Hybrid track
Structured · 18 months
- A structured 18-month plan beginning in October
- Biweekly in-person sessions on campus
- Exclusive executive education modules
- Networking events, workshops, and personalized academic support
Graduate
MBA in Data Science
Business leadership meets data science.
Advanced education in data analysis, machine learning, and artificial intelligence — from foundations to leadership.
33 Credit Hours
100% Online Option
ACBSP Accredited
AI & Data Science
Program Overview
Why this program?
AUM's MBA in Data Science combines business administration with advanced training in data analysis, machine learning, and artificial intelligence. From theoretical foundations to practical capstone projects, the program prepares graduates for leadership roles at the intersection of business and data.
Admission Requirements
- Bachelor's degree (GPA 2.7 or higher) from an accredited university
- English proficiency (TOEFL 60+ or IELTS 6.0+)
- Foundation in mathematics, statistics, and programming
- Resume
Tuition & Fees
Online
₮15,000,000
33 credit hours — 100% online
Hybrid
₮18,000,000
33 + 4 credits (Professional Development) — hybrid
The hybrid program includes an additional 4-credit Professional Development module.
Curriculum
33 credits total
18 credits
Core Courses
- Foundations of Data Science
- Statistical Analysis
- Machine Learning Algorithms
- Database Management
- Data Visualization
- Python Programming
9 credits
Advanced Courses
- Deep Learning
- Big Data
- Artificial Intelligence
6 credits
Capstone Project
- Capstone Project
Program Details
An MBA designed around your career.
AUM’s MBA is built for ambitious professionals who want stronger leadership, strategic thinking, and business expertise for a competitive global market. Courses are delivered entirely in English, with Mongolian translations available when needed.
Online track
Flexible · 1–2 years
- A self-paced learning model designed around your schedule
- New lectures, quizzes, and assignments every week
- Complete the program in one to two years
- Optional online or on-campus meetings with faculty and support staff
Specializations
Choose the path that fits your goals.
Each path combines a shared business core with 9–18 credits of focused study in your chosen field.
General Business
Build broad leadership, strategy, finance, marketing, and management expertise.
Data Science
Combine business leadership with analytics, data-driven decisions, and advanced technical study.
Curriculum highlights
- Foundation courses for students whose bachelor’s degree is outside business
- Core business study in finance, marketing, business intelligence, and more
- Advanced courses focused on your chosen specialization
- A capstone project that applies learning to a real-world challenge
- Professional development and executive education modules for the hybrid track
Who should apply?
- Early- to mid-career professionals ready to advance or change direction
- Working professionals who need a flexible way to study
- Graduates from both business and non-business backgrounds
- Public-sector professionals, corporate analysts, and managers
- Business owners building the skills to lead and grow
Entry requirements
Prepare the materials below, then complete the program application form.
- A bachelor’s degree in business or another field
- Official academic transcripts with a minimum GPA of 2.7
- At least one year of relevant work experience
- An up-to-date curriculum vitae (CV)
- IELTS 6.0+, TOEFL 60+, or successful completion of AUM’s English placement exam
- A completed program application form
Questions about admission?
The future of data science starts here.
Register your interest and our admissions team will be in touch.
Register Your Interest