document & questionnaire - analytics india magazine · 2020. 10. 20. · this document and...

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Methodology Document & Questionnaire

By Analytics India Magazine

Data Science Education Ranking 2020

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The data science academic rankings by Analytics India Magazine have been celebrated for over six years in the industry. These are the only comprehensive rankings on academic institutions in the analytics and data science domain that judges the best-in-class training institutes and courses across their core offerings. In just a few years, they have become a benchmark for all data science educational needs in India.

These highly anticipated rankings are an industry benchmark and involve extensive primary research which is quantitative and numbers-driven, to provide a clear picture of how they compare against each other. The rankings provide the most balanced comparisons which have been trusted by students, academics, professionals and industry leaders over the years.

The rankings are judged on various performance indicators such as their core mission, faculty and teaching environment, knowledge transfer, course content, assistance post the course completion, pedagogy and more. These different parameters are individually rated to derive a collective ranking score.

This year we will be releasing 4 Data Science rankings:

1. Online Data Science Courses in India – Ranking 2020 (Purely online courses)

2. Part Time Data Science Courses in India – Ranking 2020 (Hybrid online + in-person courses)

3. Full Time Data Science Courses in India – Ranking 2020 (Purely in-person courses)

4. Bachelors Data Science Courses in India – Ranking 2020

Our earlier listings ranked just the top 10 courses in a category. Starting 2020, we will not restrict it to specified numbers.

Also, starting this year, we will make all the questionnaire data from the institutes public, to make these rankings transparent and unbiased.


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1.1. The ranking methodology is to define the scores for various parameters determined of the academic institutions.

1.2. These parameters are under seven broadheads, and some have been further explained into relevant sub-heads. Each broad head has an overall weight assigned to it. And some of these broad heads have an appropriate weight distribution.

1.3. We have attempted to identify relevant data required to assign the best performance score under each of the sub-head. The questions chosen here are that the participating institution can easily provide data and is readily available.

1.4. We have devised a suitable metric pertinent to the questions in order to compute a score under each of the broad heads. The sub-head scores are then added to obtain scores for each individual head. The overall score is computed based on the weights allotted to each head. The overall score can take a maximum value of 100.

1.5. The institutions can then be rank-ordered based on their overall scores.

1. Salient Features


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2.1. It is mandatory that the institutions that are desirous of participating in this year’s ranking exercise, supply the data in the given format (questionnaire) that will be shared along with this document.

2.2. The institutions are required to supply their responses on or before the last date (deadline) specified for this purpose.

2.3. Analytics India Magazine will review and if required take help from a third party to verify the data that the participating institutions have provided to ensure that the principles of ethical behavior are being adhered to.

2.4. Analytics India Magazine also reserves the right to modify any of the pre-defined metrics if it deems fit to do so in the interest of rationalization necessitated by the exigencies or the nature of the data encountered for evaluation. Any changes so made will be notified at the time of announcing the rankings.

2. Data Collection


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3.1. Analytics India Magazine will make the results of this ranking process public via a free to public access article on its website (www.analyticsindiamag.com).

3.2. Analytics India Magazine will share the methodology document along with the questionnaire via email to the relevant contact id as made available in the institutes website.

3.3. The institutes which are desirous of participating in the ranking process are to supply the required data on or before the last date (deadline).

3.4. Analytics India Magazine, by itself or with the help of any other suitable partner agencies will undertake the complete evaluation and authentication of supplied data, whenever felt necessary and where feasible.

3.5. Analytics India Magazine will extract the relevant information from the data supplied, compute the various metrics and rank institutions based on this data. The process is expected to be completed in about 45 days from the deadline set to receive the data from participating institutions.

3. Implementation Details


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4.1. All efforts will be made to display the raw data on Analytics India Magazine website after due processing of the data supplied by various participating institutions. This processed data is the one on which the rankings would be finally computed.

4.2. It will be the onus of the institutions to ensure that the data supplied is as per the requirement for appropriate evaluation.

4.3. If there are any discrepancies in the supplied data, Analytics India Magazine shall reach out for clarification or to provide relevant data. If the institution does not give any comments or feedback or supply the required relevant data within a specified period of time, then it will be assumed that the original data provided is accurate. No petitions for corrections will be accepted after the declared deadline, or any corrections made after the rankings have been announced.

4.4. It is the responsibility of the representative or official of the participating institution to ensure that the data supplied for evaluation by Analytics India Magazine is correct. And if data supplied is incorrect, then the same is brought to the notice of Analytics India Magazine before the last date (deadline) specified for this purpose of data submission. No such complaints will be entertained after the deadline for data submission has expired or after the release of the ranks.

4.5. If it is found that an institution has deliberately manipulated the submitted data, causing the rankings to reflect erroneously, Analytics India Magazine will exclude the institution from the ranking list and future rankings and publish a suitable note to this effect.

