The PGDM in Business Analytics syllabus at Dr. D.Y. Patil Vidya Pratishthan Society's, Pune is designed to provide overall knowledge to the students with a strong foundation. PGDM in Business Analytics faculty at Dr. D.Y. Patil Vidya Pratishthan Society's specially focus on in-depth learning to relevant subjects. At first semester syllabus of PGDM in Business Analytics at Dr. D.Y. Patil Vidya Pratishthan Society's, students learn the basics of programme. A strong foundation is very important for comprehensive learning. PGDM in Business Analytics syllabus at Dr. D.Y. Patil Vidya Pratishthan Society's, Pune maintains a balance between theoretical knowledge and practical knowledge.
PGDM in Business Analytics first year students at Dr. D.Y. Patil Vidya Pratishthan Society's are introduced with core subjects. Then they are encouraged to explore other area for a broader perspective. Dr. D.Y. Patil Vidya Pratishthan Society's, Pune also provides practical training sessions, workshops, projects, and case studies to enhance student skills. PGDM in Business Analytics syllabus at Dr. D.Y. Patil Vidya Pratishthan Society's, Pune is also frequently updated to give industry relevant training and knowledge to students. Dr. D.Y. Patil Vidya Pratishthan Society's strives to provide a nurturing environment where students can learn new skills. The hands-on training sessions at Dr. D.Y. Patil Vidya Pratishthan Society's enable PGDM in Business Analytics students to apply knowledge and skills in a controlled environment and get required experience.
According to syllabus of PGDM in Business Analytics progress, students learn advanced topics and complex concepts. The PGDM in Business Analytics curriculum at Dr. D.Y. Patil Vidya Pratishthan Society's, Pune mainly focuses on analytical and critical thinking. As the PGDM in Business Analytics course unfolds, students develop several important skills that increases their employability. As per syllabus of PGDM in Business Analytics at Dr. D.Y. Patil Vidya Pratishthan Society's also includes real-life projects and internship programs. It helps students critical thinking and gives them real-world experience.
PGDM in Business Analytics curriculum at Dr. D.Y. Patil Vidya Pratishthan Society's includes group discussions, guest lectures, case studies, and skill development workshops to enhance the learning experience. The PGDM in Business Analytics syllabus at Dr. D.Y. Patil Vidya Pratishthan Society's aims to create well-rounded professionals equipped with the necessary skills and knowledge to succeed in their chosen fields.
Additional curriculum at Dr. D.Y. Patil Vidya Pratishthan Society's
Note: Given below syllabus is based on the available web sources. Please verify with the Dr. D.Y. Patil Vidya Pratishthan Society's, Pune for latest PGDM in Business Analytics curriculum.
A Post Graduate Diploma in Management (PGDM) in Business Analytics program typically offers a robust syllabus designed to equip students with the knowledge and skills needed for a successful career in the field of business analytics. The syllabus encompasses a blend of core business management subjects and specialized courses focused on analytics. Core subjects often cover areas like marketing, finance, operations management, and strategic management, providing students with a strong foundation in business principles. Specialized courses delve into topics such as data analysis, predictive modeling, machine learning, data visualization, and business intelligence tools and techniques. Additionally, students may engage in practical projects and case studies to apply their analytical skills to real-world business scenarios. This program empowers graduates to make data-driven decisions, solve complex business problems, and contribute effectively to the growing field of business analytics.
Mentioned below is a tabulation of the PGDM Business Analytics syllabus for each semester:
Semesters | Subjects |
Semester I | Management Information Systems |
Statistical Analysis | |
Organizational Behavior | |
Data Modeling | |
Quantitative Methods | |
Financial Accounting | |
Managerial Economics | |
Marketing Management | |
Semester II | Research Methods |
Business Intelligence | |
Computational Methods | |
Managerial Communication | |
Operations Management | |
Financial Analytics | |
Stochastic Modeling | |
Optimization Analytics | |
Financial Management | |
Human Resource Management | |
Semester III | Analytics Systems Analysis & Design |
Risk Management | |
Simulation Modeling | |
Industry Internship Program | |
Predictive Analytics | |
Marketing Analysis | |
Data Mining | |
Semester IV | Big Data Analytics |
Analytics Capstone Project | |
Project Management | |
Professional Development | |
Operations and Supply Chain Analytics | |
Ethical and Legal Aspects of Analytics | |
HR Analytics | |
Strategic Management | |
Elective Paper | |
Core Subjects | Marketing Management |
Operations Management | |
Organizational Behavior | |
Participative learning Activities | |
Quantitative Methods | |
Statistics for Management | |
Legal aspects of Business | |
Management Concepts & Theories(MCT) | |
Information Technology | |
Management Information Systems | |
Human Resource Management | |
Managerial Accounting | |
Corporate Finance | |
Managerial Communication | |
Business Environment | |
Computer Applications in Management | |
Managerial Economics | |
Elective Subjects | PSS for Research Methodology |
Social & Web Analytics | |
DBMS & Data warehousing | |
Industry Application of Analytics | |
Predictive Modeling | |
Spreadsheet Modeling and Analysis | |
Business Modeling with Data Analysis | |
Data Analytic Basics | |
Business Intelligence | |
Data Cleaning, Normalization & Data Mining | |
Business Analytics Application | |
Data Visualization | |
Applied Business Intelligence | |
Big Data Analytics - I | |
Industry Applications of Analytics | |
Introduction to Business Analytics & its Application | |
Statistical Communication |
Projects
When
pursuing a PGDM in Business Analytics course, research projects are an integral
part of the studies. These projects are judged by the professors to evaluate
the student's understanding of taught subjects. Students can select their
challenge file subjects primarily based totally on the specialization they
select. Some of the popular research projects are listed below:
(i).
Forecasting the Sales of a Supermarket During Festival Season.
(ii). Predicting Sales in Tourism for the Next 4 Years.
(iii). Predicting the Success of an Upcoming Movie.
(iv). Sales Conversion Optimization.
(v). Customer Segmentation.
(vi). Employee Attrition and Performance.
Reference
Books
When
pursuing a PGDM in Business Analytics, books can be a great investment for the
students as they can really help them learn about their specialization in great
detail. Books can be a great source of information for students where they can
learn about concepts of their interest.
Students can rent the course books from libraries, download them through websites or purchase them. Listed below are some of the popular PGDM in Business Analytics course books that the students can invest in:
Name of Author | Name of Book |
Foster Provost, Tom Fawcett | Data Science For Business |
Eric Siegel, Edward L. Glaeser, Cassie Kozyrkov, Thomas H. Davenport | Strategic Analytics |
Regi Matthew | Business Analytics for Decision Making |
David M. Levine, David F. Stephan | Business Statistics: A First Course |
Lila J. Trueet, Dale B. Truett | Managerial Economics |
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