Hi, I completed my MTech in Machine Design. I want to do a course in Machine learning and AI in the UK. Are there any opportunities to get a job?Can u please suggest to me some universities?

Question

XAVIAR X · Accepted Answer

Artificial intelligence, machine learning, robotics, and data science have enormous potential. Additionally, you become eligible for work chances when you pursue your master's in the UK.
Let's look up the universities in the UK
1. University of Oxford
Conditions for Eligibility

A bachelor's degree in mathematics, computer science, economics, business, engineering, or science from an institution that has been approved.
The TOEFL score was 88 out of 120.
GMAT score of at least 650.
IELTS 6.5 and above.
Two years or more of relevant job experience and strong English speaking abilities.

Student feesThe curriculum costs the University of Oxford 22,927 USD per year.
2. University of Cambridge
Conditions for Eligibility

Hold a four-year undergraduate computer science degree or an equivalent degree.
On a 3.0 or 4.0 average for undergraduate work.
Being able to show comprehension in the following four areas is equivalent to having completed six undergraduate courses:
Computer architecture and systems theory A PTE score of 68/90, an IELTS score of 7, and a TOEFL score of 100/120 are required for software applications.

Student feesThe University of Cambridge costs USD 10,700 in tuition for one academic year.
3.  Imperial College London
Conditions for Eligibility

The candidate must possess an undergraduate degree from an accredited post-secondary institution and have earned a minimum grade point average of B+ during the previous two years or its equivalent in all of their coursework.
The GMAT and GRE results of the applicant must be satisfactory.
The candidate's IELTS score must be 7 out of 9.

Student feesThis program has an annual tuition cost of USD 80,1000.
4. University College London (UCL)
Conditions for Eligibility

Have an IELTS score of 7/9 and a TOEFL score of 90/120.
Possess a working understanding of Python programming and a fundamental understanding of statistics. Transcripts from your college should be provided.
Provide a recommendation letter, a goal statement, and proof of their financial status.

Student feesFor the program, the university levies an annual cost of USD 22,388.
5. King's College
Eligibility Requirements

Hold a four-year undergraduate computer science degree or an equivalent degree.
On a 3.0 or 4.0 average for undergraduate work.
Being able to show comprehension in the following four areas is equivalent to having completed six undergraduate courses:
Computer architecture and systems theory A PTE score of 68/90, an IELTS score of 7, and a TOEFL score of 100/120 are required for software applications.

Tuition FeesThe tuition fee for the entire course is USD 455,000.
Select the course from the list and enrol to enhance your career and advance the success ladder.

Prateeksha Manral · Answer

Hello! Pursuing further education in Machine Learning and AI in the UK is a wise decision, given your background in Machine Design. The UK is at the forefront of AI research and application, which translates into substantial job opportunities for graduates in this field. 
For university options, consider the University of Edinburgh and Imperial College London, which are leaders in AI research. These institutions not only provide cutting-edge knowledge but also have strong ties with the tech industry, facilitating good job placements for their graduates. Other notable institutions include the University of Manchester and King&rsquo;s College London, both of which offer robust AI programs tailored to prepare students for the highly dynamic and evolving tech market. 
In terms of employment, the UK's tech sector is booming, with significant growth in AI roles across various industries. To enhance your job prospects, actively participate in university-led projects, internships, and the vibrant tech community in the UK. This practical exposure is crucial for securing employment post-graduation and for integrating into the tech ecosystem effectively.