Typical admitted student: A bachelor's degree in a related field such as computer science, mathematics, or engineering with a minimum GPA of 2.5-3.0 is required; relevant work experience or prerequisite coursework in programming and statistics may be preferred.

About This Program

This STEM-focused program teaches students to implement machine learning and AI to solve practical organizational problems and maximize business success.

Career Outcomes

Lead as Data Scientist in Cross-Industry AI with machine learning expertise

1. Data Scientist
2. AI/ML Engineer
3. Big Data Analyst
4. AI Applications Developer

What You'll Learn

Apply machine learning algorithms to real-world datasets for predictive modeling.
Analyze and process big data using advanced analytics and warehousing techniques.
Develop AI applications integrating ethical considerations and practical deployment.
Execute data science projects from design to capstone implementation.

Curriculum Highlights

Topics include big data analytics, design thinking, blockchain technology, ethical issues in AI, and a comprehensive business project capstone.

Top Employers

Top employers include tech giants like Google, Amazon, Microsoft, and consulting firms such as Deloitte and IBM.

Admissions

A bachelor's degree in a related field such as computer science, mathematics, or engineering with a minimum GPA of 2.5-3.0 is required; relevant work experience or prerequisite coursework in programming and statistics may be 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: Not Required
TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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