BSc in Applied Data Science
Modul University Vienna
Key Information
Campus location
Vienna, Austria
Languages
English
Study format
On-Campus
Duration
3 years
Pace
Full time
Tuition fees
EUR 7,740 / per semester **
Application deadline
01 Apr 2024*
Earliest start date
16 Sep 2024
* for EU and Schengen countries, please visit: https://www.modul.ac.at/article/view/all-you-need-to-know-about-application-deadlines
** Reductions and Grants available for eligible students
Introduction
Why should you choose Applied Data Science?
This BSc program is the perfect choice for high school graduates who are interested in learning the practical applicability of data science knowledge to various industries. Students will discover a multi-disciplinary perspective on how to solve real-life problems that require a mathematical approach, alongside theoretical knowledge of quantitative methods and business management.
Learn How to Manage Big Data
Your curiosity regarding numbers, data analysis, and the continuous advancements made concerning tools and methods for analyzing this data e.g. artificial intelligence, machine learning, and blockchain, offer promising career opportunities for data science graduates. Interdisciplinary data scientists who know how to apply theoretical data science knowledge to solve real-world problems in the field of business and services are particularly in demand. Data scientists support managers in their fundamental goal of making data-driven decisions. Each semester has been carefully designed to guide you through the process of ubiquitous data collection and processing capabilities that enable decision-makers to adapt business strategies in today's fast-changing environment. Solving complex, real-world problems in a wide variety of industry and services require specialized skills in statistics, calculus, computer science, societal, ethical, and legal considerations within data science, as well as business management, including administration, project management and critical thinking.
Program Tuition Fee
Curriculum
The curriculum of the Bachelor of Science in Applied Data Science program has the overall objective to create a hands-on learning experience for these specialized skills, with a strong focus on the practical application of the taught tools and methods to various problems among different industries. This focus is manifested in a great variety of teaching methods reflecting applied learning practices, such as real-world projects, case studies, and collaborations with experts and professionals. A mix of individual and group work enables the development of soft skills, such as time management and the ability to work in a team.
Semester 1
- Math and Statistics I
- Foundation of Artificial Intelligence
- Fundamentals of Computer Science and Programming
- Business Administration
- Legal Aspects of Data Science
Semester 2
- Applied Linear Algebra
- Database Management and Design
- Algorithms and Data Structures
- Math and Statistics II
- Societal and Ethical Aspects of Data Science
Semester 3
- Text Mining and Media Analytics
- Fundamentals of Web Programming and Application Development
- Time Series Analysis and Forecasting
- 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
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)
*choose from:
Data Science for Services
Data Science for Businesses
Admissions
Career Opportunities
Career opportunities for graduates of the Bachelor of Science in Applied Data Science:
- Data Scientist, Data Engineer, Consultant, Machine Learning Engineer, Quantitative Analyst
- Data Warehouse Architect, Business Intelligence Analyst, Marketing Analyst
Industry sectors:
- Consultancy and market research, insurance and the financial industry, media and communication companies
- Product and commerce, logistics and transport, healthcare, research positions