Typical admitted student: Bachelor's degree preferred with background in data science, computer science, or related quantitative field; professional experience in analytics or technology often recommended for executive certificates.

About This Program

This advanced certificate focuses on bridging the gap between data analytics and artificial intelligence. It trains practitioners to use AI-based models to discover insights and act on them automatically.

Career Outcomes

Strengthen data science skills to advance as Data Scientist in Cross-Industry AI

1. AI Data Scientist
2. Machine Learning Engineer
3. Data Analytics Specialist
4. AI Business Analyst

What You'll Learn

Apply AI and machine learning principles to enhance data science workflows.
Assess data readiness and identify high-value AI use cases in analytics.
Design augmented data processing pipelines using AI technologies.
Integrate AI strategies into business decision-making and innovation.

Curriculum Highlights

The curriculum extends principles of data analytics into the field of AI. Coursework includes building AI-infused models, text analysis using NLP, and image analytics for business decision-making.

Top Employers

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

Admissions

Bachelor's degree preferred with background in data science, computer science, or related quantitative field; professional experience in analytics or technology often recommended for executive certificates.

Application Materials

Statement of Purpose: Required
Letters of Recommendation: 2
Resume: Required
Transcripts: Official transcripts required

Academic Requirements

Degree Required: Bachelor's preferred
GRE/GMAT: Not Required
TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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