MSc Civil Engineering and Management
The MSc Civil Engineering and Management program at the University of Nottingham provid...
Jubilee Campus
INTAKE: September
The MSc Computer Science program provides students with a strong foundation in both theoretical and practical computer science. It covers a range of topics, from algorithm design and data structures to software engineering, computer systems, and programming languages. On the other hand, the MSc Computer Science (Artificial Intelligence) program provides a specialized focus on AI, where students can explore machine learning, deep learning, neural networks, natural language processing, and robotics. Both programs are designed to ensure that students acquire the skills needed to tackle complex computational problems, work in cutting-edge fields like AI and cybersecurity, and contribute to innovations in software development and systems engineering.
Curriculum: The curriculum for both MSc programs at the University of Nottingham is carefully structured to combine foundational computer science topics with hands-on practical experience. Core modules typically include Advanced Programming, Computer Systems, Data Structures and Algorithms, and Software Engineering Principles. For the MSc in Artificial Intelligence, students will take specialized courses such as Introduction to Artificial Intelligence, Machine Learning and Data Mining, Computer Vision, and Neural Networks and Deep Learning. Throughout the program, students will work on real-world projects and gain practical experience in solving complex computing challenges. Additionally, students can choose optional modules to tailor their learning toward specific areas of interest, such as Big Data Analytics, Cybersecurity, or Human-Computer Interaction.
Research Focus: Research in both MSc Computer Science programs at the University of Nottingham focuses on areas that are revolutionizing the tech industry, such as AI, machine learning, computer vision, robotics, and data science. The MSc Computer Science (Artificial Intelligence) program places a special emphasis on exploring how AI can be used to create intelligent systems, simulate human cognition, and automate complex processes. Research activities within these fields at Nottingham are supported by cutting-edge labs and facilities, providing students with access to advanced computational tools and techniques. The program encourages students to engage in research projects that focus on real-world applications of AI, such as autonomous systems, predictive modeling, and natural language processing.
Industry Engagement: The University of Nottingham boasts strong ties with leading technology companies, research institutions, and industry partners, providing students with numerous opportunities for internships, placements, and collaborative projects. Students in the MSc Computer Science and MSc Computer Science (Artificial Intelligence) programs have the chance to work alongside industry professionals on real-world problems, enhancing their skills and building their professional networks. These partnerships often lead to valuable industry exposure, giving students an edge in securing employment after graduation. The university also hosts networking events, hackathons, and guest lectures from top professionals in the computer science and AI fields, further enriching the student experience and facilitating industry connections.
Global Perspective: The MSc Computer Science and MSc Computer Science (Artificial Intelligence) programs at the University of Nottingham embrace a global perspective by preparing students to tackle worldwide challenges in the tech industry. The programs incorporate global case studies, encourage collaboration with international research groups, and highlight the role of computer science and AI in solving global issues such as healthcare, climate change, and technological inequality. Students are exposed to the latest global developments in AI and computer science through the university’s international research collaborations and opportunities for studying abroad. The program ensures that graduates are equipped with the skills and knowledge to thrive in the global tech industry, whether they are working for multinational corporations, startups, or in academic research.
Jubilee Campus
IELTS 6.5
£ 28600
Postgraduate Entry Requirements: For admission into postgraduate programs at the University of Nottingham, international students are generally required to meet the following criteria:
Academic Qualifications: Students should have completed a bachelor's degree or its equivalent with a minimum of 60% or above in their country's grading system. The specific entry requirements may vary depending on the chosen program of study. Some programs may have additional subject-specific requirements or prerequisite knowledge.
Students must provide:
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.
Scholarships for International Students at the University of Nottingham:
International Excellence Scholarship: The University of Nottingham offers the International Excellence Scholarship to high-achieving international students. This scholarship is merit-based and provides a tuition fee reduction of up to £4,000 for postgraduate students.
Developing Solutions Scholarships: The Developing Solutions Scholarships are targeted at students from developing countries. These scholarships cover full tuition fees and provide additional support for living expenses. The aim of these scholarships is to empower students from disadvantaged backgrounds and enable them to make a positive impact in their home countries.
Sports Scholarships: The university recognizes the importance of sports and offers Sports Scholarships to exceptional athletes. These scholarships provide financial support to talented sportsmen and sportswomen, helping them balance their sporting commitments with their academic studies.
Nottingham Global Scholarships: The Nottingham Global Scholarships are awarded to outstanding international students across various academic disciplines. These scholarships provide financial assistance in the form of a tuition fee reduction.
Research Scholarships: The University of Nottingham offers a range of scholarships specifically for international students pursuing research degrees (Ph.D. or MRes). These scholarships provide funding to cover tuition fees and living expenses, allowing students to focus on their research projects.
Country-Specific Scholarships: The university also offers scholarships specifically tailored to students from certain countries. These scholarships may be based on academic merit, leadership potential, or specific criteria defined by the sponsoring organizations or governments.
Alumni Scholarships: The University of Nottingham values its alumni and offers scholarships exclusively for students who have completed a previous degree at the university. These scholarships provide financial support for further studies at the university.
It's important to note that scholarship availability, eligibility criteria, and application deadlines may vary from year to year.
Graduates of both MSc Computer Science and MSc Computer Science (Artificial Intelligence) programs from the University of Nottingham are well-prepared to pursue diverse and impactful career paths.
Software Engineer: Graduates can work as software engineers, developing innovative software solutions for various industries.
Data Scientist: With strong computational skills, graduates can work as data scientists, analyzing large datasets to extract valuable insights.
AI/Machine Learning Engineer: Graduates of the AI program can specialize in AI and machine learning, contributing to the development of intelligent systems.
Cybersecurity Analyst: Graduates can work in the field of cybersecurity, ensuring the safety of digital systems and networks.
Researcher: Many graduates choose to pursue further academic research or research roles in industry, contributing to the advancement of computer science and AI.