Typical admitted student: A bachelor's degree in accounting, business, or a related field with a minimum GPA of 3.0 is required; relevant coursework in accounting principles and introductory statistics or programming is preferred.

About This Program

This STEM-certified program provides an in-depth framework for integrating data analytics and artificial intelligence into the modern accounting and auditing professions.

Career Outcomes

Thrive as Data Scientist in Finance AI with machine learning expertise

1. AI Accounting Analyst
2. Financial Data Scientist
3. Audit Automation Specialist
4. Forensic Analytics Consultant

What You'll Learn

Apply AI tools to automate financial reporting and auditing processes.
Analyze large datasets using machine learning for predictive accounting insights.
Integrate AI with accounting systems for real-time compliance and risk management.
Leverage analytics for strategic financial decision-making and fraud detection.

Curriculum Highlights

The curriculum focuses on business analytics, data visualization, and supervised machine learning, alongside advanced financial and managerial accounting core courses.

Top Employers

Top employers include Deloitte, PwC, KPMG, EY, and major financial institutions like JPMorgan Chase and Goldman Sachs.

Admissions

A bachelor's degree in accounting, business, or a related field with a minimum GPA of 3.0 is required; relevant coursework in accounting principles and introductory statistics or programming is preferred.

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
TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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