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QS Rank:

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27

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University of Edinburgh

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Edinburgh

United Kingdom

The Master of Science in Computer Science, with a specialization in Artificial Intelligence, offered by the University of Edinburgh, stands at the forefront of pioneering technology and research. This program is meticulously designed to equip students with a profound understanding of both theoretical and practical aspects of artificial intelligence, ensuring they are prepared to tackle the challenges of the digital age. With a curriculum that balances foundational knowledge with cutting-edge applications, students will explore a range of topics including machine learning, computer vision, natural language processing, and robotics, all while being guided by world-class faculty experts.

The program spans a duration of 12 months and is structured to provide a comprehensive learning experience. Students will engage in industry-relevant project work, participate in collaborative research initiatives, and have access to state-of-the-art facilities. The curriculum includes a mix of core modules such as AI Fundamentals, Data Science, and Advanced Machine Learning, alongside elective courses that allow students to tailor their studies according to their interests and career aspirations. Additionally, the program culminates in a capstone project where students can apply their knowledge to real-world challenges, demonstrating their skills to potential employers.

One of the unique features of the Master of Science in Computer Science at the University of Edinburgh is the close ties the program maintains with industry leaders. This connection enables students to gain practical insights into current trends and technologies that shape the field of artificial intelligence. Through partnerships with companies and organizations, students have opportunities to undertake internships, participate in hackathons, and attend guest lectures by industry professionals. These experiences not only enhance their learning but also expand their professional networks, providing a significant advantage when entering the job market.

The faculty involved in this program comprises esteemed academics and practitioners who bring a wealth of experience and knowledge to the classroom. Many of the instructors are actively engaged in groundbreaking research, contributing to the global discourse on artificial intelligence and its implications. Their teaching methodology emphasizes hands-on learning and collaborative projects, fostering an environment where students can thrive. Furthermore, faculty members are dedicated to supporting students' academic and professional growth, offering mentorship and guidance throughout the program.

Students enrolled in this program will benefit from the extensive research opportunities available at the University of Edinburgh. The university is home to several leading research centers and institutes that focus on artificial intelligence, data science, and machine learning. These resources provide students with the chance to engage in cutting-edge research projects, collaborate with experts, and contribute to advancements in the field. This involvement not only enriches their academic experience but also enhances their employability by equipping them with unique skills and knowledge.

The career outcomes for graduates of the Master of Science in Computer Science are exceptionally promising. With the demand for skilled professionals in artificial intelligence continuing to grow, graduates find themselves well-positioned for various roles across multiple sectors. Prospective job roles include Software Engineer, Software Architect, Security Software Engineer, Application Developer, and more. The average starting salary for graduates is around £35,000, with median salaries reaching up to £55,000 as they progress in their careers.

Alumni of the program have successfully transitioned into influential positions in renowned organizations, showcasing the effectiveness of the program. Many have shared their experiences, highlighting how the comprehensive curriculum, along with the practical exposure provided, has been instrumental in their career development. Their success stories serve as a testament to the quality of education and the supportive community at the University of Edinburgh.

Why study Master of Science in Computer Science at University of Edinburgh? The answer lies in the university's commitment to excellence, innovation, and student success. Here are several compelling reasons to consider this program:

  • Renowned faculty with extensive expertise in artificial intelligence and related fields.
  • A diverse, international student body fostering a rich learning environment.
  • Robust industry connections facilitating internship and employment opportunities.
  • Access to state-of-the-art facilities and resources for hands-on learning.
  • Comprehensive curriculum that combines theoretical knowledge with practical application.
  • Strong focus on research, with numerous opportunities to engage in innovative projects.
  • A supportive academic environment dedicated to students’ success.

For prospective students, there are specific requirements needed to apply for this program. Candidates must submit a valid passport, a detailed resume, and language proficiency test scores such as IELTS with a minimum overall score of 7.0 or TOEFL with a minimum score of 100. Additionally, a personal statement of approximately 500 words is required, outlining the applicant's academic background and motivation for pursuing this degree. Letters of recommendation are also a crucial component of the application process, with multiple references being encouraged.

The deadline for applications for the Fall intake is set for March 31, 2025, so prospective students are urged to prepare their applications well in advance. With its prestigious reputation and comprehensive offerings, the Master of Science in Computer Science program at the University of Edinburgh is an outstanding choice for those looking to excel in the rapidly evolving field of artificial intelligence.

