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
  • Design and analyze efficient algorithms for large-scale computational problems.
  • Implement and evaluate machine learning models for predictive analytics.
  • Optimize algorithms using advanced data structures and complexity analysis.
  • Apply probabilistic methods to real-world machine learning challenges.
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The Accelerated MS in Computer Science - Algorithms and Machine Learning is a one-year graduate program designed for students with prior computing background, emphasizing advanced algorithms, machine learning techniques, and their applications in data-intensive computing.
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
AI Engineering / Applied AI
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.

Check Application Deadlines
Career Opportunities in AI

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

Estimated Industry Salary
Machine Learning Engineer: $130,000
Total compensation (entry to mid-level)
AI Job Growth
21%
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
AI Engineering / Applied AI
Official Resources
Program Website
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