MBA in Machine learning is two years, master level professional course that can be opted after Graduation.This is center of modern management skills.thus help students to Choose right options in the wide range of career in the field of management.For taking admission in MBA Machine learning you must have to get rank in entrance Exam.
Machine learning algorithms are part of artificial intelligence (AI) that imitates the mortal literacy process. Machines are more important than the mortal brain at analysing data and gain perceptivity about the business. Machine Literacy (ML) algorithms have operations across colorful diligence and different functional areas.
Various Types of Jobs
NOTE:- Students who are admitted must bring all the original documents to with them to the Institute Campus. Students failing to present all relevant original documents upon request may be denied admission or later told to leave the university.
Given below are few of the important highlights of the program.
Program Full Name | Master of Business Administration in Machine Learning |
Program Level | Master Degree Courses |
Duration of the Program | 2 Years |
Examination Type | Semester |
Eligibility | Bachelor's Degree in Relevant Stream From a Recognized University With a Minimum of 50% Marks. |
Admission Process | Entrance Exam and Merit Based |
Average Program Fee | Upto Rs. 1 Lakh |
Syllabus of Management as prescribed by various Universities and Colleges.
Paper Code | Subjects of Study |
1 | Business Communication |
2 | Managerial Economics |
3 | Principles of Management |
4 | Marketing Management |
5 | Organizational Behaviour |
6 | Statistics for Business: Decision Science I |
7 | Analytics toolkit: Decision Science II |
8 | Spreadsheet Modelling I |
9 | Corporate Finance |
10 | Human Resource Management |
11 | Operations Management |
12 | Statistical Modelling |
13 | Data Visualization |
14 | Spreadsheet Modelling II |
15 | Introduction to Machine Learning |
16 | Entrepreneurial Development |
17 | Advanced Machine Learning |
18 | Natural Language Processing |
19 | Elective I: Web & Social Media Analytics |
20 | Elective II: Finance and Risk Analytics |
21 | Elective III: Healthcare Analytics |
22 | Elective IV: Deep Learning I |
23 | Internship |
24 | Elective I: Deep Learning II |
25 | Elective II: Supply Chain Analytics |
26 | Elective III: Marketing Analytics |
27 | Capstone Project |
Mentioned below are some states in India that offer the program.