HomeCourseMaster of Science (M.Sc) in Data Science, Machine Learning & AI

Master of Science (M.Sc) in Data Science, Machine Learning & AI

Unlock a future-ready career with a 100% online MSc in Data Science, ML & AI. Master the industry's most essential tools—from Cloud Computing to Neural Networks—and secure your role as a strategic leader in a global economy that prioritizes autonomous decision-making and advanced analytics.
Current Status
Not Enrolled
Price
€3,200.00
Study Mode Online (e-Learning)
Duration 1.5 Years
Official Course Fee € 5,500 / Full course
Application Processing Fee €199*
Expected Scholarship 40-50%
After scholarship you may pay €3300 for the full course

Data science, machine learning, and artificial intelligence are the defining technical disciplines of our time — and this M.Sc develops the advanced expertise to lead at their frontier. This 100% online M.Sc (18 months, 120 ECTS) from the European School of Data Science & Technology (ESDST), Switzerland covers Python programming, predictive analytics, AI and machine learning, deep learning mathematics, big data engineering (Spark, Apache Hive/Pig/Zookeeper, NoSQL, MapReduce), natural language processing, and econometrics. Graduates pursue careers as senior data scientists, ML engineers, AI researchers, analytics leads, and technology consultants at firms such as Amazon, Google, McKinsey, TCS, and BCG.

The programme is structured across four semesters. Semester 1 builds core analytical and programming foundations: business statistics, business analytics, Python for analytics (Parts 1 & 2), and predictive analytics methods. Semester 2 advances into AI and ML: mathematics for machine learning, AI and machine learning, econometrics, and data visualisation with Tableau. Semester 3 moves into big data engineering: Big Data and NoSQL, Apache Pig/Hive/Zookeeper, Spark programming, and data warehousing. Semester 4 completes the programme with natural language processing, a business application seminar, and a Capstone Consulting Project integrating technical and commercial skills. As Europe’s only dedicated Business School for Data Science and Technology, ESDST provides a level of technical rigour and applied focus that sets this M.Sc apart from conventional management school analytics programmes.

Experience a modern, flexible approach to higher education designed for working professionals that combines academic rigor with the convenience of 100% online delivery.

Study at Your Own Pace
  • Recorded lectures
  • Interactive digital course content
  • Comprehensive reading materials
  • 24/7 access to Learning Portal
Structured Assessment
  • Multiple-Choice Tests
  • Assignment submissions
  • No stressful "timed" final exams
  • Constructive feedback from faculty
Academic Support: While you study at your own pace, you are never alone. The institution's faculty and academic coordinators are available to assist you throughout your learning journey.

Eligibility

Academic Background: A recognized bachelor’s degree in a related discipline (Business, Commerce, Economics, or Finance).
English Proficiency: Applicants must be proficient in English language (reading, writing, and speaking).
See the Language Requirements section below for more details.
Not sure if your degree qualifies? Apply for an initial assessment and our admissions team will confirm your eligibility within 48 hours.

Document Requirements

Please ensure you have clear digital copies of the following documents ready for your application:

Passport Photo: Head and shoulders only.
Identity Proof: Valid passport or government-issued ID card.
Degree: Copy of bachelors degree or equivalent qualification.
Academic Transcripts: All relevant mark sheets or supporting transcripts.
CV / Resume: Optional, but recommended for professional programs.
Important Note
Documents must be in English or accompanied by a certified translation.

Language Requirements

This program is taught entirely in English. Applicants should be comfortable using English for academic communication, including reading, writing, and speaking.
ApplyMate Advantage
When applying through ApplyMate, no formal proof of English language proficiency (such as IELTS or TOEFL) is required.

* Individual institutions may conduct a brief internal interview if required.

Application Processing Fee
€ 199 ✓ 100% RISK FREE
Pay-Later Policy:
Only payable after your initial assessment and eligibility is confirmed.

Full Refund Guarantee:
100% refundable if not accepted OR if the scholarship is less than 25%.
This policy ensures your investment is protected. We only succeed when you receive a high-value offer.

About European School of Data Science & Technology

ESDST Logo
Swiss eduQua Certified • Tech Leader

The European School of Data Science & Technology (ESDST) is a leading Swiss institution specializing in high-demand fields like Data Science, Machine Learning, and AI. With students from over 50 countries, ESDST is a global brand name for professionals seeking to master the future of technology.

24/7 Tech Access: Study anytime via our user-friendly Learning Management System.
100% Online: Perfect flexibility for working tech professionals.
Graduation: Exclusive option to attend in-person ceremonies.
Transparent Fees: Advance your career with no miscellaneous or hidden costs.

Bridging the gap between raw data and strategic business intelligence.

Success Guarantee

Your success is our priority.

If we do not secure an offer of admission, or if the scholarship granted is less than 25%, ApplyMate will provide a 100% refund of your processing fee.

This ensures your investment in your future is completely protected.

Course Snapshot:

  • Institution European School of Data Science & Technology
  • Study Mode Online (e-Learning)
  • Location Online
  • Level Masters
  • Duration 1.5 Years
  • Credits 120
  • Language English

What Our Students Say

4.9/5 average rating from recent learners

The MBA Operations Analytics was the most suitable program for me to obtain the essential knowledge I was looking for, and the application process was very easy. Excellent experience.

Natalie Froehlich
Natalie Froehlich
Quality Manager - Amazon

My overall experience was phenomenal. Great support throughout and I could not have asked for more. The program has been pretty great too.

Maria Konawo Nina Soma
Maria Konawo Nina Soma
Executive, SEMOS SA

Please enter keywords