Data Science

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Since the 2018–2019 academic year, AUM has been offering a fully English-taught Business Data Analyst program, developed in accordance with the Microsoft Professional Program in Data Science (USA) and the Harvard Data Science curriculum. Students in Mongolia study the foundational courses of data analytics, while professional subjects are taught by Professor Robert Ritz, who also supervises hands-on practical training.

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What kind of profession is a Data Analyst (Data Analyst, Data Scientist)?


-> In the 21st century, the role of the Data Analyst has become one of the most in-demand professions across all industries. Not only globally, but also in Mongolia, there is a growing need for data analysts who possess strong programming skills, proficiency in English, and a solid understanding of business operations.


-> All types of businesses collect vast amounts of numerical and informational data. Data analysts, or data scientists, play a crucial role in examining, organizing, and extracting valuable insights from this data to support informed decision-making. Depending on the type of data and industry they work with, data analysts often specialize in specific domains.


-> As they work with large datasets, these professionals are responsible for analyzing, cleaning, and structuring the data before drawing meaningful conclusions. Their insights enable businesses to make data-driven decisions, enhance operational efficiency, and ultimately increase profitability.


-> Highly skilled data analysts are not only proficient in programming but also demonstrate excellent English language skills, a deep understanding of business strategy, and strong statistical knowledge.
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Why should you study Data Analytics at our university?

-> AUM is the only university in Mongolia that offers a Data Analyst program entirely in English. By choosing this program, you will study all courses in English with American instructors and gain hands-on experience under the guidance of Professor Robert Ritz, a professional data analyst.


-> AUM’s Data Analyst program equips you with a strong foundation by integrating three essential skill areas: mathematics (including statistics), business, and computer programming. The program is designed to prepare you as a globally competitive professional, with all instruction delivered 100% in English.

Advantages:


🎯 At AUM, you will not only learn data programming but also gain comprehensive knowledge in business, mathematics, statistics, professional terminology, and best practices in programming languages.
🎯 Throughout your studies, you will have the opportunity to work on projects with American instructors and professors, and graduate with an additional Microsoft certification.
🎯 You can work remotely on freelance projects while studying, with the potential to earn an average salary of $60,000 (search “Average salary of data analyst” on Google for reference).
🎯 After studying in Mongolia for two years, you have the option to transfer to LeTourneau University in the United States with a 100% scholarship for your first year, and graduate with dual degrees from both Mongolia and the U.S.

What courses will you take?


📚 Core and advanced courses in business fundamentals
📚 Statistics, mathematics, quantitative analysis, and management information systems
📚 Foundational and advanced subjects in data science
📚 Courses in Python programming, machine learning, and data visualization

FREQUENTLY ASKED QUESTIONS

🟡 I want to study IT. Does that mean it’s the same as Data Analytics?
A Data Analyst not only learns data programming but also develops deep knowledge of business and works with statistical data. Therefore, it is a multidisciplinary profession that combines both IT and business.

🟡 My father works in statistics and deals with a lot of data. Is he considered a data analyst?
Those who work with statistical data possess one of the core skills of a data analyst. However, a modern data analyst is someone who uses programming to process and interpret statistical data, and deliver business-relevant insights. It is a profession that brings together three major domains: statistics, programming, and business.

🟡 Why is a strong understanding of business necessary?
Data analysts are constantly involved in projects that require business decision-making. Without business knowledge, it would be difficult to understand the project context or contribute effectively to decisions. That’s why data analysts—who combine expertise in three major fields—are among the highest-paid professionals today.

🟡 Where can I work after graduation?
You can work in any industry, anywhere in the world. Most data analysts globally are employed in sectors such as technology, finance, healthcare, marketing, and consulting.

🟡 What is the difference between a Data Analyst and a Data Scientist?
A Data Scientist goes beyond analysis of current data—they use historical data to make predictions about the future. Starting your career as a Data Analyst provides a strong foundation to later advance into the role of a Data Scientist.

Technologies You Will Learn

Python

Tableau

Scikit Learn

MySQL

Jupyter

Tensorflow

What is Data science?

Data science is at the intersection of math, computer science, and practical business knowledge. Data scientists use the massive amount of data in today’s businesses to find value and make an impact.

​Data scientists are in high demand. Average salaries for data scientists in the US are over $100,000. Get the skills you need to master this career by studying data science at AUM. 

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Courses in the Data Science Specialization

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 During Senior Year:

– Natural Language Processing
– Computer Vision
– Recommender Systems
– Data Science for Social Good
– Financial Prediction and Modeling

AUM’s Data Science curriculum is supported by DataCamp, the most intuitive learning platform for data science. Learn R, Python and SQL the way you learn best through a combination of short expert videos and hands-on-the-keyboard exercises. Take over 100+ courses by expert instructors on topics such as importing data, data visualization or machine learning and learn faster through immediate and personalized feedback on every exercise