Curriculum structure of PGPM Analytics & Digital Program

Term Wise Curriculum

All
Foundation Courses
Analytics
Digital
Leadership
Courses & Careers

All

Foundation Courses

Marketing Management Prof. A.N.Bhattacharya 25

Prof. A.N.Bhattacharya

MBA in Marketing, Banaras Hindu University
Teaching & Industry Experience – 33 Years

This course introduces the fundamentals of marketing management, basic marketing concepts and elements of marketing practice as applied to organizations globally. While introducing the principles of marketing, this course will allow students to apply these concepts to address problems and opportunities facing marketers, both domestically and internationally By the end of this course it is expected that the student will be able to understand how to identify ‘need’, asses what the customer/consumer ‘wants’, and how to generate ‘demand’, in addition to learning about the customer centric approach of modern day marketing.
Organization Behaviour Prof Arjya Chakravarty 25

Prof Arjya Chakravarty

B.Sc, MBA ICF, Royal Roads University
Industry and Teaching Experience – 26+ Years

Organisation Behaviour (OB) is a foundation course to understand behavior of people in organisations. It deals with employees and their behaviour from three perspectives: as an individual, as a team member and from the perspective of the organisation and the environment it exists in. It incorporates the application of principles of Psychology, Sociology, Social Psychology and Anthropology to understand and mold behaviour of people in organisations. This course will provide basic knowledge of main ideas and key theories relating to OB, enhance students’ appreciation on OB and internalise the concepts of OB, while also teaching how to analyse behaviour of individuals and groups and determine how they can be moulded to organisational objectives
Managerial Economics Visiting Faculty 25

Visiting Faculty

This course will enable understanding of the fundamentals of the working of an economy (at both micro and macro level) while also giving the ability to appreciate / analyze the various aspects of the economic environment in which an organization works. Further, study of this topic will help to realize how micro economic issues like elasticity, cost, market behaviour etc effect the strategies of a firm & relate the different concepts of economics to the other management disciplines. Aggregates that track growth of an economy like India, Influence of Government sector on the economy and role of a central bank (Reserve Bank of India) will also be explored.
Accounting for Managers Prof. Vivek Bhatia 25

Prof. Vivek Bhatia

CFA, Institute of Chartered Financial Analyst of India
Master in Finance & Control (M.F.C.), Punjab University
Teaching Experience – 22 Years

The objective of this course is to introduce complex problems of financial accounting and understand the roles of finance and accounting in business. By the end of this course, the students should be able to use various accounting terms, know the basics of accounting procedures, prepare, read & analyze financial statements. At the same time, the course will also provide a deep understanding of Cost Concepts along with their behavior for decision making & the basics of budgeting and variance analysis for control.
Financial Management Prof. Neetika Batra 25

Prof. Neetika Batra

Master of Finance & Control, Delhi University
Ph. D. Banking and Finance, Delhi University
Teaching & Industry Experience – 30 Years

This is a basic course on financial management. The principles of financial management are general in nature and are therefore, applicable in all spheres, including corporate setup, self business, own money/ savings, and so on. By the end of this course, the students should be able to understand the basic principles governing financial decision-making, including those relating to Financing Decisions, Investment decisions and Funds Management decisions
Operations and Supply Chain Management and Block Chain Prof. Narain Gupta 25

Prof. Narain Gupta

Doctoral Education Production and Quantitative Methods, IIM Ahmedabad
M Tech, Industrial Engineering & Management, IIT Kharagpur
Teaching & Industry Experience – 13 Years

This course is an introduction to the supply chain and logistics industry. Learn to analyze and improve business processes in services or in manufacturing by learning how to increase productivity and deliver higher quality standards. Key concepts include process analysis, bottlenecks, flows rates, and inventory levels, and more.

The course covers how blockchain technology is being used to enable and deliver more secure, transparent and efficient supply chains
Corporate Strategy Prof. Arvind Nair 25

Prof. Arvind Nair

PGDBM, IIM Calcutta
Teaching & Industry Experience – 29 Years.

The aim of the course is to appreciate the principles that are at the foundation of formulating strategy and developing the ability to analyse industry status and assess opportunities and threats to a given industry. Formulating the right strategies to gain a competitive advantage at both business and corporate levels is also a critical part of the course as is the ability to analyse strengths and weakness of an enterprise and formulate winning strategy in the face of given competitive pressures.
Project Management Prof. Ravindra Ojha 25

Prof. Ravindra Ojha

Master of Engineering, Asian Institute of Technology Bangkok
Teaching & Industry Experience – 30+ years

Learn practical ways to explore and understand your goals from the outset of a business project, and to consider all the factors that may affect its execution. Step by step you will learn how to plan, scope, schedule, cost and manage your project from beginning to end. Since every project relies on the people who are delivering it, the course also enables you to explore how you can effectively communicate, manage people and employ leadership skills to successfully deliver your own project.

Analytics

Statistical Techniques Prof. Bianka Ray Chaudhury 25

Prof. Bianka Ray Chaudhury

Ph.D., MBA, MA
Industry and Teaching Experience : 15 Years

The course aims at building statistical reasoning for managerial decisions. Emphasis is on application rather than in-depth coverage of traditional statistical methods. Topics include descriptive statistics, probability, probability distribution, estimation, single sample and two sample hypothesis tests for means and proportions, Chi-square testing and Correlation-Regression.
Optimization Techniques Prof. Debabrata Das 25

Prof. Debabrata Das

Ph.D., M.Sc., B.Sc.
Industry and Teaching Experience : 23 Years

Upon completing this course the students would be able to understand how to translate a real-world problems, given in words, into a mathematical formulation, design algorithms through complexity analysis, solution techniques using computer software, ability to analyze and interpret the solutions obtained and translate into directives for action and the presentation skills of both oral and written form to different audiences.
Business Research Methodology Prof. Debabrata Das 20

Prof. Debabrata Das

Ph.D., M.Sc., B.Sc.
Industry and Teaching Experience : 23 Years

The learning focus for this course is on developing business research skills. It will bring together students’ theoretical and practical appreciation of how to identify and investigate business opportunities or problems as well as analyse data and conclude on the relevance of research findings. As the research objective is identified, the student will be introduced to a range of relevant quantitative and qualitative business research methods and how to select from these in determining a project design.
Software for Analytics ( R, Python ) Prof. Debabrata Das & Vinod Raju 20

Prof. Debabrata Das & Vinod Raju

Ph.D., M.Sc., B.Sc.
Industry and Teaching Experience : 23 Years

R – This involves getting familiar with R and R studio environment and learn to use packages and libraries; learning to set working directory, understand and use different data types in R and load internal datasets; learning how to import different types of datasets in R and manipulate data as per business requirement; learning how to handle missing values, outliers, and categorical values and use summary statistics and visualizations to find patterns required for the analysis.

