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[Notice] 2025-2026 Admission round (Feb 2025 ~ Jul 2025)

[Notice] 2025-2026 Admission round (Feb 2025 ~ Jul 2025)

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GIAI Admin

Dear all,

Official admission round for the cycle of 2025-2026 will be in following schedule.

  • 2025-2026 admission round: Feb 3rd, 2025 ~ Jul 27th, 2025

1.MSc AI/Data Science admission examination

For MSc AI/Data Science, there will be an admission examination. As usual, we have a prep course attached to the exam, which covers previous exam questions.

  • Prep course: SIAI103 | GIAI
  • Course fee: CHF 800
  • Examination: Jul 12th and 13th, 2025 (Take home exam)
  • Grade report: By Jul 20th, 2025

Following two courses from PreMSc AI/Data Science will be the core of the examination

Successful candidates require minimum 60% or above, and students over 70% achievements will be rewarded with paid RA/TA opportunities.

The same condition is applied to PreMSc students.

The examination is to test

  • Math/Stat understanding of asymptotic properties
  • Scientific reasoning to best use of math/stat tools to solve real world problem
  • How fast an outside candidate can learn SIAI's education style

Grading will be done and reported on the course page within a week of examination.

Registration for the Prep course will be available from Apr 1st, 2025.

In addition to the examination requirement, a candidate must properly process the admission on SIAI Apply on SIAI's student information system.

2. All other admission processes

From cycle of 2025-2026, we no longer run an admission exam for MBA/PreMSc, but students are strongly recommended to attend Math & Stat prep, freely provided by GIAI, the mother institution of SIAI. Unless students go for MBA's Business Track, SIAI faculty members believe Math & Stat prep is minimum requirement for the successful graduation.

In case needed, GIAI's LMS platform also provides a short course discussing two previous exam question from the 1st course of MBA/PreMSc program, which used to be the Prep course for MBA admission. We believe this crash course can help students to understand required level of scientific training for MBA / PreMSc programs.

Except MSc admission exam, all other prep courses will be available from Feb 3rd, 2025.

In addition to aforemented pre-steps, a candidate must properly process the admission on SIAI Apply on SIAI's student information system, and successful candidates will be informed usually within a month of application.

3. Right academic program to choose

In case you have not decided which program to apply, please pay a visit to Guide for Right Program.

Although many applicants dream to graduate from MSc AI/Data Science, based on the previous record, we have witnessed that only highly qualified few students survive from the program. We strongly recommend students to start from PreMSc, if they want to pursue further academic career (including PhD) or looking for jobs requiring high mathematical caliber. Otherwise, MBA's technical track, which is nearly identical to PreMSc, has proven enough for most jobs.

It has been reported by earlier students that SIAI's AI MBA or PreMSc is as mathematically driven as MSc Business Analytics from MIT, one of the most scientifically reputed univerisities in the world.

Please do not over-estimate your capability and under-estimate SIAI's technical MBA programs.

During the first 8 months of MBA/MSc, you can freely change the program.

Should you have any further questions, please best use of the following Q&A table and GIAI Square's SIAI section.

Plz note that GIAI Square has a strict policy to open write permission only for visitors with successful performance on Membership quiz.

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Member for

11 months 4 weeks
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GIAI Admin

Sungsu Han (MBA AI/BigData, Class of 2024)

Sungsu Han (MBA AI/BigData, Class of 2024)

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Member for

11 months 4 weeks
Real name
GIAI Admin

Previous school: BS in Electronic Engineering, KyungHee University

I took it while working at the company and taking SIAI school classes in parallel.
It was a near-death schedule that put me through a hard time, and it taught me a lot.
One of my favorite stories says: Go beyond your limits. I was able to gain that experience while working at a company and attending SIAI.
I learned that I can achieve greater growth when I push myself to my breaking point.
Many SIAI students besides me are having similar experiences.
It has been a great asset in my life to be able to meet friends with majors in various fields with whom I can share suffering and grow together as school colleagues, teachers, and friends.
I am currently enrolled in SIAI MBA AI/BigData and am about to graduate.
While writing my graduation thesis, I learned through SIAI's educational philosophy how to find solutions that only I can create to solve problems.