4.6. Also, institutions supplying partial data or highly skewed data leading to skewed interpretation of the results will not be considered and will not be featured in the rankings.

4. Errors and Correction Policy


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Ranking Parameters & Their Points

S.no Parameters Points Total

1. Pedagogy 10

100

2. Faculty Profile & Credentials 10

3. Faculty to Student - Ratio 10

4. Gender Diveristy 5

5. Graduation Outcome 20

6. External Relations & Placement Assistance

20

7. ROI & Brand Value 20

8. Student Review 5


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Ranking Parameters Questions& Their Individual Points

S.no Parameter Questions Total Points For The Category

I. Program Details

1. Program Name

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2. Program Link

3. Total duration of the programme including all modules (in months)

4. Total number of students who have enrolled for the programme till date

5. How many students (Learners) have successfully completed the programme till date


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II. Pedagogy

6. a. Total number of Learning session (hours) of the entire programme

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b. Total number of recorded online sessions/videos (in hours) of the entire programme

c. Total number of Live Online session (in hours) of the entire programme

7. Total number of Data Science tools taught to students of the programme


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III. Faculty Profile &Credentials

8. Total number of Faculty / Instructor’s for the programme (a + b + c + d)

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a. Total number of faculty with 2 to 5 yrs of Industry work experience (Non PhD)

b. Total number of faculty with 6 to 10 yrs of Industry work experience (Non PhD)

c. Total number of faculty with 2 to 5 yrs of Industry work experience (with PhD)

d. Total number of faculty with more than 6 to 10 yrs of Industry work experience (with PhD)


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IV. Faculty toStudent - Ratio

9. a. Total Faculty/Instructor’s strength for the programme

10 b. Average number of students per batch of the programme


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V. Gender Diversity

10. Total number of Female Learners “F” (in %) against Total number of Male Learners “M” (in %) enrolled for the pro-gramme till date (include data from the all previous batches as well as the current batch) i.e., Ratio of F : M?

5 a. Total number of Male Learners (in %) enrolled for the programme till date

b. Total number of Female Learners (in %) enrolled for the programme till date


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VI. Graduation Outcome

11. Total number of Module Level Assessments for the programme

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12. Total number of Programme Level Assessments

2

13. Total number of mandatory Capstone Project to be completed by a student

2

14. Programme completion rate (in %) verses the actual number of learners enrollment for the online progra m till date

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VII. External Relation & Placement Assistance

15. 1 on 1 Mentorship for learners 1

16. Industry partnership, affiliation or collaboration for the programme?

1

17. Percentage of students placed from the previous batch

12

18. Average placement rate of all batches of the programme till date

6


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VIII. ROI & Brand Value

19. Highest CTC (in INR) per annum of the student placed from the programme

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20. a. Programme fees (F) in INR

b. Average CTC (S) in INR of students placed c. Ratio of Programme fees (F) against Average CTC (S) of students from the programme

21. Admission criteria (Select any one criteria)

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a. Any Graduate can apply

b. Any Graduate with Minimum 1 year work experience can apply

c. Graduation with Maths OR Statics as one of the subjects is mandatory

d. Graduation with Maths OR Statics as one of the subjects + Basics in Pro gramming is mandatory

e. Graduation with Maths OR Statics as one of the subjects + Basics in Programming is mandatory + Minimum 1 year work experience


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VIII. ROI & Brand Value

22. Year of commencement of this online program?

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a. On of before 2014

b. 2015 or 2016

c. 2017 or 2018

d. 2019

e. 2020

23. University / Education partner affilia-tion or collaboration for the programme (Certificate from)

0


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IX. Student Review24. Student review of the programme (This will be done by AIM) 5


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5.1. This document and Questionnaire is the result of analysis carried out by Analytics India Magazine (AIM). Reproduction of the information in this Questionnaire with the same objective is strictly prohibited. Reasonable efforts have been made to select and create this questionnaire so that it helps in presenting data that is believed to be reliable, but makes no representations or warranty, express or implied, as to their accuracy or completeness or correctness in context of the objective.

All rights reserved with the aforementioned parties.

© 2020 Analytics India Magazine Pvt Ltd and/or its affiliates. All rights reserved.

5.2. Analytics India Magazine disclaims all warranties as to the accuracy, completeness or adequacy of such information and shall have no liability for errors, omissions or inadequacies in such information. This document consists of the opinions of Analytics India Magazine (AIM) and should not be construed as statements of fact. The opinions/methodology expressed herein are subject to change without notice.

5. Disclaimer

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Analytics India Magazine

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Get in touch with us [email protected]

www.analyticsindia,ag.com

document & questionnaire - analytics india magazine · 2020. 10. 20. · this document and...

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