Python – This course provides an overview of the syntax and semantics of Python programming language; understanding the data types (numeric types, strings, Lists, Tuples, Dictionaries) and conditional statements (if-else block); working with loops and user defined functions (for loops, while loops, iterators), UDF and lambda expression; introduction to NumPy and Pandas and Data wrangling using Pandas.
Big Data Analytics ( Hadoop, Spark, Pig)* Prof. Vinod Raju 25

Prof. Vinod Raju

This course provides an in-depth understanding of what is meant by Big Data, why is it so relevant in current scenario, and what are the challenges of traditional systems in solving BIG DATA problems. It provides an introduction to Hadoop architecture, setting up the software tools to get started working with Hadoop, understanding HDFS & Map Reduce (demo), overview of Hadoop ecosystem tools (HDFS, PIG, HIVE, SQOOP, FLUME). It enables an understanding of what is SPARK and why is it used, as also an understanding of SPARK ecosystem tools (Spark SQL, SPARK ML Lib & Spark streaming), demonstration of SPARK-SQL, using the google cloud platform to setup Hadoop and Spark, demonstration of using RStudio to launch jobs in a Spark cluster.
Text Analytics (Natural Language Processing) Prof. Debabrata Das 20

Prof. Debabrata Das

Ph.D., M.Sc., B.Sc.
Industry and Teaching Experience : 23 Years

Text Analytics and NLP is one of the fastest growing field in the business analytics job specializations as a result of the extensive use of electronic databases such as facebook and twitter for record keeping and electronic commerce in the digital economy.

Learn text analytics to get actionable insights from qualitative or text data, resulting in smarter decisions and better business outcomes, to architect business technologies and design text analytics processes to get valuable, actionable insights.
Valuation & Financial Modeling Prof. Neetika Batra 25

Prof. Neetika Batra

Master of Finance & Control, Delhi University
Ph. D. Banking and Finance, Delhi University
Teaching & Industry Experience – 30 Years

The crux of understanding and application of finance domain lies in being able to conduct a skillful valuation and to build a robust financial model based on future projections. Most of the decisions of finance, whether of investment or of financing hinge upon valuation.

Learning valuation and financial modeling gives you exposure to a wide range of applications in all business functions of Marketing, HR, Operations, etc., in analytics, and within finance, especially in areas of M&As, corporate finance, project finance, portfolio management.
HR Analytics Prof. Debabrata Das 20

Prof. Debabrata Das

Ph.D., M.Sc., B.Sc.
Industry and Teaching Experience : 23 Years

Learn tools and techniques that allows companies to use data and metrics in order to better understand their employees in the workspace. Students will learn how to use insights derived in employee engagement, to measure the outcomes driven by data profiling, in identifying metrics that influence attrition and modelling the data for lowering attrition, and in identifying the impact of L&D, through evidence-based management, in enhancing employee performance.
Logistics and Supply Chain Analytics Prof. Debabrata Das 20

Prof. Debabrata Das

Ph.D., M.Sc., B.Sc.
Industry and Teaching Experience : 23 Years

Supply Chain Analytics will provide an understanding of key areas of logistics and supply chain where relevant analysis of data may be needed. The role of logistics in the supply chain within a firm as well as between organizations linked within a given supply network. Topics cover issues such as introduction to the basic terms of logistics, distribution and transportation alternatives, the connection between logistics and marketing, the estimation of value and costs in logistics, sourcing and supply management, supply chain planning and control strategies and logistics future challenges and opportunities
Finance and Risk Analytics Prof. R Srinivasan 20

Prof. R Srinivasan

Ph. D. Risk Management, Faculty of Management Studies
Teaching & Industry Experience – 33Years

Learn tools and techniques for Assessing Financial Performances of business and using data driven insights for strategic planning, budgeting, forecasting, financial analysis, enterprise performance management (EPM), and more. They can help increase profitability, track and control costs, and tightly align operations with business strategy
Customer Analytics Prof. Prashant Verma 20

Prof. Prashant Verma

M.Sc Statistics, Doctor Bhim Rao Ambedkar University
Teaching Experience – 18 Years

This course helps to enables learning to Determine the relative importance the customer attaches to product attributes and how a customer ranks the level of each product attribute. Understand to calculate a customer’s lifetime value that increase the company’s profitability by using discount rate, and valuation of the company using customer’s lifetime value. Learn tools and methods to acquire new customers and retain current customers by optimizing money spend.
Marketing Analytics Prof. Debabrata Das 20

Microsoft Learning Partner Platifi

Prof. Debabrata Das

Ph.D., M.Sc., B.Sc.
Industry and Teaching Experience : 23 Years

Measure, manage and analyze marketing performance to maximize its effectiveness and optimize return on investment. Learn beyond the obvious sales and lead generation applications, marketing analytics can offer profound insights into customer preferences and trends.
Analytics in Industry (Banking, Retail, Telecom, Health care, etc.) External Faculty 25

External Faculty

This is an application-oriented course on use of analytics to certain industries like banking, retail, healthcare and telecom. Practitioners are invited from each industry and workshops are conducted with real data to understand how the knowledge of analytics is applied to that industry to solve typical business problems.
Digital Analytics Prof. Prashant Verma 20

Prof. Prashant Verma

M.Sc Statistics, Doctor Bhim Rao Ambedkar University
Teaching Experience – 18 Years

