MSc Management (Human Resource Management)
Intake:- January & September Program Overview - MSc Mana...
Bay Campus
INTAKE: September
The MSc Computer Science - Informatique program at Swansea University focuses on advanced topics in computer science and provides students with a deep understanding of various aspects of information technology.
Advanced Modules: The program offers advanced modules that cover specialized areas of computer science, including advanced algorithms, artificial intelligence, computer vision, data mining, and natural language processing. These modules delve into the complexities of computer science and enable students to develop advanced technical skills.
Research-Led Teaching: Swansea University is renowned for its research in computer science, and the MSc program benefits from this expertise. The program incorporates research-led teaching, allowing students to learn from faculty members who are actively involved in cutting-edge research projects. This ensures that students receive up-to-date knowledge and are exposed to the latest developments in the field.
Industry Collaboration: The university has strong connections with industry partners, and the MSc program emphasizes industry collaboration. Students have opportunities to work on industry-sponsored projects, participate in internships, or engage in industry-led research. This exposure to real-world industry challenges enhances students' practical skills and prepares them for the demands of the job market.
Specialization Options: The program offers various specialization options to cater to students' interests and career goals. Students can choose to specialize in areas such as machine learning, computer vision, data analytics, cybersecurity, or software engineering. This allows students to develop expertise in specific domains of computer science.
Hands-on Experience: The program incorporates practical components to provide students with hands-on experience in applying their knowledge to real-world scenarios. This may include programming assignments, software development projects, or data analysis tasks. Students gain practical skills that are valuable in professional settings.
State-of-the-Art Facilities: Swansea University provides state-of-the-art computing facilities, including dedicated computer labs and access to high-performance computing resources. These facilities support students in conducting complex computations, simulations, and data analysis required for their coursework and research projects.
Bay Campus
IELTS 6.5
£ 10050
Postgraduate Entry Requirements:
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.
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.
Graduates of the MSc Computer Science - Informatique program have excellent career prospects in the field of computer science.
Software Engineer/Developer: Graduates can pursue careers as software engineers or developers, working on the design, development, and maintenance of software applications and systems.
Data Scientist/Analyst: With advanced knowledge in data mining, analytics, and machine learning, graduates can work as data scientists or analysts, extracting insights from large datasets and developing data-driven solutions for businesses.
Research and Development: Graduates can pursue research and development roles in academia, research institutions, or industrial settings. They can contribute to advancing the field of computer science through innovative research and the development of new technologies.
Machine Learning Engineer: Those specializing in machine learning can work as machine learning engineers, developing and implementing machine learning models and algorithms for various applications such as image recognition, natural language processing, and recommendation systems.
Cybersecurity Specialist: Graduates with expertise in cybersecurity can pursue careers as cybersecurity specialists, focusing on protecting computer systems and networks from threats and ensuring data security.
IT Consultant: Graduates can work as IT consultants, providing expert advice to organizations on technology implementation, software solutions, and IT strategy.
Entrepreneurship: Graduates with an entrepreneurial mindset can start their own technology ventures, leveraging their knowledge in computer science to develop innovative software products or services.