How Difficult is IIT Madras BS Data Science? - Exam Pattern, Passing Marks, Study Plan

Program Structure: Courses & Credit Requirements

The IIT Madras in BS Data Science and Applications programme is structured over four levels: Foundation, Diploma, BSc Degree, and BS Degree; each involves credit-based courses, projects, and exit options.

The entire programme can be completed between 4 to 8 years, depending on the learner's pace. Students also have the option to exit with a Foundation Certificate, Diploma, BSc Degree, or the full BS Degree.

• Anyone after Class 12th can apply for and clear the Qualifier Process to join the Foundation Level.
• Learners are required to clear all 8 Foundation Level courses to join the Diploma Level.
• Learners after successfully clearing all 8 courses in Foundation Level and all 12 courses + 4 projects in Diploma Level can proceed to the BSc Degree Level.
• Once the learner earned 114 credits and completed the BSc Degree Level will become eligible to enter the BS Degree Level.

Also Read: IIT Madras BS in Data Science Completion vs Dropout Trends: What Numbers Tell?

Assessment and Exam Pattern

IIT Madras BS in Data Science and Applications programme follows an assessment process, which includes quizzes, projects and assignments, and end-term examinations. To clear each level to either exit or proceed to the next level of the programme, students have to qualify for each assessment.

Time and Format of Assessments

Important Notes:

• The scores obtained in weekly assignments will be counted towards the Total Course Score (T) and will be considered as the eligibility to write the End Term Exam.
• Each in-person quiz will be a single session exam with 4 hours to attempt 4 subjects, 3 hours to attempt 3 subjects and 2 hours to attempt 2 or 1 subject.
• Students are advised to attend at least one of the two quizzes, otherwise, ineligible to write the final exam.
• End-term exams can be conducted only on Sundays at designated exam centres across India.
• International students can sit for in-person exams in Bahrain, Kuwait, Oman and UAE or take up remote proctored exams.

Grading and Evaluation

The final grade for each course is considered based on the cumulative performance across the weekly assignments, in-person quizzes, end-term exam, and projects.

• To be eligible for the end-term examination, the average weekly graded online assignment score should be more than or equal to 40 out of 100.

Passing criteria for each course

• Total Course Score (T) = Average Quiz Score Q (out of 50) + End Term Score E (out of 50)
• A candidate shall be considered to have passed a course if Total Course Score (T) is more than or equal to 50 out of 100.

Additional Assessments

The IIT Madras BS Data Science and Applications programme also include additional assessments:

• Programming Exam
• Mini-projects
• Vivas
• Take-home Assignments

Also Read: IIT Madras BS in Data Science: Salaries, Career Growth for 2024 & 2025 Job Outcomes

Passing Marks

IIT Madras BS Data Science programme follows a grading pattern. Students are awarded the degree under 3 categories:

• Highest Scores: Highest CGPA at each level
• Certificate of Academic Distinction: CGPA greater than 9.5
• Certificate of Merit: CGPA greater than 9.0

In 2023, a total of 8 students scored Highest CGPA across all the levels, ranging between 9.95 and 9.74 CGPA. The number of students who secured the highest CGPA (between 10 and 9.66) across all the levels in 2024 was 6.

CGPA Distribution Analysis (2023)

In 2023, the distribution of CGPA scores among students fell between 9.95 and 9 across all the levels.

Foundation and Diploma - 2023

The data highlights the distribution of CGPA scores at the Foundation and Diploma levels ranges between 9.95 and 9, with 4 students receiving the highest score (9.95 - 9.91). 22 students scored between 9.88 and 9.51, earning the Certificate of Academic Distinction. Additionally, 53 students have a CGPA between 9.49 and 9, receiving the Certificate of Merit.

Direct Diploma - 2023

This means 3 students achieved a CGPA ranging from 9.94 to 9.91, marking the highest scores within the Direct Diploma.

BS Degree - 2023

At the BS degree level, the highest score was achieved by only 1 student, with a CGPA of 9.74. This represents outstanding academic performance at this level.

CGPA Distribution Analysis (2024)

In 2024, the distribution of CGPA scores among students across all the levels fell between 10 and 9. This represents higher CGPA scores earned by students when compared to last year.

Foundation and Diploma - 2024

In the Foundation and Diploma programmes, 3 students scored a highest CGPA between 10 and 9.95. 33 students with CGPA greater than 9.5 or between 9.86 and 9.51 earned the Certificate of Academic Distinction. Additionally, 67 received the Certificate of Merit for achieving a CGPA above 9.0 (between 9.49 and 9).

Direct Diploma - 2024

The data shows that 2 students in the Direct Diploma programme received a CGPA between 9.74 and 9.66, representing the highest scores at this programme level.

BS Degree - 2024

In the BS Degree programme, only 1 student scored the highest CGPA of 9.82. 5 students earned the Certificate of Academic Distinction for scoring between 9.77 and 9.53 CGPA. Additionally, 30 students received the Certificate of Merit for attaining a CGPA above 9.0 (between 9.47 and 9.02).

Study Plan and Time Commitment

The IIT Madras BS Data Science and Applications programme follows a structured study plan for each level and courses. As the programme is flexible and delivered virtually, students require significant time commitment based on the number of courses. Here is the overview of the study hours expected at each level:

Level-Wise Time Commitment

Daily Time Commitment:

• For Foundation Level: 1.67 hour per day
• For Diploma and Degree Levels: 2.5 hours per day

The Difficult Level of IIT Madras BS Data Science Program

Many students enrol in the IIT Madras BS in Data Science and Applications alongside another degree or are working full time. This creates heavy workload and difficulty in balancing multiple responsibilities.

Students, especially those from non-technical backgrounds and who lack strong maths and statistics skills, can face challenges and find this programme difficult.

Subjects Where Students may Face Challenges:

• Mathematics
• Statistics
• Machine Learning
• Programming
• Database Management System (DBMS)

How to Succeed in IIT Madras BS Data Science Program?

IIT Madras BS in Data Science and Applications is a degree programme that provides rigorous learning in the data science field. To earn the BS Degree, students should successfully complete all four levels, with required credits.

Efforts Commitment

Although IIT Madras BS Data Science is an online programme, students require a well-structured study plan, consistency in completing assignments and quizzes, and strategic focus on core subjects.

Core Subjects

The Foundation Level courses emphasise essential knowledge in mathematics, statistics, and programming. Focusing on these subjects early will help build a solid foundation for more advanced topics.

Regular Revision and Practice: Students need to participate in in-person invigilated quizzes and assignments for each course. This will help them with hands-on practice, particularly in programming and machine learning.

Prioritise Projects and Practical Application: The Diploma Level involves multiple projects. Prioritising these hands-on projects and practical applications will help apply theory into real-world scenarios.

Diploma Projects

Time Management and Planning: The programme requires 10-15 hours per course/week. Breaking down the study hours for each course per week will help learners manage their learning and other commitments.

Also Read: IIT Madras BS Data Science Student Review

Bottom Line

Succeeding in the IIT Madras BS in Data Science and Applications programme requires strategic planning, consistent time management, and efforts. Students can expect a typical time spend of 10-15 hours per week for each course of the programme, depending on the level of study.

Prioritising weekly assignments, dedicating weekends for in-depth study sessions, and focusing on hands-on projects can be helpful in successfully completing the IIT Madras Data Science programme.