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QS Rank:

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114

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Georgia Institute of Technology

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Georgia

United States

The PhD in Machine Learning at the esteemed Georgia Institute of Technology is a premier educational program designed to equip students with the advanced skills and knowledge needed in the rapidly evolving fields of Data Science and Business Intelligence. This program emphasizes not only theoretical understanding but also practical application, allowing students to explore fresh, innovative ideas through rigorous research and experimentation. As a comprehensive doctorate program, it prepares graduates for the challenges and opportunities that come with a career in machine learning and artificial intelligence, making a meaningful impact on both academia and industry.

With a curriculum that is continually updated to reflect the latest trends and technologies, the PhD in Machine Learning offers a rich selection of specialized courses that cover various aspects of machine learning, including deep learning, natural language processing, computer vision, and statistical modeling. Core courses are supplemented by electives that allow students to tailor their studies to match their interests and career goals. Furthermore, students have the opportunity to engage in interdisciplinary projects, collaborating with peers across different fields to tackle complex problems using machine learning techniques.

The faculty associated with the College of Computing at Georgia Tech is composed of world-renowned researchers and industry practitioners who bring a wealth of expertise to the program. Their innovative teaching methodologies, which include hands-on projects, case studies, and research-based learning, ensure that students gain practical skills and a deep understanding of machine learning concepts. Faculty members are also dedicated to mentoring students, providing guidance and support as they navigate their doctoral studies and embark on their research projects.

Research opportunities abound at Georgia Tech, particularly within its state-of-the-art laboratories and centers focused on machine learning and artificial intelligence. Students are encouraged to participate in cutting-edge research that addresses real-world challenges, often in collaboration with industry partners. The university’s strong ties with leading tech companies and research institutions provide unparalleled access to resources and internship opportunities, facilitating a seamless transition from academic study to professional practice.

Graduates of the PhD in Machine Learning program enjoy a wealth of career pathways across diverse industries, including technology, finance, healthcare, and academia. With a median base salary of approximately $105,000, students are well-positioned to secure rewarding positions such as Data Scientist, Machine Learning Engineer, Statistician, and Research Scientist among others. The strong alumni network and career services offered by Georgia Tech further enhance job placement rates, ensuring that graduates are prepared to excel in their chosen fields.

At Georgia Tech, the success stories of alumni serve as a testament to the program's effectiveness. Graduates have gone on to achieve significant milestones, leading innovative projects in prestigious organizations and contributing to groundbreaking research in machine learning and artificial intelligence. Their experiences highlight the transformative impact of the PhD in Machine Learning program, showcasing its ability to cultivate the next generation of thought leaders in this dynamic field.

Unique features of the program include access to a vibrant community of researchers and practitioners dedicated to advancing machine learning technology. The collaborative environment fosters creativity and innovation, encouraging students to take intellectual risks and push the boundaries of their work. Additionally, the program's emphasis on interdisciplinary collaboration prepares graduates to tackle complex challenges that require insights from multiple fields, enhancing their versatility and marketability in a competitive job landscape.

Admission to the PhD in Machine Learning program at Georgia Tech requires a strong academic background, demonstrated research potential, and the successful completion of prerequisite coursework. Applicants must submit a transcript, resume, statement of purpose, GRE scores, and academic letters of recommendation. Additionally, proficiency in English is required, with a minimum IELTS score of 7.0 or a TOEFL score of 90. The application deadline for the program is December 1st, 2023, for the Fall intake.

Why Study PhD in Machine Learning at Georgia Institute of Technology?

  • A globally recognized program with a focus on practical applications and innovative research.
  • World-class faculty with extensive expertise in machine learning and artificial intelligence.
  • Access to cutting-edge research facilities and collaborative projects with industry leaders.
  • Strong career outcomes with high placement rates and competitive salaries.
  • A vibrant and diverse community that fosters creativity and innovation.
  • Interdisciplinary approach that prepares graduates for a wide range of professional opportunities.
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Duration

48 Months

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Median Salary

$1,05,000

Ranking

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#44

US World and News Report

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#38

The World University Rankings

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#114

QS World University Rankings

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Intake

Fall ( Sept - Nov )

Class Profile

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Class Size

20

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Average Age

28

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Average Work Experience

3 Years

Diversity

Others:

1%

Two or more races:

3%

White:

49%

Hispanic or Latino:

10%

Black or African American:

10%

Asian:

27%

Career Outcomes

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Median Earnings After Graduation

$1,05,000 / year

Prospective Job Roles

Statistician

Research Scientist

Software Engineer

Machine Learning Engineer

Data Analyst

Quantitative Analyst

Data Scientist

Business Analyst

Consultant

Operations Research Analyst

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • IELTS

    7

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  • TOEFL

    90

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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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    Resume

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    Statement of Purpose

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    GRE

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    Academic LOR

Application Deadlines

Standard Deadline
FallDec 1, 2023

Fees and Funding

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Tuition Fees

$12,150 / 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 Georgia Institute of Technology offers a variety of scholarships for PhD students in Machine Learning. These scholarships are based on academic merit, financial need, and research interests. Some of the best scholarships providers include the National Science Foundation, the Alfred P. Sloan Foundation, and the Google Ph.D. Fellowship.
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    Alfred P. Sloan Foundation

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    Google Ph.D. Fellowship

FAQs

  • A student can complete Machine Learning at Georgia Institute of Technology with in 48.

  • The deadline to submit an admission application for Machine Learning at Georgia Institute of Technology is Application deadline Fall (Standard Deadline) - date - 01/12/2023

  • The application fee to pursue Machine Learning at Georgia Institute of Technology is USD 85 for international students.

  • The annual tuition fee to pursue Machine Learning at Georgia Institute of Technology is USD 12150.

  • The submission of these scores mainly depends on the type of degree/ course selected at the Georgia Institute of Technology. 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 Georgia Institute of Technology requirements before submitting a score.

  • Machine Learning 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 Georgia Institute of Technology, they can easily pursue Machine Learning. 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 Georgia Institute of Technology can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official Georgia Institute of Technology website to check the course/ degree duration.

  • One can apply for scholarships to pursue their international education at Georgia Institute of Technology 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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