BSc (Hons) Accounting & Finance
The BSc (Hons) Accounting & Finance course at Kingston University is designed to pr...
BSc (Hons) Computer Science and Artificial Intelligence
Penrhyn Road
INTAKE: September
Program Overview
Kingston University stands at the forefront of technological education with its innovative BSc (Hons) Computer Science and Artificial Intelligence program. This three-year undergraduate program is meticulously designed to provide students with a comprehensive education in both computer science fundamentals and cutting-edge artificial intelligence technologies. Nestled in the vibrant city of London, Kingston University offers an ideal setting for students to immerse themselves in the dynamic world of computer science and artificial intelligence.
Curriculum: The curriculum of the BSc (Hons) Computer Science and Artificial Intelligence program is thoughtfully structured to cover a broad spectrum of topics essential for understanding the synergy between computer science and artificial intelligence. Core courses include Programming, Algorithms, Data Structures, Machine Learning, and Neural Networks. The program emphasizes hands-on projects and practical applications, ensuring that students develop both theoretical knowledge and practical skills.
Research Focus: Kingston University fosters a culture of research, and the Computer Science and Artificial Intelligence program encourages students to engage in cutting-edge research activities. Faculty members actively contribute to research projects, providing students with opportunities to explore innovative solutions and advancements in artificial intelligence. The program's research focus ensures that students stay at the forefront of this rapidly evolving field.
Industry Engagement: The BSc (Hons) Computer Science and Artificial Intelligence program places a strong emphasis on industry engagement. Students benefit from guest lectures, workshops, and collaborative projects with leading professionals and organizations in the tech industry. Internship opportunities and industry partnerships enable students to gain real-world experience, ensuring that the program remains aligned with industry trends and demands.
Global Perspective: Recognizing the global nature of the tech industry, the program incorporates a global perspective into its curriculum. International case studies, collaborative projects, and exposure to diverse tech practices prepare students for careers in a globalized technological landscape. Kingston University encourages students to participate in international conferences, exchange programs, and engage with the global tech community.
Location
Penrhyn Road
Score
IELTS 6
Tuition Fee
£ 15800
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 70% or equivalent in their respective country's grading system.
English language proficiency:
- IELTS: A minimum overall score of 6.0 with no individual component below 5.5.
- TOEFL: A minimum overall score of 80, with at least 19 in Listening, Reading, Speaking, and Writing.
- PTE Academic: A minimum overall score of 59 with no individual score below 59.
- 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.
Work experience: Some postgraduate courses may require relevant work experience in the field.
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.
Kingston University is dedicated towards supporting talented and deserving students from around the world through a range of scholarships and financial aid programs. These scholarships aim to provide opportunities for academic excellence and promote diversity within the student community.
International Scholarship: Kingston University offers the International Scholarship for undergraduate students. This scholarship provides a tuition fee reduction of up to £4,000 for the first year of study. The scholarship is merit-based and available to international students with outstanding academic achievements.
Vice-Chancellor's Scholarships: The Vice-Chancellor's Scholarships are prestigious awards offered to exceptional international students. These scholarships provide a full tuition fee waiver for the duration of the undergraduate degree program. The selection criteria are based on academic excellence, personal achievements, and a strong positive impact on society.
International Foundation Year Scholarships: For international students entering the International Foundation Year program, Kingston University offers scholarships to support their transition into undergraduate studies. These scholarships provide a tuition fee reduction of £4,000 for the International Foundation Year program.
External Scholarships and Funding: Kingston University encourages students to explore external scholarships and funding opportunities. The university provides guidance and support in accessing external scholarships from various organizations and governments to supplement the financial assistance available.
The BSc (Hons) Computer Science and Artificial Intelligence program at Kingston University prepares graduates for a diverse range of exciting and in-demand career opportunities. With a strong foundation in both computer science fundamentals and cutting-edge artificial intelligence technologies, graduates emerge well-equipped for roles at the intersection of these dynamic fields.
Machine Learning Engineer: Graduates can pursue careers as machine learning engineers, specializing in developing algorithms and models that enable machines to learn and make decisions. They may work on projects ranging from natural language processing to image recognition, contributing to advancements in artificial intelligence.
Data Scientist: With expertise in both computer science and artificial intelligence, graduates can become data scientists. They analyze large datasets, extract meaningful insights, and apply machine learning techniques to solve complex problems. Data scientists are in high demand across various industries.
Artificial Intelligence Researcher: For those interested in pushing the boundaries of artificial intelligence, a career as a researcher is an option. Graduates can contribute to the development of new AI algorithms, explore innovative applications, and stay at the forefront of AI advancements.
Software Developer - AI Applications: Graduates can choose to become software developers specializing in AI applications. They design and create software that incorporates artificial intelligence technologies, contributing to the development of intelligent systems and applications.
Computer Vision Engineer: With a focus on visual perception and machine learning, graduates can pursue roles as computer vision engineers. They work on projects related to image and video analysis, enabling machines to interpret and understand visual information.
Natural Language Processing (NLP) Engineer: For those interested in language and communication, a career as an NLP engineer is viable. Graduates can work on projects related to understanding and processing human language, contributing to the development of language-centric AI applications.
Robotics Engineer: Graduates can explore careers in robotics, combining computer science and AI to design and develop intelligent robots. They may work on projects ranging from industrial automation to advanced robotic systems for healthcare or exploration.
AI Product Manager: For those with a strategic mindset, a career as an AI product manager is an option. Graduates can oversee the development and implementation of AI-powered products, ensuring alignment with market needs and business goals.
AI Ethics and Policy Analyst: With the growing importance of ethical considerations in AI, graduates can pursue roles as AI ethics and policy analysts. They assess the societal impact of AI technologies, contribute to ethical guidelines, and engage in discussions on responsible AI practices.
AI Consultant: Graduates can become AI consultants, providing expert advice to organizations on adopting and integrating AI technologies. This role may involve assessing business needs, recommending AI solutions, and guiding clients in leveraging AI for strategic advantage.
Cybersecurity Analyst - AI Security: Combining computer science and AI knowledge, graduates can specialize in AI security. They focus on securing AI systems from cyber threats, ensuring the integrity and reliability of machine learning models.
Augmented Reality (AR) and Virtual Reality (VR) Developer: With a background in computer science and AI, graduates can explore careers as AR and VR developers. They work on creating immersive experiences, incorporating AI to enhance virtual environments.
Quantum Computing Scientist: For those interested in cutting-edge technologies, a career in quantum computing is an option. Graduates can work on developing algorithms and applications for quantum computers, contributing to the future of computing.