The learning focus for this course is on developing digital analytics skills for marketing domain. Marketing managers often are required to make decisions on media selection, targeting campaigns for customers, identify the most important attributes of a product perceived by its customers. Digital analytics enables marketers to use available data in the organisation or gathered it through research to measure, manage and analyze marketing processes. Digital analytics can offer actionable insights for customer centric as well as process centric marketing decisions. This course will use datasets and offers hands-on experience on evergreen tool- MS Excel for doing analysis related to the topics mentioned below. Upon completing this course, the students would be able to use digital analytics for the following: Web and Social Media Analytics, Text Mining, Sentiment Analysis, Collaborative Filtering, RFM Analysis and Optimizing Direct Mail Campaigns, Pay per Click (PPC) Online Advertising

Digital

Digital Transformation-fundamentals for Business Managers Prof. Sanjeev Nikore 25
Prof. Sanjeev Nikore

B. Tech, IIT BHU , Varnasi
MBA, Faculty of Management Studies (FMS)
Teaching & Industry Experience – 36 Years

The course will help to provide:
- Overview of digital transformation, 9 key digital technologies, online business models, Network and platform economy, COVID impact.
- How insightful organizations are leveraging digital technologies and platforms to create unique customer experience, value chain efficiency, automation and competitive advantage (case studies).
- What lessons the COVID outbreak has taught us with respect to reshaping our business and how digital transformation can prepare us for sustenance, business continuity and growth.
- Case study on Digital Transformation in India.
Cloud Computing and digital platforms Microsoft 25

Microsoft

Learn the following concepts & tools as part of cloud computing

Cloud Basics and Fundamentals, Networking, Virtualization, Deployment, Configuration and Operations, Assessment of legacy applications for migration to Cloud, Hybrid Cloud Platforms, Techniques and Case Studies on Successful Migration, Cloud Economics, Deployment of IAAS, PAAS, SAAS platforms, Building Cloud Native Apps and their deployment, Cloud Operations and Optimization, Cloud Management Platforms(CMP), Industry structure and major players, Hands on working exposure on Microsoft Azure Cloud and Intelligent Cloud Hub.

Applications and platforms on Cloud wrt HR, Marketing, Finance, Operations and Analytics. Security on Cloud. Industry platforms such as Healthcare, Automotive, Banking etc.
Digital Marketing Prof. Manu Malhotra 25
Prof. Manu Malhotra

Manager, Advertising Cloud, Adobe
MBA, SOIL Institute of Management
Teaching & Industry Experience – 11 years

Understanding the domain of Digital Marketing from Business Leadership Perspective, including:
- The digital marketing eco-system – What, Why and How | What constitutes
- Digital Marketing and what is its size globally.
- The various digital marketing channels, how they are evolving & what are their roles.
- When to use which marketing channels
- Search Marketing Fundamentals – SEO and SEM
- Social Media Marketing – Facebook, LinkedIn, Twitter and Social Media Marketing Automation
- Digital Marketing Ad-tech space – Marketing Clouds & Automation | AI backed smart solutions
- Current / Futuristic Roles in Digital Marketing
- How to curate an Integrated Digital Marketing Plan
AI and ML :Concepts and Platforms Microsoft 25

Microsoft

Introduction and hands on experience with Microsoft’s data science, ML and AI platforms. Insight into industry, functional (HR, Marketing, Finance, Operations, Corporate) and societal applications. Building a data science AI & ML model for business process optimization. Specific topics covered:
AI and ML :Industry applications and Use Cases Microsoft 25

Microsoft

The objective of this course is to Gain deep understanding of where AI,ML and Data Sciences can make an impact, develop hands on expertise of successfully carrying out a data science project in a business situation and gain insights into how AI,ML and data sciences can enable not only business continuity but also competitive advantage in the VUCA world.
Data Exploration and Visualization Tools ( Using Power BI) Microsoft 20

Microsoft

Key Concepts convered as part of this course are as follows:

Introduction to Microsoft Power BI, the key features of Power BI workflow, Desktop application, BI service, and file data sources, sourcing data from web (OData, Azure), building dashboard, data visualization, publishing to cloud, DAX data computation, row context, filter context, Analytics Pane, creating columns and measures, data drill down and drill up, creating tables, binned tables, data modelling and relationships, the Power BI components like Power View, Map, Query, Pivot, Power Q & A, understanding advanced visualization
IOT Platforms and Applications Microsoft 15

Microsoft

Gain Indepth knowledge and hand on training on Microsoft Platform plus exposure to all Industry leading platforms. Industry case studies and project work. Understanding IOT -concepts, frameworks, connectivity, platforms. Industry Use Cases Microsoft tools and Platforms Practice sessions via Microsoft Intelligent Cloud Hub. Project Work on enabling remote operations in various industry verticals
Block Chain technology Applications & Platforms Microsoft 25

Microsoft

Understanding Blockchain technology including business applications such as smart contracts, distributed ledger and platforms such as Hyperledger and Ethereum. Industry examples include Supply Chain, Foreign Exchange in Banking etc.
Automation in Business (includes RPA,AR&VR) Microsoft 25

Microsoft

Understand the evolution of industrial automation and present-day applicability viz digital workplaces, industrial automation & robotics, business process automation and RPA, AR, VR, Mixed Reality, 3D printing, Robotics, IOT and Drones. In depth understanding and appreciation of concepts such as “lights out” & digital manufacturing, health and environment, convertibility and turnaround time, automation tools, cognitive automation, home automation, Industry 4.0 and industry use cases.

Get an appreciation of the societal impact especially with regard to impact of COVID 19. Hands on exposure to Power Automate and IOT Platform.
Societal impact of Digitalization including ethics Prof Sanjeev Nikore and External Faculty 25
Prof Sanjeev Nikore and External Faculty

B. Tech, IIT BHU , Varnasi
MBA, Faculty of Management Studies (FMS)
Teaching & Industry Experience – 36 Years

The course helps to provide an understanding of:
- Future of Work -challenges and new operating models enabled by digitalization.
- New careers and job profiles-study by World Economic Forum -impact of digitalization.
- Future of Governance and Government -Citizen Interaction as impacted by Digital Technologies.
- Data privacy challenges and laws.
Cyber Security and Data Privacy Prof Jagdish Prasad 25
Prof Jagdish Prasad

