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Master of Operational Research (CBCS)

Introduction to Master of Operational Research


The CBCS provides an opportunity for the students to choose courses from the prescribed courses comprising core, elective/minor, or skill-based courses. The courses will be evaluated following the grading system, which is considered to be better than the conventional marks system. Grading system provides uniformity in the evaluation and computation of the Cumulative Grade Point Average (CGPA) based on student’s performance in examinations, which enables the student to move across institutions of higher learning. The uniformity in evaluation system also enables the potential employers in assessing the performance of the candidates.

Definition

  • Academic Programme: means an entire course of study comprising its programme structure, course details, evaluation schemes, etc., designed to be taught and evaluated in a teaching Department/Centre or jointly under more than one such Department/Centre.
  • Course: means a segment of a subject that is part of an Academic Programme.
  • Programme Structure: means a list of courses (Core, Elective, Open Elective) that makes up an Academic Programme, specifying the syllabus, credits, hours of teaching, evaluation and examination schemes, minimum number of credits required for successful completion of the programme, etc., prepared in conformity to University Rules and eligibility criteria for admission.
  • Core Course: means a course that a student admitted to a particular programme must successfully complete to receive the degree and which cannot be substituted by any other course.
  • Elective Course: means an optional course to be selected by a student out of such courses offered in the same or any other Department/Centre.
  • Open Elective: means an elective course which is available for students of all programmes, including students of the same department. Students of other departments may opt for these courses subject to fulfilling the eligibility criteria laid down by the department offering the course.
  • Credit: means the value assigned to a course which indicates the level of instruction. One-hour lecture per week equals 1 credit, and 2 hours of practical class per week equals 1 credit. Credit for a practical could be proposed as part of a course or as a separate practical course.
  • SGPA: means Semester Grade Point Average calculated for an individual semester.
  • CGPA: is Cumulative Grade Points Average calculated for all courses completed by the student at any point of time. CGPA is calculated each year for both the semesters clubbed together.
  • Grand CGPA: is calculated in the last year of the course by clubbing together the CGPAs of two years, i.e., four semesters. Grand CGPA is provided to the student in the form of a Transcript. For the benefit of the student, a formula for the conversion of Grand CGPA into percentage marks is also included in the Transcript.

MOR Programme Details

Programme Objectives

Spanning over a period of two years and spread across four semesters, the programme emphasizes on core, elective and open elective courses along with the industrial project. The Semester-I and Semester-II course work stresses on the theoretical aspects for a strong base, while the Semester-III and Semester-IV course work highlights specialization electives and the Project Work. Core aim of the programme is to produce good analysts who are well equipped to acquire significant positions in OR groups of business, government, and management consulting companies.

Programme Specific Outcomes

The programme is designed to:

  • Apply the analytical and practical skills learned in the course work.
  • Inculcate and develop logical reasoning and aptitude to make the students well equipped to work on complex issues.
  • Impart comprehensive knowledge and understanding of advanced theoretical fundamentals in Operational Research.
  • Equip scholars with state-of-the-art key Research & Developments in Operational Research.
  • Provide hands-on training to the students in the form of an Industrial Project, to address some significant operational issue faced by the company.

Programme Structure

The MOR programme is a two-year course divided into four semesters. A student is required to complete at least 80 credits for the completion of the course and the award of degree.

Part Year Semester
Part-I First Year Semester I Semester II
Part-II Second Year Semester III Semester IV

Course Credit Scheme

  • For each Core, Elective and Open Elective Course, there will be 4 lecture hours of teaching per week.
  • Open Electives (8 credits)
  • Duration of End Semester Examination of each course shall be of 3 hours
Semester Core Courses Open Elective Course Elective Courses Project Total Credits
No. of papers Credits
(L+T or P)		 Total Credits No. of papers Credits
(L+T or P)		 Total Credits No. of papers Credits
(L+T or P)		 Total Credits No. of papers Credits
(L+T or P)		 Total Credits
I 05 04 20 Nil Nil Nil Nil Nil Nil Nil Nil Nil 20
II 04 04 16 01 04 04 Nil Nil Nil Nil Nil Nil 20
III 03 04 12 01 04 04 01 04 04 Nil Nil Nil 20
IV Nil Nil Nil Nil Nil Nil 03 04 12 01 08 08 20
Total Credits
for the Course		 48 08 16 08 80

Eligibility for Admission

Admission is done through entrance examination and Interview. The details are as follows:

Examination passed Percentage Required
(a) Any Master’s Degree examination of the University of Delhi or an examination recognized as equivalent thereto with at least two papers in Mathematics/ Computer Science/ Statistics/Operational Research at graduation/ higher level.

