BSc in (Hons)Computer Science (Artificial Intelligence) (with Placement)

The BSc (Hons) in Computer Science (Artificial Intelligence) program at the University of Hertfordshire offers students an in-depth exploration of artificial intelligence (AI) technologies and their applications. Over four years, including a placement year, students delve into the theoretical foundations of AI, machine learning, and robotics, while gaining practical experience in developing intelligent systems and algorithms. With a focus on cutting-edge technologies and real-world projects, graduates are well-prepared for careers at the forefront of AI innovation.

Curriculum: The curriculum of the BSc (Hons) Computer Science (Artificial Intelligence) program is carefully crafted to provide students with a comprehensive understanding of AI principles, techniques, and methodologies. Students study core modules such as machine learning, neural networks, natural language processing, and computer vision, gaining hands-on experience in AI programming languages and tools. Additionally, they have the opportunity to explore specialized topics such as deep learning, reinforcement learning, and AI ethics. Through a blend of lectures, seminars, and practical projects, students develop expertise in AI algorithms, data analysis, and problem-solving skills essential for building intelligent systems.

Research Focus: The University of Hertfordshire maintains a strong research focus within the field of artificial intelligence, with faculty members actively engaged in research projects that push the boundaries of AI technology. Research areas may include explainable AI, autonomous systems, human-robot interaction, and AI for healthcare. Students have the opportunity to participate in research activities, working alongside faculty mentors to explore emerging AI trends, develop innovative AI solutions, and contribute to research publications. This research-led approach enriches the learning experience and prepares students for careers in AI research, development, and innovation.

Industry Engagement: One of the key strengths of the BSc (Hons) Computer Science (Artificial Intelligence) program is its close ties to industry and collaborations with leading technology companies, AI startups, and research organizations. The University of Hertfordshire partners with industry leaders to provide students with opportunities for industry placements, internships, and collaborative projects. Through these partnerships, students gain practical experience, working on real-world AI projects, solving industry challenges, and developing professional networks. Industry placements enable students to gain valuable insights into AI applications across industries, enhance their employability, and transition smoothly into AI-related roles upon graduation.

Global Perspective: In an era of global AI innovation and collaboration, the BSc (Hons) Computer Science (Artificial Intelligence) program at the University of Hertfordshire promotes a global perspective on AI research, development, and applications. Students explore international case studies, best practices, and ethical considerations in AI deployment. Additionally, the university's diverse student body, international faculty, and partnerships with global AI research institutions provide students with opportunities to engage with different cultural perspectives and AI practices from around the world. By embracing a global outlook, graduates are prepared to work on international AI projects, collaborate with multidisciplinary teams, and address global challenges through AI-driven solutions.

Undergraduate Entry Requirements

Academic Qualifications: International students applying for undergraduate programs are typically required to have achieved a minimum overall score of 65% or above in their high school or secondary school qualifications. This may vary depending on the specific course or program.

English Language Proficiency:

• IELTS: A minimum overall score of 6.0 or 6.5 with no individual component below 5.5.
• TOEFL: A minimum score of 72, with a minimum of 17 in each component.
• PTE: A minimum overall score of 59, 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 Hertfordshire offers a range of scholarships and financial assistance programs to support international students in pursuing their education. These scholarships are designed to recognize academic excellence, encourage diversity, and provide opportunities for students who may face financial barriers.

Vice-Chancellor's Scholarship: This prestigious scholarship is awarded to exceptional international undergraduate and postgraduate students who demonstrate academic excellence. It provides a tuition fee discount of up to £4,000 for the duration of the course.

Regional Scholarships: The university offers several scholarships specifically for students from certain regions or countries. These scholarships vary in value and eligibility criteria, providing financial support to students from specific geographic areas.

Merit Scholarships: Merit-based scholarships are available for high-achieving international students. These scholarships recognize academic excellence and provide financial assistance towards tuition fees.

