A master’s degree in artificial intelligence (AI) and machine learning (ML) curriculum examines the core mathematics of the artificial intelligence and machine learning fields, allowing students to develop related tools and apply AI and ML to a variety of real-world issues. Students in the Machine Learning & AI masters program begin by taking five basic compulsory courses to grasp AI and ML foundational principles.
Students can then choose from ten electives to deepen their education while obtaining hands-on experience with cutting-edge tools and systems and dealing with real-world data.
Before graduation, students complete a collaborative team capstone project that gives them real-world experience applying artificial intelligence and machine learning ideas.
What are Artificial Intelligence degrees?
Artificial Intellect degrees train professionals to construct intelligent computers and systems that accomplish tasks that would ordinarily need human intelligence, such as playing games or understanding natural language.
Chess-playing computers and self-driving automobiles are two instances of Artificial Intelligence (AI). To analyze massive volumes of data, uncover patterns, and make predictions and judgments based on relevant information, they use neural networks, deep learning, and natural language processing.
Artificial Intelligence MSc degree requirements:
- Minimum English language test scores: IELTS – 6.5 or TOEFL – 90.
- Bachelor’s degree in Computer Science or other related fields.
- GRE or GMAT test.
- Academic transcripts.
- Motivation letter.
What are Machine Learning degrees?
Machine Learning (ML) is a subdiscipline of Artificial Intelligence that is highly specialized. ML degrees educate students on how to develop self-learning computer systems by combining algorithms and statistical models.
These computer systems do activities based on data and self-generated feedback rather than taking orders from programmers (trial and error).
The image recognition software employed by firms like Google and Apple is an excellent example of a Machine Learning (ML) system. The algorithm examines the elements within images and categorizes them into different groups (e.g. location, subject, colour).
Machine Learning degree requirements:
- Minimum English language test scores: IELTS – 7 or TOEFL – 90
- Undergraduate degrees in Computer Science, Mathematics, or a related field
- Minimum GPA
- Academic transcripts
- Letter of motivation
- Letters of recommendation
Some institutions and colleges may require additional documents, while others may only require a few. Always double-check that you have all of your papers ready; otherwise, if the time is too short, you may have to resubmit your application for a data science job or perhaps lose your university spot.
Courses duration
If you want to pursue a Bachelor’s degree in Machine Learning or Artificial Intelligence, it will usually take you three years in the United States and four years in Canada.
It takes 1-2 years to complete a Master’s degree in Artificial Intelligence. Part-time and online AI courses are excellent possibilities if you currently have a job.
Jobs and salaries for AI & Machine Learning specialists
Artificial Intelligence (AI) have the potential to produce nearly 58 million jobs in the next few years, according to a report by the World Economic Forum (WEF). But it isn’t all roses. Once automation gains traction, many employees may find themselves looking for new opportunities.
As a result, “it’s critical that businesses take a proactive role in reskilling and upskilling their existing workforces, that individuals take a proactive approach to their own lifelong learning, and that governments create an enabling environment to allow this workforce change,” according to the report.
You only need to be concerned about competition if you’re interested in AI research. Jobs are well-paid, and corporations are increasingly wanting to attract expertise such as
Software Engineers | 84,000 USD/year |
| You’ll use your computing, engineering, and programming talents to design and maintain new software and apps as a software engineer. | |
Computational Linguists | 80,000 USD/year |
| Linguists that work in computational linguistics create systems that can recognize speech, evaluate grammar, mine text, and so on. | |
Data Scientists | 95,000 USD/year |
| A data scientist analyses and interprets data in order to improve products, services, or business decisions. | |
Machine Learning Engineers | 112,000 USD/year |
| Data and programming languages are used by machine learning experts to construct self-running software that learns from data. | |
Robotics Engineers | 81,000 USD/year |
| A robotics engineer develops robots and systems to undertake activities that humans are unable or unwilling to perform. |
Conclusion
Earn your degree from one of the Artificial Intelligence And Data Science and Machine Learning Engineering Colleges, which provides the most up-to-date technological breakthroughs in the area to students interested in the Artificial Intelligence course. Colleges that specialize in Artificial Intelligence or Machine Learning can help you advance your career and assure a bright future.
