Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Video and Text Based |
Course Overview
The Post Graduate Program in Business Analytics and Decision Science by KIAMS aims to prepare students for today's data-driven business world by exposing them to different business analytics and decision science concepts. It is a residential programme that will help students interact with others from different corners of India, providing them with leadership aspirations. The technical and quantitative skills acquired during the learning will help them in the long run.
Post Graduate Program in Business Analytics and Decision Science Syllabus provides an extensive understanding of management tools like business forecasting, mathematical models, marketing research, security analysis and econometrics, and portfolio management. It is an ideal foundation course for data and big data analytics, which offers ample external knowledge apart from the course module.
The Post Graduate Program in Business Analytics and Decision Science Programme also provides case analysis useful for learning and understanding many essential data analytics tools. Throughout this course, learners will stay informed about the application of data analysis procedures.
The Highlights
- Residential programme
- Interactive pedagogy
- Placement support
- Hands-on material
- Approved by AICTE
Programme Offerings
- Lectures
- Case Studies
- live project
- Tools training
Courses and Certificate Fees
| Certificate Availability |
|---|
| no |
- Students willing to pursue the program from the Harihar campus need to pay Rs. 5,25,000.
- Those willing to study from the Pune campus have to pay Rs. 5,75,000/.
- This fee is inclusive of GST applicable @18%.
Fee Details for Post Graduate Program in Business Analytics and Decision Science
Fee | Amount in Rupees | |
Harihar | Pune | |
Course Fee | Rs. 5,25,000 | Rs. 5,75,000 |
Total Fee | Rs. 5,25,000 | Rs. 5,75,000 |
Eligibility Criteria
Education
Post Graduate Program in Business Analytics and Decision Science Training can be pursued by candidates who have completed BE, B.tech, MBA, PGDM, ME, M.tech, BA, MA (with econometrics, economics, statistics, or mathematics), BSc/MSc (with statistics/ mathematics). Graduates from any other stream with mathematics or statistics can also apply.
What you will learn
Post Graduate Program in Business Analytics and Decision Science Course (Note: Online Course keyword is not applicable here) will highlight some key aspects of business analytics, like-
- Candidates will learn how to detect the stories behind data sets and communicate data findings in oral, visual, and written contexts for different audiences.
- Learners will be able to apply foundational knowledge of MongoDB.
- This programme states the algorithm’s use for models building that uncover connections.
- In this course, they will be introduced to NoSQL concepts.
- This course will focus on the process of examining large and varied data sets.
- The course has been designed to provide elementary concepts in statistics and data analytics.
- It also focuses on various statistical techniques from predictive modelling, machine learning, and data mining.
- Candidates will know how to orderly consolidate the collected data from various sources.
- This programme covers the fundamentals of effective data-driven storytelling.
- It also introduces RDBMS concepts and helps students apply foundational knowledge of the SQL language.
Admission Details
To apply for Post Graduate Program in Business Analytics and Decision Science Course, candidates need to apply through a portal as stated below:
Step 1: Go to the admission process section on the official site and select the “Apply Now” option from the right sidebar.
Step 2: Enter the required details and submit your application.
Step 3: Selected candidates will be shortlisted as per their test score and profile. They will be called for an interview.
The Syllabus
- Business Statistics
- Optimization Techniques
- Advanced Excel
- Java Programming
- Analytics using R
- Database Concepts & SQL
- Design Thinking for Innovation
- Applied Descriptive & Inferential Analytics
- Business Economics
- Functions of Business Management (Marketing, HR, Finance, LSCM, Strategy)
- Digital Transformation
- Advanced Statistics
- Advanced Optimization Techniques
- Introduction to Python
- DW, DM & BI
- NoSQL using MongoDB
- Introduction to AI
- Spreadsheet Modeling & Simulation
- Multivariate Analysis & Generalized Linear Model
- Data Visualization (using Tableau)
- Marketing & Sales Analytics
- Financial Analytics
- SCM & Operations Analytics
- Capstone Project – I
- Forecasting Techniques
- Emerging Technologies
- Cloud Computing
- Analytics using Python
- Big Data Technologies
- ML, DS & Analytics using R/Python
- Applied AI with NLP
- Predictive & Prescriptive Analytics
- Information Security & Risk Analytics
- IoT Analytics
- Data-driven Story telling (using Tableau)
- Social Media Analytics
- HR Analytics
- Capstone Project – II
- Soft Skills – 1
- Soft Skills – 2
- Industry Engagement
KIM, Harihar Frequently Asked Questions (FAQ's)
No, candidates have to pay the application fee separately while applying for Post Graduate Program in Business Analytics and Decision Science Training.
The application fee is non-refundable.
Candidates will have to upload their recent scanned photographs and signature in the application form.
Candidates can place a query on the course page to know about scholarships, if available.
The interview will be scheduled on Skype, for which the details will be shared once the candidate is shortlisted.
CAT/GMAT/XAT/GRE or the score of the KIAMS Aptitude Test is accepted for admission to the programme.
Candidates can post a query on the course page to know about it.
They will know about it once they have qualified for the interview round.
Yes, each trimester carries certain credits and will contribute to the final score.
In a live project, the candidate will associate with a company to perform a real-time Capstone project.