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
Coventry
INTAKE: Jan & Sept
Program Overview
Coventry University's BSc (Hons) Computer Science with Artificial Intelligence program offers students a comprehensive understanding of computer science principles and applications with a focus on artificial intelligence (AI) technologies. This undergraduate degree equips students with the knowledge and skills necessary to design, develop, and implement AI systems and applications across various domains. The program combines theoretical learning with practical experience, preparing students for careers in AI research, software development, data analysis, and more.
Curriculum: The curriculum of the BSc (Hons) Computer Science with Artificial Intelligence program covers a wide range of topics relevant to both computer science and AI. Core modules may 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 specialized topics such as deep learning, reinforcement learning, and AI ethics. Practical projects, lab sessions, and industry placements allow students to apply theoretical knowledge in real-world scenarios and develop practical skills in AI development and implementation.
Research Focus: Coventry University emphasizes a research-focused approach within the BSc (Hons) Computer Science with Artificial Intelligence program, encouraging students to engage with cutting-edge AI research and methodologies. Research-focused modules may explore topics such as AI algorithms, computational intelligence, AI applications in healthcare, finance, and other industries, 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 BSc (Hons) Computer Science with Artificial Intelligence program prioritizes industry engagement to ensure students are well-prepared for the dynamic and interdisciplinary nature of the field. Through partnerships with technology companies, research institutes, and AI startups, students gain access to internships, industrial placements, and networking opportunities. Industry engagement activities may also include guest lectures, seminars, and workshops led by AI experts, entrepreneurs, and industry practitioners, providing students with insights into current AI trends, applications, and best practices.
Global Perspective: Recognizing the global impact 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 program. Students explore AI initiatives, challenges, and regulatory frameworks across different countries and regions, gaining insights into the diverse socio-cultural, ethical, and legal considerations in AI development and adoption. International collaborations, study abroad programs, and cross-cultural projects further enhance students' understanding of global AI trends and their ability to work effectively in multicultural environments.
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 program have a wide array of career opportunities in the rapidly evolving field of artificial intelligence (AI) and computer science. Equipped with a strong foundation in computer science principles and specialized knowledge in AI technologies, graduates are well-positioned to pursue rewarding careers in various industries.
AI Software Developer: Graduates can work as AI software developers, designing, developing, and implementing AI-based solutions and applications. They utilize programming languages such as Python, Java, or C++ to create algorithms for machine learning, natural language processing, computer vision, and other AI domains. AI software developers collaborate with cross-functional teams to build innovative AI-driven products, services, and systems for businesses, healthcare, finance, automotive, and other sectors.
Machine Learning Engineer: Graduates may pursue careers as machine learning engineers, specializing in 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 engineers 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 Research Scientist: Graduates interested in advancing the field of AI may pursue careers as AI research scientists, 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 research scientists 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.
