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online ms in machine learning and ai

Updated at : April 5, 2024

Online MS Degree In Machine Learning & AI

Machine Learning and Artificial Intelligence (AI) have emerged as game changers across sectors in today's data-driven environment. Many big universities acknowledge the increasing demand for workers with these skills and provide innovative Online Master of Science (MS) in Machine Learning & AI degrees.

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Universities

2

Duration

18 - 24 Months

Eligibility info

Graduation with min. of 50% marks

Online MS in Machine Learning & AI program is a post-graduate program that offers students a thorough knowledge of the theoretical underpinnings and practical applications of machine learning and AI. Deep learning, natural language processing, computer vision, reinforcement learning, and ethical issues in AI are among the subjects covered in the program. Practical projects, case studies, and industry-relevant assignments provide students hands-on experience.

The Online MS in Machine Learning & AI program strongly emphasises hands-on experience and project-based learning. Students work on hands-on projects and case studies that replicate real-world circumstances, allowing them to use their knowledge and abilities to solve complicated challenges. This experiential learning method provides graduates with the practical knowledge and confidence required to thrive in the fast-paced field of artificial intelligence.

Students who pursue the Online MS in Machine Learning & AI program position themselves for attractive job options. AI specialists are in high demand, with businesses ranging from banking and healthcare to e-commerce and technology looking for talented employees to drive innovation and decision-making. The extensive industry contacts and career assistance services improve students' employability and offer doors to worldwide job opportunities.

The program's flexible online learning structure is one of its most notable aspects. The online platform, designed for working professionals and those seeking flexibility in their education, allows students to access course materials, lectures, and assignments quickly. The dynamic virtual learning environment encourages interaction with teachers and peers, fostering collaborative learning and networking possibilities.

Universities providing this program have a team of seasoned faculty members that are machine learning and AI professionals. These faculty members bring industry knowledge, research skills, and real-world insights into the virtual classroom, ensuring students receive current and practical instruction. In addition, the institution works with industry partners to expose students to real-world issues and opportunities, boosting their learning experience.

Key  Highlights of Online MS in Machine Learning & AI

The following are the important highlights of the Online Master of Science (MS) in Machine Learning & AI program:

  • The program’s career mentorship meetings provide students with a deep insight into industry trends, employment market dynamics, and career progression methods. 
  • Students will have access to a special employment opportunities site connecting them with relevant job vacancies in machine learning and AI. 
  • With over 750+ hours of coursework, the curriculum provides a complete learning experience that ensures a solid knowledge of machine learning and AI principles.
  • Deep learning, natural language processing, computer vision, reinforcement learning, and ethical issues are among the subjects covered in the program's extensive curriculum.
  • Students will also get live coding workshops and profile-building seminars to improve their programming abilities and develop a professional web presence highlighting their skills to potential employers.
  • Each student is allocated a dedicated Student Success Mentor who provides advice and support throughout the program. 
  • The program provides numerous payment alternatives, including no-cost EMI options, allowing students to manage their financial obligations without incurring additional costs.
  • The curriculum is fully online so that students can study at their own speed and access course materials from anywhere. 
  • The curriculum is taught by experienced faculty members who are machine learning and AI experts. 
  • Students work on projects and case studies that replicate real-world circumstances, allowing them to use their knowledge and abilities to address real-world challenges. 
  • The curriculum digs into advanced AI techniques and applications. Students may attend live seminars on AI tools like ChatGPT, OpenAI, Dall, Midjourney, and others. 
  • The curriculum includes six practical hands-on capstone projects, allowing students to apply their knowledge to real-world issues. There are also 15+ case studies and tasks to supplement practical learning.
  • The institution provides extensive career assistance services to students to help them improve their employability. 

Syllabus of Online MS in Machine Learning & AI

The following disciplines and topics are commonly covered in the Online Master of Science (MS) in Machine Learning & AI program's syllabus:

Introduction to Machine Learning & AI

Mathematical Foundations for Machine Learning

Supervised Learning Algorithms

Unsupervised Learning Algorithms

Deep Learning

Natural Language Processing (NLP)

Computer Vision 

Reinforcement Learning

Advanced Topics in Machine Learning & AI

Capstone Projects and Case Studies 

Eligibility Requirements for Online MS in Machine Learning & AI

The following are the qualifying requirements for the Online Master of Science (MS) in Machine Learning & AI program:

  • Applicants must have a Bachelor's Degree, preferably in Mathematics or Statistics. A degree from a recognised university or institution with a minimum aggregate score of 50% (or equivalent) is required.
  • Completing the Executive Post Graduate Program (PGP) in Machine Learning & AI is required. This curriculum serves as a prerequisite for entrance to the Online MS program.
  • It is preferred that candidates must have at least one year of programming or analytics expertise. This experience aids in comprehending practical applications of machine learning and AI ideas and the overall learning experience.