OR

(b) Any Bachelor’s Degree examination under 10+2+3 scheme of examination of the University of Delhi or an examination recognized as equivalent thereto with at least two papers in Mathematics/Computer Science/Operational Research/ Statistics.

  1. Applicants who have graduated under 10+2+3 scheme or an equivalent scheme are eligible for admission.
  2. The candidates who are appearing in the final year examination of the degree on the basis of which admission is sought are also eligible to apply.

Relaxation will be given to the candidates belonging to SC, ST and OBC category as per the University rules.

 55% marks
in aggregate

Assessment of Students’ Performance and Scheme of Examinations

  1. English shall be the medium of instruction and examination.
  2. Assessment of students’ performance shall consist of:
    • Internal Assessment (30 Marks): Attendance: 5 Marks, Evaluation by individual faculty members based on Assignments, Class tests, Presentations etc.: 25 Marks.
    • Internal Assessment for a course having practical component (20 Marks): Attendance: 5 Marks, Evaluation by individual faculty members based on Assignments, Class tests, Presentations etc.: 15 Marks.
    • Practical Assessment (30 Marks): Practical Examination: 20 Marks, Viva Voce: 5 Marks, Attendance: 5 Marks.
    • End of Semester Examination (70 Marks).
    • End of Semester Examination for a course having practical component: 50 Marks.
    • Project Assessment: Project Report: 100 Marks, Viva Voce: 50 Marks, Internal Assessment: 50 Marks.
  3. All the assessment will be based on Learning Outcomes for the course.

Pass Percentage & Promotion Criteria


Pass Percentage: 40% or equivalent grade (as per University rules) in each course. A student must score the minimum passing marks in each of the Core, Elective and Open Elective courses.

Part I to Part II Progression:

For promotion to Part II, a student must have passed in at least four of the core courses of Part I.

Policy for re-appearing in Semester Examination:

A student who has to reappear in a paper prescribed for Semester I/III may do so only in odd Semester examination to be held in November/December. A student who has to reappear in a paper prescribed for Semester II/IV may do so only in the even Semester examination to be held in April/May.

Conversion of Marks into Grades


University rules to be followed.

Grade Points: University rules to be followed.

CGPA Calculation: University rules to be followed.

SGPA Calculation: University rules to be followed.

Grand SGPA Calculation:

Conversion of Grand CGPA into marks: As notified by competent authority, the formula for conversion of Grand CGPA into marks is:

Final percentage of marks = CGPA based on all four semesters x 9.5

Division of Degree into Classes

University rules to be followed.

Attendance Requirement

University rules to be followed.

Span Period

No student shall be admitted for the examination for any of the Parts/Semesters after the lapse of four years from the date of admission to the Part I/Semester I of the MOR Programme.

Guidelines for Internal Assessment Marks (Semester Wise)

Internal Assessment carries 30 marks out of which 5 marks are based on attendance, while 25 marks are for evaluation by individual faculty members based on assignments, class tests, presentations etc.

For a course including practical, Internal Assessment carries 20 marks out of which 5 marks are based on attendance, while 15 marks are for evaluation by individual faculty members based on assignments, class tests, presentations etc.

Semester Wise Details of MOR Programme


For complete list, open the link.

