MASTER'S — 100% ONLINE

Artificial intelligence and machine learning

A master's program from the Swiss institute SIIL. It lets students deepen their knowledge of information technology and gain expert training in the rapidly developing fields of machine learning (ML) and artificial intelligence (AI). Graduates become competitive specialists able to drive the AI revolution forward while understanding the serious risks and challenges of this global phenomenon.

Language of instruction and examinations English
Duration 1.5 years (3 sem.)
Credit points 92 ECTS
Degree awarded Master of Science
AI & ML PIPELINE Model dashboard
Training Metrics
Accuracy A+
F1-Score A
Loss B+
Data Quality A-
Knowledge areas
Deep Learning NLP Computer Vision LLMs Big Data
About the program

Program goals

Solid foundation

A solid foundation in AI and ML

Give students a solid foundation in the key areas of AI and machine learning, including algorithms, data analysis, computer vision and natural language processing.

Hands-on experience

Systems design and implementation

Give students hands-on experience in designing, developing and deploying intelligent systems in real business applications.

Evaluation and ethics

Critical evaluation and ethical principles

Build the ability to critically evaluate AI algorithms and apply deep ethical principles in developing and using machine learning technologies.

Research potential

Computational and software skills

Develop students' computational and software engineering skills for conducting research and launching innovations in AI.

Research

Individual and team projects

Strengthen the ability to work both fully independently and within complex interdisciplinary and collaborative research projects.

Global perspectives

Doctoral studies or employment

Prepare students for admission to competitive doctoral (PhD) programs worldwide or for immediate entry into the high-tech job market.

Study plan

Curriculum

Foundational AI semester
SEMESTER 132 ECTS

Foundations and mathematical base

  • MAG0025 Advanced Statistics for Data Science6 ECTS · coursework
  • MAG0010 History of Machine Learning and Artificial Intelligence3 ECTS · oral exam
  • MAG0011 Algorithms and Methods6 ECTS · oral exam
  • MAG0012 Machine Learning6 ECTS · coursework
  • MAG0013 Natural Language Processing5 ECTS · coursework
  • MAG0014 Ethics in Machine Learning and Artificial Intelligence3 ECTS · oral exam
  • MAG0024/EDX-B-0029 Professional English (part 1) edX3 ECTS · coursework / English for technical specialists and soft skills
Elective AI semester
SEMESTER 230 ECTS

Specializations and elective modules

  • MAG0015/MAG0016 Emerging and Quantum Computing / Parallel Computing and Cloud Technologies6 ECTS · oral exam
  • MAG0017/MAG0018 Big Data Analysis / Large Language Models (LLM)6 ECTS · coursework
  • MAG0019/MAG0020 Image Processing / Creative AI (stories, music, images and video)6 ECTS · coursework
  • MAG0021/MAG0022 AI in Finance / VR and AI in the Gaming Industry6 ECTS · oral exam
  • MAG0023/MAG0025/EDX-B-0028 Cryptography and Blockchain Technologies / Professional English (part 2) edX6 ECTS · coursework (electives: interview preparation, public speaking, marketing)
Master's thesis
SEMESTER 330 ECTS

Master's thesis

  • Choosing a relevant research topic in AI and ML
  • Data collection, design and testing of the ML model
  • Formatting the thesis text to the institute's standards
  • Academic defense of the master's thesis before the board

1.5 years — 92 ECTS

3 semesters (2 semesters of intensive study + master's thesis). Required courses account for 29 ECTS, electives for 33 ECTS, and the preparation and defense of the master's thesis for 30 ECTS.

Study plan (PDF)
Your competencies

What you'll learn and work with

An interactive map of the program's key competencies aligned with the official learning outcomes.

Advanced mathematics and algorithmic ML modeling

Master the mathematical tools of data science, including descriptive statistics, probability theory and regression analysis. Build, train and optimize classical and modern machine learning algorithms.

Statistics and Regression
ML Algorithms
Model Evaluation
Probability Theory

NLP and Working with Large Language Models (LLM)

Develop practical skills in designing natural-language-processing systems. Learn to build, adapt and evaluate large-scale neural models for analyzing, generating and understanding human and programming language.

