MSc Management (Human Resource Management)
Intake:- January & September Program Overview - MSc Mana...
Bay Campus
INTAKE: September
The BSc (Hons) Computer Science and Artificial Intelligence program at Swansea University offers students an innovative and interdisciplinary approach to studying computer science with a focus on artificial intelligence (AI). This program combines fundamental computer science principles with advanced topics in AI, machine learning, and data science. Students gain hands-on experience with cutting-edge technologies and develop the skills needed to design, implement, and evaluate intelligent systems. The program equips graduates with the expertise to pursue careers in areas such as AI development, data analysis, robotics, and computational neuroscience.
Curriculum: The curriculum of the BSc (Hons) Computer Science and Artificial Intelligence program covers a wide range of topics, including programming, algorithms, data structures, machine learning, neural networks, and natural language processing. Students learn how to develop software applications, analyze large datasets, and design intelligent systems that can learn from data and make decisions autonomously. The program includes practical projects, laboratory exercises, and group work, allowing students to apply theoretical knowledge to real-world problems and develop practical skills in programming, data analysis, and AI development.
Research Focus: Swansea University is a leading research institution in the field of computer science and artificial intelligence, with faculty members conducting cutting-edge research in areas such as machine learning, computer vision, natural language processing, and robotics. Students have the opportunity to engage in research projects, either through structured research modules, independent study, or collaboration with faculty members. These research experiences allow students to explore advanced topics, contribute to ongoing research initiatives, and gain insights into the latest advancements in AI and computer science.
Industry Engagement: Swansea University has strong connections with industry partners, technology companies, and research organizations, ensuring that the BSc (Hons) Computer Science and Artificial Intelligence program remains relevant and responsive to industry needs. Industry placements, guest lectures, and collaborative projects provide students with valuable insights into current trends, technologies, and challenges in the field of AI and computer science. The university's industry engagements facilitate opportunities for internships, industrial placements, and graduate employment, enabling students to gain practical experience and build connections within the technology industry.
Global Perspective: As a global institution, Swansea University emphasizes the importance of a global perspective in computer science education, including artificial intelligence. The BSc (Hons) Computer Science and Artificial Intelligence program exposes students to global challenges in AI research, applications, and ethics, as well as cultural diversity and international collaborations in scientific research. Study abroad opportunities, international research collaborations, and guest lectures by leading experts from around the world enrich students' learning experiences and prepare them to work in multicultural and international environments.
Bay Campus
IELTS 6
£ 17650
Undergraduate Entry Requirements
Academic Qualifications: Applicants should have successfully completed their secondary education with a minimum overall score of 70% or equivalent in their respective country's grading system.
English language proficiency:
Students must provide:
It is important to note that entry requirements may vary across different programs and courses. Additionally, meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as the number of available places and competition for certain courses.
Swansea University offers a variety of scholarships to support students in their academic journey. These scholarships aim to support students in pursuing their academic goals and experiencing the vibrant learning environment at Swansea University.
International Excellence Scholarships: Swansea University offers International Excellence Scholarships to outstanding international students who demonstrate exceptional academic achievement. These scholarships are available for both undergraduate and postgraduate programs. The value of the scholarship varies, but it can cover a significant portion of the tuition fees.
Eira Francis Davies Scholarship: The Eira Francis Davies Scholarship is specifically designed for female students from developing countries who wish to pursue a full-time undergraduate or postgraduate course at Swansea University. This scholarship aims to support female students in their academic journey and empower them to make a positive impact in their home countries.
Vice-Chancellor's Scholarships: The Vice-Chancellor's Scholarships are prestigious awards offered to international students who have demonstrated academic excellence and leadership potential. These scholarships provide financial support towards tuition fees and are available for both undergraduate and postgraduate programs.
Santander Scholarships: Swansea University has a partnership with Santander Bank to provide scholarships for international students. These scholarships are awarded based on academic merit and cover a portion of the tuition fees.
Sports Scholarships: Swansea University recognizes the achievements of talented athletes and offers Sports Scholarships to support them in balancing their academic and sporting commitments. These scholarships provide financial assistance, as well as access to training facilities and additional support services.
Graduates of the BSc (Hons) Computer Science and Artificial Intelligence program from Swansea University possess a unique blend of skills in computer science and artificial intelligence, making them highly sought-after in various industries. With the increasing demand for AI-driven solutions across sectors, graduates have a wide range of career opportunities available to them.
AI Engineer/Developer: Graduates can work as AI engineers or developers, designing, developing, and implementing AI-based solutions for businesses and organizations. They may work on projects such as natural language processing, machine learning algorithms, computer vision systems, or autonomous robots, using their expertise in AI techniques and programming languages.
Data Scientist/Analyst: Graduates can pursue careers as data scientists or analysts, analyzing large datasets to extract insights, trends, and patterns. They may work in industries such as finance, healthcare, e-commerce, or marketing, using AI and machine learning techniques to uncover valuable information and make data-driven decisions.
Machine Learning Engineer: Graduates can work as machine learning engineers, specializing in the development and deployment of machine learning models and algorithms. They may work on projects such as predictive modeling, recommendation systems, or anomaly detection, using their expertise in data analysis, statistical modeling, and algorithm optimization.
Robotics Engineer: Graduates can work in the field of robotics, designing and developing intelligent robots and autonomous systems. They may work on projects such as industrial robots, self-driving cars, or healthcare robots, applying AI techniques to enable robots to perceive their environment, make decisions, and interact with humans.
Software Developer/Engineer: Graduates can work as software developers or engineers, designing and building software applications and systems. They may work in various industries, including software development, web development, mobile app development, or video game development, using their programming skills and knowledge of AI techniques to create innovative solutions.
AI Researcher/Scientist: Graduates can pursue careers in AI research, working in academia, research institutions, or technology companies. They may conduct research on topics such as deep learning, reinforcement learning, or AI ethics, contributing to advancements in AI technology and theory.
Computer Vision Engineer: Graduates can specialize in computer vision, developing systems that enable computers to interpret and understand visual information from images or videos. They may work on projects such as object detection, image recognition, or facial recognition, applying AI techniques to analyze and process visual data.
Natural Language Processing (NLP) Specialist: Graduates can specialize in natural language processing (NLP), developing systems that enable computers to understand and generate human language. They may work on projects such as machine translation, sentiment analysis, or chatbots, using AI techniques to process and analyze text data.
AI Consultant: Graduates can work as AI consultants, providing expertise and advice to businesses and organizations on AI strategy, implementation, and deployment. They may work for consulting firms, technology companies, or as independent consultants, helping clients leverage AI to improve efficiency, innovation, and competitiveness.
Cybersecurity Specialist: Graduates can specialize in cybersecurity, applying AI techniques to detect and prevent cyber threats and attacks. They may work in industries such as cybersecurity firms, government agencies, or financial institutions, developing AI-based security solutions to protect sensitive information and systems.