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Updated at : October 18, 2023
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Duration
2 - 4 Years
Eligibility info
Graduation or Equivalent
An online MCA course in Machine Learning is a master’s course in computer applications where students dive into the depths of the world of machine learning to explore the field and develop the required knowledge and skills to develop a career in ML. This is a 2 years program in which the 4 semesters cover a number of topics central to ML such as applications of ML in real life, deep learning and neural networks, Linux programming etc. This course meets the needs of a budding industry of machine learning in the Indian IT sector and is ideal for students as well as professionals who want to develop a career in it.
The major highlights of the online MCA in Machine Learning program are mentioned below:
A general syllabus for online MCA in Machine Learning is mentioned in the table below:
Semester 1 |
Semester 2 |
Graph Theory and Combinatorics |
Network Security and Cryptography |
Advanced Database Management Systems |
Cognitive Analytics and Social Skills for Professionals |
Advanced Software Engineering Principles |
Machine Learning for Real World Application |
Professional Communication |
Artificial Intelligence for Real World Application |
Core Java |
Data Structures and Algorithm Design |
— |
Research Methodology |
Semester 3 |
Semester 4 |
Cloud Infrastructure and Services |
Elective Subjects |
Quantitative Aptitude |
Projects |
Professional Ethics |
|
Seminar (Evaluation) |
|
Unix/Linux Programming |
|
Deep Learning & Neural Network |
|
Social Media & Text Analytics |
The following summary lists the eligibility requirements that candidates of the online MCA in Machine Learning programme must meet:
The duration of an online MCA program in Machine Learning is 2 years and includes 4 semesters of 6 months each. Students are given a maximum period of 4 years to complete the program and pass all papers.
The average academic fee of an online MCA in Machine Learning is between Rs. 1,00,000 and Rs. 1,50,000 since it is mostly provided by private universities. To ensure that maximum students can take the course up, universities provide financial support alternatives such as EMI, educational loan facilities etc.
Candidates can apply for admission to the online MCA in Machine Learning by following the steps below:
MCA Online In Data Analytics | ||
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There are umpteen number of job opportunities available after completing an MCA online degree. Although still an expanding field in the Indian IT sector, it is one of the fastest growing ones, with fairly paid jobs and diverse job options.
Some of the top job roles for an MCA graduate in Machine Learning have been listed here:
Wipro |
TCS |
IBM |
Accenture |
Infosys |
Infotech |
An online MCA course has been accredited by UGC-DEB as being a valid and credible PG degree when it is completed from a well-recognized university. So it will be held equally valid as an offline, regular MCA course.
The minimum eligibility to fulfill is that a candidate should have a valid and recognized Bachelor’s degree (either in a relevant stream like computer applications/computer science or in any other discipline). Candidates who completed B.Sc/B.E/BCA must have studied mathematics in grade 12 to be eligible.
This depends on the university you choose. A minimum requirement to apply to this course is that the candidate should have studied mathematics at 10+2 level. However, some of the universities can provide a leverage by allowing students to complete a bridging course in mathematics after which they can apply to an online MCA in ML.
Since this online course in Machine Learning is mostly provided by private universities, the course fee ranges between INR 1,00,000 to INR 1,50,000. Since most universities also provide installment facilities for fee payment, students can pay the fee through the 4 semesters of course completion.
The scope of online MCA in Machine Learning is vast and expanding. This is mainly a domain of the IT sector, but graduates in ML can also venture into fields such as fintech, supply chain etc.
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