Text Processing
Neural Network Approaches
Large Language Models
Code Generation

Big Data Processing and Quantum Paradigms

Master methods for analyzing large-scale distributed databases using cloud platforms and parallel computing environments. Get acquainted with emerging quantum computing and cryptography for secure future architectures.

Big Data Mining
Cloud Computing
Quantum Models
Cryptography and Blockchain

AI Ethics and Research Methodology

A deep understanding of the philosophical and social aspects and history of AI. Critical assessment of risks, algorithm transparency, model bias prevention and research on technology's impact on society.

AI Ethics
Bias Analysis
Research
Academic Writing (EN)
Career outlook

In-demand roles on the market

Modeling

ML Engineer (Machine Learning Engineer)

Designs, develops and deploys complex machine learning algorithms, tuning their accuracy and speed.

Data Analysis

Data Scientist

Analyzes large data sets and applies advanced applied statistics to uncover hidden patterns.

Language Systems

NLP Engineer (Natural Language Processing Engineer)

Focuses on training and adapting large language models (LLMs) and building transformer-based solutions for natural language processing tasks.

Vision Systems

Computer Vision Specialist

Develops algorithms for image processing, video analytics, optical pattern recognition and autonomous driving.

Research

AI Research Scientist

Conducts research on new computing paradigms (including quantum computing and cloud parallel environments).

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Advantages

Why us?

European quality system

SIIL is accredited by the IAAR agency (part of ENQA and EQAR), assuring the institutional quality of Swiss education under Bologna standards.

Your own AI assistant

Your personal 24/7 AI-model-powered tutor. It will help you understand deep learning algorithms, statistical samples and code.

Private student chat

Communicate in a professional environment with classmates and curators, share AI startup ideas and divide roles in team projects.

Focus on AI and machine learning

Specialized courses only: advanced statistics, ML algorithms, natural language processing, big data analysis and LLM models.

Career center

Career seminars and English (9 ECTS of edX blocks). We'll help you write your résumé and prepare for IT interviews.

Flexible learning

100% online format: study the materials and take assessments at a comfortable pace without interrupting your work or personal plans.

Fixed tuition

Your tuition is fixed in the contract, in the contract currency, for the full term, and is guaranteed not to change until you complete your master's degree.

Our own platform

SIIL's LMS platform with an intuitive personal account, interactive video lectures, practice tools and prompt technical support.

Swiss institute

A Swiss institute diploma certifies your knowledge

Graduates are awarded the degree of Master of Science in Artificial Intelligence and Machine Learning. The Swiss International Institute Lausanne (SIIL) diploma comes with the official European Diploma Supplement listing all completed courses, exam grades and ECTS credits.

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SIIL status and documents

SIIL's status can be verify before enrolling

Institutional accreditation, Bologna-system education, ECTS and open documents let you verify the institute and understand the program structure before making a decision.

  • External quality assessment of the institute
  • The program's exact workload in ECTS
  • Open documents for verification
Verify status and documents Verification in the open registry
takes less than a minute
IAAR institutional accreditation certificate - Swiss International Institute Lausanne, No. AA 0298 Open in full
Accreditation valid

Institutional accreditation

Agency
IAAR
Type
Institutional
Certificate no.
AA 0298

Three independent grounds for trust

Each can be verified independently - no need to contact a manager.

SIIL has passed an independent institutional assessment

External experts assessed the institute's educational processes, governance, internal quality assurance and other aspects of its work. The result is institutional accreditation by the IAAR agency (certificate AA 0298).

Verify SIIL in the IAAR registry
Why IAAR status matters

IAAR is a member of ENQA and is registered in EQAR. The status of the accreditation agency itself can be verified in European sources.

Process

How the admission process works

01

Online application

Fill out the form on the website to secure your place in the cohort.

02

Documents

Upload digital copies of your passport and previous higher-education document to your personal account.

03

Approval

A coordinator will check your documents against the requirements and prepare the enrollment contract.

04

Start of studies

Receive your personal platform access and start your lectures and practice.

Application

Build an international career in AI

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