DC

Master's in ML
On-Campus

Howard University

Accelerated MS in Computer Science – Algorithms and Machine Learning

  • Washington
About This Program

An accelerated graduate program (MCS) providing intensive preparation in the analysis and design of computing systems to solve complex issues in healthcare and transportation.

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What You'll Learn

Students master advanced algorithms, machine learning, and computer architecture while developing expertise in areas such as distributed systems and human-computer interaction.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum offers a fast-track structure with core courses in software engineering, operating systems, and computability, focusing on algorithmic and machine learning specializations.
Typical Course Topics
1. Advanced Algorithms 2. Machine Learning 3. Deep Learning 4. Data Structures and Optimization 5. Probabilistic Graphical Models 6. Algorithmic Machine Learning
Program Specializations:
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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 algorithms, data structures, and linear algebra. GRE scores are often optional for accelerated MS programs.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Position as Machine Learning Engineer in Engineering AI with machine learning expertise

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
Machine Learning Engineer: $130,000
Total compensation (entry to mid-level)
AI Job Growth
21.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. Algorithms Researcher 3. Data Scientist 4. AI Software Developer
Top AI Employers (Industry-Wide):
Top employers include Google, Amazon, Microsoft, Meta, and tech firms specializing in AI and algorithms.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
  • 63,690
Format
On-Campus
Specializations
Machine Learning
Official Resources
Program Website
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