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Terms and Conditions

                                                                             International Referral Reimbursement Policy

This International Referral Reimbursement Policy applies to users (referred to as “user”, “users”, “your” or “you”) who are participating under this Policy (the “Policy”). Your participation in the Policy is deemed if (a) you share your referral code with others by any means whatsoever, or (b) you use another’s referral code in your application. By participating under this Policy, you acknowledge and agree to be bound by all of the terms and conditions of this Policy, which are in addition to and subject to upGrad’s ‘Terms of Use’ and ‘Privacy Policy’ available on the upGrad’s website. upGrad facilitates higher education programs from various Universities, providing rigorous industry-relevant programs designed and delivered in collaboration with world-class faculty and industry experts (“Program”). By participating under this Policy, you consent, agree and undertake to abide, be bound to the terms of this Policy. If you do not agree to these terms, then please do not participate in the Policy. upGrad reserves the right to modify or terminate the Policy, in whole or in part, at any time and in any manner.

1) Definitions:

“Friend” means the individual being referred by a Referrer.

“Non-paid Referrer” means an upGrad learner who has neither made a part payment nor full payment towards any upGrad Program and is making the reference. Block payment or caution amount are not considered as a part payment.

“Non-paid Referrer Reward” means the benefits that will be provided to the Non-paid Referrer.

“Paid Referrer” means an upGrad user who has either made a part payment or full payment towards any upGrad Program and is making the reference. Block payment or caution amount are not considered as a part payment.

“Paid Referrer Reward” means the benefits that will be provided to the Paid Referrer.

“Qualified Referral” means a (i) referral is for the Program listed in Table A; and (ii) Friend has made the part payment or full payment, as the case may be and have not withdrawn the enrolment.

“Referrer” means either a Paid Referrer or a Non-paid Referrer.

“Referral Code” is the code generated when the Referrer submits his own application or otherwise in a manner decided by upGrad.

“Reward” means the benefit receivable under this Policy, in the form of cash, gift vouchers or fee waivers, as the case may be.

2) Eligibility Criteria for this Policy: The Referrer must share her/his Referral Code with the Friend, which in turn must be used/applied by the Friend in his/her sign up /application process at upGrad for a Program. The Referral Code can be added by the Friend in the edit profile section before the application is submitted. upGrad shall not accept the Referral Code any time after the application is submitted by the Friend. The benefit under this Policy can be availed only for the referral of the programs listed in Table A and if the referral meets the criteria for a Qualified Referral. This Policy will be in force till June 2024.

3) Value & Disbursement of Reimbursement Reward for Qualified Referral:

(i) For Referrer: The value and disbursement of the Reward for Referrer shall be as per the Table A, Table B and other terms of this Policy. The Reward receivable by the Referrer shall be determined on the basis of the Program which the Friend has registered and paid for. For example, if the Referrer has enrolled for SSBM Global Doctor of Business Administration and the Friend is enrolled for the Duke CE Post Graduate Certificate in Product Management, the Referrer and the Friends shall be eligible for a Reward attributable to the Duke CE Post Graduate Certificate in Product Management in the table below. Referrer will have option to select from the following modes of Reward pay-out :-

a. Gift Voucher :- This will be given to the Referrer within 20 working days from the timeline specified in Table B, provided Referrer has shared the requisite details within 3 months from the date of receiving a request from upGrad or such other timeline as communicated by upGrad failing which the Referrer will forfeit the payout. Reward will be credited in the Referrer’s bank account within 15 working days from the timeline specified in Table B, provided Referrer has shared the required bank account details on time.

b. Cash Reimbursement :- Reward will be credited in the Referrer’s bank account within 40 working days from the timeline specified in Table B, provided Referrer has shared the required bank account details on time within 3 months from the date of receiving a request from upGrad or such other timeline as communicated by upGrad failing which the Referrer will forfeit the payout.

(ii) The amount of Reward receivable is dependent on the status of the Referrer and the Referee at the time when such Reward is to be disbursed.

(iii) For Friend: The value of the Reward for Friend shall be as per the discount applicable on his/her Program. The discount availed by the Friend in the form of fee waiver shall be applied at the balance payment stage, and not at the time of block payment. In case the full Program fee is paid by the Friend without adjusting the discount (fee waiver), the Reward amount shall then be processed as Cash Reimbursement after deducting TDS as per applicable laws.

Table A: Program wise value of the Reward for Referrer:

 

Referrer Reward in USD*

(If the Friend has paid in USD, SGD, AED, GBP, EUR, AUD, CA$)

 

 

Referrer reward in USD*

(If the Friend has paid in VND, MYR, SAR, IDR, ZAR)

 