Sports Scholarships: The university encourages talented athletes to pursue their academic and sporting ambitions simultaneously. Sports scholarships are awarded to exceptional athletes who can demonstrate outstanding sporting achievements and commitment to their chosen sport.

Partnership Scholarships: The university has established partnerships with various organizations, institutions, and governments. Through these partnerships, international students may have access to specific scholarships and funding opportunities.

External Scholarships: The University of Hertfordshire also supports students in their search for external scholarships and funding sources. The dedicated scholarships team provides guidance and information on external scholarships that international students may be eligible to apply for.

It is important to note that each scholarship has specific eligibility criteria, application deadlines, and required documentation.

Graduating with a BSc (Hons) in Computer Science (Artificial Intelligence) from the University of Hertfordshire opens up a wealth of exciting career opportunities at the forefront of AI innovation. 

AI/Machine Learning Engineer: AI/Machine learning engineers design, develop, and implement AI algorithms and models to solve complex problems and automate tasks. They work on projects such as natural language processing, computer vision, and recommendation systems, leveraging machine learning techniques and tools. AI engineers collaborate with cross-functional teams to deploy AI solutions in various domains, including healthcare, finance, and autonomous vehicles.

Data Scientist: Data scientists analyze large datasets to extract actionable insights and support decision-making processes. They use statistical analysis, machine learning algorithms, and data visualization techniques to uncover patterns, trends, and correlations in data. Data scientists work for companies across industries, helping them leverage data-driven insights to improve products, services, and operations.

AI Research Scientist: AI research scientists conduct cutting-edge research in artificial intelligence, exploring new algorithms, techniques, and applications. They publish research papers, present findings at conferences, and contribute to advancing the field of AI. AI research scientists work for research institutions, universities, and tech companies, pushing the boundaries of AI innovation and developing breakthrough technologies.

Robotics Engineer: Robotics engineers design, build, and program robots and autonomous systems for various applications, such as manufacturing, healthcare, and exploration. They develop robotic systems that can perceive the environment, make decisions, and interact with humans and other machines. Robotics engineers work for robotics companies, research labs, and engineering firms, contributing to the development of next-generation robotic technologies.

AI Product Manager: AI product managers oversee the development and implementation of AI-driven products and services, from concept to launch. They work closely with cross-functional teams, including engineers, designers, and marketers, to define product requirements, prioritize features, and drive product strategy. AI product managers ensure that AI products meet user needs, market demands, and business objectives.

AI Ethics Consultant: AI ethics consultants advise organizations on ethical considerations and societal implications of AI technologies. They assess the ethical risks and impacts of AI applications, such as bias, privacy, and fairness, and develop ethical guidelines and policies to mitigate risks and ensure responsible AI deployment. AI ethics consultants work for consulting firms, research organizations, and technology companies, promoting ethical AI practices and principles.

AI Solutions Architect: AI solutions architects design and implement AI systems and architectures to address specific business challenges and opportunities. They assess client needs, identify AI use cases, and develop end-to-end solutions that leverage AI technologies effectively. AI solutions architects work with clients across industries, helping them harness the power of AI to drive innovation and competitive advantage.

AI Product Designer: AI product designers create user interfaces and experiences for AI-powered products and services. They design intuitive and user-friendly interfaces that enable users to interact with AI systems effectively. AI product designers conduct user research, create wireframes and prototypes, and collaborate with development teams to bring AI products to market.

AI Consultant: AI consultants provide strategic advice and technical expertise to help organizations adopt and implement AI technologies. They assess business needs, evaluate AI solutions, and develop roadmaps for AI implementation and integration. AI consultants work with clients across industries, helping them navigate the complexities of AI adoption and maximize the value of AI investments.

AI Entrepreneur: AI entrepreneurs start their own AI-focused ventures, leveraging AI technologies to address market needs and create innovative solutions. They develop AI-driven products, services, and platforms, securing funding, and building teams to bring their ideas to life. AI entrepreneurs work in various domains, such as healthcare, finance, and education, driving entrepreneurship and innovation in the AI space.