Master Of Science In Artificial Intelligence Align

Bonisiwe Shabane

-Dec 3, 2025, 7:09 PM

master of science in artificial intelligence align

Break into artificial intelligence from any background with the Align master's program. Join peers from 150-plus disciplines, hold an optional paid co-op or internship, and learn with expert faculty. Northeastern’s Align Master of Science in Artificial Intelligence lets you launch your AI career from any background. You’ll begin with a two-semester introduction that provides the foundational knowledge and tools you’ll need to succeed as you earn your degree. You’ll then move into your master’s curriculum, engaging in coursework that covers topics including machine learning, vision, intelligent interaction, robotics/agent systems, and knowledge management and reasoning. Our program allows you to approach AI responsibly with a human-centric focus.

You can study full time or part time and boost your resumé with an optional paid four- to eight-month co-op or internship—graduating in as little as 2.5 years with the expertise to lead and... Northeastern’s Align Master of Science in Artificial Intelligence lets you launch your AI career from any background. You’ll begin with a two-semester introduction that provides the foundational knowledge and tools you’ll need to succeed as you earn your degree. You’ll then move into your master’s curriculum, engaging in coursework that covers topics including machine learning, vision, intelligent interaction, robotics/agent systems, and knowledge management and reasoning. Our program allows you to approach AI responsibly with a human-centric focus. You can study full time or part time and boost your resumé with an optional paid four- to eight-month co-op or internship—graduating in as little as 2.5 years with the expertise to lead and...

Design solutions for health, finance, and beyond. Build models that predict hospital admissions or detect fraud. In advanced ML and natural language processing, you’ll learn to handle complex data and deploy ethical, resilient AI systems. Experience the opportunities and career results provided by Northeastern’s top-ranked co-op and internship program. Apply your gained knowledge in an optional full-time paid experience lasting four to eight-months—either remotely or on-site. Khoury College partners with more than 800 employers to connect learning to industry.

In an era where AI reshapes industries from healthcare to finance, marketing, and education USF’s Master of Science in Artificial Intelligence stands at the forefront. Designed specifically for students without an undergraduate degree in computer science or computer engineering, the program equips graduates with the technical skills necessary to transition into AI-focused roles across various industries. The program provides comprehensive training in foundational computer science and artificial intelligence concepts. Graduates master core AI technologies and the lessons are applied across real-world domains such as healthcare, education, finance, and marketing. The Master of Science in Artificial Intelligence is available in both in-person and online formats. The GRE is not required.

This 31-credit hour program can be completed in two years. It begins with three two-credit essentials courses and a Mathematics for AI course. Students learn alongside researchers pioneering AI in vision, reasoning, bioinformatics, affective computing, and more. Together, they had a substantial $47 million in related research expenditures over the past four years. Labs are clustered in the following groups: Research areas specific to this program include machine learning, neural networks, deep learning, natural language processing, computer vision, robotics and autonomous systems, knowledge representation and reasoning, ethics and policy in AI, AI tools and...

Join us in making a shared vision of computer science for everyone a powerful reality. “Northeastern has a really important role to play in making sure that the decisions technologists are making for other people, and the influence that they have on everyday lives, are done knowingly and ethically. We think of it as a math problem but software actually changes people’s well-being.” The MS in Artificial Intelligence prepares future leaders in AI with the essential skills to design and implement AI systems, offering concentrations in machine learning, robotics, computer vision, energy systems, and process engineering. The MS in Artificial Intelligence is a dynamic, interdisciplinary program that prepares students to lead innovation in the rapidly evolving AI landscape. The MS in Artificial Intelligence is a dynamic, interdisciplinary program that prepares students to lead innovation in the rapidly evolving AI landscape.

All students in the MS in AI complete foundational courses in mathematics, programming, artificial intelligence, machine learning, and ethics. You’ll then specialize through one of five concentrations, each emphasizing practical, industry-focused AI solutions and offering extensive hands-on experience. Concentrations offered by Khoury College of Computer Sciences Join us in making a shared vision of computer science for everyone a powerful reality. The Align MS in Computer Science will prepare you to break into tech, without a computer science background. The Align MS in Computer Science Online offers a flexible online format with three in-person residences to prepare you to break into tech, without a computer science background.