Semester - I

First Year: Semester I Duration
(hrs.)		 Sem.
Exam
Marks		 Internal
Assessment
Marks		 Total
Marks		 Credits
Course:
MOR101		 Linear Programming and Extensions 3 70 30 100 4
Course:
MOR102		 Inventory Management 3 70 30 100 4
Course:
MOR103		 Queueing System 3 70 30 100 4
Course:
MOR104		 Statistics 3 70 30 100 4
Course:
MOR105		 Python Programming
(a) Theory
(b) Practical 		3 50 20 70
30		 4

Semester - II

First Year: Semester II Duration (hrs.) Sem. Exam Marks Internal Assessment Marks Total Marks Credits
Course:
MOR201		 Convex and Discrete Optimization 3 70 30 100 4
Course:
MOR202		 Scheduling Techniques 3 70 30 100 4
Course:
MOR203		 Marketing Management 3 70 30 100 4
Course:
MOR204		 Econometric Modeling and Forecasting 3 70 30 100 4
Course:
MOR205		 Open Elective:
Database Management System and Visual Programming
(a) Theory
(b) Practical 		3 50 20 70
30 		4

Semester - III

Second Year: Semester III Duration (hrs.) Sem. Exam Marks Internal Assessment Marks Total Marks Credits
Course: MOR301 Mathematical Programming 3 70 30 100 4
Course: MOR302 Reliability and Maintenance Theory 3 70 30 100 4
Course: MOR303 Software Engineering 3 70 30 100 4
Course: MOR304 Open Elective (Any one course out of the following):
(i) Health Care Management
(ii) Revenue Management		 3 70 30 100 4
3 70 30 100
Course: MOR305 Elective (Any one course out of the following):
(i) Supply Chain Management
(ii) Financial Management 		3 70 30 100 4
3 70 30 100

Semester - IV

Second Year: Semester IV Duration (hrs.) Sem. Exam Marks Internal Assessment Marks Total Marks Credits
Course: MOR401-403
Any three Electives out of the following:		 (i) Marketing Research 3 70 30 100 4
(ii) Advanced Inventory Management 3 70 30 100 4
(iii) Queueing Networks 3 70 30 100 4
(iv) Quality Management 3 70 30 100 4
(v) Multicriteria Decision Models 3 70 30 100 4
(vi) Data Warehousing and Data Mining 3 70 30 100 4
(vii) Decision Theory 3 70 30 100 4
(viii) Dynamic Optimization 3 70 30 100 4
(ix) Portfolio Management 3 70 30 100 4
(x) Stochastic Processes 3 70 30 100 4
Course: MOR404-405 Project Work:
The project work shall be carried out with some industry/company under the supervision of faculty members of the department and the report is to be submitted for evaluation by April 30.
It shall carry 200 marks.

Project Report: 100 | Internal Assessment: 50 | Viva-Voce: 50
Total: 200 Marks 		8

Detailed Syllabi of MOR Programme

Course ID Course Name PDF Page No.
MOR101 Linear Programming and Extensions 9–12
MOR102 Inventory Management 12–15
MOR103 Queueing System 15–17
MOR104 Statistics 17–20
MOR105 Python Programming 20–23
MOR201 Convex and Discrete Optimization 23–26
MOR202 Scheduling Techniques 26–29
MOR203 Marketing Management 29–31
MOR204 Econometric Modeling and Forecasting 31–34
MOR205 Database Management System & Visual Programming 35–37
MOR301 Mathematical Programming 37–40
MOR302 Reliability and Maintenance Theory 40–43
MOR303 Software Engineering 43–45
MOR304(i) Health Care Management 45–48
MOR304(ii) Revenue Management 48–51
MOR305(i) Supply Chain Management 51–55
MOR305(ii) Financial Management 55–58
MOR401-403(i) Marketing Research 59–61
MOR401-403(ii) Advanced Inventory Management 61–63
MOR401-403(iii) Queueing Networks 63–66
MOR401-403(iv) Quality Management 66–69
MOR401-403(v) Multicriteria Decision Models 69–73
MOR401-403(vi) Data Warehousing and Data Mining 73–76
MOR401-403(vii) Decision Theory 76–79
MOR401-403(viii) Dynamic Optimization 79–81
MOR401-403(ix) Portfolio Management 81–84
MOR401-403(x) Stochastic Processes 84–86
MOR404-405 Project Work 87

Ph.D. Operational Research

Introduction to Ph.D. Operational Research


The Ph.D. program in Operational Research at the University of Delhi is a premier research initiative offered by the Department of Operational Research under the Faculty of Mathematical Sciences. Established in 1973, the department pioneered postgraduate education in Operational Research in India and continues to lead in analytical and decision sciences.

