Statistical Quality Control & Operations Research Unit

Bangalore

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Indian Statistical Institute has established several Statistical Quality Control and Operations Research (SQC & OR) units across India, offering specialized training and consultancy services to industries. These units also undertake cutting-edge research in quality assurance, reliability, operations research, and related fields.

Over the years, the SQC & OR division of the Indian Statistical Institute has emerged as a trailblazer in integrating statistical theory with practical applications. It is an institution that fosters the development of highly skilled professionals who are capable of achieving their full potential. Additionally, the division serves as a consultancy firm and research hub that supports industries in meeting the challenges of global competition.

Academic Programs

Master of Science
in
Quality Management Sciences

The MS-QMS program is a two-year course offered by the prestigious Indian Statistical Institute. It comprises of the first year in Bangalore and the second year in Hyderabad. The program is specifically designed to equip aspiring data scientists with exceptional skills in statistics, machine learning, operations research, and quality management.
The curriculum of the MS-QMS program is thoughtfully structured to impart rigorous theoretical knowledge and practical skills to students. The course includes live projects that focus on diverse areas such as data science, business analytics, machine learning, statistical modeling, optimization, and quality management. The program is tailored to equip students with the expertise necessary to become successful data scientists. More details 

Part Time Certificate Course 
in
Statistical Quality Control

In the context of India's rapidly growing industrialization and economic activity, Statistical Quality Control (SQC) has emerged as an increasingly vital field. To meet the growing demand for skilled professionals trained in SQC techniques and approaches, we offer a Certificate course in Statistical Quality Control. This program is designed to equip participants with the necessary skills to meet the challenges of the industry.
Successful completion of the course will lead to a Certificate in Statistical Quality Control as well as Six Sigma Green Belt certification. The program is particularly beneficial to individuals working at the middle or operational level across various functions in industrial, commercial, and scientific institutions. The course offers practical knowledge and real-world applications, preparing participants to make significant contributions to their organizations.  More details

Short Term Courses

Mobirise

Foundation Course
on
Business Analytics

This program is designed to equip professionals with the skills and knowledge to extract implicit, previously unknown, and potentially valuable insights from large datasets. Participants will learn techniques and tools for data mining, machine learning, and statistical analysis, enabling them to uncover valuable patterns and trends that may have previously gone unnoticed. With these capabilities, participants of the program will be well-prepared to tackle complex data-driven challenges in a variety of industries and domains

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Foundation Course
on
Business Forecasting

This program is specifically designed to provide professionals with in-depth knowledge of a range of time series and regression methods for developing accurate forecasting models. Participants will gain practical experience working with cutting-edge tools and techniques for time series analysis, including exponential smoothing, and ARIMA. They will also learn about advanced regression methods, such as dynamic regression, and how these can be applied to forecast future trends and outcomes. Upon completion of the program, participants will be well-equipped to develop effective forecasting models that can be used to make informed business decisions.

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Foundation Course
on
Machine Learning

This program is designed to provide participants with hands-on experience in utilizing various statistical and machine learning techniques for machine learning using Python. The course offers a comprehensive overview of key concepts and practical applications of machine learning and statistical analysis, with a focus on developing predictive models that can be applied to real-world scenarios.
Participants will learn how to use Python and packages, such as Scikit-Learn, Pandas, etc, to apply machine learning algorithms for data analysis and supervised learning. They will also develop a strong foundation in statistical modeling and data visualization techniques. Upon completion of the program, participants will be equipped with the necessary skills and knowledge to extract effective insights through supervised and unsupervised learning using Python.

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Six Sigma Green Belt Certification Program

Six-Sigma is a data-driven process improvement methodology. The program aims to provide an overview and understanding of this  methodology to the participants and to equip them with how to deal with  problems so that these people can work as internal resource personnel and  assist the Black Belts / Master Black Belt effectively in the organization.

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Six Sigma Black Belt Certification Program

Six Sigma is being perceived to take people to a higher level of performance with fewer mistakes  while making it a strategic option for transforming an organization. Six Sigma is a Program to be owned and led by leadership orienting strategically towards market place and customer satisfaction.

