Typical admitted student: A bachelor's degree in computer science, data science, engineering, or a related field with a minimum GPA of 3.0 is required; relevant work experience or programming proficiency is preferred.

About This Program

This flexible online program is designed for working adults to gain advanced skills in AI and data mining without interrupting their careers.

Career Outcomes

Advance as Machine Learning Engineer in Cross-Industry AI with machine learning expertise

1. AI Data Scientist
2. Machine Learning Engineer
3. Data Analytics Specialist
4. AI Solutions Architect

What You'll Learn

Design and implement machine learning models for data prediction and classification.
Apply AI techniques to analyze large datasets and extract actionable insights.
Develop deep learning systems for complex pattern recognition in data.
Use natural language processing for text analytics and sentiment analysis.
Evaluate ethical implications of AI in data analytics applications.

Curriculum Highlights

The curriculum covers data sourcing and validation, text mining, statistical modeling, and the practical considerations of deploying AI in enterprise environments.

Top Employers

Top employers include tech giants like Google, Amazon, Microsoft, and data-focused firms like IBM and Palantir.

Admissions

A bachelor's degree in computer science, data science, engineering, or a related field with a minimum GPA of 3.0 is required; relevant work experience or programming proficiency 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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