MSc Accounting and Financial Management
This course is designed for those seeking a higher level of education combined with the...
BSc (Hons) Computer Science with Artificial Intelligence (Sandwich)
Coventry
INTAKE: Jan & Sept
Program Overview
Coventry University's BSc (Hons) Computer Science with Artificial Intelligence (Sandwich) program provides students with a comprehensive understanding of computer science principles and specialized knowledge in artificial intelligence (AI). This undergraduate degree integrates theoretical learning with practical experience through a sandwich placement year, allowing students to gain valuable industry insights and hands-on experience in AI technologies. The program prepares students for careers in AI research, software development, data analysis, and more.
Curriculum: The curriculum of the BSc (Hons) Computer Science with Artificial Intelligence (Sandwich) program covers a wide range of topics in computer science and AI. Core modules include programming fundamentals, data structures and algorithms, database systems, machine learning, natural language processing, computer vision, and robotics. Students also have the opportunity to study advanced topics such as deep learning, reinforcement learning, and AI ethics. The sandwich placement year provides students with the opportunity to apply theoretical knowledge in real-world settings, further enhancing their practical skills and industry readiness.
Research Focus: Coventry University emphasizes a research-focused approach within the BSc (Hons) Computer Science with Artificial Intelligence (Sandwich) program, encouraging students to engage with cutting-edge AI research and methodologies. Research-focused modules may cover topics such as AI algorithms, computational intelligence, AI applications in various domains, and AI ethics and governance. Students may have the opportunity to participate in research projects, internships, or collaborative initiatives with industry partners, contributing to the advancement of AI knowledge and innovation.
Industry Engagement: The sandwich placement year is a key feature of the BSc (Hons) Computer Science with Artificial Intelligence (Sandwich) program, allowing students to engage directly with industry and gain practical experience in AI technologies. Students undertake a year-long placement with a company or organization, applying their skills in AI development, data analysis, software engineering, or research. Industry placements provide students with valuable insights into industry practices, challenges, and trends, helping them develop professional networks and enhance their employability upon graduation.
Global Perspective: Recognizing the global significance of AI technologies and the importance of cultural competence in AI development and deployment, Coventry University integrates a global perspective into the BSc (Hons) Computer Science with Artificial Intelligence (Sandwich) program. Students explore AI initiatives, regulations, and applications across different countries and regions, gaining insights into diverse socio-cultural, ethical, and legal considerations. The sandwich placement year may offer opportunities for students to undertake placements or projects abroad, further broadening their perspectives and enhancing their understanding of global AI trends.
Location
Coventry
Score
IELTS 6
Tuition Fee
£ 19850
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 60% 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 79, with at least 18 in Listening , Reading , Speaking, and Writing.
- PTE Academic: A minimum overall score of 65 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.
Coventry University offers a range of scholarships and bursaries to undergraduate international students, based on academic merit and financial need.
Future Global Leaders Scholarship: This scholarship is available for undergraduate and postgraduate students and covers up to 50% of the tuition fees. It is awarded based on academic excellence, extracurricular activities, and leadership skills.
Sports Scholarships: Coventry University offers sports scholarships to students who excel in their chosen sport. The scholarship covers financial support, coaching, and access to university sports facilities.
GREAT Scholarships: Coventry University is a partner of the GREAT Scholarship Scheme, which offers scholarships to students from selected countries. The scholarship covers up to £10,000 of tuition fees.
Coventry University Alumni Discount: Coventry University offers a 15% discount on the tuition fees for international students who have previously studied at the university.
It is important to note that eligibility criteria, application deadlines, and award amounts vary for each scholarship.
Graduates of Coventry University's BSc (Hons) Computer Science with Artificial Intelligence (Sandwich) program possess a diverse skill set that prepares them for various career opportunities in the rapidly growing field of artificial intelligence (AI) and computer science. With a combination of theoretical knowledge, practical experience gained during the sandwich placement year, and specialized skills in AI technologies, graduates are well-equipped to pursue rewarding careers in industry, research, and academia.
AI Software Engineer: Graduates can work as AI software engineers, responsible for designing, developing, and implementing AI-based solutions and applications. They utilize programming languages such as Python, Java, or C++ to create AI algorithms for machine learning, natural language processing, computer vision, and robotics. AI software engineers collaborate with cross-functional teams to build innovative AI-driven products and systems for businesses, healthcare, finance, automotive, and other sectors.
Machine Learning Specialist: Graduates may pursue careers as machine learning specialists, focusing on building and optimizing machine learning models and algorithms. They collect and preprocess data, select appropriate machine learning techniques, and train models using frameworks like TensorFlow, PyTorch, or scikit-learn. Machine learning specialists work on projects such as predictive analytics, recommendation systems, fraud detection, autonomous vehicles, and personalized healthcare, applying AI to solve real-world problems and improve decision-making processes.
Data Scientist: Graduates can work as data scientists, leveraging AI and statistical techniques to analyze large datasets and extract actionable insights. They apply data mining, data visualization, and predictive modeling techniques to identify patterns, trends, and correlations in data, informing business strategies, product development, and decision-making. Data scientists work across various industries, including e-commerce, marketing, finance, healthcare, and cybersecurity, helping organizations unlock the value of their data and drive innovation.
AI Researcher: Graduates interested in advancing the field of AI may pursue careers as AI researchers, conducting cutting-edge research to push the boundaries of AI technologies. They explore new algorithms, methodologies, and architectures to address challenges in AI, such as interpretability, scalability, and generalization. AI researchers publish papers, present findings at conferences, and collaborate with academia, industry, and government organizations to drive AI innovation and contribute to scientific knowledge.
AI Ethics Consultant: Graduates with an interest in the ethical implications of AI technologies may work as AI ethics consultants, advising organizations on responsible AI development, deployment, and governance. They assess potential biases, risks, and societal impacts of AI systems, ensuring ethical and fair treatment of individuals and communities. AI ethics consultants collaborate with interdisciplinary teams to develop AI policies, guidelines, and frameworks that uphold principles of transparency, accountability, privacy, and equity.
AI Product Manager: Graduates may pursue careers as AI product managers, overseeing the development and launch of AI-based products and services. They define product requirements, prioritize features, and collaborate with engineering, design, and marketing teams to bring AI solutions to market. AI product managers conduct market research, identify customer needs, and define product roadmaps, ensuring alignment with business goals and user expectations. They monitor product performance, gather feedback, and iterate on product enhancements to drive user engagement and satisfaction.
