Emory University

How this program compares

At an estimated $8.0K in total tuition, the Certificate in AI-Powered Augmented Data Science sits roughly 30% below the $11.4K average for AI certificate programs in our database — placing it in the 43rd percentile on cost among the 236 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: Open to professionals with a bachelor's degree or equivalent experience in a related field; no specific prerequisites beyond basic familiarity with data concepts. Work experience in business or technology is preferred for executive-level engagement.

About This Program

This program trains students to build and implement AI-infused data science models through an applied, hands-on approach. It makes advanced analytics accessible for data-driven decision-making in corporate environments. Coursework concentrates on Machine Learning and Natural Language Processing (NLP). Most students complete it in about 0.1 years.

Estimated total tuition is $8.0K, below the $11.4K average for AI certificate programs in our database and in the 43rd percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Develop natural language processing skills to advance as Data Scientist in Cross-Industry AI Graduates frequently move into roles such as Data Scientist, with reported salaries around $120,000.

Career Outcomes

Develop natural language processing skills to advance as Data Scientist in Cross-Industry AI

• 1. AI Data Analyst
• 2. Machine Learning Specialist
• 3. Data Science Strategist
• 4. AI Business Analytics Lead

What You'll Learn

• Apply AI and machine learning principles to enhance data analysis workflows.
• Identify business opportunities for AI-powered data augmentation.
• Develop strategies for integrating generative AI into organizational decision-making.
• Lead AI projects with a focus on data analytics and innovation.

Curriculum Highlights

The curriculum focuses on AI fundamentals and their extension into data science. Typical themes include automated insight discovery, image analytics, and the implementation of AI-infused data analytics solutions.

Top Employers

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

Admissions

Open to professionals with a bachelor's degree or equivalent experience in a related field; no specific prerequisites beyond basic familiarity with data concepts. Work experience in business or technology is preferred for executive-level engagement.

Application Materials

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

Academic Requirements

• Degree Required: Bachelor's degree or equivalent professional experience
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)