Get in iit without jee advance examination
Today I’m talking about IIT Madras Online Degree. IITM is India No.1 college . IIT M give me a chance to get IIT without jee Advance Examination.
Benefit theis program
Courses are taught by faculty of IIT Madras/other reputed institutes as well as experts from
the industry.
I studied all night for my final exam: //www.examlabs.com
Unlike many competitive exams which work on the philosophy of elimination and selection and
admit a very limited number of learners into various programs based on their performance
relative to that of others, in this program there are specific qualifying criteria, and a
significantly large number of learners can enter.
Learners of any background, be it engineering, sciences, humanities, arts, medicine, law, etc
can attempt and join this programs. There is no limitation on the age of the learner or their
geographical location
what is the course ?
- A) Data Science & Applications
IIT Madras has launched the BS in Data Science and Applications. In this program, the course
contents are delivered online and can be studied by anyone from anywhere, while the monthly
quizzes and final semester exams will have to be attended in-person at designated centres.
Depending on the number of courses completed, learners can earn
No of courses are present in 4years degree program
- a Foundation level certificate
- Diploma in Programming/Diploma in Data Science or both
- BSc degree in Programming and Data Science
- BS degree in Data Science and Applications
- Year 1: The Foundation level
○ Comprises 8 courses as shown below
○ Number of credits: 32
- Year 2: Diploma level
○ Includes 2 Diplomas – Diploma in Programming and Diploma in Data Science
○ Each diploma comprises 6 courses (23 credits) and 2 project courses (4
credits)
○ Number of credits: 54
- Year 3: BSc Degree level courses
○ Total of 28 credits
○ 2 core courses and mandatory course on Strategies for professional growth
○ Maximum of 4 credits can be obtained from NPTEL
- Year 4: BS Degree level courses
○ Total of 28 credits
○ Option of Apprenticeship – for 4/12 credits
○ Maximum of 4 credits from HS/MG stream
○ 24 credits from elective courses offered in the program (If apprenticeship not
done
Foundation level:
English 1, English 2, Mathematics 1, Mathematics 2, Statistics 1, Statistics 2, Computational
Thinking, Introduction to Python
Diploma level:
Diploma in Programming
- .Database management systems (DBMS), Programming Data Structures and Algorithms using
- Python (PDSA), Java programming, System Commands, Application development – 1,
- Application Development – 2
- Project course in Application Development – 1
- Project course in Application Development – 2
- .Diploma in Data Science
- Machine Learning Foundations (MLF), Machine Learning Techniques (MLT), Machine
- Learning Practice (MLP), Business Data Management (BDM), Business Analytics (BA), Tools
- in Data Science (TDS)
- Project course in Business Data Management
- Project course in Machine Learning Practice
BSc and BS level:
- Core Courses: Software Engineering, Software Testing, Artificial Intelligence and Deep
- Learning
- Elective Courses: Introduction to Cryptography and Cyber Security, Data Visualization
- Design, Special topics in ML (Reinforcement Learning), Thematic ideas in Data Science,
- Design Thinking, Market Research, Industry 4.0, Speech Technology, Strategies for
- Professional Growth, Big data and biological networks and Algorithmic thinking in
- bioinformatics
- Admission to the program
- Regular entryJEE-based entry
- Eligibility to Apply for the Qualifier test
- Anyone who has passed Class 12 or equivalent can apply irrespective of age or
- School students who have appeared for their Class 11 final exams can apply
- Qualifier Preparation: The qualifier process includes 4 weeks of coursework based on lecture videos, assignments, and live sessions of the four foundational level courses – English I, Mathematics for Data Science I, Statistics for Data Science I, and Computational Thinking – that will be provided through our online portal. Every week an assignment must be submitted for grading in each course. Qualifier Exam: At the end of the 4 weeks, a qualifier exam will be conducted for eligible candidates based on the content covered in the 4 weeks of study. Eligibility to appear for the qualifier exam (regular entry): In each course, the average of the best 2 out of the first 3 weekly assignment scores will be calculated. Only those who get the minimum required average assignment scores in all four courses (as given below) will be allowed to appear for the Qualifier Exam. Minimum Average Assignment Score required in each course General Learner 40%(Minimum Average Assignment Score required in each course)
- SC / ST / PwD (with 40%disability) 30%(Minimum Average Assignment Score required in each course)
- PwD with 40% disability & SC / ST 30%(Minimum Average Assignment Score required in each course)
- OBC-NCL / EWS 35%(Minimum Average Assignment Score required in each course)
- JEE-based Entry: Candidates who qualified to appear for JEE Advanced 2022 can directly join our program in the Sep 2022/Jan 2023/May 2023 Term by following the steps below:
- Watch video content and submit weekly assignments for first 4 weeks of the four
- They are all made Eligible to appear for qualifier exam, irrespective of their scores in
- It is mandatory to appear for the in-person quiz of 4 hours duration conducted at the
- Qualifying Process
- The week 1 content is available to all candidates to sample on the website
- The learner has to fill the qualifier form available on the website onlinedegree.iitm.ac.inThe learner has to pay the fees for the Qualifier exam – currently set as Rs 3000/-for
- Once the learner registers for the qualifier test, access to 4 weeks of content for the
- The content is released week wise with an assignment for each of the 4 weeks.The content will be made live with an announcement on the portal, and an alert
- The fee will not be refunded once paid.
- Admission to the program
Eligibility for passing the qualifier test
-
- Only those who get minimum average marks in the weekly graded assignments will be
- 1.1. Each assignment will be graded out of 100 1.2. Any assignment that is not attempted will be marked as
- 0. 1.3. The average of the best two out of the three assignments will be calculated in every subject and rounded off and compared to see if it is equal to or greater than the minimum marks required.