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QS Rank:

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375

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Northeastern University, Boston

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Massachusetts

United States

The Master's in Applied Machine Intelligence at Northeastern University, Boston is a premier program meticulously designed to equip students with advanced knowledge and skills in the rapidly evolving field of machine intelligence. The program emphasizes practical applications of machine learning, computer vision, and natural language processing, ensuring graduates are well-prepared to tackle real-world challenges. With a comprehensive curriculum, students delve into the core aspects of machine tool technology, gaining insights into the architecture, algorithms, and applications of intelligent systems.

The curriculum includes core courses such as Machine Learning Fundamentals, Data Structures and Algorithms, and Artificial Intelligence, alongside specialized electives that allow students to tailor their education according to their interests. Courses like Computer Vision and Natural Language Processing provide students with cutting-edge knowledge, while practical labs foster hands-on experience with the latest tools and technologies. This intensive program spans 12 months, designed for those who aspire to become leaders in the realm of machine intelligence.

Faculty expertise is another cornerstone of the Master's in Applied Machine Intelligence. Students learn from seasoned professionals and researchers who bring a wealth of experience from both academia and industry. The teaching methodology is designed to facilitate an interactive learning environment, incorporating project-based assessments and collaborative work. This approach ensures that students not only grasp theoretical concepts but also apply them in practical scenarios effectively. Faculty members often involve students in their research projects, enabling them to gain valuable insights and experience that are vital for future career endeavors.

Research opportunities at Northeastern are abundant, with access to state-of-the-art laboratories and resources. Students are encouraged to engage in innovative research that advances the fields of artificial intelligence and machine learning. The university's commitment to research is reflected in its various centers and institutes that focus on emerging technologies, providing students with the chance to contribute to significant advancements in the field. Collaborations with industry partners enhance these research opportunities, allowing students to work on projects that have real-world applications, bridging the gap between theory and practice.

Additionally, the Master's in Applied Machine Intelligence program fosters strong industry connections, providing students with numerous opportunities for internships and job placements. Northeastern's co-op program is highly regarded and offers students the chance to gain hands-on experience in prestigious companies while still completing their degree. This unique feature not only boosts the employability of graduates but also enriches their academic experience. With an average base salary of $110,000 for alumni, the program clearly positions graduates for lucrative career pathways in sectors such as artificial intelligence, robotics, and data analytics.

The broad spectrum of career outcomes for graduates includes roles such as Artificial Intelligence Engineer, Data Scientist, Robotics Engineer, and Big Data Engineer. Alumni from the program have gone on to work with industry giants and startups alike, showcasing the versatility and relevance of the skills acquired during their studies. Success stories from past students highlight transformative experiences that have propelled them into fulfilling careers.

The commitment to diversity and inclusion at Northeastern is evident, with a student body comprising 33.11% international scholars. This enriching environment allows students to learn from a rich tapestry of perspectives and cultures, fostering collaboration and innovation. The program encourages students to engage with their peers and participate in various extracurricular activities, further enhancing their educational experience.

To be admitted to the Master's in Applied Machine Intelligence, candidates must meet specific requirements. A bachelor’s degree in a related field, along with an official transcript, statement of purpose, resume, and academic letters of recommendation, is essential for the application. International students must also provide proof of English proficiency through standardized tests such as TOEFL, IELTS, or PTE.

Overall, the Master's in Applied Machine Intelligence is not just a degree; it is a pathway to high-impact careers and lifelong learning. The program stands out due to its robust curriculum, unparalleled faculty, and strong ties to industry, making it the ideal choice for those looking to make significant contributions to the field.

Why Study Applied Machine Intelligence at Northeastern University, Boston

  • A popular choice for international students with a diverse community, fostering global perspectives.
  • Learn from leading faculty members who are experts in their fields and have extensive industry experience.
  • Access to cutting-edge labs equipped with advanced technologies to facilitate innovative research.
  • Excellent placement programs with a high success rate in connecting students to top-tier companies.
  • Comprehensive support services for international students, including mentoring, career services, and cultural integration programs.
  • A vibrant campus life with numerous clubs, organizations, and networking events specifically for those in technology and engineering fields.

