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The University of Lincoln, located in the heart of the historic city of Lincoln, offers...
BSc (Hons) Computer Science with Artificial Intelligence
Brayford Pool
INTAKE: September
Program Overview
The BSc (Hons) Computer Science with Artificial Intelligence program at the University of Lincoln, UK, offers students an in-depth exploration of computer science principles and techniques with a specialization in artificial intelligence (AI). This undergraduate degree equips students with the knowledge and skills necessary to design, develop, and implement intelligent systems and applications that simulate human-like cognitive functions.
Curriculum: The curriculum of the BSc (Hons) Computer Science with Artificial Intelligence program at the University of Lincoln is designed to provide students with a solid foundation in computer science fundamentals while focusing on advanced topics in artificial intelligence. Students study core modules in programming, algorithms, data structures, computer architecture, and software engineering, along with specialized courses in machine learning, neural networks, natural language processing, and robotics. Practical components of the curriculum include programming projects, AI laboratory exercises, and team-based projects, allowing students to apply theoretical concepts to real-world AI applications.
Research Focus: Research is a key component of the BSc (Hons) Computer Science with Artificial Intelligence program at the University of Lincoln. Students have the opportunity to engage in research projects exploring topics such as AI ethics, autonomous systems, deep learning, computer vision, and AI applications in various domains. Through research projects, students develop critical thinking skills, experimental design methodologies, and data analysis techniques relevant to AI research. The university's research centers and collaborations with industry partners provide students with access to cutting-edge AI technologies and opportunities for collaborative research.
Industry Engagement: The University of Lincoln fosters strong connections with industry partners in the technology sector, offering students valuable opportunities for industry engagement. Through guest lectures, industry workshops, and internships, students interact with professionals from leading technology companies, gaining insights into industry trends, best practices, and career opportunities. The university also collaborates with tech firms, startups, and research institutes to provide students with hands-on experience through industry placements, AI projects, and hackathons. These industry engagements enhance students' practical skills, professional networks, and employability in the competitive tech industry.
Global Perspective: The BSc (Hons) Computer Science with Artificial Intelligence program at the University of Lincoln emphasizes a global perspective on AI research and applications. Students learn about AI developments and innovations from around the world, exploring case studies and research projects from diverse cultural and geographical contexts. The university offers opportunities for international study exchanges, research collaborations, and participation in global AI initiatives, allowing students to gain cross-cultural experiences and contribute to the global advancement of AI technology. By fostering a global perspective, the program prepares graduates to work on AI projects with international teams and address complex challenges in a rapidly evolving global AI landscape.
Location
Brayford Pool
Score
IELTS 6
Tuition Fee
£ 17200
Undergraduate Entry Requirements
Academic Qualifications: Successful completion of High School Secondary Certificate/Standard XII from CBSE, CISCE, or Metro State Board with a commendable 60%.
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 79 on the TOEFL is accepted, with no sub-score in any section falling below 17.
- 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.
The University of Lincoln, fostering talent and academic achievement, provides a range of scholarships to support and encourage students in their pursuit of higher education. These scholarships, tailored to various criteria, aim to make quality education more accessible and reward outstanding accomplishments.
Merit-Based Scholarships: The university offers merit-based scholarships for exceptional academic achievements. High-achieving students with outstanding academic records are eligible for these awards, which can significantly alleviate the financial burden of tuition fees.
Subject-Specific Scholarships: Recognizing excellence in specific academic disciplines, the University of Lincoln provides subject-specific scholarships. These awards are designed to attract and support students passionate about particular fields, fostering expertise and innovation.
International Student Scholarships: The university values diversity and welcomes students from around the world. International students can benefit from specific scholarships tailored to their unique needs, encouraging a global community and enhancing cross-cultural learning experiences.
Undergraduate and Postgraduate Scholarships: Whether pursuing an undergraduate or postgraduate degree, students at the University of Lincoln have access to a range of scholarships. These awards reflect the institution's supporting education at various levels and stages.
Financial Need-Based Scholarships: Understanding the financial challenges some students face, the university provides need-based scholarships. These awards are aimed at supporting individuals who demonstrate financial need, ensuring that the opportunity for higher education is not limited by economic circumstances.
