MSc AI/DS (2 year)
MSc AI/DS (2 year)
Scientific training in data science
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MSc in Artificial Intelligence / Data Science (2 year) – MSc AI/DS (2 year) is a step-up program for students whose undergraduate study has not provided sufficient background in AI/DS. In this 2 year program, students are given to study with BSc Data Science students in their final year courses, and qualified students are eligible for the MSc AI/DS (1 year) program.
This step-up is designed to present scientific training in data science. It also works as a preparation curriculum for MSc AI/DS for candidates with less sophisticated education in mathematical statistics from undergraduate programs.
University majors with highly correlated curriculum are Statistics, Mathematics, Physics, Industrial Engineering, and Economics. For other majors, prospective students are recommended to check similarity in academic training with SIAI’s prep class for math & stat basic training.
Lecture Note
MSc in AI/DS (2 Year)
at a glance
HIGH QUALITY ONLINE CLASSES
ONLINE TA SESSIONS
12 COURSES & 1 DISSERTATION
8 WEEKS PER COURSE
2 COURSES PER WEEK
1 YEAR PROGRAM
Learning Outcomes
APPLICATION OF ABSTRACT MATHEMATICAL CONCEPTS TO REAL WORLD PROBLEMS
MATHEMATICAL AND BAYESIAN STATISTICS, DYNAMIC OPTIMIZATION FOR UPPER LEVEL STUDY
How classes work
- Online live/recorded classes from 7pm-10pm on weekdays (Required)
– Mostly Mon-Wed, only cross-program courses on Thurs - Online live TA sessions on weekends (Selective)
– Mostly 1-2 hours in day time on Sat - Final exam 1-week after the end of the course
- Total 12 courses, 2 courses for 1 term
- 1 term for 8 weeks
One 5 ECTS* course is consisted of 8 lectures, 7 TA sessions, and 1 final exam. Total teaching hour is 33-40 hours and together with self-study hour, per course required hour is 125.
Admission
- Entrance exam qualifier with undergraduate diploma
Class module : Online only
Credit : 90 ECTS / (Level / EQF 7)
Required documents
- Bachelor diploma and transcript (mandatory)
- Graduate school diploma and transcript (if applicable)
- Statement of Purpose
- Curriculum Vitae
For non-native English speakers, should meet one of the following criteria by graduation
- High school or University level diploma from an all-English program
- TOEFL 100 or above (with each section at least 21/30)
- B- or above from SIAI’s internal English course
– Tuition fee of the course is TBD
title
- Application fee : CHF 200.- (Non-refundable)
- Administration fee : CHF 1,000.- (Non-refundable)
- Courses : CHF 1,500
– 2 courses per term
– 1 course for 5 ECTS*
Graduation requirements
- Coursework – 60 ECTS*
- Average 60% or above, then proceed to MSc AI/DS final year
*ECTS – European Credit Transfer and Accumulation System
Scholarship
title
Admission examinations are administered by SIAI Extension School
- Application fee : CHF 200.- (Non-refundable)
– Technical track: Basic linear algebra, differential equations, introduction to statistics
– Business track: High school math/stat - Examination schedule
– Available on SIAI Extension School
– Technical track: CHF 50 per exam
– Business track: Free - Change of program
– Tech → Biz: No penalty
– Biz → Tech: Re-evaluation required
For non-native English speakers, should meet one of the following criteria
- High school or University level diploma from an all-English program
- TOEFL 100 or above (with every section at least 20/30)
- Pass grade from SIAI Extension School’s English course
– Tuition fee : CHF 1,000
MSc in AI/DS (2 year)
MSc AI/DS (2 year) can also function as a top-up masters program for students with gaps in academic pursuits. The program provides one-step above the usual undergraduate level scientific training in mathematical statistics, computational statistics, and scientific modeling.
Target students are
- MSc AI/DS (1 year) applicants with less sophisticated math and stat
- Prospective graduate students in gap year
- Wannabe data scientists without deep math and stat background
Admission conditions are
- 60% and above in MSc AI/DS admissions exam
