MBA Executive (Analytics & Information Technology) Syllabus 2025: Subjects, Specializations, and Semester-wise Syllabus

Understand the syllabus of the Executive MBA program with a focus on Analytics and Information Technology. From data analytics to IT strategy, delve into the subjects that will prepare you for leadership in technology and data-driven roles.

MBA Executive (Analytics & Information Technology) Syllabus:

The MBA Executive program with a specialization in Analytics and Information Technology is designed for IT professionals seeking to leverage data for business success. Core courses encompass IT strategy, data management, and IT governance. Specialized subjects include business intelligence, data mining, and IT project management. Students often engage in IT projects and collaborate with industry partners. Graduates are well-prepared for senior IT management roles and IT leadership positions.

The course design for the MBA in Executive Analytics and Information Technology takes a rigorous approach to imparting management-related information while also covering the technical side of IT. Universities also provide a wide range of electives linked to IT, software, and data in an effort to provide a diverse knowledge of the many fields. The topics provided under this program as foundational courses and electives are shown in the following table.

Here's a sample breakdown of the syllabus for the MBA in Executive Analytics and Information Technology program over semesters, presented in a table format:

Semester 1	Semester 2
Business Communication	Marketing Management
Financial Accounting	Operations Management
Managerial Economics	Human Resource Management
Statistics for Management	Financial Management
Information Technology	Data Analytics
Business Ethics	Strategic Management
Semester 3	Semester 4
Business Intelligence	Machine Learning and AI
Data Visualization	E-Business and Digital Marketing
Advanced Analytics	IT Project Management
Decision Support Systems	Big Data Technologies

Projects

The MBA in Executive Analytics and Information Technology program often includes practical components such as case studies, industry projects, and internships to provide students with hands-on experience in real-world scenarios. Collaborations with industry partners and guest lectures by seasoned professionals further enrich the learning experience, offering insights into the latest trends and challenges in the field.

The fourth semester gives students the chance to apply what they've learned throughout the degree to a challenging project that would be found in the real world. The learner is expected to show that they have a solid comprehension of the important topics they have learned during the semesters and that they can successfully apply these ideas.

(1). Analytics on Amazon Web Services

(2). Data warehouse management

(3). Business intelligence that is current

(4). Interdisciplinary business intelligence

(5). Data management