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.

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What You'll Learn
  • Design and implement machine learning models using supervised, unsupervised, and reinforcement learning techniques[1][2]
  • Develop deep learning applications including convolutional and recurrent neural networks for computer vision and sequential data analysis[1][2]
  • Apply natural language processing and computer vision technologies to solve real-world problems[1][2]
  • Understand AI ethics, bias mitigation, and responsible AI governance in production systems[5]
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The Master of Science in Computer Science with an Artificial Intelligence/Machine Learning Specialization is a two-year graduate program that integrates rigorous computer science foundations with applied artificial intelligence, preparing students to design, develop, and deploy intelligent systems for real-world applications.[2][5
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

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%
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
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