This doctoral program is designed for scholars aiming to contribute original research in areas such as mathematical modeling, optimization, supply chain management, reliability theory, and financial engineering. Candidates undergo rigorous coursework including subjects like Research Methodology, Inventory and Production Management, and Network Optimization. The program fosters interdisciplinary inquiry and practical problem-solving, preparing researchers to address complex systems in industry, government, and academia.

Admission is based on university guidelines, with supervision provided by a distinguished faculty known for their contributions to both theoretical and applied research.

Definition

  • Compulsory Papers (Core Courses):
    These are mandatory subjects that every Ph.D. scholar must complete regardless of their research area. They aim to develop essential research methodology, academic writing, and ethical conduct.
    Purpose:
    - Equip scholars with research design and analytical techniques.
    - Build competence in literature review, hypothesis formulation, and data interpretation.
    - Ensure understanding of ethical standards in research publication and conduct.
    Examples:
    - Research Methodology (Compulsory) – Covers qualitative and quantitative methods, data collection, and analysis techniques.
    - Research and Publication Ethics (Compulsory) – Covers plagiarism, publication misconduct, citation practices, and research integrity.
  • Optional Papers (Electives):
    Optional or elective papers allow scholars to choose subjects based on their research interests. These subjects provide depth in specialized domains and support the scholar’s dissertation topic.
    Purpose:
    - Offer flexibility to tailor the course structure to a scholar’s field.
    - Enable interdisciplinary learning and in-depth subject knowledge.
    - Contribute directly to the literature review and problem formulation stages of the thesis.
    Examples:
    - Inventory and Production Management
    - Supply Chain Management
    - Network Optimization
    - Financial Engineering
    - Queueing Systems
    - Marketing Management, etc.

Ph.D. Programme Details

Programme Objectives

  • Advance Theoretical and Applied Knowledge: Develop a deep understanding of mathematical modeling, optimization techniques, and systems analysis to address complex real-world problems.
  • Promote Interdisciplinary Research: Encourage integration of concepts from mathematics, statistics, computer science, economics, and engineering to solve multifaceted operational challenges.
  • Enhance Analytical and Problem-Solving Skills: Train scholars to critically evaluate systems and processes, and propose data-driven, efficient solutions for industries, government, and academia.
  • Contribute to Scholarly Literature: Support original research that leads to publications in reputed journals and contributes meaningfully to the global body of knowledge in operational research.
  • Prepare for Leadership in Research and Academia: Equip candidates with the skills and experience needed to lead research initiatives, teach at the university level, and consult on strategic decision-making.

Programme Specific Outcomes

  • Develop Advanced Research Competence: Enable scholars to conduct independent, original research in operational research, contributing to theoretical advancements and practical applications.
  • Master Analytical and Quantitative Techniques: Equip researchers with sophisticated tools in mathematical modeling, optimization, and decision analysis to solve complex problems across domains.
  • Foster Interdisciplinary Integration: Promote the blending of operational research with fields such as economics, computer science, engineering, and management for holistic problem-solving.
  • Enhance Academic and Professional Communication: Train scholars to effectively present research findings through publications, conferences, and teaching engagements.
  • Prepare for Leadership Roles: Cultivate the ability to lead research projects, mentor junior researchers, and contribute to policy-making and strategic planning in academic, industrial, and governmental settings.

Note: Re-examination or supplementary exam of Ph.D. Coursework if needed will be conducted in July.

Eligibility for Admission

For complete details and university rules, open the link.
For complete details, open the link.
  • Minimum Qualification: Master’s Degree in Operational Research or an allied subject with at least two papers in Operational Research.
  • Minimum Marks: 55% marks or equivalent CGPA. For allied subjects, 60% or above marks in Operational Research papers.
  • Relaxation: OBC/SC/ST candidates are eligible for a 5% relaxation in minimum marks as per University rules.