Community Engagement Scholarships: The University of Lincoln values community involvement and social responsibility. Community engagement scholarships recognize students who actively contribute to their communities, encouraging a sense of responsibility and leadership beyond academic pursuits.
Sports and Arts Scholarships:The university recognizes the importance of sports and the arts in holistic student development. Scholarships are available for talented athletes and artists, providing support for those who demonstrate exceptional skills and achievements in these areas.
Research Excellence Scholarships: Postgraduate students engaged in cutting-edge research can benefit from research excellence scholarships. These awards aim to attract and retain outstanding researchers, contributing to the university's reputation for impactful and innovative research.
Graduates of the BSc (Hons) Computer Science with Artificial Intelligence program from the University of Lincoln, UK, have a wide range of career opportunities in the rapidly growing field of artificial intelligence (AI) and computer science.
AI Engineer/Developer: AI engineers or developers specialize in designing, developing, and implementing AI systems and applications. They work with programming languages such as Python, Java, or C++ to build AI algorithms, machine learning models, and neural networks. AI engineers may develop AI-powered software for various industries, including healthcare, finance, e-commerce, and autonomous vehicles. They collaborate with multidisciplinary teams of data scientists, software engineers, and domain experts to create innovative AI solutions that address real-world challenges.
Machine Learning Engineer: Machine learning engineers focus on building and optimizing machine learning models and algorithms that enable computers to learn from data and make predictions or decisions. They work on tasks such as data preprocessing, feature engineering, model selection, and hyperparameter tuning to develop accurate and efficient machine learning systems. Machine learning engineers may specialize in areas such as computer vision, natural language processing, or reinforcement learning and work in industries such as healthcare, robotics, cybersecurity, and recommendation systems.
Data Scientist: Data scientists analyze large volumes of data to extract insights, patterns, and trends that inform decision-making and drive business outcomes. They use statistical analysis, data mining techniques, and machine learning algorithms to uncover actionable insights from structured and unstructured data sources. Data scientists may work on projects such as predictive modeling, customer segmentation, fraud detection, or sentiment analysis, collaborating with cross-functional teams to deliver data-driven solutions to complex problems.
AI Research Scientist: AI research scientists conduct research to advance the theoretical foundations and practical applications of artificial intelligence. They explore cutting-edge AI algorithms, methodologies, and technologies, seeking to push the boundaries of AI capabilities and address fundamental challenges in AI research. AI research scientists publish research papers, develop new algorithms, and participate in academic conferences and collaborations with industry partners to contribute to the global advancement of AI knowledge and innovation.
Robotics Engineer: Robotics engineers design, build, and deploy robotic systems and autonomous machines that perform tasks in various environments. They work on hardware design, sensor integration, motion planning, and control algorithms to develop robots for applications such as manufacturing, healthcare, agriculture, and space exploration. Robotics engineers may specialize in areas such as industrial robotics, mobile robotics, or human-robot interaction and collaborate with interdisciplinary teams to create safe and efficient robotic systems.
AI Ethicist: AI ethicists examine the ethical implications of AI technologies and advocate for responsible and ethical AI development and deployment. They address issues such as bias and fairness in AI algorithms, privacy concerns, transparency and accountability in AI systems, and the societal impact of AI on jobs and human well-being. AI ethicists work in research organizations, think tanks, policy institutes, and tech companies, advising stakeholders on ethical guidelines and best practices for AI governance and regulation.
Software Engineer: Software engineers design, develop, and maintain software applications and systems using programming languages and software development methodologies. They work on a wide range of projects, including web applications, mobile apps, enterprise software, and embedded systems. Software engineers may specialize in areas such as software architecture, software testing, or DevOps and collaborate with cross-functional teams to deliver high-quality software products that meet user needs and business requirements.
AI Product Manager: AI product managers oversee the development and commercialization of AI-powered products and services, from ideation to launch and beyond. They collaborate with stakeholders such as product designers, engineers, marketers, and customers to define product requirements, prioritize features, and create product roadmaps. AI product managers monitor market trends, gather user feedback, and iterate on product enhancements to drive product adoption and business growth in competitive markets.
