MSc/PgDip Artificial Intelligence

at University of Salford

• The first modules cover core AI concepts like machine learning algorithms, neural networks, and intelligent agents. 
• Students then specialise in natural language processing, computer vision, robotics, and AI for games. 
• They get hands-on experience applying AI techniques using industry-standard tools and libraries throughout the course. 
• The programme also emphasises research methods and ethical implications of AI.
•  Students complete an individual dissertation project, developing and evaluating an AI system in their chosen domain.

Course Modules

• Big Data Tools and Techniques
• Applied Statistics and Data Mining
• Deep Learning
• Natural Language Processing
• MSc Project
• Machine Learning and Data Mining

Important Dates

Intake periods at the university are not uniform across programs and campuses. Individuals interested in attending should visit the university's official website or contact the admissions office to acquire the latest details on the 2024 intake periods. Although universities typically enrol students in the fall (September/October) and spring (January/February) semesters, confirming the particulars with the institution is essential.

• To be eligible, applicants must possess an undergraduate honours degree with at least a second-class lower division (2:2) or an equivalent qualification in computer science or a related field such as science, technology, engineering, or mathematics. Their previous coursework should have included programming components.
• For the IELTS Academic test, test-takers must target an aggregate score of 6.0, ensuring that they secure a minimum of 5.5 in each section.

The University of Salford costs between £ 17,040/yr to £ 19,040/yr  as tuition fees for the  MSc/Pgdip Artificial Intelligence programme. Regularly visiting and checking the university's website is necessary for students, as it allows them to stay informed about any potential changes or updates to the fees related to the programme.

Graduates of this AI programme are highly sought after by employers across many sectors looking to harness the power of artificial intelligence. They can pursue roles like AI engineer, machine learning scientist, data scientist, computer vision engineer, natural language processing specialist, and AI researcher. Potential workplaces include leading tech companies, consultancies, finance and banking firms, healthcare organisations, manufacturing industries, government agencies, and research institutions.