Georgia Machine Learning Masters Programs

Mercer University's M.S. in Applied Data Intelligence and Machine Learning stands out for its online flexibility and focus on Artificial Intelligence and Data Science. This 36-credit program is tailored for professionals seeking to advance in AI and data fields, offering 8-week courses that start in January and August. Unique to Mercer is the option for a self-designed study concentration, allowing students to tailor their learning. The program emphasizes practical, real-world data projects, preparing graduates for lucrative careers in machine learning and data analysis. Notably, Mercer does not require GRE scores for admission, making it accessible to a broader range of applicants.

• Online format for flexibility.
• 36 credit hours required.
• Concentrations in AI, Data Science.
• 8-week course terms.
• No GRE admission requirement.
• Hands-on real-world data projects.
• Start terms in January, August.
• Prepares for high-demand careers.
• Flexible self-designed study option.
• Comprehensive core and elective courses.

Georgia Southern University offers a Master of Science in Computer Science with a concentration in Machine Learning, tailored for aspiring tech professionals. This 30-credit-hour program blends theory with practical applications, available online, hybrid, or in-person to suit various schedules. Taught by globally recognized faculty, it promises a robust education at an in-state tuition rate of $277 per credit hour. Ideal for career advancement or transition, the program welcomes students with a bachelor's degree, offering provisional admission for those from non-computing fields. No entrance exam is mentioned, making it accessible for many. Highlights include flexible learning options, research opportunities, and a pathway from bachelor's to master's degrees.

• Specialization in Machine Learning.
• 30 credit hours.
• Online, hybrid, or in-person.
• In-state tuition $277/credit.
• Internationally recognized faculty.
• Provisional admittance available.
• Flexible delivery options.
• Accelerated Bachelor’s to Master’s.
• Research experience included.
• High median salary potential.

Emory University's Master of Science in Computer Science program, with a focus on Machine Learning, Artificial Intelligence, and Data Mining, stands out for its comprehensive curriculum that blends theoretical knowledge with practical applications. Situated in Atlanta, GA, this campus-based program is tailored for students with a strong quantitative background and basic programming skills, aiming to delve deep into the realms of AI and data science. The program offers flexibility with thesis, project, or coursework tracks, alongside a mandatory practicum to ensure hands-on experience. Emory's approach fosters a diverse learning environment, preparing graduates for successful careers in technology or further academic pursuits. Notably, the program does not explicitly require an entrance exam, focusing instead on quantitative aptitude and programming proficiency for admissions.

• Concentrations in AI, ML, Data Mining.
• Campus-based in Atlanta, GA.
• Requires basic programming knowledge.
• Options for thesis, project, coursework.
• Prepares for industry or PhD.
• Includes practicum requirement.
• Diverse student backgrounds welcome.
• Focus on practical problem-solving.
• Advanced computing concepts covered.
• Emphasis on data-oriented areas.