MD

Master's in AI
On-Campus, Online

Bowie State University

MS in Computer Science – Artificial Intelligence/Machine Learning Specialization

  • Bowie
About This Program

This graduate program expands fundamental computer science concepts with an optional specialization focused on the principles and techniques used to build intelligent systems.

Student Reviews
Write a Review
What You'll Learn

Students will gain expertise in machine learning, robotics, natural language processing, and probabilistic modeling, along with the skills to apply AI to complex real-world challenges.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The 30-credit requirement includes five core computer science courses and specialized electives in AI, followed by a choice between an applied research project or a graduate thesis.
Typical Course Topics
1. Machine Learning[1][2] 2. Deep Learning and Neural Networks[1][2] 3. Natural Language Processing[1][2] 4. Computer Vision[1][2] 5. Data Mining and Analysis[1][2] 6. AI Ethics and Bias[1]
Program Specializations:
Natural Language Processing (NLP)
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must hold a bachelor's degree in computer science or a related field with a minimum GPA of 3.0.[2] A strong background in mathematics, programming, and computer science fundamentals is typically required; the GRE is often required or recommended for admission consideration.
Academic Requirements (Typical)

• Degree Required: Master of Science (MS)
• GRE: Required or Strongly Recommended
• 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

Excel as Machine Learning Engineer in Cross-Industry 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: $120,000 AI Research Scientist: $125,000 Data Scientist: $110,000 AI Software Engineer: $115,000
Total compensation (entry to mid-level)
AI Job Growth
36.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Research Scientist 3. Data Scientist 4. AI Solutions Architect
Top AI Employers (Industry-Wide):
Top employers in AI and machine learning include Google, Microsoft, Amazon, Meta, IBM, and specialized AI firms like OpenAI and DeepMind.[1][2][5
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
  • 16,452
Format
On-Campus, Online
Specializations
Natural Language Processing (NLP)
Machine Learning
Official Resources
Program Website
Request Information