Master of Science in Artificial Intelligence
Awarded by London Metropolitan University (UK)
Overview
The Master of Science in Artificial Intelligence programme aims to equip you with a comprehensive framework of the technology by adding intelligence and learning capabilities to their products in Artificial Intelligence systems. The programme is specifically designed for those who want to play a part in transforming the relationship between people and technology, as well as those who want to be at the forefront of the current digital revolution that is spanning all sectors – from science and engineering to business and entertainment.
You will gain a practical understanding of the various aspects of security, including information, networks, and cyber security. You’ll learn how to conduct security analytics in an intelligent way, which is a growing AI field in the detection, identification, classification, prediction, and prevention of threats.
12 Months (Part Time)
Ranked 13th in London for Computer Science & Information Systems *
*The Guardian University League Tables 2021
Programme Structure
Structured around the work commitments and priorities of working professionals, the London Metropolitan University’s MSc in Artificial Intelligence comprises of 6 modules plus an MSc Project (Academic Dissertation).
This 1-year (part-time) Msc Artificial Intelligence is designed to provide a competitive edge with strong emphasis for a professional qualification in related areas, such as big data management, data analytics and cyber security.
Syllabus
This module introduces the essential principles, methods and techniques in AI. It covers a broad range of topics such as search, planning, logic, knowledge representation and machine learning.
This module provides students with an in-depth appreciation of the Internet of Things (IoT) and Cloud Computing concepts, models, infrastructures and capabilities. The module will place emphasis on modern system architecture and design, Autonomous Intelligent Systems (AIS), key wireless/mobile/sensor technologies, and issues of privacy and trust, in the development of Cloud-based IoT systems.
The module aims to strengthen students’ skills in data technologies ranging from database and data warehousing to Big Data. The module introduces also the foundation of Big data management based on Apache Hadoop platform and provides students with a broad introduction to Big Data technologies.
The module is concerned with the study and application of tools and techniques that enable the protection of information and other resources of enterprise information systems. The focus will also be on the analysis, design and implementation of tools and techniques that achieve the three goals of confidentiality, integrity and authenticity in security computing.
This module provides a comprehensive overview of the methods for machine learning and data analytics suitable for use in the data analysis and Big Data Analytics. It also provides practical skills for working with various tools for data analysis and Big Data Analytics inside and outside the platform such as Python.
This module provides the theoretical foundations, the technologies and the corresponding tools for constructing intelligent model-driven software systems with explicit representation of knowledge.
The module provides students with the experience of planning and bringing to fruition a major piece of individual work. Also, the module aims to encourage and reward individual inventiveness and application of effort through working on research or company/local government projects.
Assessment
You’ll be assessed with essays, practical reports, presentations, end-of-module examinations and an extended thesis.
Delivery Structure
Each module is delivered over two consecutive full weekends (Sat & Sun, 9am to 5.30pm) per month by qualified academia with extensive years of professional practice experience. You will learn through means of interactive lectures and group discussions / role plays.
| Sat | Sun | Mon - Fri | Sat | Sun |
|---|---|---|---|---|
| 9am to 5:30pm | 9am to 5:30pm | Revision Week | 9am to 5:30pm | 9am to 5:30pm |
Career
The MSc Artificial Intelligence qualification will provide you with increased career opportunities such as:
- AI Architect
- Business Intelligence Developer
- Big Data Engineer
- Data Scientist
- Machine Learning Engineer
Admission Criteria
Participants are expected to contribute to the class learning experiences in a cohort and peer learning environment. You will be assessed based on experience, aptitude, potential and skills.
A 2:2 UK degree (or equivalent) in computer or data science, computer, software or network engineering, computing or ICT, cyber security. Students with a 2:2 UK degree (or equivalent) that requires mathematics and computing skills, including mathematics, physics, chemistry, economics, business or finance may be considered on a case to case basis.
Mature candidates above 30 years with a minimum of 8 years working experience may be considered on a case to case basis.
Applicants are required to demonstrate the ability to study in English; IELTS 6.0 overall with 5.5 in each component or equivalent.
Fees
Please download the brochure or enquire with us at 9816 3261 for more information.
Enquiries
If you have any questions, please do not hesitate to contact us at 9816 3261.