Maryland Machine Learning Masters Programs

Johns Hopkins University's online Master of Science in Artificial Intelligence is tailored for professionals seeking to excel in the AI domain. This program delves into machine learning, natural language processing, and robotics, offering a comprehensive curriculum that balances theory with hands-on application. Led by esteemed researchers, it equips students with the expertise to drive innovation in AI. The program stands out for its flexibility, enabling personalized study paths, and welcomes applications throughout the year. A bachelor's degree is mandatory for admission, and the university notes that many participants benefit from employer tuition support. Notably, no entrance exam is required, making it accessible to a broader audience.

• Online program format
• Covers AI, machine learning
• Flexible course options
• Year-round applications
• Employer tuition contributions
• Bachelor's degree required
• Practical and theoretical focus
• Top researchers as instructors
• Innovation in AI technologies
• Tailored study options

The University of Maryland-College Park offers a Master of Science in Applied Machine Learning, a 30-credit, non-thesis program ideal for those aiming to excel in data science and engineering. Designed with working professionals in mind, it features evening classes on campus, eliminating the need for the GRE. The curriculum dives deep into machine learning, deep learning, and big data analytics, alongside essential courses in probability, statistics, and optimization. Admission prerequisites include a bachelor's degree, a minimum 3.0 GPA, and programming proficiency. This program stands out for its practical approach, preparing graduates for immediate impact in various industries without requiring a thesis.

• 30-credit program.
• Non-thesis graduate program.
• Evening classes on campus.
• Focus on practical machine learning skills.
• No GRE required for admission.
• Proficiency in programming needed.
• Courses in deep learning included.
• Big data analytics covered.
• Prepares for data science careers.
• Tailored for working professionals.

Loyola University Maryland offers an innovative online Master of Science in Data Science, designed for professionals aiming to excel in the rapidly evolving data science landscape. This program stands out with its dual concentration options in Technical and Business Analytics, catering to diverse career paths. It uniquely integrates computer science, statistics, and business principles, preparing students for high-demand roles such as Data Scientists and Business Analysts. The 100% online format, coupled with small class sizes and multiple entry points, ensures flexibility for working professionals. A distinctive capstone project provides hands-on experience, significantly boosting graduates' readiness for the job market. Notably, the program does not require GRE or GMAT scores for admission, making it accessible to a broader audience. Additional perks include SAS certification opportunities and access to a robust career center and alumni network, enhancing career prospects in a field with strong growth potential.

• 31-34 Credits
• 100% Online
• Flexible Specializations
• Small Class Sizes
• Multiple Entry Points
• Capstone Project
• SAS Certification
• Real-world Experience
• Career Center Access
• Alumni Network

Bowie State University's Master of Science in Computer Science program is tailored for aspiring tech professionals, offering specialized tracks in Artificial Intelligence/Machine Learning, Cybersecurity, and Data Science. This 36-credit program blends theoretical knowledge with practical applications, preparing students for leadership roles in technology sectors. Unique features include the option for applied research or a thesis, enhancing hands-on experience. Prerequisites include a bachelor's degree with a minimum 2.5 GPA and foundational coursework in mathematics and computer science. Situated near Washington DC, Baltimore, and Annapolis, the program provides strategic access to tech hubs and career opportunities, underscored by its designation as a National Center of Academic Excellence in Cyber Defense.

• 36 course credits required.
• Concentrations in AI/ML, Cybersecurity, Data Science.
• Options for applied research or thesis.
• Prerequisite: bachelor's degree, 2.5 GPA.
• Real-world experience with top employers.
• Access to doctoral degree options.
• Located near Washington DC, Baltimore, Annapolis.
• Hands-on learning environment.
• National Center of Academic Excellence in Cyber Defense.
• Opportunities for paid research positions.