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DSE MBA BA Syllabus 

The DSE MBA (Business Analytics) program at the Department of Commerce, University of Delhi, offers a rigorous and innovative curriculum designed to equip students with in-depth knowledge of business analytics tools and techniques. Spanning over two years and four semesters, the program combines core business principles with advanced analytical skills to prepare students for leadership roles in a data-driven world.

The curriculum is structured to provide a balance between theoretical knowledge and practical applications, emphasizing the integration of analytics across various domains, such as finance, marketing, operations, and human resources.

Key highlights include:

  • A total of 112 credits, with a mix of core courses, elective options, and open electives.

  • Opportunities to engage in industry-relevant internships, live projects, and a capstone project to bridge the gap between academics and real-world business challenges.

  • Focus on cutting-edge tools and methodologies, including Python, R, AI & Machine Learning, Big Data, and Data Visualization.

The curriculum is updated regularly to stay aligned with the dynamic needs of the industry and global business trends.

Course Objectives

Dse Mba Business Analytics, Delhi School of Economics , Department of Commerce , University of Delhi DU

1

Develop analytical skills to interpret and solve business challenges using data-driven insights.

2

Equip students with leadership and management capabilities for dynamic global environments.

3

Bridge academia and industry by integrating theoretical and practical business analytics knowledge.

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Programme Highlights

  • Comprehensive Curriculum: A balanced blend of core business subjects and advanced analytics courses, designed to meet industry demands.

  • Cutting-Edge Tools and Techniques: Hands-on experience with Python, R, Tableau, Power BI, and other leading analytical software.

  • Focus on Emerging Technologies: Courses in Artificial Intelligence, Machine Learning, Big Data, and Data Visualization.

  • Industry Exposure: Opportunities to work on live projects, summer internships, and capstone projects with industry mentors.

  • Flexible Electives: Specialize in areas like Marketing Analytics, Financial Analytics, HR Analytics, and Supply Chain Analytics.

  • Global Perspective: Emphasis on analytics applications across industries and geographies, preparing students for global roles.

  • Innovative Teaching Methods: Case studies, simulations, group discussions, and workshops led by experienced faculty and industry experts.

  • Interdisciplinary Approach: Integration of analytics with business strategy, decision-making, and leadership skills.

Tools we Learn

R
Tableau
power_bi
python
sql
hadoop

Foundation and Core Business Concepts

  • Management and Organizational Behaviour

  • Marketing Management

  • Accounting for Managers

  • Economics for Managers

  • Business Statistics and Research Methods

  • Introduction to Analytics

  • Data Visualization

  • Indian Knowledge System

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