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QS Rank:

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224

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Friedrich-Alexander-University Erlangen-Nürnberg

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Bavaria

Germany

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Program Rank

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126

The Master of Science in Artificial Intelligence at Friedrich-Alexander-University Erlangen-Nürnberg is meticulously designed for students who aspire to specialize in one of the most transformative fields of our time. This comprehensive program encompasses a robust curriculum that integrates theoretical foundations with practical skills, ensuring that graduates are well-equipped to tackle real-world challenges. From machine learning and data analytics to cognitive computing and robotic systems, the curriculum lays a strong groundwork that is essential for a successful career in artificial intelligence. The program spans over 24 months and is structured to include both core and elective courses, allowing students to tailor their educational experience to their interests and career goals.
Students will engage with courses such as Machine Learning, Natural Language Processing, and Computer Vision. These subjects are complemented by hands-on projects that encourage innovation and creativity. The curriculum also includes Ethics in AI, which is increasingly important in today’s tech landscape, ensuring that graduates not only understand the technical aspects of AI but also the ethical implications of their work. Additionally, the program offers advanced elective options in specialized areas such as Deep Learning and Robotics, providing students with the opportunity to delve deeper into advanced topics of interest.
The faculty at Friedrich-Alexander-University Erlangen-Nürnberg comprises esteemed professors and industry experts who bring a wealth of knowledge and experience to the classroom. The faculty's commitment to research and student development is evident through their availability for one-on-one mentorship and collaborative projects. The teaching methodology emphasizes a mix of lectures, interactive sessions, and hands-on labs, fostering an engaging learning environment that promotes active student participation. The faculty also encourages students to contribute to ongoing research projects, thereby enhancing their practical skills and understanding of the subject matter.
Research opportunities within the program are extensive, with access to state-of-the-art laboratories and research centers that focus on cutting-edge AI technologies. Students can participate in various research initiatives, contributing to significant advancements in artificial intelligence. The university's partnerships with leading tech companies and research institutions provide students with unique internship opportunities, further bridging the gap between academic knowledge and industry application. This practical experience is invaluable and often leads to job placements post-graduation.
Regarding career pathways, graduates of the MSc in Artificial Intelligence program can expect to enter a diverse array of sectors, including technology, finance, healthcare, and consulting. With a median base salary of approximately €110,000 and a graduation rate of 80%, the program boasts impressive job placement statistics. Alumni have successfully transitioned into roles such as Artificial Intelligence Engineer, Management Consultant, and Research Scientist, among others. The extensive alumni network is an invaluable resource for new graduates, providing mentorship and potential job opportunities.
In addition to the academic rigor, the program’s unique features set it apart. The international diversity within the student body enriches the learning experience by promoting cross-cultural collaboration and a global perspective on technological advancements. Furthermore, the university’s commitment to innovation and research excellence is reflected in its investment in the latest technologies and facilities, which are made available to students for both learning and research purposes.
Why Study MSc in Artificial Intelligence at Friedrich-Alexander-University Erlangen-Nürnberg

  • An acclaimed program consistently ranked among the best in the field.
  • Access to cutting-edge research facilities and technology labs.
  • Expert faculty with extensive industry and research experience.
  • Strong industry connections offering internship and job placement opportunities.
  • A diverse student body fostering a collaborative and dynamic learning environment.
  • Strong alumni network aiding in career advancement and mentorship.

To be eligible for the MSc in Artificial Intelligence program, applicants are required to hold a bachelor’s degree with a minimum GPA of 3.0 or equivalent. Additionally, candidates must have completed at least 15 years of education. Proficiency in English is mandatory, with an IELTS score of at least 5.5 or a TOEFL score of 80. Prospective students need to submit essential documents such as a transcript, statement of purpose, resume, and letters of recommendation.
The application process is straightforward, with deadlines set for both the summer and winter intakes, ensuring ample opportunity for prospective students to plan their applications effectively. As a program that cultivates not only technical expertise but also innovative thinking within the realm of artificial intelligence, the MSc at Friedrich-Alexander-University Erlangen-Nürnberg is a superb option for students eager to make their mark in this exciting and evolving field. With its comprehensive approach, state-of-the-art resources, and a strong emphasis on real-world applications, this program is a gateway to a successful career in artificial intelligence.

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Total Tuition Fees

$1

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Duration

24 Months

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Median Salary

$1,10,000

Ranking

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#224

QS World University Rankings

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Intake

Winter ( Jan - Mar )

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Intake

Summer ( July - Sept )

Class Profile

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Class Size

50

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Average Age

26

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Average Work Experience

2 Years

Diversity

Europe:

10%

Africa:

1%

Others:

1%

Germany:

80%

Asia:

5%

North America:

2%

South America:

1%

Career Outcomes

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Median Earnings After Graduation

$1,10,000 / year

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Graduation Rate

80%

Prospective Job Roles

Manager

Waste Management Engineer

Sports Management

Management Consultant

Marketing Manager

Project Manager

Sales Manager

Management Accountant

Financial Manager

Global Marketing Manager

Program Manager

Engineering manager

Artificial Intelligence Engineer

Japanese Artificial Intelligence Engineer

Artificial Intelligence Specialist

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

    5.5

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  • TOEFL

    80

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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.

intake

Application Fee: n/a

  • intake

    Transcript

  • intake

    Passport

  • intake

    Statement of Purpose

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    Resume

  • intake

    IELTS

  • intake

    Academic LOR

  • intake

    Professional LOR

Application Deadlines

Standard Deadline
SummerNov 30, 2024
WinterMay 31, 2025

Fees and Funding

intake

Tuition Fees

$1 / year

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Overall Cost

$20,000 / year

FAQs

  • 80
  • A: No, we do not require hard copies of your documents at any point during this process.
  • A: Yes, admission is possible starting both in the summer and in the winter.

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