logo
  • uni logo

QS Rank:

verified

120

uni logo

Queen Mary University of London

flag

London

United Kingdom

Master of Machine Learning for Visual Data Analytics is one of the best courses to choose from that offers in-depth learning in a Artificial Intelligence. An MS Degree in Artificial Intelligence from the Queen Mary University of London has consistently made its place among the top global universities. International students prefer this course at the Queen Mary University of London due to its high graduate employability rate.

Queen Mary University of London offers exceptional education quality, high-end practical learning and ample work opportunities to its international students. After receiving their MS Degree in Artificial Intelligence from the Queen Mary University of London, students will be competent to carry out extensive research work in the field.

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

Why Study Machine Learning for Visual Data Analytics at Queen Mary University of London

  • 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

intake

Duration

12 Months

intake

Median Salary

$50,000

Ranking

icon

#110

US World and News Report

icon

#117

The World University Rankings

icon

#120

QS World University Rankings

intake

Intake

Fall ( Sept - Nov )

intake

Intake

Winter ( Jan - Mar )

Class Profile

intake

Class Size

25

intake

Average Age

25

intake

Average Work Experience

1 Years

Diversity

North America:

2%

South America:

1%

Asia:

10%

EU:

12%

Others:

3%

Africa:

3%

UK:

68%

Career Outcomes

intake

Median Earnings After Graduation

$50,000 / year

Prospective Job Roles

Statistician

Product Manager

Research Scientist

Computer Vision Engineer

Software Engineer

Data Engineer

Data Analyst

Legal Manager

Data Scientist

Business Analyst

Marketing Manager

Operations Manager

Data Architect

HR Manager

UX Designer

Sales Manager

Finance Manager

Machine Learning Engineer

Top recruiters

logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo
logo

Eligibility Criteria

English Proficiency Tests

  • PTE

    62

    tooltip
  • IELTS

    6.5

    tooltip
  • TOEFL

    92

    tooltip

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.

  • intake

    Transcript

  • intake

    Statement of Purpose

  • intake

    Academic LOR

  • intake

    Resume

Application Deadlines

Standard Deadline
FallSep 1, 2023
WinterDec 1, 2023

Fees and Funding

intake

Tuition Fees

$26,750 / 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 Queen Mary University of London offers a variety of scholarships for students pursuing a Master of Science in Machine Learning for Visual Data Analytics. These scholarships are based on academic merit, financial need, or a combination of the two. The university also offers a number of scholarships from external organizations, such as the British Computer Society and the Royal Statistical Society.
  • icon

    British Computer Society

  • icon

    Queen Mary University of London

  • icon

    Royal Statistical Society

FAQs

  • A student can complete Machine Learning for Visual Data Analytics at Queen Mary University of London with in 12.

  • The deadline to submit an admission application for Machine Learning for Visual Data Analytics at Queen Mary University of London is Application deadline Fall (Standard Deadline) - date - 01/09/2023 ,Application deadline Winter (Standard Deadline) - date - 01/12/2023

  • The annual tuition fee to pursue Machine Learning for Visual Data Analytics at Queen Mary University of London is GBP 26750.

  • The submission of these scores mainly depends on the type of degree/ course selected at the Queen Mary University of London. 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 Queen Mary University of London requirements before submitting a score.

  • Machine Learning for Visual Data Analytics 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 Queen Mary University of London, they can easily pursue Machine Learning for Visual Data Analytics . 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 Queen Mary University of London can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official Queen Mary University of London website to check the course/ degree duration.

  • One can apply for scholarships to pursue their international education at Queen Mary University of London 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.

Ready to elevate your study abroad journey?

Book a call with us now and take the first step towards your global future!

Connect with us on our social media

  • icon
  • icon
  • icon
  • icon