The course broadly covers:
- Understanding the Cyberspace Environment & Security threat, the Attacks in Web, malicious Web Content, Email Attacks.
- Threats to Network Communications, Port Scanning, Denial of Service, Bots, Botnets, Network Encryption, Firewalls, Virtual Private Networks.
- Intrusion Detection and Prevention, Incidents Management, Business Continuity Planning.
- Cyber Crime, Classifications of Cybercrime, Tools and Methods used in Cybercrime, Cyber laws and Data Privacy, Computer Forensics, Network Forensics and Anti Forensics.
Digital Strategy and Organisation Change Management Prof Sanjeev Nikore and Prof. Anil Sachdev 25
Prof Sanjeev Nikore and Prof. Anil Sachdev

B. Tech, IIT BHU , Varnasi
MBA, Faculty of Management Studies (FMS)
Teaching & Industry Experience – 36 Years

Anil Sachdev,
Founder, SOIL Institute of Management

An interdisciplinary program with focus on technology, strategy, leadership, environment and organisation change management to create a digital playbook for your organization, strengthen capabilities to use disruptive digital technologies, automation, environmental trends ,regulatory & public policies and business models to redesign renovate and execute innovative and viable business processes, services, products , strategies and organizational structures, collaboration, leadership empowerment, teamwork and decision making in the post COVID world. It provides an understanding of:
- How Digital technologies and people & organization changes will combine to build the future of work
- Change in organisation structures with more ‘liquid’ organisations, & how leadership will need to adapt,
- 9 core digital technologies which will power newer kinds of organisation structures like DAOs (or distributed autonomous organisations) where policy will be governed by code.
- Develop an indepth understanding of organizational SWOT as well as environmental risks and work out various scenarios wrt organization redesign for business continuity and growth
Business Innovation Through Digitalization Prof Sanjeev Nikore and Prof. Manu Malhotra 15
Prof. Mita Brahma

Manager, Advertising Cloud, Adobe
MBA, SOIL Institute of Management
Teaching & Industry Experience – 11 years

The objective of this course is to understand how innovation can be created in a business environment -the innovation “process”, gain an appreciation of how the process of innovation can be incubated and fostered in an organization, change in behavior and processes as well as structure required, get an understanding of some of the tools and techniques including use of digital technologies, carry out real life projects. It covers:
- History of Business Innovation -top innovations of the 20th and 21st Century.
- Innovation models and processes -convergence with digital technologies and transformation -how to apply it in a business environment.
- How to create an innovation program and bring about change in individuals and organizations to foster innovation and innovative behavior.
- Innovation Challenge Hackathon

Practice of Leadership

Yoga and Wellness Prof. Susie Roy 25

Prof. Susie Roy
Self Leadership Prof. Anil Sachdev 30

Prof. Anil Sachdev

Founder & CEO, SOIL

MBA, Pune University
Industry and Teaching Experience – 40 Years

Good consultants demonstrate skills that offer concrete and specific information to help solve a problem or improve a process for a business. This course will focus on participants’ ability to apply the soft skills needed to be an effective consultant using the ‘collaborative’ model of consulting while gaining insights on what they need to do to develop their own soft skills to become effective consultants.
Himalayan Learning Retreat at Sidhbari 30
Pillars of Inspired Leadership Through Theatre Prof. Lushin Dubey 30

Prof. Lushin Dubey

MBA, IIM Ahmedabad
Teaching & Industry Experience – 11 Years

Students work in teams taking up the role of executives of a virtual company in charge of making various organizational decisions on Marketing, Finance, Operations, etc., Students use their knowledge of business analytics to derive insights from the available historical data of their own companies. Students are then required to make key decisions that drive the company towards success. This is a teamwork-based simulation. The duration of each simulation lasts for 2-3 Weeks.
Leadership Series, Happiness Workshop 85
Social Innovation Program (SIP) 100

Integrating Courses & Careers

Consulting Skills Prof. Anil Sachdev 30

Prof. Anil Sachdev
Capstone Simulation Prof. Veer Mehta 30

Prof. Veer Mehta
Design Thinking Prof Vijay Ghei 25

Prof Vijay Ghei

Design Thinking Expert and Practitioner
Industry and Teaching Experience – 35 Years

This course will introduce you to the Design Thinking process and illustrate best practices for each step along the way. You’ll find this is an incredibly powerful tool for any field: from Engineering, Business Applications to Entrepreneurship and beyond.
Communicating with Impact Prof. Kanupriya Sekhri 25

Prof. Kanupriya Sekhri
Mentoring 60
E Cell, Live projects, alumni sessions 115
Student Activities (Clubs, Committees), Events 100

Foundation Courses

Marketing Management Prof. A.N.Bhattacharya 25

Prof. A.N.Bhattacharya

MBA in Marketing, Banaras Hindu University
Teaching & Industry Experience – 33 Years

This course introduces the fundamentals of marketing management, basic marketing concepts and elements of marketing practice as applied to organizations globally. While introducing the principles of marketing, this course will allow students to apply these concepts to address problems and opportunities facing marketers, both domestically and internationally By the end of this course it is expected that the student will be able to understand how to identify ‘need’, asses what the customer/consumer ‘wants’, and how to generate ‘demand’, in addition to learning about the customer centric approach of modern day marketing.
Organization Behaviour Prof Arjya Chakravarty 25

Prof Arjya Chakravarty

B.Sc, MBA ICF, Royal Roads University
Industry and Teaching Experience – 26+ Years

Organisation Behaviour (OB) is a foundation course to understand behavior of people in organisations. It deals with employees and their behaviour from three perspectives: as an individual, as a team member and from the perspective of the organisation and the environment it exists in. It incorporates the application of principles of Psychology, Sociology, Social Psychology and Anthropology to understand and mold behaviour of people in organisations. This course will provide basic knowledge of main ideas and key theories relating to OB, enhance students’ appreciation on OB and internalise the concepts of OB, while also teaching how to analyse behaviour of individuals and groups and determine how they can be moulded to organisational objectives
Managerial Economics Visiting Faculty 25

Visiting Faculty

This course will enable understanding of the fundamentals of the working of an economy (at both micro and macro level) while also giving the ability to appreciate / analyze the various aspects of the economic environment in which an organization works. Further, study of this topic will help to realize how micro economic issues like elasticity, cost, market behaviour etc effect the strategies of a firm & relate the different concepts of economics to the other management disciplines. Aggregates that track growth of an economy like India, Influence of Government sector on the economy and role of a central bank (Reserve Bank of India) will also be explored.
Accounting for Managers Prof. Vivek Bhatia 25

