Term Structure
Every year is divided into three terms of four months each - January Term, May Term and September Term.
Each term of four months has 12 weeks of coursework (video lectures and assignments), 3 in-person invigilated Quizzes and End Term Exams.
Course Registrations
In each term, learner may register for upto 4 courses.
Foundational courses: The learners must register for the following two Foundational courses in the first term. Additionally, the candidate may choose to register for one or two more courses in the first term.
Diploma in Programming: Computational Thinking and Programming in Python
Diploma in Data Science: Mathematics for Data Science II and Statistics for Data Science II
Assessments
There are 3 types of assessments for each course:
onlineWeekly Assignments
monthly in-person Quizzes
in-person End Term Exam
In addition, assessments may include projects, programming exams and vivas.
Exam Cities
The Invigilated Quizzes and End Term exams are conducted in a number of cities spread across India.
We also conduct in-person exams in Sri Lanka, Singapore and UAE. Learners based out of other countries will be allowed to take up remote proctored exams. Note: Additional Exam Fee applies for all learners opting to write exams outside India.
The map shows our current Exam Cities List. View List .
If you reside outside India and cannot find a centre in your city / country, please write to ge-diploma@onlinedegree.iitm.ac.in for assistance.
Fee Structure
For details about application fees, check Application Process section in Admissions page.
Each term, pay only for the courses you register for in that specific term.
Foundational courses - ₹4,000 per course
Diploma in Programming: Computational Thinking; Programming in Python
Diploma in Data Science: Mathematics for Data Science II; Statistics for Data Science II
Skill Enhancement courses - ₹5,000 per course.
Diploma in Programming: System Commands
Diploma in Data Science: Tools in Data Science
All other courses - ₹10,000 per course
Additional Exam Fee will apply ONLY for learners taking our courses from outside India.
Fee waivers depend on the socio-economic background of the learner.
| Family Income > 5 LPA | Family Income > 1 LPA and <= 5 LPA | Family Income <= 1 LPA | ||||
|---|---|---|---|---|---|---|
| Fees | Docs Required | Fees | Docs Required | Fees | Docs Required | |
| General | Full Fee | NIL | 50% waiver | EWS + Family Income | 75% waiver | EWS + Family Income |
| OBC | Full Fee | NIL | 50% waiver | OBC-NCL + Family Income | 75% waiver | OBC-NCL + Family Income |
| SC / ST | 50% waiver | SC / ST | 50% waiver | SC / ST | 75% waiver | SC / ST + Family Income |
| PwD | 50% waiver | PwD | 50% waiver | PwD | 75% waiver | PwD + EWS / OBC-NCL + Family Income |
| SC / ST + PwD | 75% waiver | SC / ST + PwD | 75% waiver | SC / ST + PwD | 75% waiver | SC / ST + PwD |
The term
family income for the
purpose of availing fee waivers includes the income of the
candidate, the income of his/her parents and spouse, also the
income of his/her siblings and children below the age of 18
years. family income certificate is not required while applying
for Diploma program, but will be required to avail fee weiver
when joining the program.
Download Family income Certificate format
OBC-NCL / EWS certificate, if applicable, need to be obtained in following format while applying.
Diploma in Programming
| Computational Thinking | Foundational course | Course page |
| Programming in Python | Foundational course | Course page |
| Database Management Systems | Programming course | Course page |
| Programming, Data Structures and Algorithms using Python | Programming course | Course page |
| Modern Application Development I | Programming course | Course page |
| Programming Concepts using Java | Programming course | Course page |
| Modern Application Development II | Programming course | Course page |
| System Commands | Skill Enhancement course | Course page |
Diploma in Data Science
| Mathematics for Data Science II | Foundational course | Course page |
| Statistics for Data Science II | Foundational course | Course page |
| Machine Learning Foundations | Data Science course | Course page |
| Business Data Management | Data Science course | Course page |
| Machine Learning Techniques | Data Science course | Course page |
| Machine Learning Practice | Data Science course | Course page |
| Business Analytics | Data Science course | Course page |
| Tools in Data Science | Skill Enhancement course | Course page |