MSc Accounting, Accountability & Financial Management
The MSc in Accounting, Accountability & Financial Management at King’s Colleg...
BSc Artificial Intelligence with a Year in Industry
Strand, London
INTAKE: September
Program Overview
The BSc Artificial Intelligence with a Year in Industry is an undergraduate program that combines rigorous academic coursework with hands-on industry experience. Over the span of three years, students gain a comprehensive foundation in the core principles of AI, including algorithms, computational models, machine learning, robotics, and data analysis. The program’s design ensures that students are prepared for both the theoretical and practical aspects of AI and can apply their knowledge in real-world settings.
Curriculum: The curriculum of the BSc Artificial Intelligence with a Year in Industry focuses on key AI areas such as machine learning, robotics, computational intelligence, and cognitive computing. Students begin their studies with foundational courses in computer science, mathematics, and programming. As the program progresses, they delve into specialized topics like natural language processing, neural networks, data mining, and AI ethics. In the third year, students have the opportunity to apply their skills in an industry placement, which greatly enhances their employability. The program is structured to balance both technical and theoretical knowledge, making graduates versatile in the fast-evolving AI industry.
Research Focus: King’s College London is renowned for its research excellence in AI and related disciplines. The program emphasizes cutting-edge AI research, and students benefit from the university's strong ties to leading AI research centers and projects. Students have access to faculty members who are conducting pioneering research in areas like machine learning algorithms, AI applications in healthcare, robotics, and autonomous systems. These research initiatives offer students a chance to work alongside experts, contributing to the development of next-generation AI technologies.
Industry Engagement: One of the standout features of the BSc Artificial Intelligence with a Year in Industry program is the opportunity for students to gain practical experience during their year-long industry placement. This partnership with top companies and organizations in AI and technology ensures that students are exposed to real-world challenges, preparing them for careers in AI development and application. The industry placement allows students to collaborate with professionals, gain insight into cutting-edge AI applications, and enhance their problem-solving skills. King’s College London’s strong connections with the AI industry provide students with invaluable networking opportunities.
Global Perspective: King’s College London is known for its international outlook, with students and faculty from all over the world. The BSc Artificial Intelligence program is no exception, providing students with a global perspective on the evolving field of AI. Through collaborations with international partners, internships abroad, and exposure to global research trends, students are prepared to navigate the global AI landscape. The program’s diverse community and international industry partnerships also foster a rich learning environment where students can share ideas and gain different perspectives on AI’s impact across cultures and industries.
Location
Strand, London
Score
IELTS 6.5
Tuition Fee
£ 35800
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 90.
- PTE Academic: A minimum overall score of 70.
- Some programs may have specific subject prerequisites or additional requirements.
King’s College London is providing financial support to international students who demonstrate academic excellence and financial need. The university offers a variety of scholarships specifically designed to assist international students in covering tuition fees and living costs while studying in the United Kingdom. These scholarships help make higher education more accessible to students from diverse backgrounds and regions.
King’s College London Undergraduate International Scholarships: Undergraduate international students may be eligible for merit-based scholarships that provide financial assistance to help cover tuition fees. These scholarships are open to students from all over the world and are awarded based on academic performance, extracurricular achievements, and potential to succeed in their chosen program.
Dean’s Scholarships for International Students: Many departments at King’s College London offer Dean’s Scholarships for international students applying to specific programs. These scholarships are awarded based on academic merit and the student’s potential contribution to their field of study. They may provide partial or full funding for tuition fees and are typically available for high-achieving students who have an excellent academic record.
Country-Specific Scholarships: King’s College London offers country-specific scholarships for international students from specific regions or countries. These scholarships are designed to support students who demonstrate outstanding academic achievement and who are making a positive impact in their home country. Each scholarship may have its own eligibility criteria, including academic qualifications, nationality, and financial need.
King’s College London offers a dynamic and forward-thinking BSc Artificial Intelligence with a Year in Industry program, which equips students with the skills and knowledge necessary to thrive in the AI sector. With the integration of industry experience through a year-long placement, graduates are well-prepared for various career paths in the fast-growing field of artificial intelligence.
AI Researcher/Scientist: Graduates of the BSc Artificial Intelligence program can pursue careers as AI researchers or scientists, developing innovative algorithms and models that drive advancements in AI. These roles are typically found in academic institutions, research labs, or AI-focused companies.
Machine Learning Engineer: As machine learning continues to be a critical area of AI development, graduates often pursue roles as machine learning engineers. In this capacity, they design and implement machine learning models and systems that can learn from data, automating tasks across industries such as finance, healthcare, and tech.
Data Scientist: Data scientists use their knowledge of AI and statistical methods to analyze large datasets, uncover patterns, and derive insights that inform business strategies. This career is in high demand across sectors including finance, marketing, healthcare, and e-commerce.
AI Software Developer: Graduates can become AI software developers, specializing in creating applications that incorporate AI algorithms. These applications could range from intelligent automation tools to sophisticated systems used in industries like robotics, automotive, and smart technology.
Robotics Engineer: With a background in AI, graduates may opt for careers in robotics engineering, where they work on designing, building, and programming robots that can interact with the environment in intelligent ways. This includes applications in manufacturing, healthcare, and autonomous vehicles.
Natural Language Processing Engineer: For those interested in linguistics and computational models, a career in natural language processing (NLP) could be a strong fit. NLP engineers develop systems that enable machines to understand, interpret, and respond to human language in applications such as chatbots, voice assistants, and translation tools.
AI Consultant: Graduates with strong business acumen and AI expertise can take on consulting roles, where they advise companies on how to implement AI solutions to optimize operations, improve customer experiences, and increase efficiency.
AI Product Manager: As AI technology becomes more integrated into products and services, AI product managers are responsible for guiding the development of AI-driven products from conception to market launch, ensuring that they meet customer needs and industry standards.
Cybersecurity Analyst: AI can significantly enhance cybersecurity by detecting and mitigating threats in real-time. Graduates with an AI background can work as cybersecurity analysts, applying AI techniques to strengthen digital security frameworks in organizations.
Business Intelligence Analyst: By leveraging AI, business intelligence analysts help organizations make data-driven decisions. They use AI tools to analyze trends, customer behavior, and operational performance, helping businesses streamline processes and improve profitability.