Prof. Vivek Bhatia

CFA, Institute of Chartered Financial Analyst of India
Master in Finance & Control (M.F.C.), Punjab University
Teaching Experience – 22 Years

The objective of this course is to introduce complex problems of financial accounting and understand the roles of finance and accounting in business. By the end of this course, the students should be able to use various accounting terms, know the basics of accounting procedures, prepare, read & analyze financial statements. At the same time, the course will also provide a deep understanding of Cost Concepts along with their behavior for decision making & the basics of budgeting and variance analysis for control.
Financial Management Prof. Neetika Batra 25

Prof. Neetika Batra

Master of Finance & Control, Delhi University
Ph. D. Banking and Finance, Delhi University
Teaching & Industry Experience – 30 Years

This is a basic course on financial management. The principles of financial management are general in nature and are therefore, applicable in all spheres, including corporate setup, self business, own money/ savings, and so on. By the end of this course, the students should be able to understand the basic principles governing financial decision-making, including those relating to Financing Decisions, Investment decisions and Funds Management decisions
Operations and Supply Chain Management and Block Chain Prof. Narain Gupta 25

Prof. Narain Gupta

Doctoral Education Production and Quantitative Methods, IIM Ahmedabad
M Tech, Industrial Engineering & Management, IIT Kharagpur
Teaching & Industry Experience – 13 Years

This course is an introduction to the supply chain and logistics industry. Learn to analyze and improve business processes in services or in manufacturing by learning how to increase productivity and deliver higher quality standards. Key concepts include process analysis, bottlenecks, flows rates, and inventory levels, and more.

The course covers how blockchain technology is being used to enable and deliver more secure, transparent and efficient supply chains
Corporate Strategy Prof. Arvind Nair 25

Prof. Arvind Nair

PGDBM, IIM Calcutta
Teaching & Industry Experience – 29 Years.

The aim of the course is to appreciate the principles that are at the foundation of formulating strategy and developing the ability to analyse industry status and assess opportunities and threats to a given industry. Formulating the right strategies to gain a competitive advantage at both business and corporate levels is also a critical part of the course as is the ability to analyse strengths and weakness of an enterprise and formulate winning strategy in the face of given competitive pressures.
Project Management Prof. Ravindra Ojha 25

Prof. Ravindra Ojha

Master of Engineering, Asian Institute of Technology Bangkok
Teaching & Industry Experience – 30+ years

Learn practical ways to explore and understand your goals from the outset of a business project, and to consider all the factors that may affect its execution. Step by step you will learn how to plan, scope, schedule, cost and manage your project from beginning to end. Since every project relies on the people who are delivering it, the course also enables you to explore how you can effectively communicate, manage people and employ leadership skills to successfully deliver your own project.

Analytics

Statistical Techniques Prof. Bianka Ray Chaudhury 25

Prof. Bianka Ray Chaudhury

Ph.D., MBA, MA
Industry and Teaching Experience : 15 Years

The course aims at building statistical reasoning for managerial decisions. Emphasis is on application rather than in-depth coverage of traditional statistical methods. Topics include descriptive statistics, probability, probability distribution, estimation, single sample and two sample hypothesis tests for means and proportions, Chi-square testing and Correlation-Regression.
Optimization Techniques Prof. Debabrata Das 25

Prof. Debabrata Das

Ph.D., M.Sc., B.Sc.
Industry and Teaching Experience : 23 Years

Upon completing this course the students would be able to understand how to translate a real-world problems, given in words, into a mathematical formulation, design algorithms through complexity analysis, solution techniques using computer software, ability to analyze and interpret the solutions obtained and translate into directives for action and the presentation skills of both oral and written form to different audiences.
Business Research Methodology Prof. Debabrata Das 20

Prof. Debabrata Das

Ph.D., M.Sc., B.Sc.
Industry and Teaching Experience : 23 Years

The learning focus for this course is on developing business research skills. It will bring together students’ theoretical and practical appreciation of how to identify and investigate business opportunities or problems as well as analyse data and conclude on the relevance of research findings. As the research objective is identified, the student will be introduced to a range of relevant quantitative and qualitative business research methods and how to select from these in determining a project design.
Software for Analytics ( R, Python ) Prof. Debabrata Das & Vinod Raju 20

Prof. Debabrata Das & Vinod Raju

Ph.D., M.Sc., B.Sc.
Industry and Teaching Experience : 23 Years

R – This involves getting familiar with R and R studio environment and learn to use packages and libraries; learning to set working directory, understand and use different data types in R and load internal datasets; learning how to import different types of datasets in R and manipulate data as per business requirement; learning how to handle missing values, outliers, and categorical values and use summary statistics and visualizations to find patterns required for the analysis.

Python – This course provides an overview of the syntax and semantics of Python programming language; understanding the data types (numeric types, strings, Lists, Tuples, Dictionaries) and conditional statements (if-else block); working with loops and user defined functions (for loops, while loops, iterators), UDF and lambda expression; introduction to NumPy and Pandas and Data wrangling using Pandas.
Big Data Analytics ( Hadoop, Spark, Pig)* Prof. Vinod Raju 25

Prof. Vinod Raju

This course provides an in-depth understanding of what is meant by Big Data, why is it so relevant in current scenario, and what are the challenges of traditional systems in solving BIG DATA problems. It provides an introduction to Hadoop architecture, setting up the software tools to get started working with Hadoop, understanding HDFS & Map Reduce (demo), overview of Hadoop ecosystem tools (HDFS, PIG, HIVE, SQOOP, FLUME). It enables an understanding of what is SPARK and why is it used, as also an understanding of SPARK ecosystem tools (Spark SQL, SPARK ML Lib & Spark streaming), demonstration of SPARK-SQL, using the google cloud platform to setup Hadoop and Spark, demonstration of using RStudio to launch jobs in a Spark cluster.
Text Analytics (Natural Language Processing) Prof. Debabrata Das 20

Prof. Debabrata Das

Ph.D., M.Sc., B.Sc.
Industry and Teaching Experience : 23 Years

Text Analytics and NLP is one of the fastest growing field in the business analytics job specializations as a result of the extensive use of electronic databases such as facebook and twitter for record keeping and electronic commerce in the digital economy.

