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BEng/BSc (Hons) Computer Science with Artificial Intelligence
York
INTAKE: September
Program Overview
The BEng/BSc (Hons) Computer Science with Artificial Intelligence program at the University of York, UK, is designed to provide students with a comprehensive understanding of computer science principles and specialized knowledge in artificial intelligence (AI). It aims to equip students with the skills necessary to develop intelligent systems, machine learning algorithms, and AI applications across various domains.
Curriculum: The curriculum includes foundational computer science modules covering programming, algorithms, data structures, and software engineering. Additionally, specialized AI modules focus on machine learning, natural language processing, neural networks, and robotics. Students gain hands-on experience through practical projects and workshops.
Research Focus: The program emphasizes research-oriented learning, encouraging students to explore advanced AI concepts, undertake independent projects, and contribute to cutting-edge AI research. Students learn to analyze AI algorithms, develop innovative AI solutions, and address complex problems.
Industry Engagement: Students engage with industry partners through collaborative projects, internships, and guest lectures. Practical components of the curriculum simulate real-world AI applications, providing exposure to industry-standard tools and techniques, fostering collaboration with AI professionals.
Global Perspective: The program incorporates a global perspective by addressing AI advancements and challenges on a global scale. Students explore AI's impact worldwide, including ethical considerations and diverse applications in different cultural contexts.
Location
York
Score
IELTS 6.5
Tuition Fee
£ 26800
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 80% or equivalent in their respective country's grading system.
English Language Proficiency:
- IELTS: A minimum overall score of 6.5 with no individual component below 6.0.
- TOEFL: A minimum overall score of 87, with at least 21 in Listening, 21 in Reading, 21 in Speaking, and 21 in Writing.
- PTE Academic: A minimum overall score of 61 with no individual score below 55.
- Some programs may have specific subject prerequisites or additional requirements.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
The University of York, located in the UK, offers a range of scholarships to support their educational journey. These scholarships aim to recognize academic excellence, encourage cultural diversity, and provide financial assistance to deserving students.
Academic Excellence Scholarships: The University of York offers scholarships based on academic merit to outstanding international students applying for undergraduate or postgraduate programs. The scholarships provide financial support in the form of partial tuition fee reductions.
Vice-Chancellor's Scholarships: These prestigious scholarships are awarded to exceptional international students who demonstrate outstanding academic achievements and leadership potential. The scholarships cover full tuition fees and also provide a generous living stipend to support the students' living expenses during their studies.
Departmental Scholarships: Many departments within the University of York offer scholarships to international students within specific academic fields. These scholarships may cover partial or full tuition fees and are awarded based on academic excellence and potential within the chosen field.
Country-Specific Scholarships: The University of York provides scholarships specifically designed for students from certain countries or regions. These scholarships aim to promote diversity and international collaboration. Examples include the York Graduate Research School Scholarships for students from specific countries or regions.
External Scholarships: The University of York encourages international students to explore external scholarship opportunities provided by governments, organizations, or foundations in their home countries. The university provides guidance and support to students in identifying and applying for these external scholarships.
Graduates from the BEng/BSc (Hons) Computer Science with Artificial Intelligence program possess a unique blend of computer science expertise coupled with specialized knowledge in artificial intelligence. This diverse skill set enables them to pursue various career opportunities in the AI domain.
AI/Machine Learning Engineer: Professionals can work as AI or machine learning engineers, designing, developing, and deploying AI models and algorithms to solve complex problems.
Data Scientist/Analyst: Graduates can specialize in data science, analyzing and interpreting complex data sets to derive valuable insights and support business decisions.
Natural Language Processing (NLP) Specialist: Individuals can focus on NLP, working on language-related AI applications such as chatbots, language translation, and sentiment analysis.
Robotics Engineer: Professionals can work in robotics, developing AI-driven systems for automation, autonomous vehicles, or industrial applications.
AI Researcher/Scientist: Graduates can pursue roles in AI research, contributing to advancements in AI technology, exploring new algorithms, and developing innovative solutions.
AI Ethics Specialist: Individuals can specialize in AI ethics, ensuring responsible AI development and addressing ethical implications of AI technologies.
Machine Learning Consultant: Professionals can provide consultancy services, advising organizations on AI adoption, implementation, and optimization.
AI Product Manager: Graduates can work as product managers, overseeing the development and deployment of AI-based products and services.
Computer Vision Engineer: Professionals can focus on computer vision, developing algorithms for image and video analysis, facial recognition, and object detection.
AI Entrepreneur/Startup Founder: Graduates can establish their startups, leveraging AI technology to create innovative products or services in various industries.
AI Educator/Trainer: Professionals can contribute to education or training, imparting AI knowledge and skills to future AI professionals.
