Typical admitted student: A bachelor's degree in computer science or related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in data structures, algorithms, and discrete mathematics.

About This Program

This program provides a firm grounding in the theoretical foundations of computer science while offering training in current technologies and applications for research or industry careers.

Career Outcomes

Position as Machine Learning Engineer in Cross-Industry AI with algorithms expertise

1. Software Engineer
2. Machine Learning Engineer
3. Data Scientist
4. Systems Architect

What You'll Learn

Advanced algorithm design and analysis for efficient computational problem-solving.
Development and optimization of operating systems and distributed systems.
Machine learning models and deep learning techniques for data-driven applications.
Database management and network architecture for scalable software systems.

Curriculum Highlights

The 30-credit program offers both coursework-only and thesis/project options, requiring advanced courses in computer science and related fields, alongside a final oral examination milestone.

Top Employers

Top employers include Google, Microsoft, Amazon, Meta, and research institutions like IBM Research.

Admissions

A bachelor's degree in computer science or related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in data structures, algorithms, and discrete mathematics.

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 90+ / IELTS 7.0+)

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