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Artificial intelligence is an emerging field having a strong demand for AI engineers and Machine learning Engineers. Speech recognition, image processing, business process management, disease diagnosis and data feature engineering are just a few of the jobs that artificial intelligence enhances and makes simpler.
The MSc Artificial Intelligence at USW is a course aimed at graduates who would like to broaden their existing knowledge and open up a new career path. This course is intended to help students gain a solid knowledge of the various applications of AI, including language transformation, sentiment analysis, and visual recognition. Using Visi Rule and Python will also teach you about another area of artificial intelligence, such as the knowledge base system.
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This course is designed for graduates with a minimum 2:2 Honours degree or equivalent in a computing or strongly related subject.
Applicants should be proficient programmers.
International Entry Requirements
This course welcomes international applicants and requires an English level of IELTS 6.0 with a minimum of 5.5 in each component or equivalent.
Modules include work based on research by the Computer Science and Artificial Intelligence Paradigms (CSAIP) research group.
This AI masters is aimed at graduates with engineering, science, IT, mathematics or business backgrounds who have strong numeracy and IT skills.
It is delivered in four major blocks to offer an intensive but focused learning pattern. Full-time students will typically spend 12 hours in classes and 24 hours outside of classes each week.
If you choose to study part-time, this is reduced to around six hours each week. You will study through lectures, tutorials, practical sessions, seminars and projects.
You will need to spend a significant amount of time working independently, reading and preparing for assessments.
You will also work on a significant research project of your own choice, where strong independent thinking, critical analysis and project management skills will be important.
Assessment is primarily by coursework (94%), varying from a research-style paper or essay to practical assignments.
You will also work on a significant research project of your own choice, where strong independent thinking, critical analysis and project management skills will be important.
Accreditations
Accredited by BCS, The Chartered Institute for IT for the purposes of partially meeting the academic requirement for registration as a Chartered IT Professional.
Facilities
Practice is so important in gaining understanding of complex machine learning techniques, which is why we have a range of high specification computer laboratories including workrooms dedicated to our masters’ students.
These facilitate a learning environment where you can work individually or in groups and as they are located close to the staff offices.
Our facilities are at the cutting edge of computer development, meaning you’ll use the latest technologies in high-spec labs.
You’ll also find dedicated spaces on campus for computing students, including Windows, Apple Mac, Linux and Networking suites, all with the latest software.
As a student of USW, you’ll have access to lots of free resources to support your study and learning, such as textbooks, publications, online journals, laptops, and plenty of remote-access resources. Whilst in most cases these resources are more than sufficient in supporting you with completing your course, additional costs, both obligatory and optional, may be required or requested for the likes of travel, memberships, experience days, stationery, printing, or equipment.
Graduates with an MSc Artificial Intelligence will be able to apply for jobs in artificial intelligence, competitive intelligence, business intelligence, threat intelligence, cyber intelligence, computational intelligence, customer intelligence and marketing intelligence.
Example job titles include machine learning engineer, artificial intelligence engineer and business intelligence data engineer.
Many of our computing graduates commence a computing research degree here at the University, and there are PhD research opportunities in artificial intelligence within the school and beyond.
Once you complete your degree USW offers a startup studio(Opens in a new tab) and dedicated incubation space and the opportunity to grow on freelance work.
You’ll study 9 modules in total (approx. 37 hrs/week).
You’ll study 6 modules per year (approx. 25 hrs/week).
If you have any questions about our professional qualifications in finance and banking, please contact our customer services team.
Communication in Health and Social Care. Great Course. Very Easy to Understand
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