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MSc IT and Applied Security with Specialisation in Artificial Intelligence

2 Years

Why Study this course?

The MSc IT and Applied Security with specialisation in Artificial Intelligence (AI) is designed to help you become an expert and innovator in the growing field of AI. As industries around the world increasingly rely on AI, this programme gives you the knowledge and skills needed to succeed. You will study important topics like Neural Networks, Deep Learning, Natural Language Processing (NLP), and Computer Vision. You’ll also learn the basics of Machine Learning, which are essential for creating AI models.

The programme includes hands-on projects where you’ll work with industry leaders on real-world AI solutions. It also teaches you about the ethics of AI, ensuring you can create responsible and impactful technologies. The research-based approach prepares you for future studies or leadership roles in AI research and development. This programme is a great way to prepare for a career in a fast-growing field where you can lead and innovate in AI.

*The full course is delivered by Islington College in direct partnership with London Metropolitan University.

Entry Requirement

A complete bachelor’s degree with a minimum of 2.2 CGPA or equivalent. 

Students should have completed their higher secondary and previous higher education (e.g. bachelor’s degree) where the medium of instruction and assessment is in English.

MSc IT & Applied Security

Course Content

Semester 1

The module develops an understanding of project management issues in the context of software development – including the consideration of a standard method, software development frameworks, financial evaluation, planning, monitoring, control and team management – together with the ability to apply these as appropriate to a business case study.

This module aims to provide students with an appreciation of the benefits of Cybersecurity Management within a business environment and over cyber space. This includes the choice and application of appropriate risk assessment and risk control techniques, the understanding of security standards & procedures, coupled with the application of cybersecurity technology & security measures in a business setting.

Semester 2

This module provides students with knowledge of the fundamental principles and techniques employed in auditing and creating awareness of the need for security in computer, communication systems, appraises a security policy and network security posture.

This module helps to provide a firm understanding of Security Policy design and management. It also helps students to protect the infrastructure and network by using network security technologies such as firewalls, router security and discuss VPN and AAA (Authentication, Authorization and Accounting) implementation.

Semester 3

The module aims to provide students with the opportunity to gain work experience and explore career opportunities. It focuses on work related projects and helps to enhance their learning experience by implementing their academic skills to tackle real life problems in workplace.

The aim of this module is to provide students with the knowledge of preservation and extraction of relevant digital evidence from digital equipment, including computers, computer networks (including the cyber space/Internet), and other digital devices in appropriate procedures, tools and techniques. It further develops the students’ skills in using computers as a crime investigative tool.

Semester 4

The module aims to widen opportunities to stimulate the knowledge students gain in their course and extend knowledge to new area of application. It directs student to determine framework of the project according to a set of specifications relevant to the subject of study.

How this course will help the students
How this course will help the students

How this course will help
the students?

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Career Advancement
with our advanced curriculum that focuses on professional and personal growth, students are more apt with competition and taking their career forward.
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Higher Salaries
with our University partner in the London Metropolitan University as well as teaching methods students stand a higher chance of securing better job opportunities
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Be a part of top Companies
with our expansive alumni network and international degree as well as experience, students can stand abreast and compete in the top global organisations

Career Prospects

AI Solutions Architect | AI Engineer | Machine Learning Specialist | Computer Vision Developer

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