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Current Academic Programmes (at Hyderabad)

Various full-time/part-time academic programmes are being offered at Graduate, Post Graduate, Professional and research level at Kolkata | Delhi | Bangalore | Hyderabad locations of Indian Statistical Institute.

Presently the following full-time/ part-time academic programmes are being offered at Hyderabad.


Sl. No Course Name Type Duration
1 Master of Science(MS) in Quality Management Sciences MS(QMS) Full Time 2 Years *
2 JRF in Quality Reliability & Operations Research (QR&OR) Full Time 6 Years(max)
3 Part-Time Certificate Course in SQC Part Time 6 Months **

(*) 1st Year at Bangalore and 2nd Year at Hyderabad.

(**) Normally takes 10 months due to additional Learning modules (Six Sigma Green Belt Certificate and Statistical Software orientation).

Candidates admitted to programmes 1 and 2 receive stipend & contingency grants as per the rules of the institute (refer to the prospectus)

Candidates admitted to Programme 3 need to pay a FEE (refer to Prospectus).

To view all the academic programs of the Institute please visit

(1st Year at Bangalore & 2nd Year at Hyderabad)


Brief Details of the Course


This is a two-year programme in Quality Management and its applications with a special emphasis on Quantitative Methods. It also includes Dissertation in the third semester and a live Project work in the fourth semester under the direct guidance of the faculty. The course offers a flexible format for those who want to meet specific educational and career objectives. Students aspiring to undertake this programme will enhance their career options by gaining the contemporary knowledge and perspective required of Quality Analysts, Quality Managers and those who are responsible for one or more aspects of quality improvement.

The first two semesters will be offered at Bengaluru whereas the third semester will be at Hyderabad. The fourth semester, the Project work, will be at respective locations.


A candidate seeking admission to this course should have at least a three-year Bachelor’s Degree with Mathematics as a subject.

Selection Procedure

Selection of candidates to this programme, including the sponsored ones, will be based on performance in written tests and subsequent interview. Academic record may also be taken into consideration. The written admission tests will comprise of multiple-choice and/or short- answer type questions in Mathematics at the undergraduate level.

There is, however, a provision for sponsorship by government, semi- government, public sector undertakings, autonomous institutions and commercial/industrial organizations, which can sponsor candidates from their establishments, provided they satisfy the eligibility requirements. The Institute, at its discretion, may apply a different criterion for such candidates. A candidate would be considered sponsored only if the employer gives him/her leave and full salary for the entire duration of the programme. Sponsored candidates will not receive any stipend and their sponsors will have to pay a tuition fee of Rs. 20,000/- per year.

Course Structure

This two-year programme consists of 15 compulsory courses, 2 elective courses and a dissertation in the first three semesters; and a live project work during the fourth semester. The classes for the first two semesters will be held in Bengaluru and the same for the third semester will be in Hyderabad. The project work at the fourth semester will be at the respective locations. The semester-wise list of courses is as follows.

Semester I: Statistics for decision Making--1 (SDM-1), Statistical Process Control (SPC); Project Management, Reliability, Maintainability and Safety–1 (RMS-1), Management Information System (MIS); Operations Research –1 (OR-1).

Semester II: Statistics for decision Making–2 (SDM-2), Advanced Statistical Process Control (ASPC); Industrial Experimentation (IE); Reliability, Maintainability and Safety–2 (RMS-2); Operations Research – 2 (OR-2).

Elective (any one of the following): Game Theory; Capability Maturity Models; Applied Regression Analysis; Marketing Research; Data Base Management; Pattern Recognition; Neural Network; Multivariate Data Analysis; Markov Analysis and Modelling.

Semester III: Trouble Shooting & Problem Solving for Quality Improvement (TS); Six Sigma – Business Excellence Strategy & Problem Solving Framework (SS); Supply Chain Management (SCM); Operations Research – 3 (OR-3).

Elective (any one of the following): Total Quality Management; Quality Audit; Measuring Customer Satisfaction; Software Reliability; Human Factors in Continuous Improvement.

Semester IV: Dissertation; Project Work.

Offering of an elective course will depend on students’ interest and availability of teachers.


Scope (General)

The Institute offers Junior Research Fellowships to candidates in Statistics, Mathematics, Quantitative Economics, Computer Science, and Quality, Reliability and Operations Research (QROR). A candidate admitted as a Junior Research Fellow, and applying for registration for Ph D in the relevant discipline, will generally be required to successfully complete mandatory course-work involving at least five courses from the list of courses for that discipline. He/she is expected to engage in original research work in one of the above areas under the guidance of a supervisor appointed by the Institute, culminating in a doctoral thesis to be submitted for the Ph D degree of the Institute. Candidates making satisfactory progress towards the above goal are eligible to register for the Ph D degree of ISI. At the end of the second year, the Junior Research Fellows are assessed for the award of Senior Research Fellowships. The total duration of Junior and Senior Research Fellowships shall not exceed six (6) years.

