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Admission Snapshot
Typical admitted student: A bachelor's degree in a quantitative field such as business, computer science, statistics, or engineering is required, along with a minimum GPA of 3.0 and relevant quantitative coursework. Work experience in analytics or business is often preferred but not always mandatory.
About This Program
This fully online 30-credit program prepares leaders for a data-driven world by integrating advanced AI technology and analytics tools with real-world business application.
Career Outcomes
Advance as Data Scientist in Business AI with python expertise
- 1. Business Intelligence Analyst
- 2. Data Scientist
- 3. AI Strategy Consultant
- 4. Analytics Manager
What You'll Learn
- Applying machine learning models to business datasets for predictive insights
- Developing AI strategies to optimize operations and customer experiences
- Analyzing big data for strategic business decision-making
- Evaluating ethical implications of AI and analytics in organizational contexts
Curriculum Highlights
The coursework covers data mining, predictive and prescriptive modeling, database management, business intelligence, and big data management, culminating in an industry-partnered capstone project.
Top Employers
Top employers include consulting firms like McKinsey and Deloitte, tech companies like Google and Amazon, financial institutions like JPMorgan Chase, and Fortune 500 corporations.
Admissions
A bachelor's degree in a quantitative field such as business, computer science, statistics, or engineering is required, along with a minimum GPA of 3.0 and relevant quantitative coursework. Work experience in analytics or business is often preferred but not always mandatory.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2–3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Optional or Not Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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