Typical admitted student: A bachelor's degree in electrical engineering, computer engineering, computer science, or related field with a minimum GPA of 3.0 is required, along with coursework in programming, linear algebra, and probability/statistics.

About This Program

This program integrates computer science and engineering to prepare students for careers in the rapidly evolving fields of machine learning and big data analytics.

Career Outcomes

Excel as Data Scientist in Engineering AI with machine learning expertise

1. Machine Learning Engineer
2. Data Science Engineer
3. AI Systems Engineer
4. Research Scientist in ML

What You'll Learn

Design and implement supervised/unsupervised machine learning models for data analysis.
Optimize systems for large-scale ML training and LLM inference.
Apply data mining techniques to extract insights from complex datasets.
Build scalable engineering solutions for AI agents and data science pipelines.

Curriculum Highlights

The curriculum includes core courses in probability and stochastic processes, plus electives in deep learning, GPU programming, and sensing for robotics.

Top Employers

Top employers include tech companies like Google, Meta, NVIDIA, and research institutions such as national labs and AI startups.

Admissions

A bachelor's degree in electrical engineering, computer engineering, computer science, or related field with a minimum GPA of 3.0 is required, along with coursework in programming, linear algebra, and probability/statistics.

Application Materials

Statement of Purpose: Required
Letters of Recommendation: 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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