How to Apply

  • Mode: Online registration through the University Admission Portal for M.Phil./Ph.D. admissions.

Selection Procedure

  • Written Examination: Multiple Choice Question (MCQ) format; qualifying marks are 50%.
  • Syllabus Split: 50% questions on Research Aptitude/Methodology and 50% on subject-specific topics.
  • Interview: Shortlisted candidates based on the written exam will be invited for an interview.
  • Note: Common written exam for both M.Phil. and Ph.D. programs in Operational Research. No TA/DA will be provided.

Syllabus for Ph.D. Entrance Examination

1. Operational Research

  • Linear Programming: Formulation, Simplex Method, Duality, Complementary Slackness.
  • Vector Analysis: Linear independence and dependence.
  • Optimization: Convex functions, Lagrange theorem, KKT conditions, Quadratic programming.
  • Inventory Models: Economic lot size, production quantity, reorder level, stochastic models.
  • Queueing Theory: M/M/1 and M/M/C models, Markovian input/service.
  • Reliability: Definitions, multi-component systems, exponential and Weibull distributions.

2. Research Methodology

  • Research Ethics: Plagiarism, falsification, integrity, authorship issues.
  • Statistical Tools: Measures, scaling techniques, probability, Bayes theorem.
  • Sampling: Fundamentals, distributions, theory, estimation.
  • Hypothesis Testing: Procedures, correlation, regression analysis.

Scheme of Evaluation and IA

For complete details, open the link.
  • A student admitted to Ph.D. coursework will be evaluated on the basis of written examination in 3 courses and on the internal continual assessment. Each course will be of 100 marks, out of which 70 marks are for the written paper, and 30 marks are for internal assessment.
  • The students will be assessed continuously on the basis of their assignments/seminars.
  • Note: Re-examination or supplementary exam of Ph.D. Coursework if needed will be conducted in July.

Duration

For complete details and university rules, open the link.
For complete details, open the link.
  • The duration of the Ph.D. programme will be as per the rules highlighted in the Ordinance VI (amended via notification dated 9th August, 2017) of Ordinance of the University of Delhi related to Doctorate of Philosophy (Ph.D.).
  • As per UGC Regulations 2016 , Ph.D. programme shall be for a minimum duration of three years from the date of registration, including coursework and up to a maximum of six years.
  • Note: Re-examination or supplementary exam of Ph.D. coursework if needed will be conducted in July.

Attendance Requirements

For complete details, open the link.
  • A student admitted to the Ph.D. coursework shall be required to attend not less than 2/3rd of the number of contact periods and seminars held separately.
  • * All other rules mentioned in Amendment to the Ordinance VI (amended vide notification dated 9th August, 2017) of Ordinances of the University of Delhi related to Doctorate of Philosophy (Ph.D.) are also applicable.

Financial Assistance to Research Scholars

For complete details and university rules, open the link.
  • Research scholars who have cleared National Level examinations with JRF or equivalent shall get financial assistance from the concerned funding agency.
  • Research scholars who are working in projects as JRF and SRF shall get financial assistance from the designated projects.
  • Research scholars, who do not have any financial assistance, may be awarded Non-NET UGC fellowships. The University, depending on the grant available from UGC, will determine the number of fellowships under this category annually. (Rs. 8,000/- per month)
  • Financial assistance shall not be provided where the research scholar is availing paid study leave.
  • Foreign research scholars must show proof of financial support for the duration of the M.Phil./Ph.D. enrolment.