These eligibility requirements ensure that applicants have a strong academic foundation in mathematics or statistics, the necessary programming and analytics skills, and a prior understanding of machine learning and AI through the completion of the Executive PGP in Machine Learning & AI. These criteria ensure that students are well-prepared for the advanced courses and practical projects in the Online MS in Machine Learning & AI program.

Duration of Online MS in Machine Learning & AI

Online Master of Science (MS) in Machine Learning & AI curriculum lasts 1 to 2 years. The curriculum is designed to fit the needs of students with varying schedules and responsibilities.

The duration may differ based on factors such as the student's study rate, the number of courses taken every semester, and whether they study full-time or part-time. Students may tailor their study schedule to their needs and go through the program at their speed.

Admission Process for Online MS in Machine Learning & AI

The admissions process for the Online Master of Science (MS) in Machine Learning & AI program is uncomplicated. Here's a step-by-step guide:

  • Start by filling out the online application form on the university's official website. You must fill out this form with your personal and educational information.
  • Gather and submit all required supporting documentation. Academic transcripts, proof of a Bachelor's Degree, proof of English language competency (for non-native speakers), a statement of intent, and a complete résumé or CV are all acceptable.
  • The admissions committee thoroughly reviews your application and accompanying materials. They evaluate your academic background, employment experience, language skills, and overall program fit.
  • You may be invited to an online interview in some instances. This interview allows you to express your interest in machine learning and artificial intelligence, expound on your aims, and emphasise your qualifications.
  • The admissions committee makes a final decision after thoroughly reviewing your application and interview (if appropriate). Successful candidates are given an admission offer, while unsuccessful applicants are given alternate alternatives or are denied.
  • Once you have received an admission offer, you must confirm your acceptance by paying the needed fees or submitting the relevant documentation before the deadline. This guarantees your spot in the program.

Please remember that the admissions procedure and exact requirements may change yearly. You should check the university's official website providing the program or contact the admissions office directly for the most current and up-to-date information.

Career Scope After Pursuing Online MS in Machine Learning & AI

Pursuing the Online Master of Science (MS) in Machine Learning & AI degree opens up various professional prospects in machine learning and AI. The need for employees with machine learning and AI knowledge is increasing across several sectors. Below you can find some best companies where you can work after finishing the program.

Individuals with a Master of Science (MS) in Machine Learning & AI are in high demand in today's AI-driven environment. These individuals, with their particular talents in AI, machine learning, and programming, play a critical role in assisting firms in making informed decisions and gaining a competitive advantage. As businesses increasingly rely on data to drive innovation and efficiency, career opportunities for those with an MS in Machine Learning & AI are plentiful and exciting. Let's take a look at some of the fascinating employment options available to you after finishing the Online MS in Machine Learning & AI program: 

Data Engineer

Data Scientist 

MLops Engineer 

Machine Learning Engineer 

AI Research Scientist

AI Consultant

Deep Learning Engineer

AI Ethicist

AI Product Manager

Data Engineer

These are only a few examples, and the discipline of machine learning and artificial intelligence (AI) provides a wide range of positions in sectors such as banking, healthcare, e-commerce, technology, and others. With the rising integration of AI technology across industries, there are several chances for professional advancement and innovation. The Online MS in Machine Learning & AI program will provide you with the information, abilities, and hands-on experience you need to flourish in these dynamic and exciting career fields. 

Let's clear up some doubts about Online MS (Master of Science) in Machine Learning & AI

Yes, the curriculum is intended for students from a variety of backgrounds. While a programming background is advantageous, the program covers fundamental ideas and provides the training to develop abilities in Machine Learning & AI-related fields.

Applicants must normally have a bachelor's degree in a related discipline to be considered for the program. Additional criteria, such as a minimum GPA or required courses in mathematics or programming, may apply to some programs.

Yes, the program's online structure provides flexibility, making it appropriate for working professionals. You may access course materials and complete projects quickly, giving you the flexibility to juggle your study and your employment.

Yes, many programs offer hands-on components like case studies, projects, or internships to provide students with hands-on experience applying Machine Learning and AI concepts to real-world situations. These possibilities will help you develop your talents and establish a solid portfolio.

A typical online learning experience includes video lectures, interactive modules, discussion boards, and virtual classrooms. Through a specialised online learning platform, you will have access to course materials, resources, and faculty assistance.

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