MSc Accounting and financial Management
The MSc Accounting and Financial Management course at Royal Holloway University of Lond...
BSc (Hons) Computer Science (Artificial Intelligence)
Main Campus
INTAKE: September
Program Overview
The BSc (Hons) Computer Science (Artificial Intelligence) program at Royal Holloway University of London is designed to provide students with a deep understanding of artificial intelligence (AI) and its applications across various domains. This program equips students with the theoretical knowledge and practical skills necessary to develop AI systems, algorithms, and applications that can learn, reason, and adapt. Through a combination of core computer science modules and specialized AI courses, students explore topics such as machine learning, neural networks, natural language processing, robotics, and ethical considerations in AI. The program emphasizes hands-on projects, industry collaborations, and interdisciplinary approaches, preparing students for careers at the forefront of AI innovation.
Curriculum: The curriculum of the BSc (Hons) Computer Science (Artificial Intelligence) program is tailored to provide students with a comprehensive understanding of AI technologies and methodologies. Core computer science modules cover essential topics such as programming, algorithms, data structures, and computer architecture. Specialized AI courses delve into advanced topics including machine learning algorithms, deep learning techniques, reinforcement learning, and AI ethics. Students also have the opportunity to undertake practical projects and research modules, applying AI techniques to real-world problems in areas such as healthcare, finance, autonomous systems, and natural language processing. Elective modules allow students to further explore specific areas of interest within AI, such as computer vision or AI for robotics.
Research Focus: Royal Holloway University has a strong research focus in artificial intelligence, with faculty members conducting cutting-edge research in areas such as machine learning, natural language processing, computer vision, and robotics. Students in the BSc (Hons) Computer Science (Artificial Intelligence) program have the opportunity to engage in research activities, working alongside faculty members on research projects, contributing to academic publications, and presenting their findings at conferences. The research focus of the program enriches students' learning experiences, exposing them to the latest advancements in AI technology and fostering critical thinking and problem-solving skills.
Industry Engagement: The BSc (Hons) Computer Science (Artificial Intelligence) program emphasizes industry engagement, providing students with opportunities to collaborate with industry partners, participate in internships, and undertake industry-sponsored projects. The university has strong links with leading technology companies, startups, and research institutions, facilitating networking opportunities, guest lectures, and career events focused on AI and machine learning. Industry placements allow students to gain valuable work experience, develop practical skills, and build connections within the AI industry. Graduates of the program are well-prepared for careers in AI research, software development, data science, robotics, and other AI-related fields.
Global Perspective: The study of artificial intelligence inherently involves a global perspective, as AI technologies and applications transcend geographical boundaries and impact societies worldwide. The BSc (Hons) Computer Science (Artificial Intelligence) program at Royal Holloway University incorporates a global perspective into its curriculum, addressing ethical, social, and cultural considerations in AI development and deployment. Students engage with diverse perspectives and case studies from around the world, exploring the implications of AI technologies in different cultural contexts. The program also offers opportunities for international study exchanges, collaborative projects with students from different countries, and research collaborations with international partners, further enhancing students' global perspective and intercultural competence.
Location
Main Campus
Score
IELTS 6.5
Tuition Fee
£ 23200
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 5.5.
- TOEFL: A minimum overall score of 88, with at least 17 in Listening, Reading, Speaking, and Writing.
- PTE Academic: A minimum overall score of 61 with no individual score below 51.
- DET Requirement: A DET score of 115 is required.
- 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.
Royal Holloway, University of London offers a range of scholarships to support students in their academic pursuits. These scholarships are designed to recognize excellence and provide financial assistance to eligible students.
Founder's Scholarship: This is the most prestigious scholarship at Royal Holloway, awarded to undergraduate students who demonstrate exceptional academic achievement and potential. It covers full tuition fees and provides a generous annual stipend.
Royal Holloway Excellence Scholarship: This scholarship is awarded to undergraduate students based on their academic achievement and potential. It offers a £2,500 tuition fee waiver for each year of study.
International Excellence Scholarship: This scholarship is specifically for international undergraduate students. It provides a tuition fee reduction of £4,000 per year for the duration of the program.
Sports Scholarships: These scholarships are available to students who excel in sports and have the potential to represent the university at a high level. They provide support in the form of financial assistance and access to training facilities.
It's important to note that scholarship availability, eligibility criteria, and application deadlines may vary.
Graduates of the BSc (Hons) Computer Science (Artificial Intelligence) program at Royal Holloway University of London are well-equipped to pursue diverse and rewarding career paths in the rapidly growing field of artificial intelligence (AI).
AI Research Scientist/Engineer: Graduates can pursue careers as AI research scientists or engineers, where they work on developing new AI algorithms, models, and techniques. They may conduct research in areas such as machine learning, natural language processing, computer vision, or robotics, contributing to advancements in AI technology.
Machine Learning Engineer: With their expertise in machine learning algorithms and techniques, graduates can work as machine learning engineers, developing algorithms that enable computers to learn from data and make predictions or decisions. They may work in industries such as finance, healthcare, e-commerce, or autonomous systems.
Data Scientist/Analyst: Graduates can pursue careers as data scientists or analysts, leveraging their knowledge of AI and data analysis techniques to extract insights from large datasets. They may work in industries such as marketing, finance, healthcare, or cybersecurity, helping organizations make data-driven decisions and develop predictive models.
AI Ethics Consultant: Given the increasing importance of ethical considerations in AI development and deployment, graduates may work as AI ethics consultants, advising organizations on ethical AI practices, regulations, and policies. They may help organizations navigate ethical dilemmas related to bias, privacy, transparency, and accountability in AI systems.
AI Product Manager: Graduates can work as AI product managers, overseeing the development and deployment of AI-powered products or services. They work closely with cross-functional teams, including engineers, designers, and marketers, to define product requirements, prioritize features, and drive product strategy.
Robotics Engineer: Graduates interested in robotics can pursue careers as robotics engineers, designing and developing autonomous systems, robots, or drones. They may work in industries such as manufacturing, healthcare, transportation, or defense, developing robotic solutions for various applications.
AI Software Developer: Graduates can work as AI software developers, building and implementing AI algorithms and models into software applications or systems. They may work for software companies, startups, or AI consulting firms, developing AI-powered solutions for clients or end-users.
AI Consultant: Graduates may work as AI consultants, providing strategic advice and technical expertise to businesses on implementing AI technologies and solutions. They may help organizations identify AI opportunities, develop AI strategies, and integrate AI into their business processes or products.
AI Entrepreneur: Graduates with an entrepreneurial mindset can start their own AI companies or startups, developing innovative AI products, services, or solutions to address market needs or challenges. They may leverage their technical skills, creativity, and business acumen to build successful ventures in the AI industry.
AI Educator/Trainer: Graduates interested in education can work as AI educators or trainers, teaching AI concepts, algorithms, and techniques to students, professionals, or organizations. They may work as instructors, trainers, or curriculum developers for educational institutions, training programs, or online platforms offering AI courses.
