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QS Rank:

verified

1001

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University of Wolverhampton

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Wolverhampton

United Kingdom

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Program Rank

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1001

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Total Tuition Fees

$63,800

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Duration

24 Months

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Median Salary

$1,10,000

Ranking

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#1001

The World University Rankings

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#1001

QS World University Rankings

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Intake

Winter ( Jan - Mar )

Class Profile

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Class Size

25

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Average Age

27

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Average Work Experience

2 Years

Diversity

Others:

5%

International:

20%

Black or Black British:

10%

White British:

60%

Mixed:

5%

Asian or Asian British:

15%

Career Outcomes

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Median Earnings After Graduation

$1,10,000 / year

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Graduation Rate

96%

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Job Placement

96%

Prospective Job Roles

Artificial Intelligence Engineer

Product Manager

Research Scientist

Machine learning engineer

Teacher

IT Software Engineer

Data scientist

Writer

IT Consultant

Entrepreneur

Top recruiters

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Eligibility Criteria

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Accepted fields include Bachelor of Engineering - BE, Bachelor of Technology - BTech.

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At least 3.0 / 4 undergraduate GPA is expected.

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At least 3 years of bachelor degree.

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At least 24 months of full-time professional experience after graduation.

English Proficiency Tests

  • IELTS

    6.5

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  • TOEFL

    79

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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: 0

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    Transcript

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    IELTS

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    Statement of Purpose

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    Passport

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    Resume

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    Academic LOR

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    Professional LOR

Application Deadlines

Round 1Round 2
WinterJan 8, 2025Jan 20, 2025

Fees and Funding

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Tuition Fees

$15,950 / year

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Overall Cost

$30,950 / year

FAQs

  • Graduates are prepared for high-demand roles such as: Machine learning engineer Data scientist AI researcher Robotics specialist Roles in healthcare, finance, cybersecurity, autonomous systems, and more The program also serves as a strong pathway to PhD research and academic careers.
  • Duration: 1 year full-time. Intakes: September 2025, January 2026, and September 2026.
  • Key modules and focus areas: Research Methods in AI Foundations of Artificial Intelligence Machine Learning and Data Mining Natural Language Processing (NLP) Robotics and advanced computational techniques Ethical and societal considerations in AI The program culminates in a significant independent research project.
  • A recognized undergraduate or postgraduate degree (or equivalent) in Computer Science or a closely related subject, with a minimum of 53% or equivalent academic score. English language proficiency: IELTS 6.0 overall (with no component below 5.5) or equivalent. International applicants should check for country-specific requirements.
  • This program is ideal for graduates with a background in computer science, engineering, or related technical fields who wish to develop expertise in cutting-edge AI technologies. It is suitable for both recent graduates and professionals seeking to advance in AI-driven industries or academia.
  • The MRes Artificial Intelligence is a research-focused master’s degree designed to equip students with advanced knowledge and research skills in AI and machine learning. The program emphasizes independent research, hands-on projects, and engagement with real-world AI challenges, preparing graduates for careers in industry or further academic study such as a PhD.

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