An enhanced Special Research Fellowship is also available for outstanding candidates in the above disciplines.

At Hyderabad presently JRF is being offered in Quality, Reliability and Operations Research (QR&OR)

Eligibility Criteria

(i) A good academic record with M Tech/ME/MS/M Phil or equivalent degree in Quality/Reliability/Operations Research, or

(ii) a good academic record with M Stat/M Sc/MA or equivalen.

degree in Mathematics/Statistics/Physics with Mathematics as a compulsory subject at the graduate level, or (iii) a BE/B Tech or equivalent degree in the above subjects with outstanding results.

Selection Procedure

Subject to the eligibility criteria being satisfied, the selection of candidates for this programme is strictly based on merit as judged by performance in Admission Test and interview. Past academic record may also be taken into consideration.

Note: For an applicant who has obtained a Master’s degree from ISI at most two years earlier (excluding the year of application), and has secured at least 75% in the aggregate without having taken a back- paper or compensatory examination in any course during the entire programme, the written test will be waived, and he/she will be called directly for interview by the corresponding JRF selection committee. However, such candidates are also required to apply, like all other candidates, in the prescribed application form.

Note: Candidates who have been awarded a Junior Research Fellowship by NBHM/CSIR/UGC/ICMR/DST/DBT based on a nationally conducted written Admission Test, are also required to clear the JRF admission test or an equivalent separate test conducted by the relevant JRF selection committee of the institute.

Admission to the academic programmes is strictly base on the merit of the candidates as judged from their academic records and performance in appropriate selection tests and interviews. If at any stage of the selection process it is found that a candidate does not satisfy the eligibility conditions, his/her application will not be processed any further. Meeting the minimum eligibility requirements does not necessarily entitle a candidate to take the selection tests or be called for interview or be selected. Eligibility requirements may be relaxed in some cases at the discretion of the Institute. The decisions of the institute in these matters are final. Canvassing in any form disqualifies a candidate from being selected If a student fails a course and is not allowed to repeat, he/she is not eligible for readmission to the same course.

SQC Prospectus
Announcement 2019
SQC Application 2019

Scope: This course is intended to provide intensive training in the theory and practice of SQC. Emphasis is on equipping the students with the basic practical skills in SQC approach with sufficient theory to understand the principles involved and to develop in them the power of systematic thinking, practical approach and exposition.

Duration: The course extends over a period of 6 - 9 months. Classes are usually held weekends in four sessions of two hours each. Class timings will be 0900-1815 Hrs on Sundays.

Venue: Indian Statistical Institute, Street No.8, Habsiguda,  Hyderabad 500007.

Eligibility: Admission is restricted to persons working in industrial, commercial or scientific organizations and sponsored by their organizations / Self-sponsored with 'No Objection Certificate' from their organizations. Minimum educational qualifications are any one of the following.

  • Degree/ Diploma in any branch of technology from a recognized institution.

  • Bachelor's degree (with mathematics at the pre-university or equivalent level) from a recognized university or institution.

Candidates should possess a minimum of one year's working experience in industrial, commercial or scientific organization. The sponsoring organization / organization providing No Objection Certificate must ensure .

  • That their candidates will attend at least 75% of classes.

  • Adequate opportunities for the candidates to carry out the project work on some problem of interest to them.

Admission: Admission will be based on academic records and performance in the selection test. The Institute follows a reservation policy consistent with the national policy on reservation.

Course Structure: The course comprises lectures, practical exercises, assigned reading, home tasks, tutorials, seminars, group discussions and project studies on Statistical Methods and SQC Techniques. Project work runs concurrently outside the class hours in the candidate's own organization.


Paper 1: Statistical Methods
Descriptive Statistics
Probability Theory

Paper 2: SQC Techniques - Theory
Control Charts
Acceptance Sampling
Industrial Experimentation
Management and Organisation of Quality Control

Paper 3: SQC Techniques - Practical
The examination will be on numerical exercises and practicals on topics covered in paper 1 and paper 2.

Paper 4: Project Work

Application: Applications to be sent in prescribed format.

For further details of the programme, write to: 

The Head
SQC & OR Unit
Indian Statistical Institute

Street No. 8, Habsiguda
Hyderabad, AP 500007, India.
Phone: +91-40-27153984, 27171906, 27179402
Fax: +91-40-27173602
ISI Hyd bottom
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