Distance MBA in Data Science Program Syllabus & Subjects

Covers data analytics, machine learning, data visualization, and big data management. Gain data science skills through distance learning.

Syllabus and Subjects of Distance MBA in Data Science

A Distance MBA in Data Science program is designed to cater to the growing demand for professionals who can harness the power of data to drive business decisions. The syllabus for this program is carefully curated to provide students with a comprehensive understanding of data analysis, machine learning, statistics, and data-driven decision-making. Typical courses in the syllabus cover topics such as data visualization, predictive analytics, big data technologies, and data ethics. As data continues to play a pivotal role in various industries, from finance to healthcare, this Distance MBA program ensures that graduates are well-prepared to thrive in data-centric roles and contribute to their organizations' success. It offers a flexible learning approach, making it accessible to working professionals seeking to enhance their data science skills while managing their professional commitments.

1st Year OR 1st & 2nd Semester Syllabus of Distance MBA in Data Science

Semesters	Subjects
Semester 1	Principles of Economics and Markets
	Managerial Effectiveness and Ethics
	Accounting and Finance
	Organizational Behaviour and Human Resource Management
	Quantitative Techniques and Analytics
Semester 2	Entrepreneurship
	Marketing Management and Research
	Python for Data Science
	Statistics for Decision Making
	Data Wrangling and Exploratory Data Analysis

2nd Year OR 3rd & 4th Semester Syllabus of Distance MBA in Data Science

Semesters	Subjects
Semester 1	Business Environment and Strategy
	Operations Management
	Data Visualization
	Business Analytics
	Data Analytics using Excel
Semester 2	Elective
	SQL for Data Science
	Predictive Analytics using Machine Learning
	AI for Business
	Web and Social Media Analytics
	Elective
	Project