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The University of Bath offers a diverse range of programs across multiple disciplines, ...
BSc (Hons) Computer Science and Artificial Intelligence
Claverton Down
INTAKE: September
Program Overview
The BSc (Hons) Computer Science and Artificial Intelligence program at the University of Bath offers students a comprehensive education in both computer science fundamentals and cutting-edge artificial intelligence (AI) technologies. This interdisciplinary program equips students with the knowledge and skills to develop intelligent systems, machine learning algorithms, and autonomous agents. With a strong emphasis on practical applications and real-world projects, students learn to design, implement, and evaluate AI solutions for various domains, including robotics, healthcare, finance, and more.
Curriculum: The curriculum of the BSc (Hons) Computer Science and Artificial Intelligence program covers a wide range of topics, including programming languages, algorithms, data structures, machine learning, natural language processing, and robotics. Core modules provide students with a solid foundation in computer science principles, while specialized modules delve into advanced AI techniques such as deep learning, reinforcement learning, and computer vision. Students engage in hands-on projects, lab exercises, and group assignments, gaining practical experience in developing AI systems and algorithms.
Research Focus: The BSc (Hons) Computer Science and Artificial Intelligence program emphasizes research-led teaching and encourages students to explore AI technologies through independent study and research projects. Students have the opportunity to collaborate with faculty members on research initiatives, participate in AI seminars and workshops, or undertake internships with research labs and industry partners. Research projects may focus on areas such as AI ethics, human-computer interaction, autonomous systems, or AI for social good, allowing students to contribute to advancements in AI technology and applications.
Industry Engagement: The University of Bath has strong ties with industry partners in the technology sector, providing students with opportunities for industry engagement and professional development. Through internships, placements, or industry-sponsored projects, students gain practical experience in applying AI techniques to real-world problems in collaboration with leading companies and organizations. Industry engagements enable students to develop transferable skills, build professional networks, and gain insights into career pathways in AI research, development, and implementation.
Global Perspective: The BSc (Hons) Computer Science and Artificial Intelligence program offers students a global perspective on AI technologies and applications, preparing them to work in an increasingly interconnected and diverse world. Students have the opportunity to study alongside peers from different cultural backgrounds, collaborate on international research projects, or participate in study abroad programs at partner institutions. Exposure to global perspectives in AI research, development, and deployment enhances students' understanding of cross-cultural challenges and opportunities in shaping the future of AI on a global scale.
Location
Claverton Down
Score
IELTS 6.5
Tuition Fee
£ 26200
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 80 to 85% or equivalent in their respective country's grading system.
English Language Proficiency:
- IELTS: A minimum overall score of 6.5 or 7.0 with no individual component below 6.0.
- TOEFL: A minimum overall score of 100, with at least 24 in Listening, Reading, Speaking, and Writing.
- PTE: A minimum overall score of 69 with no individual score below 62.
- DET: The Duolingo English Test (DET) is accepted with a minimum score of 130.
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 Bath, UK, offers a range of scholarships and financial support options to international students. These scholarships are designed to help make education more accessible and affordable for students pursuing their studies at the university.
Chancellor's Scholarships: The Chancellor's Scholarships are among the most prestigious awards offered by the University of Bath. They are open to international undergraduate and postgraduate students who demonstrate outstanding academic achievements. These scholarships cover full or partial tuition fees and are highly competitive.
International Baccalaureate 50th Anniversary Scholarship: This scholarship is available to international students who have completed the International Baccalaureate (IB) Diploma program with exceptional results. It offers a financial award to support the student's undergraduate studies at Bath.
Chevening Scholarships: While not specific to the University of Bath, international students from eligible countries can apply for Chevening Scholarships, which cover the cost of studying in the UK, including tuition fees, living expenses, and more.
Commonwealth Scholarships: The university participates in the Commonwealth Scholarship program, which offers scholarships to students from Commonwealth countries to study in the UK.
Graduates of the BSc (Hons) Computer Science and Artificial Intelligence program at the University of Bath are well-equipped to pursue diverse and rewarding careers in the rapidly evolving fields of computer science and artificial intelligence (AI).
AI Engineer/Developer: Graduates can work as AI engineers or developers, designing, developing, and implementing AI-driven solutions for various industries such as healthcare, finance, e-commerce, and automotive. They develop machine learning models, natural language processing algorithms, and computer vision systems to automate processes, enhance decision-making, and create intelligent products and services.
Machine Learning Engineer: Graduates can pursue careers as machine learning engineers, focusing on developing and deploying machine learning algorithms and models. They work on tasks such as data preprocessing, feature engineering, model training, and model evaluation, applying techniques such as deep learning, reinforcement learning, and unsupervised learning to solve complex problems in areas like image recognition, speech recognition, and predictive analytics.
Data Scientist: Graduates can work as data scientists, extracting insights from large datasets using statistical analysis, data mining, and machine learning techniques. They analyze data to identify patterns, trends, and correlations, providing valuable insights and actionable recommendations to support business decisions, optimize processes, and drive innovation across various industries.
AI Researcher/Scientist: Graduates can pursue careers as AI researchers or scientists, conducting cutting-edge research in academia, research institutes, or industry R&D labs. They explore new algorithms, methodologies, and applications in artificial intelligence, advancing the state-of-the-art in areas such as deep learning, reinforcement learning, natural language processing, and robotics.
Robotics Engineer: Graduates can work as robotics engineers, designing, building, and programming robotic systems for applications in manufacturing, healthcare, logistics, and beyond. They develop algorithms for robot perception, motion planning, and control, enabling robots to navigate environments, manipulate objects, and interact with humans autonomously.
AI Ethicist/Policy Analyst: Graduates can specialize in AI ethics or policy analysis, examining the ethical implications and societal impacts of AI technologies and advocating for responsible AI development and deployment. They work with policymakers, industry stakeholders, and advocacy groups to shape regulations, standards, and guidelines for the responsible use of AI in areas such as privacy, fairness, transparency, and accountability.
Product Manager/Technical Product Manager: Graduates can pursue careers as product managers or technical product managers, overseeing the development and deployment of AI-powered products and services. They collaborate with cross-functional teams to define product requirements, prioritize features, and drive product strategy, ensuring alignment with market needs, technical feasibility, and business objectives.
Consultant/Advisor: Graduates can work as consultants or advisors, providing expertise in AI strategy, implementation, and optimization to organizations across various sectors. They assess organizational needs, identify AI opportunities, and develop tailored solutions to address challenges and achieve business goals, helping clients harness the power of AI to gain competitive advantage and drive innovation.
