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QS Rank:

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161

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University of Bern

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Bern

Switzerland

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Program Rank

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5

The Masters in Artificial Intelligence in Medicine offered by the University of Bern is a cutting-edge program designed to equip students with the critical skills needed to harness the power of artificial intelligence (AI) in the healthcare sector. This 24-month program combines the disciplines of data science, machine learning, and medical informatics, enabling graduates to contribute significantly to the transformation of medical practices. As the field of AI continues to evolve, the demand for professionals who can navigate the intersection of technology and healthcare is rapidly increasing, and this program is at the forefront of this transformation.

Students will delve into a comprehensive curriculum that includes courses in Machine Learning, Natural Language Processing, and Data Analytics in Healthcare. Specialized courses such as Clinical Decision Support Systems and Health Data Management are also offered, enabling students to tailor their education to their career aspirations. The program aims to foster a thorough understanding of how AI can enhance diagnostic accuracy, improve patient outcomes, and streamline healthcare operations. Through an integrated approach that combines theoretical knowledge with practical applications, students will be well-prepared to address real-world challenges in medicine.

The faculty at the University of Bern comprises leading experts in AI and healthcare, who bring a wealth of experience and research expertise to the classroom. The teaching methodology emphasizes a blend of lectures, hands-on projects, and collaborative learning, ensuring that students not only gain knowledge but also develop critical thinking and problem-solving skills. Faculty members are dedicated to mentoring students, providing guidance through research opportunities and encouraging innovative thinking as students navigate complex subjects related to AI in medicine.

Research is a cornerstone of the Masters in Artificial Intelligence in Medicine program. The university offers state-of-the-art facilities and resources, including access to extensive healthcare datasets and advanced computing technologies. Students have the opportunity to engage in projects that contribute to ongoing research in the field, working alongside faculty on groundbreaking studies that address pressing medical questions. This research-centric approach not only enhances learning but also fosters a spirit of inquiry that is essential for future breakthroughs in medical AI.

In addition to its academic rigor, the Masters in Artificial Intelligence in Medicine program boasts strong industry connections and internship possibilities. The university collaborates with leading healthcare organizations and technology companies, providing students with invaluable networking opportunities and exposure to industry practices. The program's emphasis on practical experience is evident in its internship component, where students can apply their skills in real-world settings, further enhancing their employability upon graduation. This direct exposure to the industry ensures that graduates are not only job-ready but also equipped to take on leadership roles in the evolving healthcare landscape.

Graduates of this innovative program can look forward to a diverse array of career pathways, with roles such as Artificial Intelligence Engineer, AI Specialist, and Healthcare Data Analyst among the many options available. The demand for skilled professionals in AI is reflected in the competitive salaries, with median base salaries for graduates reaching approximately $110,000. With a graduation rate of 80% and strong job placement rates, the program equips students with the tools they need to succeed in a rapidly changing job market.

Alumni of the Masters in Artificial Intelligence in Medicine program have gone on to achieve remarkable success in various sectors. They have secured positions at well-respected organizations, including the World Health Organization, National Institutes of Health, and GE Healthcare, among others. Testimonials from graduates highlight the program's robust curriculum and the supportive academic environment, which helped them transition smoothly into the workforce and make meaningful contributions to their respective fields.

Why Study Masters in Artificial Intelligence in Medicine at University of Bern?

  • Renowned faculty with extensive expertise in AI and healthcare, providing students with quality education and mentorship.
  • Cutting-edge curriculum that integrates machine learning, data analytics, and healthcare applications, preparing students for the future.
  • Strong industry connections and internship opportunities ensure real-world experience and enhance job readiness.
  • Access to advanced research facilities, enabling students to engage in impactful projects that push the boundaries of medical AI.
  • High job placement rate and competitive median salaries, reflecting the program's success in preparing students for rewarding careers.

To be eligible for the Masters in Artificial Intelligence in Medicine, candidates must meet specific requirements, including a minimum undergraduate GPA of 3.0 and at least 15 years of prior education. Additionally, applicants are required to submit standardized test scores from either IELTS or TOEFL as proof of English proficiency, with IELTS requiring a minimum score of 7.0 and TOEFL a score of 100 or above. The application process includes submitting a transcript, a statement of purpose, a resume, and letters of recommendation.

In conclusion, the Masters in Artificial Intelligence in Medicine at the University of Bern represents an exceptional opportunity for individuals seeking to advance their careers at the intersection of healthcare and technology. With its strong academic foundation, innovative curriculum, and commitment to research, this program equips students with the skills and knowledge needed to thrive in one of the most dynamic fields in contemporary medicine. Join us and become a part of the future of healthcare!

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Total Tuition Fees

$3,000

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Duration

24 Months

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Median Salary

$1,10,000

Ranking

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#114

US World and News Report

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#101

The World University Rankings

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#161

QS World University Rankings

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Intake

Fall ( Sept - Nov )

Class Profile

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Class Size

40

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Average Age

26

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Average Work Experience

2 Years

Diversity

Asia:

5%

Others:

5%

North America:

10%

South America:

5%

Africa:

5%

Switzerland:

50%

Europe:

25%

Career Outcomes

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Median Earnings After Graduation

$1,10,000 / year

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Graduation Rate

80%

Prospective Job Roles

Artificial Intelligence Engineer

Automotive Service Advisor

Japanese Artificial Intelligence Engineer

Automotive Sales Manager

Automotive Designer

Artificial Intelligence Specialist

Automotive Technician

Automotive Engineer

Artificial Intelligence Researcher

Top recruiters

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Eligibility Criteria

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At least 3 / 4 undergraduate GPA is expected.

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At least 15 years of bachelor degree.

English Proficiency Tests

  • IELTS

    7

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  • TOEFL

    100

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Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

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Application Fee: 100

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    Transcript

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    Passport

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    Statement of Purpose

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    Resume

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    IELTS

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    Academic LOR

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    Professional LOR

Application Deadlines

Standard DeadlineLate
FallApr 30, 2025Aug 31, 2025

Fees and Funding

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Tuition Fees

$1,500 / year

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Overall Cost

$16,000 / year

FAQs

  • Yes, the Department of English uses KSL for the electronic registration for courses and evaluations. Students are required to register for the individual courses before the beginning of term. Please click here for the deadlines and more information about course and assessment registration on KSL.

  • Yes, every ungraded course is evaluated on a pass/fail basis. You have to meet all the course requirements in order to pass the course and receive ECTS for it.

  • You can find more information on course types and modules here. Also, always check the course booklet for more detailed information on the courses you select.

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