Indiana Machine Learning Masters Programs

Trine University's online Master of Science in Artificial Intelligence program is tailored for those aiming to excel in the rapidly evolving AI sector. This program stands out by offering a comprehensive curriculum that includes AI algorithms, machine learning, natural language processing, and computer vision, all within a flexible online format. Unique to Trine, the program emphasizes ethical AI development, preparing graduates to navigate the societal implications of AI technologies. Designed for efficiency, students can complete their degree in as little as one year. The program does not explicitly require an entrance exam, making it accessible to a wide range of applicants. With new classes starting every eight weeks, the program is structured to accommodate the schedules of working professionals, ensuring a balance between academic rigor and practical applicability.

• Online format for flexibility
• Multidisciplinary curriculum
• Focus on ethical AI development
• Completion in as little as a year
• Covers AI algorithms and machine learning
• Includes natural language processing
• Emphasizes computer vision
• Combines theory and practical applications
• Designed for rapid AI field evolution
• Graduate level program

Indiana University-Bloomington's M.S. in Computer Science with a Machine Learning concentration is tailored for those seeking to lead in the evolving tech landscape. This program emphasizes a robust curriculum covering AI, data analysis, and computational theory, ensuring graduates are industry-ready. Unique to this program is its blend of academic rigor and practical application, facilitated through faculty-led research and internship opportunities. Notably, graduates enjoy a 100% employment rate with an impressive average starting salary. Admission is competitive, requiring a solid computer science background, and while entrance exams are part of the process, the program's focus is on cultivating a diverse and skilled cohort.

• Concentration in Machine Learning
• 1.5 to 2 years completion
• Campus-based program
• High employment rate
• Average salary $126,067
• Internship opportunities
• Research with faculty
• Financial aid available
• Strong industry connections
• Cutting-edge curriculum

Indiana University-Indianapolis presents a Master of Science in Computational Data Science, specializing in Machine Learning, tailored for aspiring data scientists. This campus-based program emphasizes a rigorous curriculum that merges mathematical foundations with cutting-edge machine learning techniques, equipping students for the evolving demands of the tech sector. Applicants must hold a bachelor's degree in a related field, with no GRE requirement, making it accessible to a broader range of students. Located in Indianapolis, the program offers direct engagement with industry practices through hands-on projects. Recognized for its military-friendly approach, it stands as a prime choice for veterans pursuing advanced education in machine learning.

• Concentration in Machine Learning.
• Campus-based program.
• Blends theory with practice.
• Prepares for tech industry roles.
• Requires related bachelor's degree.

Indiana University-South Bend's Master of Science in Applied Mathematics and Computer Science program stands out for its interdisciplinary approach, blending computer science, data science, and applied mathematics. Tailored for both working professionals and those aiming for academic careers, the program offers a flexible 30-credit curriculum with thesis, project, or coursework completion options. Unique features include evening classes for adult learners, small class sizes for personalized attention, and scholarships specifically for computer science students. Participants gain access to cutting-edge resources like the Big Red II supercomputer. Notably, applicants with a 3.0 GPA or higher are exempt from the GRE requirement, making it accessible to a broader range of students.

• 30 credit hours required
• Evening classes available
• Small graduate classes
• Scholarships for computer science
• Access to Big Red II supercomputer
• No GRE for 3.0 GPA+
• Thesis, project, or coursework options
• Dedicated laboratories
• Faculty with diverse research interests
• Flexible for working professionals

Purdue University Northwest's Master's Degree in Applied Artificial Intelligence is a comprehensive program that blends theoretical knowledge with practical applications in AI and Machine Learning. Designed to meet the increasing industry demand for skilled professionals, the program prepares students for high-demand roles such as AI Engineer and Data Scientist. With a curriculum that emphasizes hands-on experience, students engage in real-world problem-solving using state-of-the-art technology labs. Admission prerequisites include a bachelor's degree with a minimum B average, focusing on candidates ready to tackle advanced study or thesis projects. This program stands out for its commitment to equipping graduates with the skills needed to excel in AI-driven careers, supported by opportunities for internships and employment at leading firms.

• Campus-based program.
• Focus on AI and Machine Learning.
• Hands-on experience emphasized.
• Prepares for AI-driven careers.
• Bachelor's degree required for admission.
• B average or better needed.
• Real-world problem-solving focus.
• State-of-the-art technology labs.
• Opportunities for thesis projects.
• Graduates employed at top firms.