 
Name of ProgramPaid ReferrerNon-Paid Referrer Paid ReferrerNon -Paid Referrer
Dual MBA and DBA | Edgewood  1000  500  1000  500
Doctorate in Business Administration | Edgewood 1000 500 1000 500
GGU Doctor of Business Administration 1,500 500 1,500 500
ESGCI | Doctorate of Business Administration 1000 500840500
Doctor of Business Administration Emerging Technologies (Concentration in Generative AI)  2500 500 2000 500
Doctor of Education (Ed.D.) | Edgewood  1200  500  1000  500
Doctorate of Business Administration from Rushford Business School 1000  5001000 500
Master of Business Administration | Edgewood  500  200  500  200
Master of Business Administration | Woolf   200  50  200  50
Master of Business Administration | Deakin (Global)  1000  500  700  500
Master of Science in Data Science | Woolf   200  50  200  50
Master of Business Administration (MBA) Liverpool Business School 700 500 600 500
Master of Science in Thanatology (Edgewood College) 1000 500 1000 500
LJMU Master of Science in Data Science  700 350 600 350
GGU LLM (Master of Laws) 800 500 600 500
GGU Master of Business Administration 800 500 600 500
Master of Science in Machine Learning & Artificial Intelligence LJMU  700 350 600 350
Executive Post Graduate Program in Data Science and Machine Learning - UoM  500  100  300  100
Professional Certificate Program in Data Science and Business Analytics - UoM 200 100 150 100
Master of Science in Computer Science - LJMU 700 350 600 350
Wharton- Leadership and Management in New-Age Business 200 100 150 100
Executive Post Graduate Program in Software Development - IIITB 400 100 300 100
IIITB - Post Graduate Programme in Data Science & AI (Executive) 400 200 300 200
IIITB - Post Graduate Programme in Machine Learning & AI (Executive) 400 250 300 250
Post Graduate Certificate Program in GenerativeAI | upGrad Institute 100  50 100 50
Duke - Post Graduate Certificate in Product Management 200 100 150 50
MSU-Global Master Certificate in Integrated Supply Chain Management 200 100 150 50
MSU-Global Master Certificate in Business Analytics 200 100 150 50
IIITB - Post Graduate Certificate in Data Science & AI (Executive) 200 100 150 100
MICA Advance Certificate in Digital Marketing and Communication 100 50 100 50
Post Graduate Certificate in Machine Learning & NLP (Executive) 200 100 150 100
Post Graduate Certificate in Machine Learning & Deep Learning (Executive) 200 100 150 100
IMT PG Programme in Management 200 100 150 100
MSU-Global Professional Certificate in Effective Leadership & Management 200 100 150 50
GGU Master of Business Administration (Study abroad) 500 250 500 250
GGU Master of Science in Business Analytics (Study abroad) 500 250  500 250
Post Graduate Diploma in Data Science | upGrad Institute  500  200  300  200
Post Graduate Diploma in Management | upGrad Institute  400  100  200  100
Post Graduate Certificate in Gen AI | upGrad Institute  100  50  100  50

*Reward pay-out will be subject to the applicable TDS and/or other applicable tax requirements of the country of the Referrer or the Friend, as the case may be.

 

*For all GGU Programs, referral discount is not applicable.

 

Table B: The pay-out eligibility, timeline & value shall be as per the table below:

         Friend                                  Non-Paid Referrer                                Paid Referrer
Has made full payment for the Program or paid more than 50% of the Program FeesWill be eligible for 100% Non-Paid Referrer Benefit once the Friend's Program commencesWill be eligible for 100 of the Paid Referrer Benefit once the Friend's Program commences

 

4) Fair Usage Requirements:

● If the referrer opts for a PayPal referral reward, transaction charges may apply based on country regulations. Please refer to the relevant rules here.https://www.paypal.com/webapps/mpp/paypal-fees

● Incomplete or incorrect details from the referrer will result in a delay in payouts until the correct and sufficient information is provided in the required format for each referee.

● In the event of incorrect or insufficient information from the referrer, a notification will be sent within 40 days of the received details.

● This Policy has been designed with a vision to make upskilling a lucrative and economical option for the friends and family members of our learner community. Use of the Referral Code against the letter or spirit of this Policy or violation or non-compliance with any of the terms of this Policy would result in disqualification and the concerned Referrer or Friend would not be eligible for the corresponding Reward. Further, in such instance, upGrad has a right to block the Referral Code. The decision of upGrad shall be considered final.

● The Referrer must refrain from sharing the Referral Code publicly, such as on social media platforms or with any employee at upGrad or other entity associated with the direct sale of any of upGrad’s Programs for the purpose of getting the Referral Code used by upGrad’s prospective learners who the Referrer has no connection with.

● The Referrer shall refrain from misrepresenting any Program or creating a fake account or an account solely to avail benefits under this Policy.

● To validate fair usage, upGrad will conduct a call-based verification process to understand the connection between the Referrer and Friend.

● The benefits under this Referral Policy cannot be clubbed with any other scholarship/fee waiver or benefits. If you have already availed another benefit, the benefits of this Referral Policy shall not apply. For further clarity, please check with your respective counsellor.

● The Referral Code usage is limited to five (5) enrolments per quarter. Any exceptions made to the foregoing limit for learners/alumni will be communicated by upGrad.

●The Friend who has blocked the seat and has enrolled with upGrad without the Referral Code or with an incorrect Referral Code, will not be allowed to modify or add the Referral Code at a later stage to avail the benefits under this Policy.

● By using a Referral Code, the Referrer and Friend consent to use by upGrad of the personal information shared by such person for marketing purposes including via calls, texts and emails. Please refer to upGrad’s privacy policy for information on how we may use your data and your rights in relation to such data.

● Any disputes or claims arising out of or in connection with this Policy shall be subject to the exclusive jurisdiction of Mumbai Courts.

● upGrad learner who enrolls again for another program, shall be eligible for above mentioned alumni discount of the program in which the learner is enrolling. In this case the learner cannot use any referral code and will not be eligible for any referral reward.