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1-2Year
Management

PGDM in Business Analytics

Management 1-2 Year 4.7 Average Rating
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Starting From

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About Course


PGDM in Business Analytics is a specialized management program designed to equip students with the skills to analyze data and make strategic decisions in the business world. The course covers key areas such as data analytics, business intelligence, predictive modeling, data visualization, and machine learning. Students learn how to apply analytical tools to solve real-world business problems in areas like marketing, operations, finance, and human resources.

Graduates of PGDM in Business Analytics are prepared for roles like data analyst, business analyst, analytics consultant, and data scientist. They can work across various industries, including banking, e-commerce, consulting, and telecommunications. The program also emphasizes the importance of data-driven decision making in driving business growth and efficiency. Top recruiters include Accenture, Deloitte, Capgemini, and Cognizant, offering ample career opportunities in the growing field of business analytics.


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Course Scope


The scope of a PGDM in Business Analytics is vast and continues to expand as businesses increasingly rely on data to make strategic decisions. Here’s an overview of the course scope:

1. Career Opportunities:

Data Analyst/Business Analyst: Analyze large sets of data to provide insights, forecast trends, and support decision-making processes across industries like marketing, finance, and operations.

Data Scientist: Use advanced techniques in machine learning, predictive analytics, and data mining to interpret complex data and solve business challenges.

Analytics Consultant: Advise organizations on leveraging data and analytics tools to improve business performance and achieve objectives.

Business Intelligence Analyst: Focus on extracting actionable insights from data, using tools like Power BI, Tableau, and SQL for data visualization and reporting.

Marketing Analyst: Use data to identify trends in consumer behavior and assist businesses in improving their marketing strategies.

2. Further Studies:

Pursue certifications in specialized fields such as Big Data Analytics, Artificial Intelligence, or Machine Learning for advanced career growth.

Ph.D. in Data Science or Analytics for those interested in research or academic roles.

3. Job Sectors:

Consulting Firms (e.g., Accenture, Deloitte)

E-commerce (e.g., Amazon, Flipkart)

Financial Institutions (e.g., JPMorgan Chase, Goldman Sachs)

IT and Technology Companies (e.g., IBM, Microsoft)

Telecommunications and Media (e.g., Vodafone, AT&T)

Retail (e.g., Walmart, Target)

The growing demand for data-driven decision-making, business optimization, and predictive insights ensures the scope of PGDM in Business Analytics continues to expand across various sectors, offering lucrative career opportunities for graduates.


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Course Syllabus & Subjects


Subjects in PGDM in Business Analytics

The PGDM in Business Analytics curriculum covers a wide range of subjects to equip students with the necessary skills in data analysis, business decision-making, and technology. Common subjects include:

  1. Introduction to Business Analytics: Overview of analytics, its application in business, and key concepts.
  2. Data Management and Databases: Understanding databases, data storage, and management techniques.
  3. Statistical Methods for Business Analytics: Application of statistical techniques in business problem-solving and decision-making.
  4. Data Visualization: Techniques for presenting data effectively using visualization tools like Tableau or Power BI.
  5. Predictive Analytics and Modeling: Building models to forecast business outcomes using historical data.
  6. Machine Learning and Artificial Intelligence: Using AI and ML techniques to solve business problems.
  7. Big Data Analytics: Handling and analyzing large datasets for insights.
  8. Operations Analytics: Applying analytics to optimize business operations and processes.
  9. Marketing Analytics: Analyzing marketing data to improve customer engagement and sales strategies.
  10. Business Intelligence Tools: Learning tools and technologies such as SQL, Python, R, and Hadoop.
  11. Supply Chain and Logistics Analytics: Optimizing supply chain management through analytics.
  12. Data Ethics and Governance: Understanding the ethical aspects of data usage and the regulatory framework.

 


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Course Eligibility


The eligibility criteria for a Post Graduate Diploma in Management (PGDM) in Business Analytics typically include the following:

Educational Qualification:
Candidates must have a bachelor’s degree in any discipline (e.g., Commerce, Engineering, Science, Business, etc.) from a recognized university. A background in mathematics, statistics, computer science, or engineering can be advantageous, but it is not mandatory.

Minimum Percentage:
A minimum aggregate score of around 50-60% in the qualifying undergraduate degree is generally required, though this may vary depending on the institution.

Work Experience:
Some institutions prefer candidates with 1-2 years of work experience in a related field, though this is not always mandatory. However, having experience in business operations, data analysis, or IT can strengthen an application.

Entrance Exams:
Many institutions require candidates to have a valid score in management entrance exams like CAT, XAT, GMAT, MAT, CMAT, or the institution's own entrance test. Some institutes may also conduct personal interviews or group discussions as part of the selection process.

Skills and Aptitude:
Strong analytical skills, proficiency in mathematics or statistics, and familiarity with tools like Excel, R, Python, and SQL can be beneficial, though they may not be mandatory at the time of admission.

Language Proficiency:
Since the course is often conducted in English, candidates must demonstrate proficiency in English, especially if they come from non-English speaking backgrounds. Some institutions may ask for scores from IELTS or TOEFL.

It's advisable to check the specific eligibility requirements of the institution offering the PGDM in Business Analytics, as they may vary slightly.


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Course Level


The PGDM in Business Analytics is a postgraduate-level course, designed for individuals who have completed their undergraduate education and wish to specialize in the field of business analytics. This course provides advanced knowledge and skills in the analysis and interpretation of business data to drive decision-making, improve business strategies, and enhance organizational performance.

The program typically focuses on areas such as data analysis, predictive modeling, machine learning, statistical tools, and business intelligence, preparing students for roles in data-driven business environments. It is ideal for those seeking leadership positions in analytics, consulting, or management, particularly in industries such as finance, marketing, operations, and technology.


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Recruiters


Top Recruiters for PGDM in Business Analytics Graduates

Graduates of the PGDM in Business Analytics are highly sought after by companies across various industries. Some of the top recruiters include:

Consulting Firms:

  • McKinsey & Company
  • Boston Consulting Group (BCG)
  • Deloitte
  • Accenture
  • PwC

Tech and IT Companies:

  • Google
  • Amazon
  • Microsoft
  • IBM
  • Tata Consultancy Services (TCS)

Financial Institutions:

  • JPMorgan Chase
  • Goldman Sachs
  • HSBC
  • ICICI Bank
  • HDFC Bank

E-commerce and Retail:

  • Flipkart
  • Walmart
  • Myntra
  • Zalando

Analytics and Data Solutions Firms:

  • Mu Sigma
  • Fractal Analytics
  • EXL Service
  • Tredence

Manufacturing and Operations:

  • General Electric
  • Siemens
  • Caterpillar

These recruiters hire PGDM in Business Analytics graduates for roles such as Data Analyst, Business Analyst, Marketing Analyst, Operations Manager, Business Intelligence Analyst, Data Scientist, and Consultant. The increasing reliance on data-driven decision-making in organizations ensures a growing demand for skilled professionals in this field.

 


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