MBA in Operations Analytics

Business Analytics in operations management focuses on various models for developing and understanding at a strategic level how firms should operate. Overwhelmed by the growing availability of data and everyday advances in machine learning with revolutionary optimization methodologies, the application of data analytics to problem-solving in operations management has reached a new high. In this course, students get accustomed to the application of data analysis in operations management to highlight insights necessary for developing strategic frameworks.

Highlights:

1. Deep understanding of typical HR processes and operations in the context of data analytics
2. Online delivery with continuous mentoring and 1 on 1 support
3. Best in class HR leaders to train the students through the course
4. Ample hands-on assignments
5. Placement assistance
6. Tools and technology used in HR analytics
7. Keeps You Updated on the Latest Industry Trends
8. International faculty
9. Many multinational companies are involved in delivering, mentoring, and support

• Approximate Course Length: 3-4 weeks
• Total ECTS Credits: 90
• Maximum Number of Transfer Credits: 30

The ESDST Online MBA program in Operations Management Analytics consists of 18 courses. The course is loaded with multiple hands-on projects/assignments with at least one capstone industry-linked project. Wherein each student will be required to work on a unique, real-world business problem. The duration of each course will be around 3 weeks constituting 5 to 6 ECTS credits. Students must complete all these courses and the capstone project to earn a total of 120 ECTS to qualify for the MBA in Data science and Machine Learning.

1st Semester – Management Foundation

• MBA-101 Managerial Skills - 4
• MBA-102 Accounting for Financial Reporting - 4
• MBA-103 Marketing Management - 4
• MBA-104 Cutting Edge Leadership - 4

2nd Semester – Data Tool Kit and Analytics

• MBA-105 Business Analytics Foundation - 4
• MBA-106 Business Statistics - 4
• MBA-107 Predictive Analytics Methods - 4
• MBA-108 Programming for Analytics using R - 4

3rd Semester – Data Science Application and Visualization

• MBA-109 Artificial Intelligence and Machine Learning - 4
• MBA-110 Big Data and NoSQL - 4
• MBA-111 Data Warehousing and management - 4
• MBA-112 Data Visualization and Storytelling with Tableau - 4

4th Semester – Decision making using Data Science

• MOA-101 Operations Analytics – I - 4
• MOA-102 Business Research Methods - 4
• MOA-103 Production and Systems Management - 5
• MBA-113 Natural Language Processing - 4

5th Semester – Leaders and Data Science

• MOA-104 Operations Analytics – II - 5
• MOA-105 Business Decision Making using Operations Analytics - 4
• MOA-106 AI and ML In Real World and Business - 4

6th Semester – Experiential Learning

• CP-101 Capstone Consulting Project (Master Thesis) - 12

Total Credits: 90

The ESDS MBA in Operations Management analytics is one of the rare offerings in data analytics. While carefully imparting the analytics education, students get a deep knowledge of the functioning of the firms, various optimization methodologies, and frameworks chosen in different scenarios to run the businesses successfully. Students become seasoned management professionals with a ready-to-deliver results attitude.

Each student at ESDS is matched with an Industry mentor, preferably in the same industry in which the student is working or has aspirations to enter. The mentor guides the student through the course and provides the student with real-life experiential learning along with core learning taking place in the program.

Primary outcomes:

1. Be able to understand the intricacies of the business functions
2. Ability to understand how scenarios differ and how various optimization techniques fit it
3. Discover and apply relevant analytics models to solve problems
4. Develop an understanding of the various analytics tools prevalent in the industry