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Six Sigma Master Black Belt Certification Program

Six Sigma initiative has become a rage. Every organization wants to implement Six Sigma  approach in anticipation of improving market penetration and organizational speed at the same time  reducing the cost of doing business. Six Sigma is described as a methodology to improve business processes and is supposed to  provide metrics that strives for near perfection.

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Problem Solving
using
Design of Experiments

Participants in this program will gain valuable knowledge and practical experience in problem-solving using design of experiments (DoE). They will learn how to develop robust products and processes and how to use a variety of DoE designs, including fractional factorial experiments, Plackett-Burman designs, central composite designs, Box-Behnken designs, and response surface methodology.
Through hands-on training and practical applications, participants will gain a deep understanding of the principles and techniques of DoE, and how to apply them to solve complex problems in their organizations. Upon completion of the program, participants will be well-equipped to develop effective DoE strategies and implement them to achieve optimal outcomes in their products and processes.

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Multivariate Data Analysis

The training session shall include topics like introduction to multivariate analysis, review of matrix algebra, multivariate normal distribution, cluster analysis, principal component analysis, factor analysis, discriminant analysis, multivariate analysis of variance (MANOVA), multivariate control charts, etc

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Reliability Engineering 

This course will present and discuss the analyses of many different life data analysis applications in the area of product reliability and materials evaluation. The analyses illustrate the use of a mix of proven traditional techniques, enhanced and brought up to date with the modern computer-based methodology

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Corporate Training & Consultancy Services

The recent clientele of SQC & OR Unit's  training & consultancy services:

  1. Business Analytics -  Bharat Electronics, LKQ India, L&T India, Quest Global Engineering, Hewlett Packard  Inc,  Tata Steel, Ernst & Young, Tesco, Airbus India, Deloitte Consulting, Infosys, Tata Consultancy Services, Honeywell Technology Solutions, Tally Solutions, Adobe Systems, Apollo Munich, etc. 
  2. Business Forecasting- Hewlett Packard Inc, Tata Steel, Infosys, SIAM, etc.
  3. Machine Learning - Airbus India, Hewlett Packard Inc, Caterpillar India, Manthan Software Services, etc
  4. Six Sigma - BEML Ltd, Daimler India, Defence Institute of Quality Assurance, GE Healthcare, IBM, Walvoil Fluid Power, Ultratech Cements, Bharat Electronics, TVS Motors, Fiat India, Hindustan Aeronautics Ltd, Biocon, Mother Diary, Aditya Birla Fashion and Retail Ltd, Diu Dubai, Accenture, Huawei Technologies, Mindtree Solutions, Infosys BPO, R R Donnelley, etc
  5. Design for Six Sigma - Continental Automotive, TVS Motors, Bharat Electronics, Hollingsworth & Voss, etc
  6. Design of Experiments - Recipharm Pharmaservices, Walvoil Fluid Power, Toyota Industries Engine India, Syngene International, Biocon, Titan Jewellary Division, Hical Technologies, etc.
  7. Statistical Techniques for Process Improvement and Problem Solving - String Bio, Recipharm Pharmaservices, Kirloskar Toyota Textile Machinery Pvt Ltd, Reetam HR, Clinchoice, Defence Institute of Quality Assurance,  Altran Technologies, Cognizant Technologies, Hewlett Packard e - Global, Microsoft India, Tractors India, Torry Harris, Unisys Global, Wipro Technologies, Robert Bosch (India), Visionet Systems, Siemens Information Systems, First Source Solutions, etc.

Faculty and Staff

Name Position Phone email
Sanjit RayHead+91 94482 77340sanjitisi@yahoo.co.in
E V GijoFaculty+91 94483 24220gijoev@gmail.com
Boby JohnFaculty+91 94487 04182 boby@isibang.ac.in
JagadishFaculty+91 88119 40517jagadish@isibang.ac.in
Moutushi ChatterjeeFaculty+91 94770 49150moutushi@isibang.ac.in
Anupama N RStaff080 26985402sqc_course@isibang.ac.in
M VenkateshStaff +91 98808 95881

Address

8th Mile, Mysore Road, Bangalore - 560 059
Karnataka State,
India


Contacts

Email: sqc@isibang.ac.in       Phone: +918026985402                     

Links

ISI, Kolkata
ISI, Mumbai
ISI, Hyderabad
ISI, Delhi


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