4 Years
128 Credits
In-Class
ACBSP Accredited
Overview
Since 2018, AUM has been the only university in Mongolia training Data Analysts 100% in English — following the US Microsoft Professional Program and Harvard Data Science curriculum. You will master the three pillars of modern data science: Mathematics & Statistics, Business, and Programming. Professor Robert Ritz leads professional courses and hands-on project work, giving graduates the technical depth and business fluency that employers worldwide demand.
Skills You'll Build
Python & RMachine LearningStatistical ModelingData VisualizationSQL & DatabasesBusiness Analytics
Why Study Here?
What sets us apart
01
Mongolia's only English-language Data Science program
AUM is the only university in Mongolia that trains Data Analysts entirely in English, with American professors. Every course is taught to global standards — not translated, not adapted.
02
Three disciplines, one degree
The program uniquely combines Mathematics & Statistics, Business Knowledge, and Computer Programming into a single curriculum. This combination is why data scientists command some of the highest salaries in the market.
03
Microsoft certifications + real project experience
Graduate with additional Microsoft certifications earned during your studies. Work on real-world projects with Professor Robert Ritz, and build a portfolio that speaks louder than a diploma. Data analysts average $60,000/year globally.
04
Transfer to a US university with 100% scholarship
After 2 years in Ulaanbaatar, eligible students can transfer to LeTourneau University in the USA with a 100% first-year scholarship — and graduate holding both an American and a Mongolian diploma.
Curriculum
What You'll Study
Specialization Core
Quantitative Methods
Database Fundamentals
Introduction to Python
Business Analytics
Data Visualization
Management Information Systems
Upper Level
Intermediate Python
Machine Learning
Business Intelligence
Research Methods
Big Data
Deep Learning
Elective Projects — Senior Year
Natural Language Processing
Computer Vision
Recommender Systems
Data Science for Social Good
Financial Prediction & Modeling
Career Paths
Where Graduates Go
Data Scientist
ML Engineer
Data Analyst
AI Product Manager
Business Intelligence Lead
Research Scientist
FAQ
Questions we hear a lot
I want to study IT. Is Data Analytics the same thing?
Data Analytics is not just about programming. It is a profession that combines deep business knowledge, statistical analysis, and programming — so it sits at the intersection of IT and Business, going further than either alone.
My father works with statistics. Is that the same as Data Analytics?
Statistical work is one skill inside data analytics, but modern data analysts combine three major disciplines: preparing and analyzing data, delivering it in a business-useful format, and doing it all with programming tools. That combination is what makes it uniquely powerful.
Why is business knowledge necessary for a data scientist?
Data analysts always work on projects that drive business decisions. Without solid business knowledge, you cannot understand what the data should answer or how to make your findings actionable. This is also why data scientists who combine all three disciplines earn significantly higher salaries.
Where will I work after graduation?
Data analysts are in demand across every sector. Globally, most work in technology, finance, healthcare, marketing, and consulting. In Mongolia, major banks, mining companies, telecoms, and startups are actively hiring. You can also work remotely as a freelancer for international clients.
What's the difference between a data analyst and a data scientist?
A data analyst interprets existing data to explain what happened and why. A data scientist goes further — using historical data to build models that predict what will happen next. Many professionals start as data analysts and grow into data science roles as they gain experience.
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