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Total Tuition Fees

$40,900

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Duration

12 Months

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Median Salary

$55,000

Ranking

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#27

QS World University Rankings

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Intake

Fall ( Sept - Nov )

Class Profile

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Class Size

50

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Average Age

27

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Average Work Experience

3 Years

Diversity

North America:

5%

Africa:

2%

Others:

6%

UK:

60%

Asia:

10%

South America:

2%

EU:

15%

Career Outcomes

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Median Earnings After Graduation

$55,000 / year

Prospective Job Roles

Software Engineer

Software Architect

Security Software Engineer

Application Developer

Software Developer

Senior Software Engineer

IT Software Engineer

Web Developer

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • IELTS

    7

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  • TOEFL

    100

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  • PTE

    70

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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.

    • intake

      Passport

    • intake

      Resume

    • intake

      TOEFL

    • intake

      IELTS

    • intake

      PTE

    • intake

      Personal Statement

      224

    • intake

      General LOR

    • intake

      General LOR

    • intake

      General LOR

    Application Deadlines

    Standard Deadline
    FallMar 31, 2025

    Fees and Funding

    intake

    Tuition Fees

    $40,900 / year

    intake

    Overall Cost

    $51,700 / year

    Funding Options

    Department Funding

    Scholarships

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      Edinburgh Global Scholarships

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      Edinburgh International Scholarships

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      The Edinburgh Global Scholarships

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      The University of Edinburgh International Scholarships

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      Royal Society of Edinburgh Scholarship

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      Edinburgh Global Excellence Scholarships

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      The Edinburgh Scholarship Trust

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      The Edinburgh International Scholarships

    FAQs

    • To apply for the Master of Science in Computer Science program, prospective students must fulfill several requirements:

      • A valid passport
      • A detailed resume
      • Language proficiency test scores:
        • IELTS with a minimum overall score of 7.0
        • TOEFL with a minimum score of 100
      • A personal statement of approximately 500 words, outlining the applicant's academic background and motivation for pursuing this degree
      • Letters of recommendation, with multiple references encouraged
    • The Master of Science in Computer Science program spans a duration of 12 months and is designed to provide a comprehensive learning experience. The structure includes:

      • A mix of core modules such as:
        • AI Fundamentals
        • Data Science
        • Advanced Machine Learning
      • Elective courses that allow students to tailor their studies according to their interests and career aspirations
      • Industry-relevant project work and collaborative research initiatives
      • A capstone project at the end of the program, where students apply their knowledge to real-world challenges
    • The teaching methodology in the Master of Science in Computer Science program emphasizes hands-on learning and collaborative projects. Faculty members, who are esteemed academics and practitioners, actively engage students in:

      • Groundbreaking research discussions
      • Industry-relevant projects
      • Collaborative initiatives that foster teamwork and practical application of knowledge

      This approach helps create an environment where students can thrive and be well-prepared for their future careers.

    • There are several unique features of the Master of Science in Computer Science program at the University of Edinburgh:

      • Strong ties with industry leaders, providing practical insights and experience
      • Opportunities for internships, hackathons, and guest lectures by industry professionals
      • Access to state-of-the-art facilities and resources for hands-on learning
      • Comprehensive curriculum that integrates theoretical knowledge with practical application
      • Extensive research opportunities at leading research centers focused on AI and machine learning
    • Graduates of the Master of Science in Computer Science program have exceptionally promising career outcomes. With the increasing demand for skilled professionals in artificial intelligence, graduates are well-positioned for various roles across multiple sectors. Potential job roles include:

      • Software Engineer
      • Software Architect
      • Security Software Engineer
      • Application Developer

      The average starting salary for graduates is around £35,000, with median salaries reaching up to £55,000 as they advance in their careers.

    • Students enrolled in the Master of Science in Computer Science program can expect several highlights, including:

      • Renowned faculty with extensive expertise in artificial intelligence
      • A diverse, international student body that fosters a rich learning environment
      • Robust industry connections facilitating internship and employment opportunities
      • Access to state-of-the-art facilities for hands-on learning
      • A comprehensive curriculum combining theoretical knowledge with practical application
      • A strong focus on research with numerous opportunities to engage in innovative projects
      • A supportive academic environment dedicated to students' success
    • The program prepares students for real-world challenges through:

      • Industry-relevant project work that applies theoretical knowledge to practical scenarios
      • The capstone project, where students address real-world challenges and showcase their skills to potential employers
      • Collaboration with industry leaders, providing insights into current trends and technologies
      • Opportunities to participate in internships and hackathons, enhancing practical experience

      These elements collectively equip students with the skills and knowledge needed to thrive in the competitive job market.

    • The deadline for applications for the Fall intake is set for March 31, 2025. Prospective students are encouraged to prepare their applications well in advance to ensure they submit all required materials on time.

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