Master of Science in
Artificial Intelligence

The Master of Science in Artificial Intelligence at the Helvetic Institute of Technology is designed for students who want to develop advanced knowledge and practical expertise in artificial intelligence and data-driven technologies. The program focuses on both technical depth and real-world application, preparing students to work with complex AI systems and evolving digital environments.

Students engage with key areas such as machine learning, neural networks, and data analysis, while developing the ability to design, evaluate, and implement AI-driven solutions. The learning approach combines academic rigor with hands-on projects, ensuring that students can apply their knowledge in practical contexts.

The program is built to prepare graduates for advanced roles in the rapidly evolving field of artificial intelligence. By combining technical expertise with applied learning and international exposure, it equips students with the skills needed to contribute to innovation across industries.

Helvetic Tech program description

The Master of Science in Blockchain at Helvetic Tech provides an advanced understanding of blockchain technologies, combining technical expertise with practical application. The program is designed to prepare students to design, implement, and manage decentralized systems in complex environments.

Through a project-based approach, students explore areas such as blockchain architecture, cryptographic protocols, consensus mechanisms, and decentralized applications. The curriculum emphasizes analytical thinking, innovation, and applied problem-solving, enabling students to work on advanced use cases and real-world challenges.

Graduates develop both deep technical competencies and a strategic perspective on how blockchain technologies can be applied across industries.

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Tiffin University program description

The Master of Science in Blockchain at Tiffin University focuses on developing advanced capabilities in digital technologies, systems thinking, and applied problem-solving.

Students engage with topics such as distributed systems, data analysis, and emerging technologies, while strengthening professional skills including communication, leadership, and collaboration. The program combines academic rigor with applied projects and case studies, preparing graduates to design and implement technology-driven solutions in a global context.

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Dual Swiss and US degree program

This program offers a dual-degree pathway delivered in collaboration between Helvetic Tech and Tiffin University. Upon successful completion, students are awarded a Master of Science in Blockchain from Tiffin University, alongside a Swiss qualification delivered by Helvetic Tech.

The program integrates Swiss-based academic support with an internationally recognized American degree. Students benefit from a blended learning model that combines on-campus sessions with coursework delivered through Tiffin University’s platform.

This structure provides both academic depth and flexibility, while exposing students to diverse perspectives and international standards.

Graduates of the program are positioned for advanced career opportunities and further academic progression.

Upon completion of the program, students will have developed:

• An advanced understanding of artificial intelligence and data-driven technologies
• The ability to design and evaluate AI-based solutions
• Knowledge of key areas such as machine learning, neural networks, and data science
• Analytical and problem-solving skills in complex technology-driven environments
• Practical experience through applied projects and real-world case studies

The Master’s program is a two-year program during which the student must obtain 90 CH | 120 ECTS. The program is structured to progressively develop advanced knowledge and applied skills in artificial intelligence.

A standard course of study includes core courses, electives, and a final capstone project, combining coursework delivered by Helvetic Tech and Tiffin University.

The conferring of a degree follows only after completing the following requirements:

• Academic credit requirements – a minimum of 90 CH | 120 ECTS
• Students enrolled in the dual degree program with Tiffin University must also meet the specific TU conditions for graduation

Graduation with honors will be recognized for the superior achievement of Helvetic Tech students at three levels:

• Cum laude – for graduates with a cumulative GPA of 3.50 to 3.79
• Magna cum laude – for graduates with a cumulative GPA of 3.80 to 3.99
• Summa cum laude – for graduates with a cumulative GPA of 4.00 or higher

Helvetic Tech offers more than just a degree. It places students in an environment where learning, industry, and international exposure come together naturally.

Located on the shores of the Swiss Riviera in the Lake Geneva region, the campus sits in one of Switzerland’s most dynamic economic areas. With hundreds of multinational companies nearby, students are surrounded by a global business and technology ecosystem from the start. This proximity creates real opportunities to understand how industries operate and where future careers can develop.

The location also offers a unique lifestyle and strong international connectivity. Students study in one of the most prestigious French-speaking regions of Switzerland, with easy access to major European cities such as Paris, Milan, and Vienna. This makes it possible to experience different cultures and markets while staying in a stable and high-quality academic environment.

Academically, Helvetic Tech combines structured learning with practical application. Small class sizes support a more personalized experience, while project-based work allows students to engage with real-world challenges. The blended format, combining on-campus learning with international coursework, adds flexibility and a global perspective to the program.

Overall, Helvetic Tech provides a setting where students can build their skills, broaden their outlook, and prepare for opportunities in Switzerland, across Europe, and internationally.

Graduates of the dual degree Master of Science in Artificial Intelligence develop advanced technical and analytical skills that can be applied across industries where AI and data-driven technologies are increasingly central.

The dual qualification, delivered in collaboration with Tiffin University, provides graduates with an international academic profile that supports access to global job markets.

Typical career paths include:

• Machine Learning Engineer
• Data Scientist
• AI Engineer
• Computer Vision Engineer
• AI Consultant

Graduates may work in sectors such as technology, finance, healthcare, consulting, and digital services, where artificial intelligence is used to drive innovation and decision-making.

Students may also pursue further academic or research opportunities in artificial intelligence or related fields.

Applicants must meet the official eligibility criteria of Helvetic Tech.

• Academic qualification
  A recognized undergraduate degree or equivalent
• English proficiency
  Minimum level equivalent to IELTS 5.5, TOEFL iBT 72–94, or CEFR B2, if prior studies were not in English
• Application requirements
  Submission of required application documents, including academic transcripts and identification
• Dual degree pathway
  Students enrolled in the program in partnership with Tiffin University must also meet TU admission requirements

The admission process consists of the following steps:

• Submit your application
• Application review
• Admissions interview
• Admissions decision
• Confirm your enrollment
• Next steps (if applicable)

To apply for the dual degree program, you can submit your application and supporting documents through the application form.

Helvetic Tech maintains a focused and high-quality learning environment with small class sizes, ensuring close interaction with faculty and personalized academic support throughout the program.

Given the international nature of the program, early application is recommended, particularly for candidates who may require a student visa. Applicants are encouraged to allow sufficient time for the admissions and visa process.

As the program is delivered entirely in English, students are expected to have a strong level of written and spoken English to successfully engage with academic content, collaborative projects, and international coursework.

The program is structured to develop advanced knowledge and applied expertise in artificial intelligence.

1. Advanced foundations of data and systems

Students strengthen their understanding of core concepts:

• Data science
• Statistical methods
• System design principles

2. Core artificial intelligence technologies

The program develops advanced competencies in AI:

• Machine learning
• Neural networks
• Computer vision
• Reinforcement learning

These areas form the core technical backbone of the degree.

3. Advanced AI applications

Students explore more complex applications:

• Generative models
• AI deployment
• AI applications in real-world contexts

4. Applied learning and practical experience

Students engage in:

• Advanced projects
• Case studies
• Real-world AI applications

This ensures the ability to apply concepts in complex environments.

5. Capstone project

Students complete a final project:

• Research thesis or applied AI solution
• Focus on solving a real-world problem
• Demonstration of advanced technical and analytical skills