This 3-year Bachelor of Science in Applied Data Science is designed for high school graduates aiming for careers in the rapidly growing field of data. The program equips you with foundational and advanced skills to excel in data-driven industries, whether your interests lie in finance, marketing, technology, or entrepreneurship. You will learn to perform advanced data manipulation and visualization, build predictive models, and apply statistical and programming knowledge to solve real-world business challenges. The curriculum emphasizes a blend of theory and practical application, fostering critical thinking, problem-solving, and hands-on experience with real datasets.
The program is structured over three years, building a strong foundation and progressively introducing advanced concepts and practical applications. You will engage with core subjects in mathematics, statistics, programming, and business, alongside specialized data science topics.
Graduates of the BSc in Applied Data Science are prepared for a variety of roles in data-intensive fields. The program equips students with skills in data analysis, machine learning, and AI, making them attractive candidates for positions across technology, finance, consulting, and public sectors.
All English proficiency tests must have been taken within the last two years. For IBDP holders with lower Mathematics scores, a Mathematics Foundation course is available. Students lacking a High School Certificate and last year's transcript may contact recruitment@modul.ac.at for support.
Tuition fees cover classroom study and university services only; they do not include housing or other living costs. Payment options include full payment (with a 3% discount), yearly payment (with a 1.5% discount), or semester payment.
Tuition fees are €9,000 per semester for both home and international students. These fees cover classroom study and university services, but do not include housing or other living costs.
The BSc in Applied Data Science is a 3-year program designed for high school graduates, totaling 180 ECTS credits.
Applicants need a B2 level of English proficiency, demonstrated by an IELTS score of 6.5 overall (minimum 6.0 in writing), or a TOEFL iBT score of 79 overall (minimum 22 in writing).
The recommended application deadline for Fall intake and scholarship consideration is March 15th. Other deadlines vary for non-EU/visa required applicants (April 1st for Fall), visa-free countries (July 1st for Fall), and EU/EEA citizens (August 15th for Fall).
Graduates are prepared for roles such as Data Scientist, Machine Learning Engineer, AI Specialist, Data Engineer, and Data Analyst in technology, finance, consulting, and public sectors.
You can apply through the online application portal. Required documents include a CV, letter of motivation, high school certificate/transcripts, passport copy, photograph, and proof of English proficiency.