • Foundation of Artificial intelligence
  • Fundamentals of Computer Science and Programming
  • Legal Aspects of Data Science
• Semester 2:
  • Applied Linear Algebra
  • Database Management and Design
  • Math and Statistics II
  • Societal and 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.

• Semester 3:
  • Text Mining and Media Analytics
  • Fundamentals of Web Programming and Application Development
  • Time Series Analysis and Forecasting
  • Bulletpoints: Blockchain Applications
  • Research Design and Writing Skills
• Semester 4:
  • Knowledge Extraction, Modeling & Visualization
  • Project Management and Change Management
  • Entrepreneurship, Innovation and Business Planning
  • Critical Thinking and Problem Solving
  • Smart Information Systems Engineering
  • Bachelor Thesis Tutorial

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.

• Semester 5:
  • Latest Trends in Data Science
  • Internship Preparatory Course
  • Enrichment course*
  • Enrichment course*
  • Bachelor Thesis
• Semester 6:
  • Professional Capstone Project Seminar
  • Professional Capstone Project (Internship)

Internship:

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.

Lecturers

• Daniel Dan, Assistant Professor
• Drag
• Lyndon Nixon, Associate Professor
• Horst Treiblmaier, Full Professor
• Reinhard Vock, Lecturer

Testimonials

“As one of the first students in the "Applied Data Science" program, I've already gained valuable knowledge and hands-on experience from exceptional professors. The best part about our university is the small classrooms. I am now starting my third semester as an exchange student at the University of Central Florida in Orlando. The journey ahead promises to be full of rewarding experiences and personal growth.”

Clarissa Wölfer, 3rd Semester BSc in Applied Data Science

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
• One letter of recommendation (from academic sources)
• Proof of English proficiency level B2

Tuition Fees

Program | Semesters | Fees / Semester ---|---|--- BSc Applied Data Science | 6 | €8000

Student Housing

Austrian universities typically do not have their own student housing accommodations. Instead, students in Vienna have a variety of excellent housing providers located throughout the city. Wherever you choose to live, there are some factors that you might want to consider in making your choice.

• Student Accommodation