Evaluation and Assessment of Thesis

For complete details and university rules, open the link.
  • Prior to submission of the thesis, the research scholar shall make a pre-Ph.D. presentation in the Department, before the Research Advisory Committee, wherever applicable, which shall also be open to all faculty members and students. The feedback and comments obtained may be suitably incorporated in consultation with the Committee.
  • The research scholar shall submit the thesis within six months after the pre-Ph.D. presentation.
  • In case of issues related to Intellectual Property Rights (IPR), necessary patents shall be filed before disclosure in any seminar.
  • A Ph.D. research scholar shall publish at least one research paper in a refereed journal before submission of the thesis, and produce evidence (acceptance letter or reprint), certified by the Supervisor and the Head of the Department.
  • Ph.D. scholars shall make two paper presentations (oral or poster) in conferences/seminars before thesis submission and produce evidence (presentation certificate), certified by the Supervisor and the Head of the Department.
  • The University shall use plagiarism detection tools to verify all theses. A Plagiarism Check Certificate from the University Library must be submitted with the thesis to the Examination Branch. The final submission must happen within 30 days of the plagiarism check.
  • At the time of thesis submission, there shall be an undertaking by the research scholar and a certificate from the Supervisor attesting to the originality of the work, confirming no plagiarism or previous submission to any institution.
  • The abstract and table of contents must be submitted by the Supervisor to the Head of the Department for review by the Departmental Research Committee (DRC). The Board of Research Studies (BRS) shall review the recommended examiner panel and forward to the Examination Branch. The Chairman, BRS may approve the panel to avoid delays.
  • As per UGC Regulations 2016, the public viva-voce will be held only if the external examiner reports are satisfactory and recommend viva-voce. If one report is unsatisfactory, the thesis is sent to another examiner. If both are unsatisfactory, the thesis is rejected and the scholar is declared ineligible for the degree.
  • For Ph.D. thesis evaluation, corresponding actions must be taken as per the remarks of the external examiners as outlined in the University’s evaluation table.
    Recommendation Examiner 1 Examiner 2 Examiner 3 Action Suggested
    Event 1 Accept Accept Accept Viva voce
    Event 2 Accept Accept Minor Revision Revise thesis in consultation with Supervisor followed by viva voce
    Event 3 Accept/Resubmission Accept/Resubmission Resubmission Resubmission within one year after incorporating suggestions. Thesis to be sent to all examiners again.
    Event 4 Accept Accept Reject Thesis to be sent to fourth examiner whose recommendation shall be final and binding
    Event 5 Accept/Resubmission Reject Reject Reject and cancel registration

Structure of Ph.D. Operational Research

For more details, open the link.

There will be 4 Courses for the Ph.D. Coursework. Each student shall undertake two compulsory course on Research Methodology (Course Code: Ph.D. - 01) and Research and Publications Ethics (Course Code: Ph.D. - 02) alomg with two other optional courses decided by his/her Supervisor.

For complete details, open the link.
S. No. Course Code Course Name
(i) Ph.D. – 01 Research Methodology (compulsory)
(ii) Ph.D. – 02 Research and Publications Ethics (compulsory)
Any Two of the following Optional Courses
(iii) Ph.D. – 03 Inventory and Production Management
(iv) Ph.D. – 04 Marketing Management
(v) Ph.D. – 05 Mathematical Programming
(vi) Ph.D. – 06 Theory of Reliability
(vii) Ph.D. – 07 Software Reliability
(viii) Ph.D. – 08 Queueing Systems
(ix) Ph.D. – 09 Supply Chain Management
(x) Ph.D. – 10 Financial Engineering
(xi) Ph.D. – 11 Network Optimization

Detailed Syllabi of Ph.D. OR

Course ID Course Name PDF Page No.
Ph.D. – 01 Research Methodology (compulsory) 3
Ph.D. – 02 Research and Publications Ethics (compulsory) 3-4
Ph.D. – 03 Inventory and Production Management 4
Ph.D. – 04 Marketing Management 5
Ph.D. – 05 Mathematical Programming 6
Ph.D. – 06 Theory of Reliability 7
Ph.D. – 07 Software Reliability 8
Ph.D. – 08 Queueing Systems 9
Ph.D. – 09 Supply Chain Management 10
Ph.D. – 10 Financial Engineering 11
Ph.D. – 11 Network Optimization 12