Learn text analytics to get actionable insights from qualitative or text data, resulting in smarter decisions and better business outcomes, to architect business technologies and design text analytics processes to get valuable, actionable insights.
Valuation & Financial Modeling Prof. Neetika Batra 25

Prof. Neetika Batra

Master of Finance & Control, Delhi University
Ph. D. Banking and Finance, Delhi University
Teaching & Industry Experience – 30 Years

The crux of understanding and application of finance domain lies in being able to conduct a skillful valuation and to build a robust financial model based on future projections. Most of the decisions of finance, whether of investment or of financing hinge upon valuation.

Learning valuation and financial modeling gives you exposure to a wide range of applications in all business functions of Marketing, HR, Operations, etc., in analytics, and within finance, especially in areas of M&As, corporate finance, project finance, portfolio management.
HR Analytics Prof. Debabrata Das 20

Prof. Debabrata Das

Ph.D., M.Sc., B.Sc.
Industry and Teaching Experience : 23 Years

Learn tools and techniques that allows companies to use data and metrics in order to better understand their employees in the workspace. Students will learn how to use insights derived in employee engagement, to measure the outcomes driven by data profiling, in identifying metrics that influence attrition and modelling the data for lowering attrition, and in identifying the impact of L&D, through evidence-based management, in enhancing employee performance.
Logistics and Supply Chain Analytics Prof. Debabrata Das 20

Prof. Debabrata Das

Ph.D., M.Sc., B.Sc.
Industry and Teaching Experience : 23 Years

Supply Chain Analytics will provide an understanding of key areas of logistics and supply chain where relevant analysis of data may be needed. The role of logistics in the supply chain within a firm as well as between organizations linked within a given supply network. Topics cover issues such as introduction to the basic terms of logistics, distribution and transportation alternatives, the connection between logistics and marketing, the estimation of value and costs in logistics, sourcing and supply management, supply chain planning and control strategies and logistics future challenges and opportunities
Finance and Risk Analytics Prof. R Srinivasan 20

Prof. R Srinivasan

Ph. D. Risk Management, Faculty of Management Studies
Teaching & Industry Experience – 33Years

Learn tools and techniques for Assessing Financial Performances of business and using data driven insights for strategic planning, budgeting, forecasting, financial analysis, enterprise performance management (EPM), and more. They can help increase profitability, track and control costs, and tightly align operations with business strategy
Customer Analytics Prof. Prashant Verma 20

Prof. Prashant Verma

M.Sc Statistics, Doctor Bhim Rao Ambedkar University
Teaching Experience – 18 Years

This course helps to enables learning to Determine the relative importance the customer attaches to product attributes and how a customer ranks the level of each product attribute. Understand to calculate a customer’s lifetime value that increase the company’s profitability by using discount rate, and valuation of the company using customer’s lifetime value. Learn tools and methods to acquire new customers and retain current customers by optimizing money spend.
Marketing Analytics Prof. Debabrata Das 20

Microsoft Learning Partner Platifi

Prof. Debabrata Das

Ph.D., M.Sc., B.Sc.
Industry and Teaching Experience : 23 Years

Measure, manage and analyze marketing performance to maximize its effectiveness and optimize return on investment. Learn beyond the obvious sales and lead generation applications, marketing analytics can offer profound insights into customer preferences and trends.
Analytics in Industry (Banking, Retail, Telecom, Health care, etc.) External Faculty 25

External Faculty

This is an application-oriented course on use of analytics to certain industries like banking, retail, healthcare and telecom. Practitioners are invited from each industry and workshops are conducted with real data to understand how the knowledge of analytics is applied to that industry to solve typical business problems.
Digital Analytics Prof. Prashant Verma 20

Prof. Prashant Verma

M.Sc Statistics, Doctor Bhim Rao Ambedkar University
Teaching Experience – 18 Years

The learning focus for this course is on developing digital analytics skills for marketing domain. Marketing managers often are required to make decisions on media selection, targeting campaigns for customers, identify the most important attributes of a product perceived by its customers. Digital analytics enables marketers to use available data in the organisation or gathered it through research to measure, manage and analyze marketing processes. Digital analytics can offer actionable insights for customer centric as well as process centric marketing decisions. This course will use datasets and offers hands-on experience on evergreen tool- MS Excel for doing analysis related to the topics mentioned below. Upon completing this course, the students would be able to use digital analytics for the following: Web and Social Media Analytics, Text Mining, Sentiment Analysis, Collaborative Filtering, RFM Analysis and Optimizing Direct Mail Campaigns, Pay per Click (PPC) Online Advertising

Digital

Digital Transformation-fundamentals for Business Managers Prof. Sanjeev Nikore 25
Prof. Sanjeev Nikore

B. Tech, IIT BHU , Varnasi
MBA, Faculty of Management Studies (FMS)
Teaching & Industry Experience – 36 Years

The course will help to provide:
- Overview of digital transformation, 9 key digital technologies, online business models, Network and platform economy, COVID impact.
- How insightful organizations are leveraging digital technologies and platforms to create unique customer experience, value chain efficiency, automation and competitive advantage (case studies).
- What lessons the COVID outbreak has taught us with respect to reshaping our business and how digital transformation can prepare us for sustenance, business continuity and growth.
- Case study on Digital Transformation in India.
Cloud Computing and digital platforms Microsoft 25

Microsoft

Learn the following concepts & tools as part of cloud computing

Cloud Basics and Fundamentals, Networking, Virtualization, Deployment, Configuration and Operations, Assessment of legacy applications for migration to Cloud, Hybrid Cloud Platforms, Techniques and Case Studies on Successful Migration, Cloud Economics, Deployment of IAAS, PAAS, SAAS platforms, Building Cloud Native Apps and their deployment, Cloud Operations and Optimization, Cloud Management Platforms(CMP), Industry structure and major players, Hands on working exposure on Microsoft Azure Cloud and Intelligent Cloud Hub.

