London South Bank University - MSc APPLIED ARTIFICIAL INTELLIGENCE

London South Bank University

MSc APPLIED ARTIFICIAL INTELLIGENCE

Artificial Intelligence is becoming increasingly common in the modern world and there is a constant and sustained need for professionals who have the expertise and training needed to understand AI technologies and to use them responsibly. Additionally, from a societal perspective, it is crucial that citizens of the future have a basic understanding of AI concepts so that they can engage both effectively and critically with AI systems which are becoming a constant presence in our daily lives

To meet the growing need for AI, experts and AI-educated professionals this MSc in Applied Artificial Intelligence aims to convert graduates into AI specialists who are able to meet the demands of industry and society in AI, with particular emphasis on crucial areas such as smart manufacturing and industry 4.0, natural language processing and computer vision.

The course is uniquely designed for both graduates or practitioners from a computing and non-computing background, wishing to pursue a career in the development of machine learning and artificial intelligence solutions to practical problems and addresses the latest developments in machine learning and artificial intelligence through a rich series of seminars from experts in the field

Entry Requirements

  • 2:2 UK honors first degree or international equivalent in any subject

  • A GCSE Grade 4 in Mathematics or equivalent

  • A GCSE Grade 4 in English or equivalent

  • We welcome qualifications from around the world. English language qualifications for international students: IELTS score of 6.5.

Career Prospects

At LSBU, students have access to an Employability Service, an online board, Job Shop advisers, Careers Gym, and Student Enterprise team. This course will prepare them for a career in the business intelligence community, working with tools from major commercial vendors such as Microsoft and SAS. They should be able to work in roles such as a business intelligence specialist, data or business analyst or business intelligence developer.

Course Details

Course Modules

Foundations of calculus, statistics, and optimization
Python programming for AI and Visualization
Machine Learning
Deep Learning
Industrial Cyber-Physical Systems
Natural Language Processing
Computer Vision and Pattern Recognitio
Future Internet Technologies
Data Management
Data Mining and Analysis
Robotics
Ethics in AI and Seminars
Research Methods
Dissertation

*The information’s are correct at the time of publishing, however it may change if university makes any changes after we have published the information. While we try our best to provide correct information, It is advisable to call us or visit university website for up to date information.

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