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QS Rank:

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380

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University of Kent

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Kent

United Kingdom

The field of computer technology is fundamentally transformative, influencing virtually every aspect of modern society. From the devices we use daily, like smart phones and tablets, to the intricate networks that power our global communication systems, the impact of computing is profound. The Master of Science in Computer Science (Artificial Intelligence) program at the University of Kent is designed to equip aspiring professionals with the essential skills and knowledge needed to thrive in today’s rapidly changing digital landscape. This comprehensive program, offered by the esteemed Division of Computing, Engineering, and Mathematical Sciences, delves into various aspects of computer science, with a particular focus on artificial intelligence—a field that is reshaping industries and creating unprecedented opportunities.

This Master's program spans a duration of 12 months and culminates in a robust curriculum that integrates theoretical knowledge with practical applications. The courses are meticulously crafted to cover crucial topics such as Machine Learning, Data Mining, and Algorithms, ensuring that students develop both a solid foundational understanding and the necessary domain expertise. The program also encourages critical thinking and innovation, which are vital for addressing complex challenges in technology and business. Students will benefit from a blend of lectures, practical exercises, and collaborative projects that foster a deep understanding of both core and advanced computer science principles.

The core curriculum is designed to enhance technical proficiency while also emphasizing the importance of soft skills such as teamwork and problem-solving. Courses like Design and Analysis of Algorithms and Complexity Theory challenge students to think logically and abstractly, preparing them for real-world applications. The program also includes a significant research component, allowing students to engage with cutting-edge topics in artificial intelligence and contribute to the advancement of knowledge in the field. This valuable experience not only bolsters a student’s resume but also paves the way for potential contributions to academic research or industry innovations.

At the University of Kent, students are guided by a highly experienced faculty composed of leading experts in the field of computer science and artificial intelligence. The faculty's diverse backgrounds enable them to deliver a rich educational experience that goes beyond traditional teaching methodologies. They engage students through innovative teaching techniques, case studies, and industry partnerships. This interaction not only makes learning more engaging but also helps students stay ahead of current trends and technologies. Faculty members are also highly accessible, offering personalized mentorship and support to help students succeed both academically and professionally.

The Master of Science in Computer Science (Artificial Intelligence) program also places a strong emphasis on research opportunities. Students have access to state-of-the-art facilities and resources, including specialized laboratories and computing equipment. The university actively supports student research initiatives, encouraging participation in conferences and workshops that showcase student work. With a strong emphasis on collaboration, students often have the chance to work alongside faculty on research projects, allowing them to gain hands-on experience in tackling real-world problems while adding valuable credentials to their academic profile.

Why Study Master of Science in Computer Science (Artificial Intelligence) at University of Kent
  • Comprehensive Curriculum: The program covers cutting-edge topics in artificial intelligence and computer science, ensuring students are equipped with the latest knowledge and skills.
  • Expert Faculty: Learn from experienced faculty members who are leaders in their fields, providing mentorship and guidance throughout your studies.
  • Research Opportunities: Engage in meaningful research projects and gain practical experience that can lead to innovative solutions in technology.
  • Industry Connections: Benefit from the university's strong relationships with industry leaders, providing access to internship opportunities and networking events.
  • Career Pathways: Graduates are well-prepared for a variety of career paths in sectors such as technology, healthcare, finance, and education, with a median base salary of around £35,000.
  • Student Diversity: Join a vibrant community of students from diverse backgrounds, enriching the learning experience and fostering global perspectives.

Upon completion of the Master of Science in Computer Science (Artificial Intelligence), graduates are well-equipped to pursue a plethora of exciting career paths. Typical roles include Software Engineer, Data Scientist, Machine Learning Engineer, and Artificial Intelligence Researcher, among others. The program's focus on both practical and theoretical approaches ensures students are highly sought after by employers in various sectors, including technology, finance, healthcare, and more. With a robust job market and significant demand for skilled professionals in artificial intelligence, graduates can expect rewarding career opportunities and competitive salaries.

To apply for the program, candidates should meet certain eligibility requirements, including a relevant undergraduate degree, and must submit documents such as a transcript, resume, and academic letters of recommendation. Additionally, international students are required to demonstrate proficiency in English through accepted tests like the TOEFL or IELTS. The application deadline for the Fall intake is July 31st, 2023. Ensuring that all requirements are met will facilitate a smoother admission process, allowing prospective students to embark on their journey towards becoming leaders in the field of computer science.

In conclusion, the Master of Science in Computer Science (Artificial Intelligence) program at the University of Kent offers a distinguished educational experience that combines theoretical knowledge with practical application. With a commitment to fostering innovation and research, this program prepares students to excel in a competitive job market while contributing meaningfully to the advancement of technology. Join us at Kent and take the first step towards a rewarding career in computer science and artificial intelligence.

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Duration

12 Months

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Median Salary

$35,000

Ranking

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#351

The World University Rankings

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#380

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

25

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Average Work Experience

2 Years

Diversity

Africa:

1%

Others:

5%

Asia:

2%

North America:

3%

EU:

15%

UK:

70%

Rest of Europe:

5%

Career Outcomes

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Median Earnings After Graduation

$35,000 / year

Prospective Job Roles

Product Manager

Research Scientist

Software Engineer

Solutions Architect

Data Engineer

Machine Learning Engineer

Software Developer

Data Analyst

Computer Scientist

Data Scientist

Business Analyst

Systems Analyst

Project Manager

Data Architect

IT Consultant

DevOps Engineer

Technical Account Manager

Artificial Intelligence Researcher

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • TOEFL

    90

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  • IELTS

    6.5

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  • PTE

    62

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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

    Transcript

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    Academic LOR

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    Resume

Application Deadlines

Standard Deadline
FallJul 31, 2023

Fees and Funding

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Tuition Fees

$21,900 / 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 Kent offers a variety of scholarships for students studying MSc Computer Science (Artificial Intelligence). These scholarships are awarded based on academic merit, financial need, or a combination of both. The scholarships range in value from £500 to £10,000.
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    The University of Kent

FAQs

  • A student can complete Computer Science (Artificial Intelligence) at University of Kent with in 12.

  • The deadline to submit an admission application for Computer Science (Artificial Intelligence) at University of Kent is Application deadline Fall (Standard Deadline) - date - 31/07/2023

  • The annual tuition fee to pursue Computer Science (Artificial Intelligence) at University of Kent is GBP 21900.

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

  • Computer Science (Artificial Intelligence) 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 Kent, they can easily pursue Computer Science (Artificial Intelligence). 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 Kent 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 Kent website to check the course/ degree duration.

  • One can apply for scholarships to pursue their international education at University of Kent 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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