Applications and platforms on Cloud wrt HR, Marketing, Finance, Operations and Analytics. Security on Cloud. Industry platforms such as Healthcare, Automotive, Banking etc.
Digital Marketing Prof. Manu Malhotra 25
Prof. Manu Malhotra

Manager, Advertising Cloud, Adobe
MBA, SOIL Institute of Management
Teaching & Industry Experience – 11 years

Understanding the domain of Digital Marketing from Business Leadership Perspective, including:
- The digital marketing eco-system – What, Why and How | What constitutes
- Digital Marketing and what is its size globally.
- The various digital marketing channels, how they are evolving & what are their roles.
- When to use which marketing channels
- Search Marketing Fundamentals – SEO and SEM
- Social Media Marketing – Facebook, LinkedIn, Twitter and Social Media Marketing Automation
- Digital Marketing Ad-tech space – Marketing Clouds & Automation | AI backed smart solutions
- Current / Futuristic Roles in Digital Marketing
- How to curate an Integrated Digital Marketing Plan
AI and ML :Concepts and Platforms Microsoft 25

Microsoft

Introduction and hands on experience with Microsoft’s data science, ML and AI platforms. Insight into industry, functional (HR, Marketing, Finance, Operations, Corporate) and societal applications. Building a data science AI & ML model for business process optimization. Specific topics covered:
AI and ML :Industry applications and Use Cases Microsoft 25

Microsoft

The objective of this course is to Gain deep understanding of where AI,ML and Data Sciences can make an impact, develop hands on expertise of successfully carrying out a data science project in a business situation and gain insights into how AI,ML and data sciences can enable not only business continuity but also competitive advantage in the VUCA world.
Data Exploration and Visualization Tools ( Using Power BI) Microsoft 20

Microsoft

Key Concepts convered as part of this course are as follows:

Introduction to Microsoft Power BI, the key features of Power BI workflow, Desktop application, BI service, and file data sources, sourcing data from web (OData, Azure), building dashboard, data visualization, publishing to cloud, DAX data computation, row context, filter context, Analytics Pane, creating columns and measures, data drill down and drill up, creating tables, binned tables, data modelling and relationships, the Power BI components like Power View, Map, Query, Pivot, Power Q & A, understanding advanced visualization
IOT Platforms and Applications Microsoft 15

Microsoft

Gain Indepth knowledge and hand on training on Microsoft Platform plus exposure to all Industry leading platforms. Industry case studies and project work. Understanding IOT -concepts, frameworks, connectivity, platforms. Industry Use Cases Microsoft tools and Platforms Practice sessions via Microsoft Intelligent Cloud Hub. Project Work on enabling remote operations in various industry verticals
Block Chain technology Applications & Platforms Microsoft 25

Microsoft

Understanding Blockchain technology including business applications such as smart contracts, distributed ledger and platforms such as Hyperledger and Ethereum. Industry examples include Supply Chain, Foreign Exchange in Banking etc.
Automation in Business (includes RPA,AR&VR) Microsoft 25

Microsoft

Understand the evolution of industrial automation and present-day applicability viz digital workplaces, industrial automation & robotics, business process automation and RPA, AR, VR, Mixed Reality, 3D printing, Robotics, IOT and Drones. In depth understanding and appreciation of concepts such as “lights out” & digital manufacturing, health and environment, convertibility and turnaround time, automation tools, cognitive automation, home automation, Industry 4.0 and industry use cases.

Get an appreciation of the societal impact especially with regard to impact of COVID 19. Hands on exposure to Power Automate and IOT Platform.
Societal impact of Digitalization including ethics Prof Sanjeev Nikore and External Faculty 25
Prof Sanjeev Nikore and External Faculty

B. Tech, IIT BHU , Varnasi
MBA, Faculty of Management Studies (FMS)
Teaching & Industry Experience – 36 Years

The course helps to provide an understanding of:
- Future of Work -challenges and new operating models enabled by digitalization.
- New careers and job profiles-study by World Economic Forum -impact of digitalization.
- Future of Governance and Government -Citizen Interaction as impacted by Digital Technologies.
- Data privacy challenges and laws.
Cyber Security and Data Privacy Prof Jagdish Prasad 25
Prof Jagdish Prasad

The course broadly covers:
- Understanding the Cyberspace Environment & Security threat, the Attacks in Web, malicious Web Content, Email Attacks.
- Threats to Network Communications, Port Scanning, Denial of Service, Bots, Botnets, Network Encryption, Firewalls, Virtual Private Networks.
- Intrusion Detection and Prevention, Incidents Management, Business Continuity Planning.
- Cyber Crime, Classifications of Cybercrime, Tools and Methods used in Cybercrime, Cyber laws and Data Privacy, Computer Forensics, Network Forensics and Anti Forensics.
Digital Strategy and Organisation Change Management Prof Sanjeev Nikore and Prof. Anil Sachdev 25
Prof Sanjeev Nikore and Prof. Anil Sachdev

B. Tech, IIT BHU , Varnasi
MBA, Faculty of Management Studies (FMS)
Teaching & Industry Experience – 36 Years

Anil Sachdev,
Founder, SOIL Institute of Management

An interdisciplinary program with focus on technology, strategy, leadership, environment and organisation change management to create a digital playbook for your organization, strengthen capabilities to use disruptive digital technologies, automation, environmental trends ,regulatory & public policies and business models to redesign renovate and execute innovative and viable business processes, services, products , strategies and organizational structures, collaboration, leadership empowerment, teamwork and decision making in the post COVID world. It provides an understanding of:
- How Digital technologies and people & organization changes will combine to build the future of work
- Change in organisation structures with more ‘liquid’ organisations, & how leadership will need to adapt,
- 9 core digital technologies which will power newer kinds of organisation structures like DAOs (or distributed autonomous organisations) where policy will be governed by code.
- Develop an indepth understanding of organizational SWOT as well as environmental risks and work out various scenarios wrt organization redesign for business continuity and growth
Business Innovation Through Digitalization Prof Sanjeev Nikore and Prof. Manu Malhotra 15
Prof. Mita Brahma

Manager, Advertising Cloud, Adobe
MBA, SOIL Institute of Management
Teaching & Industry Experience – 11 years

