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Master of Science in Intelligent Systems and Machine Learning

Anglia Ruskin University - Cambridge Campus

UK,England

0 Shortlist

12 Months

Duration

CAD 14,500/year

Tuition Fee

CAD 0 FREE

Application Fee

Apply Date

UK, England

Type: University

Location Type: Urban

Founded: 1858

Total Students: 40,000 +

Campus Detail

Main Campus Address

Anglia Ruskin University, East Rd, Cambridge CB1 1PT, United Kingdom

Overview
Key Facts
Fees & Funding
Admission Requirements
Additional Info
Scholarships
Student Visa
Work Permit

Master of Science in Intelligent Systems and Machine Learning

Program Overview

Enhance your knowledge and expertise in computer science or electronics, and address the challenges in industry where machine learning techniques are being used increasingly in a wide number of applications. This course is supported by Intel’s AI Academy through their online and data processing resources.

Artificial intelligence and machine learning is a growing industry worldwide. Societies are adapting to the new technology landscape, becoming more flexible and also inheriting an attitude of lifelong learning, collaboration, innovation and entrepreneurship.

Using a range of skills from data science, to programming and hardware architectures that allow suitable artificial intelligence solutions to be produced and implemented, this course focuses on up-to-date theoretical and practical developments within machine learning, neural networks, signal processing and remote sensing and how these occur in the intelligent systems. It also allows you to become acquainted with current developments in artificial intelligence, and be able to apply yours skills in intelligent system design and development.

You will be trained in subjects that address the challenges of the current industry, studying modules that focus on data acquisition technologies and data processing techniques, including the development of AI systems, allowing you to become acquainted with digital signal processing, remote sensing and Internet of Things platforms, learning to program processors produced by ARM Ltd, a major player in the world of microelectronic component software/hardware design, based in Cambridge.

You will also explore neural networks and artificial networks, deep learning in Python using Scikit-learn, machine learning models and model evaluation using performance matrices, parametric and non-parametric algorithms or decision trees. Develop fundamental methods and algorithms that enable intelligent systems to interact with their environment through feedback, autonomously learn from data, and interconnect with each other to form collaborative networks, turning mathematical and theoretical insight into enhanced autonomy and performance of real-world physical systems. The practical skills gained help to prepare you for jobs related to intelligent systems and machine learning.

Detailed Program Facts

Program Level

Master's Degree

Application Processing Days

30 Days

Program Intensity

Full-Time

Duration of Program

12 Months

Program Intakes

Intake Month/Year		Intake Status

Application Fee

Application Fee: CAD 0 FREE

Tuition Fee

CAD 14,500 per year

*Note: The fee is approximate and is subject to change

Living Cost in Anglia Ruskin University - Cambridge Campus

CAD 10,224 per year

*Note: The fee is approximate and is subject to change

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Check program website for more information about funding options.

English Test Requirements

IELTS
- Minimum Overall Score - 6.5 - 5.5 - With No Band Less Than
TOEFL
- Minimum Overall Score - 88.0 Minimum Listening - 17.0 Minimum Reading - 18.0 Minimum Writing - 17.0 Minimum Speaking - 20.0
PTE
- Minimum Overall Score - 61.0

Minimum Level of Education Required: To be accepted for this program, student must have a Bachelor's degree or equivalent, in a Computing, Electronics, Mathematics or Statistics subject.

Minimum CGPA Required: 50.00 %

Additional Information

Careers

In most cases, artificial intelligence will have a supportive role to empower the human factor to perform better in handling complex and critical situations which require judgement and creative thinking
Employment opportunities exist in vast areas and postgraduates typically follow careers in internet businesses, financial services, control systems, software engineering, mobile communications, programming and many more.

Scholarships

Scholarships and Bursaries
We know that undertaking a degree course is a big commitment in lots of ways – including financially. We've developed a range of scholarships and bursaries to make this easier for some of our most talented students.

Work Permit

PGWP

There are various options through which a student can get a post study work visa in the UK.
Tier 1 Graduate Entrepreneur Visa for the graduates with a genuine and credible business idea.
Tier 2 (General) is the leading immigration visa to work in the UK.
Tier 4 Doctorate Extension Scheme is for students who have completed their Ph.D. and is valid for 12 months for them to work, look for work or set up a business.
Tier 5 Youth Mobility is for individuals of certain countries like Australia, Canada, Japan, Monaco, Hong Kong, South Korea, Taiwan, and New Zealand aged between 18 -30 who wish to move to the UK.
Tier 5 GAE is for individuals who want to come to the UK for work experience, training, research or a fellowship.
UK Ancestry is for individuals who are a citizen of a commonwealth and plan to work in the UK and have a grandparent who was born in the UK.