MBA in Data Science Syllabus 2025: Subjects, Specializations, and Semester-wise Syllabus

The MBA in Data Science program provides a comprehensive curriculum that integrates core business subjects with specialized courses in data science. Topics include data analysis, machine learning, data visualization, and business strategy in the context of data-driven decision-making.

Syllabus and Subjects of MBA in Data Science

The Master of Business Administration (MBA) program with a specialization in Data Science is a comprehensive and advanced postgraduate degree designed for individuals aiming to become experts in the fields of data analysis, machine learning, and data-driven decision-making. This program is meticulously structured to provide students with a strong foundation in business administration while delving deeply into the specialized domain of data science.

MBA programs with a specialization in Data Science aim to equip students with the knowledge and skills required to excel in areas such as data analysis, machine learning, predictive modelling, and data-driven business strategy. Graduates of this program emerge as professionals capable of harnessing the power of data to make informed decisions, drive organizational growth, and solve complex business challenges.

Here is the table of subjects and syllabus for the MBA program with a specialization in Data Science:

Semester 1

Course Title	Description
Introduction	Overview of the program and its objectives.
Understanding Data Science	Fundamentals of data science and its role in decision-making.
Financial Management	Analyzing financial data, budgeting, and investment strategies.
Marketing Strategy	Marketing trends, consumer behaviour, and digital strategies.

Semester 2

Course Title	Description
Operations Management	Supply chain management, process optimization, and resource allocation.
Strategic Management	Developing long-term visions and strategies for organizations.
Data Analytics	Techniques for examining data, identifying trends, and supporting decisions.
Data Visualization	Presenting complex data through charts, graphs, and dashboards.

Semester 3

Course Title	Description
Machine Learning	Understanding machine learning algorithms and their applications.
Statistical Analysis	Statistical methods for data pattern recognition and hypothesis testing.
Big Data Analytics	Processing and analyzing large and complex data sets.
Elective Course 1	Tailoring the program to your interests (e.g., Cybersecurity in Data Science).

Semester 4

Course Title	Description
Deep Learning	Neural networks and advanced machine learning techniques.
Natural Language Processing	Interpreting and generating human language with computers.
Elective Course 2	Additional customization based on career goals (e.g., Business Intelligence).
Capstone Project	Applying knowledge and skills in a real-world data science project.