The Align MS in Computer Science Online-Canada is a pathway to a CS master’s for students without a tech background, in a flexible online format. The Align MS in Data Science will teach you the skills to harness the power of data, even without a tech background. The Master of Science in Artificial Intelligence is designed to provide students with advanced knowledge and practical skills in the rapidly evolving field of AI. This program offers a comprehensive curriculum that covers core AI concepts, including machine learning, neural networks, natural language processing, and robotics. Students will gain a deep understanding of both theoretical and applied aspects of AI, preparing them to solve complex problems and innovate in various industries. The program emphasises hands-on experience through projects, case studies, and real-world applications, enabling students to apply AI techniques to create intelligent systems and drive decision-making processes.

The program is tailored for professionals and graduates who aspire to lead in the AI domain, whether in research, development, or management roles. With a focus on flexibility and accessibility, this degree allows students to balance their studies with professional and personal commitments. Graduates will be equipped to take on advanced roles in AI, such as data scientists, AI engineers, and AI project managers, and will be well-prepared to contribute to the development and deployment of AI... Woolf degrees align with major international qualification frameworks, ensuring global recognition and comparability. Earn your degree in the most widely recognized accreditation system in the world. Our accreditation through the Malta Further and Higher Education Authority (MFHEA) provides a solid foundation for credential recognition worldwide.

This course focuses on building basic classification and regression models and understanding these models rigorously both with a mathematical and an applicative focus. The module starts with a basic introduction to high dimensional geometry of points, distance-metrics, hyperplanes and hyperspheres. We build on top this to introduce the mathematical formulation of logistic regression to find a separating hyperplane. Students learn to solve the optimization problem using vector calculus and gradient descent (GD) based algorithms. The module introduces computational variations of GD like mini-batch and stochastic gradient descent. Students also learn other popular classification and regression methods like k-Nearest Neighbours, Naive Bayes, Decision Trees, Linear Regression etc.

Students also learn how each of these techniques under various real world situations like the presence of outliers, imbalanced data, multi class classification etc. Students learn bias and variance trade-off and various techniques to avoid overfitting and underfitting. Students also study these algorithms from a Bayesian viewpoint along with geometric intuition. This module is hands-on and students apply all these classical techniques to real world problems. This course is designed to bridge the gap between data theory and real-world applications. This course focuses on the endto- end process of data analytics, including data collection, cleaning, exploratory data analysis, and visualisation.

Students will learn how to apply statistical methods and machine learning techniques to analyse and interpret complex datasets, uncovering actionable insights that drive strategic decision-making across various domains such as business, healthcare, and technology. Mississippi State’s Master of Science in Artificial Intelligence (MSAI) prepares students to develop innovative artificial intelligence and machine learning-based solutions for emerging challenges and apply AI/ML techniques to problems across various fields. The curriculum combines advanced computer science theory with in-depth coursework in artificial intelligence and machine learning, offering students the flexibility to explore application areas that align with their interests and career goals. Students may choose between a thesis track or a non-thesis, coursework-only option. Instructional Support Fee per credit hour:$25.00 Tuition and fees listed are subject to change and do not include all possible charges.

Additional fees may apply. Please refer to the master class schedule for individual course charges. The online Master of Science degree in Artificial Intelligence is an interdisciplinary degree program offered through the University of Colorado Boulder and hosted online through Coursera’s learning platform. The program gives you advanced theoretical understanding and practical skills in neural networks, deep learning, reinforcement learning and generative AI. Along the way, you’ll acquire the skills needed to deliver production-ready AI and machine learning projects at every stage of the AI lifecycle, from model building through to optimization and scalable deployment. Unlike many computer science-related master’s degrees, you’ll acquire foundational math skills in areas like statistics, probability and linear algebra.

You’ll also explore bias mitigation, fairness, accountability and societal impact, in order to become a conscientious and ethical practitioner at a time where AI technologies are reshaping our economies and communities. You’ll graduate ready to tackle the complex ethical, technical and operational challenges you’ll face in the rapidly evolving AI landscape. Flexible enrollment options,no application required 15 credits breadth courses15 credits electives Enroll right away into a series of three one-credit pathway courses with a focus on either statistics or computer science. Complete your pathway with a GPA of 3.0 or better to be admitted to the program, all while making direct progress toward your degree.

Master Of Science In Artificial Intelligence Align

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