E-Resources

S. No. Website Name Description Website Link
💻 DU E-Resource Platforms
1 DU E-Resources Portal For Postgraduate and Ph.D. Courses Access Now
2 University of Delhi Library System (DULS) Digital access to journals, books, and databases Visit DULS
3 INFLIBNET Access to Shodhganga, Vidwan, and ShodhShuddhi Visit INFLIBNET
4 JSTOR Scholarly articles archive (via DU access) Visit JSTOR
5 ScienceDirect Research papers and journals by Elsevier Visit ScienceDirect
6 SpringerLink & Wiley Access DU-subscribed journals (login via DULS) Visit DULS
🌐 IITs and International E-Resource Platforms
7 IIT Bombay – E-Resources Engineering and science digital content Visit
8 IIT Delhi – Online Resources Library access to research resources Visit
9 IIT Kanpur – E-Resources Academic and research databases Visit
10 IIT Kharagpur – Library Central Library of IIT KGP Visit
11 NIT Trichy – LRC Learning Resource Centre Visit
12 MIT OpenCourseWare Free courses from MIT Visit
13 Harvard University – Library Global library access and digital services Visit
14 Stanford Libraries Digital resources and journals Visit
15 University of Cambridge – Libraries International library resources Visit
16 University of Oxford – Bodleian Libraries Renowned research and digital access Visit
📘 Open Access and Learning Platforms
17 CORE Open access research repository Visit
18 ERIC Education-focused database Visit
19 PubMed Biomedical research and publications Visit
20 arXiv Preprint server for science papers Visit
21 SSRN Social science and law research Visit
22 SWAYAM MOOCs from UGC/AICTE Visit
23 e-PG Pathshala MHRD digital academic content Visit
24 NPTEL IIT/IISc video lectures and courses Visit
25 Shodhganga Indian Theses Repository Visit
26 Google Scholar Academic search engine Visit
27 DOAJ Directory of Open Access Journals Visit
28 Project MUSE Humanities and Social Sciences content Visit
29 OpenStax & Bookboon Free textbooks and academic books OpenStax, Bookboon
30 Overleaf Online LaTeX editor for academic writing Visit
S. No. Website Name Description Website Link
1 University of Delhi Official Website General information about University of Delhi www.du.ac.in
2 Delhi University Admissions Portal PG/Ph.D. admission guidelines, notices, and circulars admission.uod.ac.in
3 Delhi University PG Bulletin & Syllabus Official syllabi and course structures for PG/Ph.D. programs PG Courses – DU
4 University Grants Commission (UGC) It is a statutory body under Department of Higher Education, Ministry of Education, Government of India. https://www.ugc.gov.in/
5 Department of Operational Research (DU) Departmental announcements, syllabi, and schedules or.du.ac.in
6 Examinations Portal (DU) Notifications, date sheets, and results exam.du.ac.in
7 Online Results Portal PG/Ph.D. semester-wise result access duresult.in
8 Student Grievance Redressal Cell Submit academic/exam-related grievances online grievance.du.ac.in
9 DULS – E-Resources Portal DU Library System for PG-level digital content crl.du.ac.in
10 Scholarship & Fellowship Notices (DU) Research fellowships, scholarships, and UGC-NET support Scholarships – DU

Previous Year Questions (PYQs)

Master of Operational Research PYQ

S. No. Year PYQs
1. 2023-24 First Sem | Second Sem | Third Sem | Fourth Sem
2. 2022-23 First Sem | Second Sem | Third Sem | Fourth Sem
3. 2021-22 First Sem | Second Sem | Third Sem | Fourth Sem
4. 2020-21 First Sem | Second Sem | Third Sem | Fourth Sem
5. 2019-20 First Sem | Second Sem | Third Sem | Fourth Sem

Ph.D. Operational Research PYQ

S. No. Year PYQs
1. 2023-24 View Details for all Years
2. 2022-23 View Details for all Years
3. 2021-22 View Details for all Years
4. 2020-21 View Details for all Years
5. 2019-20 View Details for all Years

Academic Calander

S. No. Course Year Academic Calander
1. Ph.D. Operational Research and Master of Operational Research 2025 - 2026 View PDF (will be uploaded)
2. Ph.D. Operational Research and Master of Operational Research 2024 - 2025 View PDF
3. Ph.D. Operational Research and Master of Operational Research 2023 - 2024 View PDF

Timetables

Details will be added soon.

Examination and Results

Details will be added soon.