MCA in Machine Learning

ML is used to make predictions and decisions based on previous data, such as online recommendations, image detection, search engine algorithms, automatic friend tagging suggestions, etc.


The MCA with a specialization in Machine Learning is a two-year postgraduate program designed to impart relevant industry-ready knowledge and skills to develop intelligent machines and solve real-world problems using ML techniques due to the importance of the field and wide application in today’s global business environment. Through projects, internships, industry visits, expert interaction and technical workshops, the curriculum and teaching and learning pedagogy creates a balance between theoretical and practical exposure.

Through lab sessions and regular question clarification sessions, one can clearly understand some of the most important concepts of Python, Panda and Scikit. Special attention is given to courses in computer programming, algorithms, probabilistic modelling, machine learning and pattern recognition.


ShikshaGurus Methodology of curating MCA in Machine Learning

ShikshaGurus is a platform where students can find various online and distance learning

courses from the best universities in India. Our team of experts and professionals carefully chooses all universities; only UGC-approved Universities are listed on our platform. Using the platform the student can get the desired course details, compare the course with similar courses offered by other universities and finally choose the best-suited university from the available options.



Top Universities offering MCA in Machine Learning

Here are some of the Top Universities offering MCA in Machine Learning

MCA in Machine Learning and AI from Amity University

MCA in Machine Learning From Amity University



Top Career Options after MCA in Data Analytics


There are excellent job opportunities for candidates with MCA in Machine Learning (ML) as Data Scientist, ML Engineer, Robotics Scientist, AI Engineer, BI Developer and Big Data Analyst. Candidates can also enrol in a doctoral program and apply their profession in research.



1. Data Scientist:

At this point, we’re pretty sure you have a solid understanding of what data scientists do. Their primary focus is the development of successful market solutions and collecting, analysing and interpreting data for conclusions and observations.



2. Machine Learning Engineer:

Machine learning engineers have applications, language analysis, statistics, mathematics, and other skills. Engineers are involved in building and leading self-service applications that advance AI projects.


3. Research Scientist:

The salary of a research scientist is very high and companies are looking for candidates with a strong background in AI. It is abundantly clear that the value of researchers will not decrease in the next ten years.


4. Business Intelligence Developer:

In addition to AI, the Business Intelligence developer’s market knowledge must be considered. When they look at large data sets, they find different market patterns.

5. Big Data Engineering:

It is the Big Data Engineer’s responsibility to create an environment that facilitates the effective communication of business processes. The position is ideal for individuals who like to experiment with cutting-edge technology. If you want to work in AI, you will need to learn programming languages

like Python, R and Java.

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