The objective of this course is to understand how innovation can be created in a business environment -the innovation “process”, gain an appreciation of how the process of innovation can be incubated and fostered in an organization, change in behavior and processes as well as structure required, get an understanding of some of the tools and techniques including use of digital technologies, carry out real life projects. It covers:
- History of Business Innovation -top innovations of the 20th and 21st Century.
- Innovation models and processes -convergence with digital technologies and transformation -how to apply it in a business environment.
- How to create an innovation program and bring about change in individuals and organizations to foster innovation and innovative behavior.
- Innovation Challenge Hackathon

Leadership

Yoga and Wellness Prof. Susie Roy 25

Prof. Susie Roy
Self Leadership Prof. Anil Sachdev 30

Prof. Anil Sachdev

Founder & CEO, SOIL

MBA, Pune University
Industry and Teaching Experience – 40 Years

Good consultants demonstrate skills that offer concrete and specific information to help solve a problem or improve a process for a business. This course will focus on participants’ ability to apply the soft skills needed to be an effective consultant using the ‘collaborative’ model of consulting while gaining insights on what they need to do to develop their own soft skills to become effective consultants.
Himalayan Learning Retreat at Sidhbari 30
Pillars of Inspired Leadership Through Theatre Prof. Lushin Dubey 30

Prof. Lushin Dubey

MBA, IIM Ahmedabad
Teaching & Industry Experience – 11 Years

Students work in teams taking up the role of executives of a virtual company in charge of making various organizational decisions on Marketing, Finance, Operations, etc., Students use their knowledge of business analytics to derive insights from the available historical data of their own companies. Students are then required to make key decisions that drive the company towards success. This is a teamwork-based simulation. The duration of each simulation lasts for 2-3 Weeks.
Leadership Series, Happiness Workshop 85
Social Innovation Program (SIP) 100

Courses & Careers

Consulting Skills Prof. Anil Sachdev 30

Prof. Anil Sachdev
Capstone Simulation Prof. Veer Mehta 30

Prof. Veer Mehta
Design Thinking Prof Vijay Ghei 25

Prof Vijay Ghei

Design Thinking Expert and Practitioner
Industry and Teaching Experience – 35 Years

This course will introduce you to the Design Thinking process and illustrate best practices for each step along the way. You’ll find this is an incredibly powerful tool for any field: from Engineering, Business Applications to Entrepreneurship and beyond.
Communicating with Impact Prof. Kanupriya Sekhri 25

Prof. Kanupriya Sekhri
Mentoring 60
E Cell, Live projects, alumni sessions 115
Student Activities (Clubs, Committees), Events 100

PGPM ADCurriculum

POWER OF CASE STUDY METHODOLOGY

Marketing Management Prof. A.N.Bhattacharya 25

Prof. A.N.Bhattacharya

Organization Behaviour Prof Arjya Chakravarty 25

Prof Arjya Chakravarty

Managerial Economics Visiting Faculty 25

Visiting Faculty

Accounting for Managers Prof. Vivek Bhatia 25

Prof. Vivek Bhatia

Financial Management Prof. Neetika Batra 25

Prof. Neetika Batra

Operations and Supply Chain Management and Block Chain Prof. Narain Gupta 25

Prof. Narain Gupta

Corporate Strategy Prof. Arvind Nair 25

Prof. Arvind Nair

Project Management Prof. Ravindra Ojha 25

Prof. Ravindra Ojha

Statistical Techniques Prof. Bianka Ray Chaudhury 25

Prof. Bianka Ray Chaudhury

Optimization Techniques Prof. Debabrata Das 25

Prof. Debabrata Das

Business Research Methodology Prof. Debabrata Das 20

Prof. Debabrata Das

Software for Analytics ( R, Python ) Prof. Debabrata Das & Vinod Raju 20

Prof. Debabrata Das & Vinod Raju

Big Data Analytics ( Hadoop, Spark, Pig)* Prof. Vinod Raju 25

Prof. Vinod Raju

Text Analytics (Natural Language Processing) Prof. Debabrata Das 20

Prof. Debabrata Das

Valuation & Financial Modeling Prof. Neetika Batra 25

Prof. Neetika Batra

HR Analytics Prof. Debabrata Das 20

Prof. Debabrata Das

Logistics and Supply Chain Analytics Prof. Debabrata Das 20

Prof. Debabrata Das

Finance and Risk Analytics Prof. R Srinivasan 20

Prof. R Srinivasan

Customer Analytics Prof. Prashant Verma 20

Prof. Prashant Verma

Marketing Analytics Prof. Debabrata Das 20

Microsoft Learning Partner Platifi

Prof. Debabrata Das

Analytics in Industry (Banking, Retail, Telecom, Health care, etc.) External Faculty 25

External Faculty

Digital Analytics Prof. Prashant Verma 20

Prof. Prashant Verma

Digital Transformation-fundamentals for Business Managers Prof. Sanjeev Nikore 25

Prof. Sanjeev Nikore

Cloud Computing and digital platforms Microsoft 25

Microsoft

Digital Marketing Prof. Manu Malhotra 25

Prof. Manu Malhotra

AI and ML :Concepts and Platforms Microsoft 25

Microsoft

AI and ML :Industry applications and Use Cases Microsoft 25

Microsoft

Data Exploration and Visualization Tools ( Using Power BI) Microsoft 20

Microsoft

IOT Platforms and Applications Microsoft 15

Microsoft

Block Chain technology Applications & Platforms Microsoft 25

Microsoft

Automation in Business (includes RPA,AR&VR) Microsoft 25

Microsoft

Societal impact of Digitalization including ethics Prof Sanjeev Nikore and External Faculty 25

Prof Sanjeev Nikore and External Faculty

Cyber Security and Data Privacy Prof Jagdish Prasad 25

Prof Jagdish Prasad

Digital Strategy and Organisation Change Management Prof Sanjeev Nikore and Prof. Anil Sachdev 25

Prof Sanjeev Nikore and Prof. Anil Sachdev

Business Innovation Through Digitalization Prof Sanjeev Nikore and Prof. Manu Malhotra 15

Prof. Mita Brahma

Yoga and Wellness Prof. Susie Roy 25

Prof. Susie Roy

Self Leadership Prof. Anil Sachdev 30

Prof. Anil Sachdev

Himalayan Learning Retreat at Sidhbari 30

Pillars of Inspired Leadership Through Theatre Prof. Lushin Dubey 30

Prof. Lushin Dubey