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QS Rank:

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108

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University of Nottingham

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Nottingham

United Kingdom

The Master of Science in Computer Science (Artificial Intelligence) program at the University of Nottingham is a comprehensive and cutting-edge academic journey designed to equip students with the skills and knowledge necessary to excel in the rapidly evolving field of computer science, particularly in the realm of artificial intelligence. This program delves into the complexities of algorithms, data structures, and machine learning techniques that are at the forefront of technological innovation. The curriculum is carefully crafted to provide a solid foundation in both theoretical concepts and practical applications, allowing students to tackle real-world challenges and contribute meaningfully to the industry.

Over the course of 12 months, students will engage in a variety of coursework and research projects that emphasize critical thinking, problem-solving, and creativity. Core subjects include topics like programming languages, algorithms, distributed systems, and data mining, which are essential for anyone looking to make their mark in the tech industry. This program not only focuses on the technical aspects of computer science but also integrates ethical considerations of artificial intelligence, ensuring that graduates are aware of the societal impact their work may have.

Students will benefit from a dynamic learning environment under the guidance of experienced faculty members who are leaders in their respective fields. The faculty at the University of Nottingham brings a wealth of knowledge and expertise, often incorporating their research into lectures, thus providing students with insights into the latest advancements in technology. This exposure helps to create a stimulating educational atmosphere where students are encouraged to explore and innovate.

The program also places a strong emphasis on research opportunities. Students have access to state-of-the-art laboratories and resources that facilitate hands-on learning and experimentation. They can participate in various research projects, potentially collaborating with industry partners and gaining invaluable practical experiences. Such opportunities not only enhance learning but also help students build their professional networks, positioning them favorably for future employment.

One of the standout features of the Master of Science in Computer Science program is its robust connections to the industry. The University of Nottingham has established partnerships with leading tech companies, providing students with avenues for internships and real-world experiences. These connections enable students to apply their knowledge in practical settings, enhancing their employability upon graduation. Furthermore, the program's focus on artificial intelligence is particularly timely, as businesses across sectors increasingly seek professionals who can harness AI to drive innovation.

Program Curriculum and Specific Courses

The curriculum of the Master of Science in Computer Science (Artificial Intelligence) is designed to prepare students for a successful career in computer science. A combination of core and elective courses will allow students to tailor their education to their specific interests and career goals. Below are some of the key subjects included in the program:

  • Artificial Intelligence Fundamentals
  • Machine Learning and Data Analytics
  • Software Development and Engineering
  • Human-Computer Interaction
  • Natural Language Processing
  • Robotics and Autonomous Systems
  • Cloud Computing and Big Data
  • Ethics in Artificial Intelligence

This diverse curriculum equips students with a balanced skill set that is highly sought after in the job market.

Faculty Expertise and Teaching Methodology

The faculty at the University of Nottingham comprises experienced educators and researchers who are dedicated to student success. Their teaching methodologies emphasize interactive learning, critical discussion, and collaborative projects, which are essential in fostering a deep understanding of complex concepts. Faculty members often integrate their ongoing research into the classroom, allowing students exposure to the latest developments and technologies in computer science.

Research Opportunities and Resources

Students enrolled in the program will have access to numerous research facilities and resources, promoting an environment conducive to innovation. The university boasts advanced laboratories and computing facilities equipped with the latest technologies. Opportunities for engaging in groundbreaking research projects are abundant, and students are encouraged to present their findings at academic conferences—providing them with a platform to showcase their work to a global audience.

Industry Connections and Internship Possibilities

The University of Nottingham maintains strong relationships with leading companies in the technology sector, creating a plethora of internship opportunities for students. These partnerships provide students with the chance to apply their learning in real-world environments, gaining invaluable experience and enhancing their resumes. Additionally, the university's career services offer support in securing internships and job placements, ensuring that students are well-prepared for their future careers.

Career Pathways and Job Outcomes

Graduating from the Master of Science in Computer Science (Artificial Intelligence) program opens numerous career pathways. Alumni have successfully transitioned into roles such as:

  • Product Manager
  • Research Scientist
  • Software Engineer
  • Machine Learning Engineer
  • Entrepreneur
  • Data Analyst
  • Consultant
  • Artificial Intelligence Researcher

The median base salary for graduates is approximately £45,000, reflecting the high demand for professionals skilled in artificial intelligence and machine learning.

Alumni Success Stories and Testimonials

Many alumni from the University of Nottingham have gone on to achieve remarkable success in their careers. Testimonials from former students often highlight the program's rigorous curriculum, the supportive faculty, and the invaluable networking opportunities provided by the university. Alumni frequently credit their education as a pivotal factor in securing their current positions, attributing their expertise and confidence to the comprehensive training received during their studies.

Why Study Master of Science in Computer Science (Artificial Intelligence) at University of Nottingham
  • Industry-Focused Curriculum: Learn from a curriculum designed in collaboration with industry leaders to meet current job market demands.
  • Expert Faculty: Engage with faculty members who are not only educators but also active researchers and industry practitioners.
  • Research Opportunities: Participate in cutting-edge research projects that contribute to the field of artificial intelligence.
  • Robust Networking: Build connections with industry professionals through internships and networking events.
  • Diverse Career Paths: Prepare for a versatile career with opportunities in various sectors such as tech, health, education, and finance.
  • Global Perspective: Study in a diverse and multicultural environment with a significant international student population.

With a commitment to excellence in education and a strong focus on future career success, the Master of Science in Computer Science (Artificial Intelligence) program at the University of Nottingham is an ideal choice for aspiring tech professionals ready to explore the limitless possibilities of technology.

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Total Tuition Fees

$28,600

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Duration

12 Months

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Median Salary

$45,000

Ranking

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#142

US World and News Report

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#141

The World University Rankings

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#108

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

1 Years

Diversity

Others:

5%

North America:

10%

South America:

5%

Africa:

5%

Europe:

20%

Asia:

15%

UK:

40%

Career Outcomes

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Median Earnings After Graduation

$45,000 / year

Prospective Job Roles

Product Manager

Research Scientist

Software Engineer

Machine Learning Engineer

Entrepreneur

Software Developer

Data Analyst

Data Scientist

Consultant

Artificial Intelligence Researcher

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • IELTS

    6.5

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  • TOEFL

    90

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  • PTE

    71

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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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    Transcript

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    Academic LOR

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    Resume

Application Deadlines

Standard Deadline
FallAug 5, 2023

Fees and Funding

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Tuition Fees

$28,600 / 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 Nottingham 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 £5,000.
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    The University of Nottingham

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    The Royal Society

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    The British Computer Society

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    The Alan Turing Institute

FAQs

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

  • The deadline to submit an admission application for Computer Science (Artificial Intelligence) at University of Nottingham is Application deadline Fall (Standard Deadline) - date - 04/08/2023

  • The application fee to pursue Computer Science (Artificial Intelligence) at University of Nottingham is GBP 50 for international students.

  • The annual tuition fee to pursue Computer Science (Artificial Intelligence) at University of Nottingham is GBP 27200.

  • The submission of these scores mainly depends on the type of degree/ course selected at the University of Nottingham. 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 Nottingham 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 Nottingham, 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 Nottingham 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 Nottingham website to check the course/ degree duration.

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