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QS Rank:

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50

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Northwestern University

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Illinois

United States

The Master of Science in Artificial Intelligence program at Northwestern University stands out as one of the most advanced and sought-after academic offerings in the rapidly evolving field of artificial intelligence. This program is designed to equip students with the theoretical foundations and practical skills necessary to excel in AI. With a focus on machine learning, natural language processing, and data analysis, students will gain critical competencies that are highly valued in the tech industry. The curriculum is structured to foster innovation and creativity, preparing graduates to tackle real-world challenges using cutting-edge AI technologies.

The program spans a duration of 15 months, allowing students to immerse themselves fully in an environment that promotes intense learning and collaboration. Over this period, students will engage with a rigorous curriculum that includes core courses such as Machine Learning Principles, Natural Language Processing, and Ethics in AI, along with an array of elective courses tailored to individual interests and career aspirations. This structure encourages students to explore various facets of artificial intelligence while emphasizing practical applications through hands-on projects and research. By the end of the program, graduates will emerge with a profound understanding of AI concepts and practical experience that can be applied directly to industry scenarios.

One of the defining features of the Master’s program is its faculty expertise. The instructors are not just academicians but active researchers and industry experts who bring a wealth of knowledge and real-world experience into the classroom. This connection between theory and practice is further enhanced through opportunities for students to become research assistants, allowing them to collaborate on groundbreaking projects and contribute to significant advancements in AI. The faculty’s dedication to student success fosters an engaging learning environment where ideas are shared, and innovation thrives.

In addition to exceptional teaching, Northwestern University provides ample resources to support students in their academic and professional endeavors. State-of-the-art laboratories and research centers are equipped with the latest technology, enabling students to conduct sophisticated experiments and develop innovative AI solutions. Research opportunities abound, with students encouraged to participate in projects that align with their interests. These projects not only enhance learning but also significantly boost students' resumes, providing them with a competitive edge in the job market.

Industry connections play a crucial role in the success of the Master of Science in Artificial Intelligence program. Northwestern University has cultivated strong relationships with leading technology companies and organizations, facilitating internship and job placement opportunities for students. These connections allow students to gain invaluable experience working on real-world problems, networking with industry professionals, and increasing their employability post-graduation. The program's graduates have been highly sought after, with an impressive median base salary of $122,000, reflecting the program's reputation and the high demand for AI professionals in the market.

Moreover, the program boasts numerous successful alumni who have gone on to have impactful careers in various sectors such as technology, finance, healthcare, and beyond. Many alumni have taken on roles as Artificial Intelligence Engineers, Software Engineers, and Data Analysts, showcasing the diverse career pathways available to graduates. Their testimonials highlight not only the high-quality education received but also the supportive community and collaborative learning environment fostered by Northwestern University. This vibrant alumni network provides ongoing support and mentorship for current students, further enhancing the program's value.

With all these unique features combined, the Master of Science in Artificial Intelligence at Northwestern University is not just an academic program but a transformative experience that prepares students for leadership roles in the ever-evolving field of artificial intelligence.

Why Study Artificial Intelligence at Northwestern University

  • A popular choice for international students with a diverse community, enhancing cultural exchange and collaboration.
  • Learn from leading faculty members who are at the forefront of AI research, providing students with insights into current trends and challenges.
  • Access to high-end labs and technology resources that support advanced research and innovation in artificial intelligence.
  • Excellent placement programs and strong industry connections that facilitate internships and job opportunities, leading to successful career outcomes.

Eligibility Requirements:

To be considered for the Master of Science in Artificial Intelligence program, prospective students must meet specific eligibility criteria. All applicants are required to submit a completed application, including:

  • Official Transcripts: All academic transcripts must be submitted to demonstrate prior academic performance.
  • Personal Statement: A thoughtfully crafted statement (500 words or less) addressing motivations for applying, interest in AI, and future career goals.
  • Academic Letter of Recommendation: A recommendation letter from an academic source supporting the applicant's qualifications.
  • Resume: A current resume detailing relevant academic and professional experiences.

International students must also provide proof of English proficiency through standardized tests, with minimum scores as follows:

  • IELTS: Minimum overall score of 7.0 with a total score of 9.0.
  • TOEFL: Minimum total score of 100 out of 120.
  • PTE: Minimum score of 90 with no individual score lower than 5.0.

With a commitment to excellence, innovation, and a forward-thinking approach, the Master of Science in Artificial Intelligence at Northwestern University prepares students to become leaders in the AI field, ready to make significant contributions to society and industry advancements.

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Total Tuition Fees

$88,000

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Duration

15 Months

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Median Salary

$1,22,000

Ranking

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#10

US World and News Report

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#26

The World University Rankings

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#50

QS World University Rankings

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Intake

Fall ( Sept - Nov )

Class Profile

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Class Size

40

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Average Age

27

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Average Work Experience

3 Years

Diversity

Midwest:

20%

Others:

5%

International:

15%

Northeast:

25%

Southeast:

15%

West:

20%

Career Outcomes

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Median Earnings After Graduation

$1,22,000 / year

Prospective Job Roles

Artificial Intelligence Engineer

Software Engineer

Natural Language Processing Engineer

Deep Learning Engineer

User Experience Designer

Data analyst

Machine Learning Engineer

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • IELTS

    7

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  • TOEFL

    100

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  • PTE

    5

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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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Application Fee: 95

  • intake

    Transcript

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    Academic LOR

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    Personal Statement

    241

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    Resume

Application Deadlines

Priority 1Final Deadline
FallN/AN/A

Fees and Funding

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Tuition Fees

$88,000 / year

FAQs

  • The MSAI program is a full-time, daytime, 15-month program (4 quarters plus a summer internship).

  • Yes, MSAI is part of the McCormick School of Engineering and is therefore considered a STEM program. MSAI does qualify international students for a curricular practical training (CPT) and optional practical training (OPT) extension.

  • The goal of the Master of Science in Artificial Intelligence program is to produce graduates who are designers and developers of AI systems and who can integrate the central AI technologies of analytics and symbolic reasoning in the crafting of user-centric solutions. The focus of the MS in Computer Science is a more general approach to providing students with an understanding of the core concepts of Computer Science.

  • Internships are not guaranteed, and students are ultimately responsible for securing their internship positions.

  • Students will be allowed to take extra courses as long as approval is granted from both the MSAI administration and the faculty advising either project courses and/or research.

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