FAQ Bachelor Artificial Intelligence & Machine Learning

Typically, there are between 15 and 30 students in a class (a given year has 40-50 students). 

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No, the number of study places is not limited. If you fulfill the admission criteria and enroll before the registration deadline, you are entitled to a place on the program.  

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The Lucerne School of Computer Science and Information Technology offers both in-person classes on its Rotkreuz campus and online classes. We greatly value a balanced mix of face-to-face dialog and flexible work from home. 

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Yes, you are entitled to a leave of absence of two semesters maximum. 

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You can change study track until about a month before the commencement of studies. 

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We are keeping an eye on the AI labor market. More than a monthly 400 job openings are published in Switzerland, and these numbers are rising fast. The jobs advertised exist across industries, companies of all sizes, and a multitude of professional profiles. Check out our

. Thanks to our extensive experience, we offer a bespoke qualification to match the demands of this future-facing jobs market. 

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We expect familiarity with IT and computer hardware/software. We offer a short

for students without prior learning in these areas.  

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At the beginning, yes. AI and Machine Learning are really cool technologies, and really powerful. But they are built on some really clever concepts, which require a good understanding of standard mathematical topics like statistics and linear algebra. 

In the first two to three semesters, you will get an introduction to foundational math. Most of our students find these classes easy to follow. In higher semesters, there will be less math and more applications and programming.

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Artificial Intelligence is not new technology but in recent years there have been huge breakthroughs in its performance. We now have machines that can perform as well as humans or better in many tasks, such as computer vision, self-driving cars, automatic translation, medical diagnostics etc. 

Almost all industries are realizing the huge potential of this technology and are investing heavily. AI really is a key technology of the future. A qualification in AI and machine Learning will enable you to participate in and contribute to this new wave of innovation, and to work on exciting projects later in your career.

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Typically, our students have a technical vocational baccalaureate. However, this is not the only pathway to our program. You can also enroll in our program with a non-technical (e.g., commercial) vocational baccalaureate. In this case, you are required to attend a short preparatory course in math and/or some other technical subjects. 

If you have an academic baccalaureate, you will also need at least one year of professional experience. We also accept international students. They need German-language skills at C1 level and fulfill the criteria specific to their country of residence as defined by swissuniversities.

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Yes, if you have already taken relevant subjects, you don’t have to attend them again in this program. We can recognize academic credits (ECTS) awarded by other universities.

However, to be recognized, the modules you have completed must have covered most of the content of the modules that make up our AI/ML BSc program. Also, you must have been awarded a grade equivalent to a 5.0 grade for them.

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The university admission qualifying certificate is your school-leaving certificate that entitles you to study at a university-level institution. They include diplomas such as the vocational baccalaureate or the academic baccalaureate. You can find all the relevant information about our admission requirements on this website.

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You need German language skills at C1 level. Your English language skills should be at B2.  

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Die Unterrichtssprache ist Deutsch. Vereinzelte Module werden in Englisch unterrichtet. 

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Yes. We hve an extensive network with partner universities in Asia, Europe and North America. Our students may attend a Semester abroad. 

In addition, we also offer the opportunity to participate in shorter, international projects and summer schools for students who don’t want to spend as much time abroad. We will also introduce a dual degree program with our partner universities in the future. Watch this space!

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Yes. There is no limit to the number of semesters you can attend abroad. 

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No, your grades have no bearing on your options. 

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Yes, you may also attend a semester abroad part time. 

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Yes, we offer the opportunity to study part-time. You can work up to 0.6 FTE while studying. Learn more about the different study tracks here.

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To accommodate students in the work-study or part-time track, we have designed a curriculum where classes are scheduled on two set days a week, plus, in some cases, some additional evenings and Saturday mornings. This leaves three full days a week for other activities. 

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Yes, you may switch in any semester after completing the assessment semesters. However, you will still have to meet any deadlines. 

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Yes. We offer a consecutive MSc program in Data Science for students with good grades. It is an excellent way to build on the skills developed in the BSc program in AI and Machine Learning. 

It is an advanced program with instruction and research in areas like deep learning, computer vision, and natural language processing (NLP). We also have an excellent AI research team that works with the most talented MSc students on industry projects with our Swiss partner organizations. It is a great way to experience AI and applied machine learning in practice. 

Some of our alumni move on to study for a MSc at another Swiss university, e.g., in Zurich, Basel or Bern.

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The field of artificial intelligence currently offers great career opportunities - a trend that will likely continue for years to come. Technically inclined students can use their AI talent in the fields of software engineering, product development, and data science.

Students interested in a business career have great opportunities in AI consulting or as AI entrepreneurs with their own start-ups based on these technologies. There’s no time like today to study AI. This is also reflected by the fact that, around the globe, AI specialists can expect generous salaries. You can find more information here.

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Are you planning to study in Lucerne and have just arrived in town? Then check out the information about student life in the city. Lucerne and its suburbs offer varied accommodation options from shared apartments to student housing. Just make sure to look into accommodation as early as you can, as these spaces are highly sought-after.

Here, you will also find useful information on arriving, living and studying in Lucerne, neatly compiled for your convenience.

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The HSLU supports students with e.g., a semester off for pregnant women, information about family benefits and the Campus Lucerne daycare center. 

Learn more on the “Studying and Family” page.

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