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QS Rank:

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164

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University of Maryland, College Park

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Maryland

United States

Overview

Master of Machine Learning is one of the best courses to choose from that offers in-depth learning in a Algorithms and Machine Learning. An MS Degree in Algorithms and Machine Learning from the University of Maryland, College Park has consistently made its place among the top global universities. International students prefer this course at the University of Maryland, College Park due to its high graduate employability rate.

University of Maryland, College Park offers exceptional education quality, high-end practical learning and ample work opportunities to its international students. After receiving their MS Degree in Algorithms and Machine Learning from the University of Maryland, College Park, students will be competent to carry out extensive research work in the field.

The interactive curriculum, vast research opportunities and exceptional teaching faculty at University of Maryland, College Park offer students a life-altering learning experience. A Master of Science Degree helps students become creative and independent researchers. Overall, an MS Degree in Algorithms and Machine Learning from the University of Maryland, College Park is a great choice for students who want to analyse the field in great depth.

Why Study Machine Learning at University of Maryland, College Park

  • A popular choice for international students with a diverse community
  • Learn from the best faculty members and become their research assistants
  • High-end labs to facilitate research work
  • Excellent placement programs after course completion

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Duration

24 Months

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Median Salary

$1,10,000

Ranking

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#55

US World and News Report

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#104

The World University Rankings

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#164

QS World University Rankings

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

Language Test Scores

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Minimum Score

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7 / 9

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Minimum Score

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96 / 120

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Minimum Score

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68 / 90

Diversity

Others:

1%

Hispanic or Latino:

13%

Black or African American:

11%

Two or more races:

2%

Asian:

27%

White:

47%

Admissions

Application Requirements

To be eligible for the Master of Science in Machine Learning program, applicants must have a bachelor's degree in computer science, engineering, mathematics, or a related field with a GPA of 3.0 or higher. Applicants must also have strong programming skills in Python, Java, or C++. The program also requires applicants to have taken courses in calculus, linear algebra, and probability and statistics. In addition, applicants must submit a statement of purpose, a resume, and three letters of recommendation. The application deadline is January 15.

What Really Matters When Applying

  • Online Application

    Required

  • Official Transcripts

    Required

  • Statement of Purpose

    Required

  • GRE Scores (optional)

    Required

  • Resume or CV

    Required

  • English Language Proficiency

    Required

  • Application Fee

    Required

  • Academic LOR

    Required

  • Transcript

    Required

  • Resume

    Required

Career Outcomes

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Median Earnings After Graduation

$1,10,000 / year

Prospective Job Roles

Statistician

Research Scientist

Software Engineer

Data Analyst

AI Engineer

Data Scientist

Big Data Engineer

Data Architect

Machine Learning Specialist

Machine Learning Engineer

Top recruiters

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Fees and Funding

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Tuition Fees

$19,500 / 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 University of Maryland, College Park offers a variety of scholarships for students pursuing a master's degree in machine learning. These scholarships are based on merit, financial need, or a combination of the two. The university also offers a number of fellowships and assistantships that can help students cover the cost of their education.
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    American Association for Artificial Intelligence

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    University of Maryland, College Park

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    Machine Learning Research Institute

FAQs

  • A student can complete Machine Learning at University of Maryland, College Park with in 24.

  • The application fee to pursue Machine Learning at University of Maryland, College Park is USD 75 for international students.

  • The annual tuition fee to pursue Machine Learning at University of Maryland, College Park is USD 19500.

  • The submission of these scores mainly depends on the type of degree/ course selected at the University of Maryland, College Park. 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 University of Maryland, College Park 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 University of Maryland, College Park, 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 University of Maryland, College Park can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official University of Maryland, College Park website to check the course/ degree duration.

  • One can apply for scholarships to pursue their international education at University of Maryland, College Park 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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