MS in Accounting
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MPS in Applied Machine Intelligence
Boston
INTAKE: Jan, Mar, June & Sept
Program Overview
The MPS in Applied Machine Intelligence program at Northeastern University focuses on developing the skills necessary to design, implement, and manage intelligent systems that solve complex problems. The program covers foundational topics in AI, machine learning, data science, and computational modeling, with a practical, application-driven approach. Students work with real-world datasets and cutting-edge technologies to solve problems in diverse sectors such as healthcare, finance, robotics, and cybersecurity. By the end of the program, students are equipped to apply AI methodologies in industry settings, making valuable contributions to the development of intelligent systems and innovations.
Curriculum: The curriculum of the MPS in Applied Machine Intelligence program is designed to provide both theoretical knowledge and practical skills in AI. Core courses include machine learning algorithms, data mining, computational intelligence, and deep learning. Students also explore advanced topics in areas such as natural language processing, computer vision, and AI ethics. The program allows for flexibility, offering elective courses to tailor the education to specific interests, such as AI for business, autonomous systems, or AI in healthcare. This approach ensures that graduates have a well-rounded, comprehensive understanding of applied machine intelligence and are prepared for various roles in the field.
Research Focus: Northeastern University encourages research that explores the latest advancements in artificial intelligence and machine learning. The MPS in Applied Machine Intelligence program supports students in conducting cutting-edge research in areas such as reinforcement learning, neural networks, robotics, and AI-driven decision-making. Students have opportunities to collaborate with faculty and industry partners on research projects that address real-world problems, such as improving machine learning models, developing new algorithms, and enhancing the functionality of intelligent systems. This research-driven focus allows students to contribute to the development of innovative AI solutions.
Industry Engagement: Northeastern University is renowned for its strong industry connections, and the MPS in Applied Machine Intelligence program offers numerous opportunities for industry engagement through its co-op program. Students have the chance to work with leading technology companies, startups, and research institutions, applying their knowledge to real-world challenges and gaining valuable professional experience. The program’s emphasis on industry collaboration ensures that students develop a practical understanding of how machine intelligence is applied in business and technology environments. Moreover, Northeastern’s strong ties to the AI industry provide students with access to expert speakers, networking events, and career services.
Global Perspective: The MPS in Applied Machine Intelligence program at Northeastern University prepares students for the global landscape of AI and machine learning. Students learn to apply AI concepts to solve challenges faced by organizations around the world, considering cultural, ethical, and regulatory factors that affect the deployment of machine intelligence. The program's international perspective is reflected in its global case studies, research collaborations, and the diverse backgrounds of its students and faculty. By gaining insights into global AI trends and practices, students are equipped to work in diverse settings and adapt AI solutions to meet the needs of different markets.
Location
Boston
Score
IELTS 6.5
Tuition Fee
USD 44910
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 MPS in Applied Machine Intelligence program from Northeastern University are equipped with the advanced skills and knowledge required to excel in a variety of roles across industries that leverage artificial intelligence and machine learning. The program's focus on real-world applications and hands-on experience positions graduates for leadership and technical roles in both emerging and established sectors.
Machine Learning Engineer: Graduates can work as machine learning engineers, developing, implementing, and optimizing machine learning models and algorithms for a range of applications, such as predictive analytics, natural language processing, and image recognition. They are integral to organizations that use data-driven decision-making.
Data Scientist: As data scientists, graduates apply their knowledge of machine learning and statistical analysis to analyze large datasets, uncover insights, and create data-driven solutions. They work across various industries including healthcare, finance, and tech, providing valuable data insights for strategic decision-making.
AI Research Scientist: In this role, graduates focus on researching and developing new AI techniques, models, and algorithms. Their work advances the field of artificial intelligence, often in research labs, tech companies, or academic settings, contributing to the creation of cutting-edge AI technologies.
AI Software Developer: Graduates can work as software developers specializing in AI, designing and building software systems that incorporate machine learning models to automate tasks, enhance user experience, and drive innovation. Their role is crucial in industries adopting AI-driven software solutions.
Computer Vision Engineer: As computer vision engineers, graduates focus on enabling machines to interpret and understand visual data. They work with technologies like autonomous vehicles, surveillance systems, and robotics, using machine learning techniques to improve visual recognition capabilities.
Natural Language Processing (NLP) Engineer: Graduates with an interest in language and AI can become NLP engineers, working on systems that allow computers to understand and generate human language. They work on applications such as voice assistants, chatbots, translation systems, and sentiment analysis tools.
Robotics Engineer: With a background in applied machine intelligence, graduates can pursue careers in robotics, where they design and develop intelligent systems capable of performing tasks autonomously. Their work might involve programming robots for industries like manufacturing, healthcare, or logistics.
AI Product Manager: Some graduates may opt for roles as AI product managers, overseeing the development and deployment of AI-powered products. They bridge the gap between technical teams and business stakeholders, ensuring AI solutions meet customer needs and align with business goals.
Business Intelligence Analyst: As business intelligence analysts, graduates use machine learning and data analytics to help companies make data-driven decisions, optimize business processes, and predict market trends. They provide insights that drive strategic planning and operational improvements.
Cybersecurity AI Specialist: Graduates can also specialize in applying AI techniques to the field of cybersecurity, developing AI-driven systems that detect, prevent, and respond to cyber threats. Their expertise is valuable in developing intelligent security solutions to safeguard data and networks.
Consultant in AI and Machine Learning: Some graduates choose to become consultants, advising companies on how to implement AI technologies to solve specific business challenges. They help organizations integrate AI solutions, optimize operations, and stay competitive in a rapidly evolving technological landscape.
