MSc Accounting and Finance
The MSc Accounting and Finance program at the University of Greenwich is designed to pr...
BSc Hons Computer Science (Artificial Intelligence)
Greenwich Campus
INTAKE: September
Program Overview
The BSc Hons Computer Science (Artificial Intelligence) program at the University of Greenwich, UK, offers students an in-depth exploration of the rapidly evolving field of artificial intelligence (AI) within the context of computer science. This program is designed to provide students with a comprehensive understanding of AI principles, algorithms, and applications, preparing them for careers at the forefront of AI innovation in industries such as technology, healthcare, finance, and more.
Curriculum: The curriculum of the BSc Hons Computer Science (Artificial Intelligence) program is carefully structured to cover a broad range of topics relevant to AI and computer science. Students study core computer science subjects such as programming, data structures, algorithms, and software engineering, providing them with a strong foundation in computational thinking and problem-solving skills. Additionally, students delve into specialized AI topics such as machine learning, deep learning, natural language processing, computer vision, and robotics, gaining the technical skills and knowledge necessary to develop intelligent systems and applications.
Research Focus: Research is a key component of the BSc Hons Computer Science (Artificial Intelligence) program at the University of Greenwich. Students have the opportunity to engage in research projects under the guidance of experienced faculty members, exploring cutting-edge topics in AI and contributing to the advancement of knowledge in the field. Through research experiences, students develop critical thinking skills, analytical abilities, and creativity, preparing them for further study or careers in AI research, development, and innovation.
Industry Engagement: The University of Greenwich places a strong emphasis on industry engagement to ensure that its computer science students are well-prepared for the demands of the technology industry. Throughout the program, students have opportunities to interact with industry professionals through guest lectures, networking events, industry projects, and internships. These interactions provide students with valuable insights into current AI technologies, industry trends, and best practices, as well as the chance to develop professional networks and gain practical experience that enhances their employability upon graduation.
Global Perspective: The BSc Hons Computer Science (Artificial Intelligence) program at the University of Greenwich incorporates a global perspective to prepare students for the diverse and interconnected nature of the AI industry. Students explore global AI research initiatives, international collaborations, and cross-cultural applications of AI technologies. They also have the opportunity to study ethical, legal, and societal implications of AI on a global scale, gaining insights into the responsible development and deployment of AI systems in diverse cultural and geographical contexts. This global outlook equips students with the intercultural competence and global mindset necessary to succeed in the rapidly evolving field of AI.
Location
Greenwich Campus
Score
IELTS 6.5
Tuition Fee
£ 16150
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 or 6.5 with no individual component below 5.5.
- TOEFL: A minimum overall score of 87, with at least 17 in Listening, Reading, Speaking, and Writing.
- PTE Academic: A minimum overall score of 76 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.
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 Greenwich offers a range of scholarships and financial support options to assist students in their academic journey. These scholarships are designed to recognize academic excellence, support talented students, and provide financial assistance to those who need it.
Vice-Chancellor's Scholarship: This scholarship is available to high-achieving undergraduate and postgraduate students who demonstrate academic excellence. It provides a tuition fee discount of up to £5,000.
International Scholarship: The International Scholarship is aimed at international students applying for undergraduate or postgraduate programs at the University of Greenwich. It offers a tuition fee discount of up to £3,000.
Greenwich Scholarship Programme: The Greenwich Scholarship Programme is open to UK and EU undergraduate students from low-income backgrounds. It offers financial support in the form of bursaries and scholarships, with values ranging from £500 to £2,000 per year.
Sports Scholarships: The university provides Sports Scholarships to talented student-athletes who excel in their chosen sport. These scholarships offer a combination of financial support, access to training facilities, coaching, and other support services.
External Scholarships:The University of Greenwich provides information and support to students who wish to apply for external scholarships, grants, and funding opportunities offered by external organizations and foundations.
Graduates of the BSc Hons Computer Science (Artificial Intelligence) program from the University of Greenwich, UK, are well-positioned for exciting career opportunities at the forefront of artificial intelligence (AI) innovation. With their strong technical skills, specialized knowledge in AI, and problem-solving abilities, graduates can pursue diverse roles in various industries where AI technologies are transforming business processes, driving innovation, and shaping the future.
AI Engineer/Developer: One common career path for graduates is to become AI engineers or developers, responsible for designing, developing, and implementing AI-powered solutions and applications. AI engineers work in technology companies, research institutions, startups, and corporate innovation labs, leveraging machine learning algorithms, neural networks, and natural language processing techniques to create intelligent systems that automate tasks, analyze data, and generate insights.
Machine Learning Engineer: Graduates can pursue careers as machine learning engineers, specializing in developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Machine learning engineers work in industries such as healthcare, finance, e-commerce, and autonomous vehicles, applying machine learning techniques to solve complex problems such as image recognition, fraud detection, personalized recommendations, and autonomous navigation.
Data Scientist: Another career option for graduates is to become data scientists, who extract insights from large datasets using statistical analysis, data mining, and machine learning techniques. Data scientists work in various sectors, including healthcare, finance, retail, and marketing, analyzing data to uncover patterns, trends, and correlations that inform business decisions, optimize processes, and drive innovation.
AI Researcher: Graduates may choose to pursue careers as AI researchers, working in academia, research institutions, or industry research labs to advance the state-of-the-art in AI technologies. AI researchers explore new algorithms, methodologies, and applications of AI, pushing the boundaries of what is possible and contributing to breakthroughs in fields such as computer vision, natural language processing, robotics, and reinforcement learning.
AI Product Manager: Some graduates may opt to work as AI product managers, overseeing the development and deployment of AI-powered products and services. AI product managers work closely with cross-functional teams of engineers, designers, and business stakeholders to define product vision, prioritize features, and ensure alignment with market needs and user requirements. They play a strategic role in bringing AI innovations to market and driving product success.
