MS in Accounting
Northeastern University in Boston offers a robust MS in Accounting pro...
MS in Artificial Intelligence
Boston
INTAKE: Jan & Sept
Program Overview
Northeastern University’s Master of Science in Artificial Intelligence (MSAI) offers an advanced interdisciplinary program designed for students seeking to deepen their expertise in AI and machine learning. This program provides a comprehensive understanding of the theoretical and practical aspects of AI, preparing graduates for leadership roles in the rapidly growing tech industry. Students will gain proficiency in machine learning algorithms, natural language processing, and data analytics, with a focus on innovation and solving real-world problems through AI technologies.
Curriculum: The MSAI program’s curriculum blends foundational knowledge with cutting-edge AI techniques. Core courses cover subjects such as machine learning, deep learning, computer vision, natural language processing, and AI ethics. Students can also choose from elective courses to tailor their studies to specific interests, including robotics, data science, and reinforcement learning. The curriculum emphasizes hands-on learning and provides opportunities for students to engage in practical AI applications through capstone projects and lab-based courses.
Research Focus: Northeastern University is at the forefront of AI research, with a strong emphasis on applied research across diverse fields such as healthcare, autonomous systems, and data science. The university’s AI research initiatives are interdisciplinary, drawing from computer science, engineering, and social sciences. Faculty and students collaborate on projects that address real-world challenges, from creating ethical AI systems to advancing AI-driven healthcare solutions. Northeastern’s research is designed to make a tangible impact, and students are encouraged to participate in cutting-edge research projects.
Industry Engagement: One of the hallmarks of Northeastern’s MSAI program is its strong industry connections. The university’s co-op program offers students the opportunity to work with top companies in AI and related industries, gaining valuable professional experience while earning academic credit. Northeastern collaborates with industry leaders such as Google, Microsoft, and IBM, providing students with access to a network of experts and potential employers. This industry engagement ensures that graduates are well-prepared to enter the workforce with practical, real-world experience.
Global Perspective: Northeastern’s global perspective in AI education is enriched by its diverse student body and international collaborations. The university offers opportunities for students to study abroad or engage in global projects, providing a broader understanding of AI’s applications across different cultures and industries. Northeastern’s commitment to global engagement ensures that graduates are equipped to work in a globalized tech industry, understanding both the technical and cultural aspects of AI solutions.
Location
Boston
Score
IELTS 6.5
Tuition Fee
USD 28560
Postgraduate Entry Requirements
Academic Qualifications: Applicants for postgraduate programs typically require a minimum academic achievement of 70% or above in their bachelor's degree.
English Language Proficiency:
- IELTS: Overall band score of 6.5 with a minimum of 6.0 in each component.
- TOEFL: Overall score of 79 or higher.
- PTE: Overall score of 53 or higher.
- DET (Duolingo English Test): Minimum score of 105.
Northeastern University in Boston offers a range of scholarship opportunities for international students to help alleviate the financial burden of studying in the United States. These scholarships are designed to support academically talented students from around the world, promoting diversity and fostering an inclusive campus environment.
Merit-Based Scholarships: Northeastern University provides merit-based scholarships to international students based on academic excellence and achievements. These scholarships are awarded during the admissions process and are highly competitive. The amount and criteria for these scholarships may vary, but they aim to recognize students who demonstrate exceptional academic performance, leadership potential, and a strong their chosen field of study.
Northeastern International Scholars Program: This prestigious program offers scholarships to outstanding international students who exhibit leadership, academic excellence, and a desire to contribute to the global community. The Northeastern International Scholars Program provides both financial support and opportunities for personal growth through networking events, leadership training, and involvement in community service initiatives.
Need-Based Financial Aid: Although Northeastern University does not offer need-based financial aid to international students, there are still many merit-based scholarships available that can significantly reduce tuition costs. However, international students are encouraged to seek external scholarships or funding from their home country to help cover the remaining costs.
External Scholarships and Funding: In addition to institutional scholarships, international students at Northeastern University can explore a variety of external scholarship opportunities from governments, foundations, and organizations in their home countries. Many international students receive funding from these sources to support their education at Northeastern.
Graduates of the Master of Science in Artificial Intelligence (MSAI) program at Northeastern University are well-equipped to pursue a variety of career paths across the rapidly growing field of AI. With a strong foundation in machine learning, data science, and AI applications.
Artificial Intelligence Engineer: Design, develop, and implement AI algorithms and systems in sectors such as technology, healthcare, and finance.
Machine Learning Engineer: Specialize in creating machine learning models to enhance products, services, and systems across industries.
Data Scientist: Utilize AI techniques to analyze large datasets and extract meaningful insights for decision-making in business and technology.
AI Research Scientist: Conduct advanced research in AI and machine learning, pushing the boundaries of knowledge in areas like deep learning, computer vision, and natural language processing.
Robotics Engineer: Develop autonomous systems and robots for applications in manufacturing, healthcare, and other industries.
Natural Language Processing (NLP) Specialist: Work on AI systems focused on human-computer interactions, voice recognition, and language translation.
AI Consultant: Advise companies on how to integrate AI technologies into their operations to optimize performance and efficiency.
Software Engineer with AI specialization: Develop software solutions that incorporate machine learning and AI-driven functionality.
