A Master of Technology (M.Tech.) in Machine Learning and Data Science (MLDS) is a course designed to develop algorithms and use them to build intelligent systems. The course focuses on teaching students to apply these algorithms in different applications, such as speech processing, text mining, and biomedical image processing.
M.Tech. courses in Data Science can either be full-time or part-time. The former is for working professionals, while the latter is for students. Both methods are a viable option if you have previous experience with data science.
In addition to the curriculum, M.Tech courses offer an opportunity for students to develop skills relevant to their career goals. Regardless of your background or educational background, an M.Tech in Data Science program will help you develop the skills necessary to succeed in the job market.
However, you should be aware that data science is a highly complex field, with several sub-fields. Those with a basic understanding of data science may opt for an online course, while those with more advanced knowledge of the field can choose to enroll in an accelerated or self-paced M.Tech.
Benefits of M.Tech in Machine Learning and Data Science
The M.Tech in Data Science and Machine Learning provides students with several career options. They can enter a variety of industries, including insurance, telecom, and banking. A graduate degree in this field is a good investment. Technology is advancing at a rapid pace, and it is crucial for companies to stay competitive. The M.Tech in Data Science will prepare you to make the most of the latest trends in AI.
Regardless of what industry you work in, you will always have opportunities to advance your career through this course. You can even work while you study. Aside from the benefits, completing your degree can improve your career prospects.
There are several advantages to earning an M.Tech in Machine Learning and Data Science at a premier university in India. The M.Tech in this field will help you gain practical knowledge of Big Data and Artificial Intelligence. Furthermore, you will get the opportunity to work on real-world projects. The program will help you develop a diverse set of skills and apply them in different industries.
Eligibility for M.Tech in Machine Learning and Data Science
The candidates must have a Bachelor's degree in a relevant field from a recognized university.
They must have a minimum aggregate of 55% marks to be eligible for the program.
Future Scope of M.Tech in Machine Learning and Data Science
The M.Tech in Machine Learning and Data Science program is offered by several universities. The degree is usually offered in classroom learning sessions, which are taught by renowned faculty.
The scope of this M.Tech degree is huge both in India and abroad. According to Gartner, there will be 2.3 million jobs in AI/ML by 2022. The salary of a Machine Learning Engineer is higher than that of any other job profile.
A recent Forbes report states that an average salary for a Machine Learning Engineer is $99,007 USD, while in India, it is Rs865,257.
The demand for qualified professionals in Machine Learning and Data Science is very high both in India and abroad. According to Gartner, by 2022, there will be 2.3 million jobs in AI/ML. The salary for a Machine Learning Engineer is significantly higher than other profiles.
Career Opportunities and Job Prospects of M.Tech in Machine Learning and Data Science
As a data scientist, you will work with data to improve business performance. Hence, you should be familiar with modern tools and programming languages. A graduate degree will improve your employment prospects and increase your salary. A degree in machine learning and data science is a must for this job. As the field is growing rapidly, you should have relevant experience in this field. You should also be willing to take on some additional responsibilities, such as implementing new machine learning techniques.
Career opportunities in data science are abundant, especially in finance and medical fields. Those who have degrees in unrelated fields can also get jobs in the field. During off-duty hours, professionals can study data science. If you already have a job, it may be easier to switch to a related field. If you're already employed in a profession, it is better to quit your current position and pursue your Master's degree. This will give you more time to learn and develop your skills in the field.
A graduate degree in data science or analytics will enable you to gain the skills that employers want. It is also important to choose a degree program that is flexible enough to meet your career goals. Some courses will train you to be a professional data analyst, while others will teach you to be a more general data scientist.
Course duration and fee details of M.Tech in Machine Learning and Data Science
The M.tech in Machine Learning and Data Science is a two-year degree program.
The average fees for the completion of the program are 6 lacs or it may vary from college to college.
2 Years
Post Graduate
Engineering
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