PGDM IN BUSINESS ANALYTICS - AICTE APPROVED

Certificate in Enterprise Technology & Data Center

About the Program

In today’s time, organizations have increasingly turned to advanced solutions to manage a large amount of data, workloads, maintain profitability and ensure competitiveness within their respective domains. While there are several options available, Business Intelligence tools (BI) and Business Analytics tools (BA) are evidently the most widely implemented data management solutions.

How do you differentiate between Business Intelligence and Business Analytics

Business intelligence (BI) solutions are among the most valuable data management tools available. BI solutions collect and analyze current, actionable data with the purpose of providing insights into improving business operations and to make it profitable.

Business analytics is primarily used to analyze historical data, but with the intention of predicting business trends. It also usually has an eye towards improvement and preparation for change. Big Data, Data analytics using R and Data analytics using SAS plays a vital role in analytics.

Business Analytics

PGDM In Business Analytics from Don Bosco School of Management (DBSOM) is an immersive program wherein students are prepared to analyze and interpret large amounts of data and to derive recommendations for companies. Graduates can not only analyze data mathematically or statistically Using Big Data, Data analytics using R and Data analytics using SAS but also evaluate it against a business background. They specialize in specialist and management tasks at the interface between IT, management and control. They can take up positions like Data Scientist in Research domain at CXO level reporting. In broad terms, business intelligence systems are used to maintain, optimize and streamline current operations. The term refers to technologies, applications, and practices for the collection, integration, analysis, and presentation of business information. The purpose of business intelligence is to support data-driven business decision making.


Program Structure

Beginning of Academics Session: 24th June 2019

The Programme structure for PGDM is finalized based on the stakeholder’s needs and general structure of the programmes.

Core Courses: Core courses of PGDM programs provide a foundation for a conceptual and understanding of a holistic approach to the management education, giving students both an overview of the field, and a basis to build, and specialize upon. These core courses are the strong foundation to become highly motivated entrepreneurs with immersive knowledge having core managerial skill sets and provide broad multi-disciplined knowledge that can be further studied in depth during the elective phase. The core courses provide students with more than just practical knowledge, case-based lessons and collaborative learning models, train students to analyze, decide, and lead—rather than merely know—

CXOs are demanding Data Science experts that can respond quickly and effectively to the changing business demands and gradually move into a value creation role. Clients expect stronger industry knowledge from vendors to provide better business context and effectively respond to the market opportunities and challenges with agile and collaborative decision-making processes. This PGDM program will generate unprecedented opportunities for you and to the enterprises that will fall in line to hire you in future. As a result, organizations in India and abroad are already spending billions of dollars to build their analytics capabilities and are increasingly turning to some type of reporting, analytics, and data science technology to address key business challenges. As enterprises strive to take advantage of analytics and data science to increase profitability, drive customer engagement and grow revenue while identifying and minimizing risk, they are tapping young talent to ease their operations. Hence it is making even more important now to update your knowledge by pursuing a redefined PGDM course on Business Analytics.

Semester Course Content
Semester 1
  • Management Functions & OB
  • Business Communication
  • Managerial Economics
  • Introduction to IT Systems
  • Financial & Management Accounting
  • Business Statistics
Semester 2
  • Operations Management
  • Human Resource Management
  • Marketing Management
  • Economics and Social Environment
  • Financial Management
  • Research Methodology
Semester 3
  • Introduction to Big Data
  • Data Analytics Using R
  • Data Analytics Using SAS
  • Advanced Analytics using R
  • Applied Statistics
  • Case Study Development
  • Business Simulation
Semester 4
  • Business Law & Corporate Governance
  • International Business
  • Entrepreneurial Management
  • Enterprise Systems
  • Project Work

Enterprise Technology And Data Center Architecture

Module 1 (Fabric Layer) (Week 1 to 4)

  • Fiber Channel Protocol Design
  • Fiber Cannel Protocol configuration and implementation
  • DAS, NAS & SAN modeling
  • Fiber Channel Arbitrated loop design and structure
  • Storage Area Networking Architecture
  • Fabric Addressing
  • Fabric Network design and configuration
  • Brocade FC SAN switches
  • -Network communications design and configuration including trucnking and performance tuning
  • -Zoning configuration
  • Storage Network Security Principals
  • Logs Decoding and troubleshooting

Module 2 (Enterprise Server Architecture ):
(Week 5 to 7)

  • Industrial standard Server Modeling HPE, Dell & IBM
  • Server Architecture
  • Redundancy configuration
  • Storage volume Management
  • Multipath Management
  • Server Virtualization
  • Performance analysis
  • Troubleshooting and diagnostics.

Module 3 ( Enterprise Storage Architecture ) (Week 8 to 10)

  • Enterprise Storage Architecture
  • Storage Architecture
  • Storage Controller front end and back end connectivity
  • Configuration and design on (Net App, HPE, EMC2)
  • Management and Error Debugging
  • Zero Down Time Backup
  • Virtualization
  • Disaster Recovery

Module 4 (Data Center Architecture):
(Week 11 & 12)

  • Integration and connectivity of
  • - Server Layer, Fabric Layer, Storage Layer
  • DC network and traffic management
  • FC, IP, ATM protocol flow control
  • Data center design and Site Replication

Program Components




Equivalent to MBA

International Exposure

Value added courses

Minor and Major Specializations in different subjects

Latest and Updated Curriculum as per the industry requirements

Salient Features

Responsive Layout

Students would be given an Macbook Air at the beginning of the first year

Retina Graphics

Students would be taken for an International educational tour (5 nights 6 days) during the third semester.

Powerful Performance

Industrial visits would be part of the study program

Responsive Layout

Outbound training for all the students at the beginning of the first year (to inculcate team spirit and better understanding of each other)

Retina Graphics

Uniforms for each student consisting of 2 trousers, 2 shirts and a tie every year. ( one Blazer at the beginning of the first year)

Powerful Performance

The fee payable is inclusive of all the other statutory payments towards the university(Hostel fee separate)

Responsive Layout

All students are eligible to get Educational Loan. Students can pay fee on monthly basis.

Retina Graphics

Free access to quality management e-books and journals.

Powerful Performance

Courses taught by faculties with International Exposure.