PGDM in Business Analytics Syllabus - Interscience Institute of Management and Technology (IIMT, Bhubaneswar)

  • Years 2 Years
  • Type Course Post Graduate
  • stream Management
  • Delivery Mode
Written By universitykart team | Last updated date Jul, 07, 2024

The PGDM in Business Analytics syllabus at Interscience Institute of Management and Technology (IIMT), Bhubaneswar is designed to provide overall knowledge to the students with a strong foundation. PGDM in Business Analytics faculty at Interscience Institute of Management and Technology (IIMT) specially focus on in-depth learning to relevant subjects. At first semester syllabus of PGDM in Business Analytics at Interscience Institute of Management and Technology (IIMT), students learn the basics of programme. A strong foundation is very important for comprehensive learning. PGDM in Business Analytics syllabus at Interscience Institute of Management and Technology (IIMT), Bhubaneswar maintains a balance between theoretical knowledge and practical knowledge.

PGDM in Business Analytics first year students at Interscience Institute of Management and Technology (IIMT) are introduced with core subjects. Then they are encouraged to explore other area for a broader perspective. Interscience Institute of Management and Technology (IIMT), Bhubaneswar also provides practical training sessions, workshops, projects, and case studies to enhance student skills. PGDM in Business Analytics syllabus at Interscience Institute of Management and Technology (IIMT), Bhubaneswar is also frequently updated to give industry relevant training and knowledge to students. Interscience Institute of Management and Technology (IIMT) strives to provide a nurturing environment where students can learn new skills. The hands-on training sessions at Interscience Institute of Management and Technology (IIMT) 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 Interscience Institute of Management and Technology (IIMT), Bhubaneswar 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 Interscience Institute of Management and Technology (IIMT) 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 Interscience Institute of Management and Technology (IIMT) includes group discussions, guest lectures, case studies, and skill development workshops to enhance the learning experience. The PGDM in Business Analytics syllabus at Interscience Institute of Management and Technology (IIMT) aims to create well-rounded professionals equipped with the necessary skills and knowledge to succeed in their chosen fields.

Additional curriculum at Interscience Institute of Management and Technology (IIMT)

  1. Workshops and Seminars - Regular sessions with industry experts help PGDM in Business Analytics students at Interscience Institute of Management and Technology (IIMT) to stay updated with current trends.
  2. Group Projects - Collaborative projects according to Interscience Institute of Management and Technology (IIMT) syllabus develop teamwork and problem-solving skills.
  3. Case Studies - PGDM in Business Analytics syllabus offers analysis of real-world scenarios to apply theoretical knowledge.
  4. Extracurricular Activities - Interscience Institute of Management and Technology (IIMT) offers several activities like sports, clubs, societies, etc. to encourage overall development.

Note: Given below syllabus is based on the available web sources. Please verify with the Interscience Institute of Management and Technology (IIMT), Bhubaneswar for latest PGDM in Business Analytics curriculum.

Syllabus & Subjects of PGDM in Business

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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