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QS Rank:

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120

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Queen Mary University of London

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London

United Kingdom

The **MSc in Computer Science** program at **Queen Mary University of London** is expertly designed to equip students with cutting-edge skills essential for navigating the rapidly evolving tech landscape. This immersive 12-month program covers a broad spectrum of topics in computer science and mathematical foundations, ensuring that graduates are well-prepared for the challenges and opportunities in today’s digital economy. With a focus on both theoretical and practical aspects of the field, students will explore a variety of subjects that foster critical thinking, innovation, and problem-solving abilities, setting the stage for their future careers.

Throughout this comprehensive program, students engage with a carefully curated curriculum that includes a blend of core and elective courses. Key components of the program encompass essential areas such as **Programming Languages, Theory of Computation**, and **Data Mining and Machine Learning**. Additionally, the curriculum integrates advanced topics like **Cryptography and Computer Security** and **Distributed Systems**, ensuring that students gain a well-rounded expertise that is highly sought after in various industries. The strong emphasis on practical applications means that students will also have the opportunity to work on real-world projects and case studies, enhancing their learning experience.

The faculty at Queen Mary University is composed of distinguished scholars and industry practitioners who bring a wealth of knowledge and experience to the classroom. Their teaching methodology is centered around fostering an interactive and collaborative learning environment, where students can engage in discussions, group projects, and hands-on labs. This approach not only reinforces theoretical understanding but also enhances practical skills that are crucial for success in the tech industry. Faculty members are committed to supporting students throughout their educational journey, providing mentorship and guidance that promotes academic and career success.

Research opportunities play a vital role in the MSc in Computer Science program. Students have access to state-of-the-art facilities and resources that enable them to conduct meaningful research in various domains of computer science. The university is known for its cutting-edge research initiatives, and students are encouraged to participate in ongoing projects that align with their interests. This exposure not only enriches the academic experience but also establishes vital connections within the research community, paving the way for future collaborations and innovations.

One of the distinguishing features of the MSc in Computer Science at Queen Mary University is its strong industry connections. The program has established partnerships with leading technology companies and organizations, providing students with invaluable opportunities for internships and networking. These connections facilitate direct entry into the job market, allowing students to gain practical experience and insights into industry trends. Graduates are well-equipped to pursue a wide range of career pathways, including roles as **Software Engineers, Data Scientists, Cybersecurity Engineers**, and **Machine Learning Engineers**. The strong job placement support and comprehensive career services further enhance students’ prospects for successful employment.

In addition to the robust academic curriculum and faculty support, the program boasts impressive alumni success stories. Graduates of the MSc in Computer Science have gone on to achieve significant career milestones, working in prestigious organizations across various sectors. Their testimonials often highlight how the program’s rigorous training and experiential learning opportunities prepared them for the demands of the technology industry. Alumni frequently return to campus to share their insights and experiences, fostering a vibrant community that supports current students in their career aspirations.

As you consider the MSc in Computer Science at Queen Mary University of London, it’s essential to understand the requirements and prerequisites for admission. Prospective students must hold a relevant undergraduate degree, preferably in Computer Science or Mathematics, and submit a **Statement of Purpose**, **Curriculum Vitae**, and two **Letters of Recommendation** as part of the application process. Additionally, non-native English speakers are required to demonstrate proficiency through standardized tests such as **IELTS**, **TOEFL**, or **PTE**, with minimum score requirements set for each examination.

With a commitment to academic excellence and a forward-thinking approach, Queen Mary University of London offers a unique opportunity to study **Computer Science** in one of the world’s most vibrant cities. The university’s reputation for innovation, coupled with its strong industry ties, positions graduates for success in a competitive job market.

Why Study MSc in Computer Science at Queen Mary University?

  • Cutting-Edge Curriculum: Engage with a comprehensive curriculum that covers both fundamental principles and advanced topics in computer science.
  • Expert Faculty: Learn from distinguished scholars and industry practitioners who bring real-world experience into the classroom.
  • Research Opportunities: Access state-of-the-art facilities and participate in groundbreaking research projects that can shape your career.
  • Industry Connections: Benefit from strong partnerships with leading technology companies that facilitate internships and job placements.
  • Diverse Career Pathways: Prepare for a range of exciting roles in various sectors, from software development to data science and cybersecurity.
  • Alumni Network: Join a vibrant community of successful graduates who provide support, mentorship, and networking opportunities.
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Total Tuition Fees

$31,850

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Duration

12 Months

Ranking

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#110

US World and News Report

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#117

The World University Rankings

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#120

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

24

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Average Work Experience

2 Years

Diversity

North America:

2%

South America:

1%

Asia:

10%

EU:

12%

Others:

3%

Africa:

3%

UK:

68%

Career Outcomes

Prospective Job Roles

Computer Scientist

Software Engineer

Computer Engineer

IT Software Engineer

Cybersecurity Engineer

AI Engineer

Data Scientist

IT Consultant

Embedded Systems Engineer

Machine Learning Engineer

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • IELTS

    6.5

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  • PTE

    71

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  • TOEFL

    92

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Standardised Test Score

  • GRE

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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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      Curriculum Vitae

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      IELTS

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      TOEFL

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      PTE

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      Statement of Purpose

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      General LOR

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      General LOR

    Application Deadlines

    Standard Deadline
    FallSep 2, 2024

    Fees and Funding

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    Tuition Fees

    $31,850 / year

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    Overall Cost

    $44,850 / year

    Funding Options

    Department Funding

    Scholarships

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      Chevening Scholarships

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      The Commonwealth Scholarship

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