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QS Rank:

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246

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University of Sussex

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East Sussex

United Kingdom

The Bachelor of Science (BSc Hons) in Computer Science and Artificial Intelligence at the University of Sussex represents a cutting-edge blend of theoretical knowledge and practical application in the field of Artificial Intelligence. This program is highly regarded for its comprehensive curriculum that meticulously combines core computer science principles with advanced AI methodologies. Students will embark on an intellectual journey that covers diverse topics such as machine learning, neural networks, data mining, and natural language processing, allowing them to explore the intricate ways in which computers can simulate intelligent behavior.

The curriculum is specifically designed to ensure that students not only gain foundational skills but also engage with advanced topics that prepare them for tomorrow's challenges in technology. Core courses include Programming Fundamentals, Data Structures, and Artificial Intelligence Techniques, while optional modules provide avenues for specialization in areas such as robotics, computer vision, and ethical implications of AI technologies. This blend of mandatory and elective coursework enables students to tailor their learning experiences based on their interests, equipping them with a diverse skill set that is highly coveted in the competitive job market.

Faculty expertise is a cornerstone of the learning experience at the University of Sussex. The program is delivered by a team of distinguished academics and experienced professionals who are active researchers in their fields. They utilize an innovative teaching methodology that combines lectures, tutorials, and hands-on laboratories, ensuring that students acquire both theoretical understanding and practical experience. This approach fosters critical thinking, collaborative learning, and the ability to tackle real-world problems, preparing graduates to excel in various roles within the tech industry.

Additionally, the University of Sussex emphasizes research opportunities and resources available to students. The state-of-the-art facilities include dedicated research labs and access to cutting-edge technologies that facilitate hands-on learning. Students are encouraged to participate in ongoing research projects, allowing them to contribute to advancements in AI while gaining valuable experience. The university’s strong industry connections also play a vital role in enhancing the educational experience. Collaborations with leading tech companies provide students with access to internship opportunities, networking events, and guest lectures, bridging the gap between academia and industry.

Upon graduation, students are well-prepared for diverse career pathways in the tech sector. Job outcomes for graduates of the BSc in Computer Science and Artificial Intelligence include positions such as Artificial Intelligence Engineer, Data Scientist, Machine Learning Engineer, and Software Developer. The program boasts an impressive median base salary of £38,000, reflecting the high demand for skilled professionals in this field. Notable companies such as Google, IBM, and Microsoft actively recruit graduates from Sussex, highlighting the program's reputation within the industry.

Alumni success stories further exemplify the program's effectiveness. Graduates have gone on to make significant contributions in their fields, with many holding influential positions in top tech firms. Testimonials from alumni frequently emphasize the value of the practical experience gained during the program and the lasting connections formed with peers and faculty. Such outcomes reinforce the program's commitment to fostering a robust educational environment that empowers students to thrive in their professional journeys.

In summary, the BSc (Hons) in Computer Science and Artificial Intelligence at the University of Sussex offers a rich, diverse educational experience that is well-aligned with the demands of the modern workforce. The combination of a rigorous curriculum, expert faculty, and extensive industry connections ensures that graduates emerge as competent and confident professionals, ready to tackle the challenges of the future.

Why Study Computer Science and Artificial Intelligence at University of Sussex?

  • Highly ranked program within the top 250 universities globally, ensuring a prestigious education.
  • Comprehensive hands-on learning experience through practical labs and real-world projects.
  • Expert faculty with industry experience who employ innovative teaching methods.
  • Strong emphasis on research, with access to cutting-edge technologies and facilities.
  • Extensive internship and work opportunities that provide students with invaluable practical experience.
  • Diverse career pathways in high-demand sectors, preparing graduates for future job markets.
  • Opportunities for scholarships based on merit and financial need, making education accessible.

The entry requirements for this program include a minimum of five GCSEs at grade C or above, including English Language and Mathematics, as well as at least two A-levels or equivalent at grade B or above, with Mathematics being a compulsory subject. Students who do not meet these requirements may still be considered for admission on a case-by-case basis. Additionally, proficiency in English is required, which can be demonstrated through standardized tests such as IELTS, TOEFL, or PTE.

Overall, the BSc (Hons) in Computer Science and Artificial Intelligence at the University of Sussex not only equips students with essential skills but also encourages them to think critically and innovatively. The program's integration of theoretical knowledge and practical application, coupled with the support from industry experts, positions graduates for successful careers in one of the most exciting and rapidly evolving fields in technology.

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Duration

36 Months

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Median Salary

$38,000

Ranking

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#175

US World and News Report

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#151

The World University Rankings

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#246

QS World University Rankings

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Intake

Fall ( Sept - Nov )

Class Profile

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Class Size

250

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Average Age

20

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Average Work Experience

0 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

$38,000 / year

Prospective Job Roles

Artificial Intelligence Engineer

Information Security Analyst

Research Scientist

Software Engineer

IT Security Specialist

Software Developer

Programmer

Database Administrator

Data Analyst

Network Engineer

Computer Scientist

Data Scientist

Business Analyst

Systems Analyst

Web Developer

IT Consultant

Cybersecurity Analyst

Machine Learning Engineer

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • IELTS

    6

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  • TOEFL

    80

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  • PTE

    59

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  • DUOLINGO

    120

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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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    Personal Statement

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    Academic LOR

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    Resume

Application Deadlines

Late
FallJun 30, 2023

Fees and Funding

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Tuition Fees

$23,175 / 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 Sussex offers a variety of scholarships and bursaries to help students from all backgrounds to study at the university. Scholarships are available for students who are from a disadvantaged background, have a disability, or are studying a subject that is under-represented at the university. The university also offers a number of scholarships for students who are studying Computer Science and Artificial Intelligence. These scholarships are awarded based on academic merit and financial need.
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    The Sussex International Scholarship

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    The Sussex Academic Excellence Scholarship

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    The Sussex Access Scholarship

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    The Sussex Disability Scholarship

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    The Sussex STEM Scholarship

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    The Sussex Women in STEM Scholarship

FAQs

  • A student can complete Computer Science and Artificial Intelligence at University of Sussex with in 36.
  • The deadline to submit an admission application for Computer Science and Artificial Intelligence at University of Sussex is Application deadline Fall (Late) - date - 30/06/2023
  • The application fee to pursue Computer Science and Artificial Intelligence at University of Sussex is GBP 22 for international students.
  • The annual tuition fee to pursue Computer Science and Artificial Intelligence at University of Sussex is GBP 23175.
  • The submission of these scores mainly depends on the type of degree/ course selected at the University of Sussex. 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 Sussex requirements before submitting a score.
  • Computer Science and 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 Sussex, they can easily pursue Computer Science and 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 Sussex 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 Sussex website to check the course/ degree duration.
  • One can apply for scholarships to pursue their international education at University of Sussex 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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