Post Graduate Certificate Program Management in Business Analytics

Course Description

The Post Graduate Certificate Program in Management of Business Analytics from MIT Pune is a comprehensive and industry-relevant program that aims to equip students with the skills and knowledge required to succeed in the field of business analytics. The program is designed for working professionals who wish to upgrade their skills and knowledge in the area of data analytics and management.

The program curriculum covers a range of topics, including statistics, data mining, data visualization, machine learning, predictive analytics, and big data management. Students will also learn about the latest tools and technologies used in the field of business analytics, such as R programming language, Python, and Tableau.

The program is delivered through a combination of online and classroom sessions, providing students with flexibility in their learning schedules. The faculty members are experienced professionals in the field of business analytics, with extensive industry experience and academic credentials.

In addition to the core curriculum, the program also includes projects and case studies, allowing students to apply the concepts and tools learned in class to real-world scenarios. The program also provides networking opportunities with industry professionals, helping students to build their professional network and gain insights into the latest trends and best practices in the field of business analytics.

Overall, the Post Graduate Certificate Program in Management of Business Analytics from MIT Pune is an excellent choice for professionals looking to upgrade their skills and knowledge in the field of data analytics and management. The program is designed to provide a comprehensive and industry-relevant education that will enable students to succeed in the competitive field of business analytics.

Learning Outcomes

• To quantify business values by using Statistical Tools & Techniques
• Data mining techniques for mining and analyzing of raw data to discover interesting patterns, extract useful knowledge, and support decision-making.
• Gain detailed insight via various data interpretation & data visualization techniques.
• Predictive modelling technique which help the business to predict the future market trends using historical data.
• Application of analytics in various domains such as HR, Finance, Marketing & Supply chain.

COURSE SYLLABUS

Total Cumulative Credits 46

• Semester I

  Code	Subject	Credits
  FS1F01	Foundations of Business Management (HR, Marketing, Finance & Operations)	4
  FS1LA1	Legal Aspects of Business	4
  FS2C10	Strategic Management	4
  FS2C07	Management Information System	4
  FS2C11	Business Analytics	4

  Total Credits 20

• Semester II

  Code	Subject	Credits
  FS2DB1	Data Mining for Business Analytics	4
  FS3EL6	Predictive Modeling	4
  FS3FM4	Financial Analytics	4
  FS3EL4	Marketing Analytics	4
  FS3LSC1	Supply Chain Analytics	4
  PWPGC	Project Work	6

  Total Credits 26