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Duration

12 Months

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Median Salary

$1,00,000

Ranking

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#176

US World and News Report

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#375

QS World University Rankings

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Intake

Fall ( Sept - Nov )

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Winter ( Jan - Mar )

Class Profile

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Class Size

25

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Average Age

28

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Average Work Experience

3 Years

Diversity

Two or more races:

4%

Others:

1%

Hispanic or Latino:

13%

Asian:

26%

Black or African American:

8%

White:

48%

Career Outcomes

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Median Earnings After Graduation

$1,00,000 / year

Prospective Job Roles

Artificial Intelligence Engineer

Research Scientist

Computer Vision Engineer

Software Engineer

Natural Language Processing Engineer

Data Analyst

Robotics Engineer

Data Scientist

Big Data Engineer

Machine Learning Engineer

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • TOEFL

    79

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  • IELTS

    6.5

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  • PTE

    53

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Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

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    Transcript

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    Statement of Purpose

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    Resume

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    Academic LOR

Application Deadlines

Standard Deadline
FallJul 17, 2023
WinterNov 21, 2023

Fees and Funding

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Tuition Fees

$48,300 / year

Funding Options

External Sources - Scholarships

Department Funding

To apply, submit a complete application for admission within a few weeks of the priority deadline for best results.

Scholarships

The Northeastern University Master of Science in Applied Machine Intelligence (AMI) program is designed to prepare students for careers in the rapidly growing field of machine intelligence. The program offers a rigorous curriculum that covers the fundamentals of machine learning, data mining, and natural language processing. Students also gain hands-on experience in applying machine intelligence to real-world problems through a variety of projects and internships. The program is highly selective, and admission is based on academic achievement, research experience, and letters of recommendation.
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    The National Institutes of Health (NIH)

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    The National Science Foundation (NSF) Graduate Research Fellowship Program

FAQs

  • A student can complete Applied Machine Intelligence at Northeastern University, Boston with in 12.

  • The deadline to submit an admission application for Applied Machine Intelligence at Northeastern University, Boston is Application deadline Fall (Standard Deadline) - date - 17/07/2023 ,Application deadline Winter (Standard Deadline) - date - 21/11/2023

  • The application fee to pursue Applied Machine Intelligence at Northeastern University, Boston is USD 75 for international students.

  • The annual tuition fee to pursue Applied Machine Intelligence at Northeastern University, Boston is USD 48300.

  • The submission of these scores mainly depends on the type of degree/ course selected at the Northeastern University, Boston. For example, the GMAT test is required to take admission to an abroad graduate management program, the LSAT is required during an abroad Law School admission process, and more. Therefore, check Northeastern University, Boston requirements before submitting a score.

  • Applied Machine Intelligence can help Indian/ international students gain: 1. Quality and Practical Education 2. Global Recognition 3. International Exposure 4. Amazing Job Opportunities 5. Experience of Lifetime and more

  • If a student fulfils all the eligibility criteria and admission requirements of Northeastern University, Boston, they can easily pursue Applied Machine Intelligence . The basic eligibility criteria include the following: 1. A GPA above 3 2. Well-written Statement of Purpose 3. An impressive Letter of Recommendation 4. A Work Experience Certificate (if required) 5. A Statement of Financial Proof 6. Academic Transcripts 7. Valid Visa, etc.

  • An MS degree at Northeastern University, Boston can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official Northeastern University, Boston website to check the course/ degree duration.

  • One can apply for scholarships to pursue their international education at Northeastern University, Boston by: 1. Looking for country-specific scholarships by contacting the specific scholarship institutions. 2. Applying to or finding out if any subject-specific scholarships are available from the university website/ department.

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