MA Design
The University of Lincoln, located in the heart of the historic city of Lincoln, offers...
MSc Intelligent Vision
Brayford Pool
INTAKE: September
Program Overview
The University of Lincoln offers an innovative Master of Science (MSc) in Intelligent Vision, designed to provide students with a deep understanding of cutting-edge technologies related to computer vision, artificial intelligence, and machine learning. This program is at the forefront of addressing the increasing demand for experts in the field of intelligent vision systems. Situated in a city known for its commitment to academic excellence, the MSc Intelligent Vision program at Lincoln focuses on the practical applications of intelligent vision across various industries. Students gain hands-on experience with state-of-the-art technologies and are prepared for careers at the intersection of computer vision and artificial intelligence.
Curriculum: The MSc Intelligent Vision curriculum at the University of Lincoln is meticulously designed to cover a wide range of topics essential for mastering intelligent vision systems. Core modules include computer vision fundamentals, machine learning techniques, image and video analysis, and the application of deep learning to visual data. Students delve into advanced topics such as object recognition, scene understanding, and the development of intelligent vision applications. The program places a strong emphasis on practical skills, incorporating lab work, project-based learning, and exposure to industry-standard tools and technologies. The curriculum is structured to equip students with the theoretical knowledge and hands-on experience necessary to thrive in the rapidly evolving field of intelligent vision.
Research Focus: The University of Lincoln fosters a strong research focus within the MSc Intelligent Vision program, encouraging students to engage with cutting-edge research projects in the realm of computer vision and artificial intelligence. The curriculum integrates research-oriented modules, enabling students to undertake independent research projects, contribute to ongoing research initiatives, and explore innovative solutions to real-world challenges. The research-led approach enhances students' critical thinking and analytical skills, preparing them to make significant contributions to the field of intelligent vision.
Industry Engagement: Recognizing the practical applications of intelligent vision technologies, the MSc program actively engages with industry partners, research institutions, and professionals in the field. Students benefit from guest lectures, industry seminars, and opportunities for internships or collaborative projects. The program's strong connections with the industry provide students with valuable insights into current practices, emerging trends, and the application of intelligent vision systems across diverse sectors. This industry engagement ensures that graduates are well-prepared to meet the demands of the professional landscape.
Global Perspective: The MSc Intelligent Vision program at the University of Lincoln embraces a global perspective, acknowledging the widespread impact of intelligent vision technologies across borders. The curriculum includes the study of global challenges and opportunities in the field, exposure to international case studies, and collaboration with peers from diverse backgrounds. Students have the opportunity to engage with global research initiatives, explore cross-cultural applications of intelligent vision, and develop a holistic understanding of the technology's implications on a global scale. The program's commitment to a global perspective equips graduates to contribute to the advancement of intelligent vision technologies in diverse international contexts.
Location
Brayford Pool
Score
IELTS 6.5
Tuition Fee
£ 17600
Postgraduate Entry Requirements
Academic Qualifications: Postgraduate applicants are expected to hold an honours degree with a standard of at least 55%-60%.
English Language Proficiency:
- IELTS: A minimum overall score of 6.5 or 7.0 with no individual component below 6.
- TOEFL: A minimum overall score of 79, with no band less than 17.
- PTE Academic: A minimum overall score of 65 with no individual score below 59.
- Some postgraduate 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.
Work experience: Some postgraduate courses may require relevant work experience in the field.
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.
Earning a Master of Science (MSc) in Intelligent Vision from the University of Lincoln opens up exciting and diverse career opportunities at the forefront of the rapidly evolving fields of computer vision, artificial intelligence, and machine learning. Graduates with expertise in intelligent vision systems are in high demand across various industries.
Computer Vision Engineer: Graduates can pursue roles as Computer Vision Engineers, designing and developing algorithms and systems for image and video analysis, object recognition, and scene understanding.
Machine Learning Specialist: Leveraging skills in machine learning, graduates can work as Machine Learning Specialists, focusing on the development and optimization of algorithms that enhance intelligent vision systems.
AI Research Scientist: Graduates can contribute to cutting-edge research as AI Research Scientists, exploring innovative solutions, and advancing the field of artificial intelligence applied to visual data.
Data Scientist - Vision Analytics: MSc Intelligent Vision graduates can work as Data Scientists specializing in vision analytics, extracting valuable insights and patterns from large datasets of visual information.
Computer Vision Software Developer: Graduates can become Computer Vision Software Developers, creating software solutions and applications that leverage intelligent vision technologies for various platforms.
Robotics Engineer: With expertise in intelligent vision, graduates can pursue roles as Robotics Engineers, contributing to the development of robots equipped with advanced visual perception capabilities.
Augmented Reality (AR) Developer: Graduates can specialize in augmented reality, working as AR Developers to create immersive experiences by integrating intelligent vision technologies into AR applications.
Autonomous Vehicles Engineer: With a focus on computer vision, graduates can contribute to the development of autonomous vehicles, working as engineers to enhance visual perception and decision-making systems.
Image Processing Scientist: Graduates can work in image processing, contributing as Image Processing Scientists to enhance the quality and analysis of visual data in various domains.
Biomedical Imaging Specialist: MSc Intelligent Vision graduates can apply their skills in the healthcare sector, working as Biomedical Imaging Specialists to improve medical imaging technologies and diagnostic processes.
Surveillance Systems Analyst: Graduates can specialize in security and surveillance, working as Surveillance Systems Analysts to design and optimize intelligent vision systems for security applications.
Product Manager - Computer Vision Solutions: With a combination of technical and managerial skills, graduates can become Product Managers, overseeing the development and launch of intelligent vision solutions in technology companies.
Digital Content Creator: Leveraging intelligent vision technologies, graduates can work in the creative industry as Digital Content Creators, producing visually immersive and engaging content.
Quality Assurance Engineer - Visual Technologies: Graduates can specialize in quality assurance, working as Quality Assurance Engineers to ensure the reliability and performance of visual technologies in various applications.
Academic Researcher/Ph.D. Candidate: MSc graduates can choose to pursue further academic research or enroll in Ph.D. programs to contribute to advancements in intelligent vision and train the next generation of researchers.
