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    In Their 60s and Still Learning: The IIT Madras BS Data Science Story
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    • In Their 60s and Still Learning: The IIT Madras BS Data Science Story

    In Their 60s and Still Learning: The IIT Madras BS Data Science Story

    Vivek KumarUpdated on 15 Sep 2025, 10:37 AM IST

    Stepping into the classroom at 60 may sound uncommon, but for many it is a second chance to follow their dreams. The IIT Madras BS in Data Science and Applications is one of the most inclusive and flexible degree programmes, attracting learners from the age of 15 to 60+.

    This Story also Contains

    1. Learning in 60s: Demographics of Students
    2. Where Do These Students Come From?
    3. Why Learners in Their 60s Choose IIT Madras BS Data Science?
    4. Lifelong Learning
    In Their 60s and Still Learning: The IIT Madras BS Data Science Story
    In Their 60s and Still Learning: The IIT Madras BS Data Science Story

    With 38,534 active learners, the programme majorly has a young population aged 15-25, making up nearly 87% of the total cohort size. Beyond this, there are learners aged 50 years or older, demonstrating that age is no barrier to learning skills such as data science and AI and ML.

    Learning in 60s: Demographics of Students

    The IIT Madras BS Data Science and Applications programme attracts students from different age groups, including learners in their 50s and 60s.

    Demographics of Students in 50s and 60s

    Age

    Number of StudentsPercentage of Total Students

    50-60 years

    247

    0.64%

    Above 60 years

    34

    0.09%

    Total

    281

    0.73%

    The data reveals that there are 281 students within the 50–60 years and above 60 years age bracket. This represents 0.73% of the total active student population of 38,534. Of these 281 students, 34 are above 60 years of age, making up 0.09% of the total active student population.

    While these learners represent less than 1% of the total active student count, they show a lifelong learning trend, professional depth, and diverse motivations, ranging from career transitions to entrepreneurial growth.

    Combined Representation of Different Age Group

    Age GroupNumber of StudentsPercentage of Total Students

    15–20 years

    18,143

    47.1%

    21–25 years

    15,312

    39.7%

    26–30 years

    2,045

    5.3%

    31–40 years

    1,879

    4.9%

    41–50 years

    874

    2.3%

    50-60 years

    247

    0.64%

    Above 60 years

    34

    0.09%

    Total

    38,534

    100%


    Among the majority of young learners aged between 15 and 20 years (47.1%) and between 21 and 25 years (39.7%), there are also learners in their 30s and 40s, emphasising the flexibility for continuing education.

    Additionally, the participation of learners in their 50s and 60s demonstrates the programme’s inclusivity and its appeal to individuals beyond traditional college age. Their participation not only adds to the diversity of the student community but also gives a reminder that learning has no age limits.

    Where Do These Students Come From?

    The student population of IIT Madras BS Data Science programme is geographically diverse, with a growing global footprint.

    State-wise Number of Students

    StateNumber of Students

    Tamil Nadu

    6,415

    Uttar Pradesh

    4,237

    Maharashtra

    4,162

    Delhi

    3,184

    Karnataka

    2,827

    West Bengal

    2,097

    Telangana

    2,052

    Bihar

    1,548

    Madhya Pradesh

    1,427

    Kerala

    1,420

    Rajasthan

    1,321

    Andhra Pradesh

    1,112

    Gujarat

    996

    Haryana

    872

    Punjab

    802

    Odisha

    707

    Jharkhand

    688

    Uttarakhand

    505

    Chattisgarh

    360

    Other States

    1,048

    Outside India

    757


    There is the overall state-wise distribution of students, with the highest from Tamil Nadu (6,415 students), followed by Uttar Pradesh (4,237), Maharashtra (4,162), Delhi (3,184), and Karnataka (2,827), the majority of learners within the 50-60 age bracket are also concentrated in these high-enrolment states.

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

    Why Learners in Their 60s Choose IIT Madras BS Data Science?

    The age demographics of students highlights a broader appeal of the IIT Madras BS in Data Science and Applications programme. With its flexible course structure and focus on data-driven skills, the programme draws mid-career professionals who seek to upskill, as well as learners in their 60s who look for new intellectual pursuits.

    Learners in this age group found this programme helpful for themselves to learn about emerging technologies, particularly artificial intelligence and machine learning.

    Programme Features

    • No Age Limit: The programme is open to students from all age groups, making it accessible to a wide range of learners.
    • No JEE Requirement: Students without JEE exam can apply for the programme and get enrolled after clearing the qualifier process.
    • Fully Online & Self-Paced: As the programme is delivered virtually, it becomes easier for learners to balance their study with work or family responsibilities.
    • Multiple Exit Options: The IIT Madras Data Science programme offers multiple exit options at the Foundation, Diploma, BSc, and BS levels, providing flexibility to learners.
    • Global Networking: As the programme attracts students from different age groups and academic backgrounds, learners can study alongside a diverse community of students from India and abroad and build a network.

    Lifelong Learning

    For many learners in the age group of 50-60 years and above 60 years, the IIT Madras BS in Data Science and Applications programme is about career advancement, with personal growth and intellectual fulfilment.

    Many see this programme as vital for staying competitive in the modern workplace.

    Learners in this age group joined to gain an entrepreneurial edge and improve business decision-making, while following their passion in teaching and other fields.

    Also Read: Study Abroad: IIT Madras BS Data Science Graduates land into these Foreign Universities

    Bottom Line

    Students after 50 are either still working full-time or are business owners or managing family responsibilities. The flexible nature of the IIT Madras BS Data Science and Applications programme allows them to study while balancing their other commitments. The programme’s no age limit and multiple entry-exit options make it particularly appealing to learners in their 60s.

    They can join the IIT Madras BS in Data Science and Applications programme at the Foundation level and choose to either pursue a full degree or exit with diploma(s) or a BSc Degree, depending on their goals and time availability.

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    Questions related to IIT Madras (IITM)

    On Question asked by student community

    Have a question related to IIT Madras (IITM) ?

    Hello,

    In 2025, IIT Madras JEE Advanced, closing ranks are around 171 for CSE, 306 for AI & Data Analytics, 849 for Electrical, about 1300 for Computational Engineering, around 1440 for Engineering Physics, 2468 for Mechanical, and about 6112 for Civil.

    To know more access below mentioned link:

    https://engineering.careers360.com/articles/jee-advanced-cutoff-for-iit-madras

    Hope

    Hello Aspirant,

    When applying to BS in Medical Sciences and Engineering at IIT Madras via the IAT (IISER Aptitude Test) for the OBC-NCL Female category, the suggested ranks and marks can differ every year depending on the level of difficulty or how many took the exam. However, based on the

    Hello aspirant,

    To get admission in the Dual Degree Aerospace Engineering (B.Tech + M.Tech) program at IIT Madras through JEE Advanced under the female quota, you should aim for a rank around 6000 to 6300 based on the previous year’s trends. In 2025, the closing rank for female supernumerary seats

    Hello,

    Yes, If you work hard and study regularly, you can definitely crack JEE Main and JEE Advanced.

    IIT Madras is tough, but many students from state boards have made it with good preparation. Focus on understanding concepts well, practice lots of questions, and solve previous years’ papers.

    Also, try

    With a preparatory rank of 3935, your chances of getting a seat at IIT Madras are unlikely. While a preparatory rank can sometimes lead to admission in less competitive IITs or specific courses, 3935 is a high rank within the preparatory category, and IIT Madras is one of the most