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Become a Data Protection Leader With a Degree in Computer Science with an Artificial Intelligence Emphasis
WVPU’s BS in Computer Science with an Emphasis in Artificial Intelligence focuses on computer science, machine learning and data analysis. Students learn to develop algorithms and systems for a variety of applications, including healthcare, economics and life sciences. The program also helps students develop strong math, writing and communication skills.
Combining classroom learning and hands-on training, students learn program and system verification, usability, modeling and project management. In addition, they learn to plan and execute projects that solve real-world challenges.
Computer Science at WVPU
Discover the Computer Science Department at Webster Vienna and learn more about our Computer Science with an Emphasis in Machine Learning (BSc) program. Students build strong foundations in software development, algorithms, data management, machine learning and cybersecurity fundamentals while developing problem-solving and technical communication skills. Courses are taught in small classes with individual academic support, within an international community representing over 70 nationalities. Graduates earn a dual-accredited U.S. and Austrian degree and are prepared for careers in software, data and machine learning, cybersecurity-related fields or further graduate study.
Transcript
[Music starts.]
[Prof. Dr. Peter M. Roth stands in front of a blank background, and emphasizes with his hands as he speaks.]
Roth: AI is everywhere. In your phone, automatically completing your sentences. In your car, safely navigating you to your destination. In your home, automatically adjusting the temperature.
Roth: AI is revolutionizing healthcare. It's speeding up engineering. It's creating virtual content like images, sound or even movies.
[A montage of background footage depicting traffic, computers, modern medical technology, and other examples of innovation appears behind the professor.]
Roth: The world needs thinkers, builders and leaders understanding this kind of technology and bringing the whole topic forward.
[Webster Vienna Private University logo appears]
Text on screen: Inside … a focus on Degree Programs.
Text on screen: Computer Science. Prof. Dr. Peter M. Roth Dept Head of Computer Science.
Roth: IT experts are fired. AI kills software development jobs. Is there still a reason to study computer science? Absolutely yes.
Roth: AI can replace routine jobs, but it cannot replace the core competence of computer scientists. It just transforms their role. The world do not need just experts who are able to code, but also to develop system to interpret data and to raise the awareness for ethical issues.
Roth: So therefore the need for AI experts with exactly this expertise is higher than ever. To become a successful computer scientist, a wide range of expertise is required. From mathematics, statistics, probability theory, programming, databases and even human computer interaction.
[A montage of various shots depicting artificial intelligence and its applications is shown.]
Roth: This program combines technical depth, social economic awareness and user centered thinking. Small group learning enables personal interaction and a special classroom experience, making this program unique.
[A montage of interior shots of Webster Vienna and the Computer Science program brochure is shown.]
Roth: Are you fascinated by algorithms driven by practically relevant problems and interested in the impact of AI in different fields from art to economics? Then this program is your path to a dynamic and successful career.
Roth: Dive into the technology that powers tomorrow.
Roth: Are you ready to join this program?
[The music fades out as the professor’s image fades to black.]
Text on screen: We want You! Join us!
[WVPU logo appears].
Learning Outcomes
Students who complete this program will be able to:
- Demonstrate a mastery of computer science in the core knowledge areas of software development, algorithms and data structures, computer organization, hardware, architecture, and data and information management, and theoretical foundations of the discipline.
- Apply knowledge of computer science to solve complex and unpredictable problems.
- Describe how technological advances impact social issues and professional practice.
- Write and orally communicate technical material effectively and professionally.
- Demonstrate an understanding of the vocabulary of machine learning and data analysis terms and phraseology.
- Demonstrate a working knowledge of machine learning and data analysis in practice.
- Describe the roles, responsibilities and tools of a machine learning and data analysis professional.
200,000+
Alumni from our Global Campuses
Information about the BS in Computer Science with an Emphasis in Artificial Intelligence
Admission to the BS program in Computer Science with an Emphasis in Artificial Intelligence follows the general admission requirements for undergraduate programs with supplemental requirements.
- Proof of a strong foundation in mathematics, demonstrated through:
- Minimum secondary school grades in all math courses in the last 3 years of secondary school of 3.0 based on a 4-point scale or its converted equivalent in international or state-recognized educational systems, or
- Minimum grades in the last year of specific educational programs/minimum scores in school leaving examinations, as follows (or their equivalents in other countries).
- Table: Minimum Grade or Exam Requirements (or equivalents) for Mathematics:
| Test | Minimum Grade |
|---|---|
| Calculus | B |
| Pre-Calculus | A |
| IB Mathematics HL (AA or AI) | 5 |
| IB Mathematics SL (AA or AI) | 6 |
| Austrian Matura Mathematics | 2 |
| German Abitur Mathematics | 2 |
| UK GCE Mathematics (A-Levels) | B |
| AP Calculus | 4 |
| SAT Math | 600 |
| Serbian Diploma Math | 5 |
| Ukrainian Diploma Math | 11 |
- In addition, applicants to the Computer Science (BSc) program must submit:
- one recommendation letter testifying to the student’s skills and interest in Information Technologies from the applicant’s teacher, supervisor or similar;
- Summary of related extra-curricular activities and competitions (e.g., Robotics, Coding/Programming, "Hackathons (Science and Technology fairs)" or out-of-school courses or projects.
Find out more about specific classes and the full curriculum in our catalog at Computer Science with an Emphasis in Artificial Intelligence
Study Plans for individual classes will be available through Connections (requires login).