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Calculate and design a framework for students to choose their dream college.

A student graduating from, let's say, B. Tech in IT from a general college in India and getting a job of INR 4 lakhs. He plans to do Masters from abroad in fields related to computer science, AI, data science or finance or management. He is concerned about the job prospects abroad and loan payback period post his masters. He is also confused between which countries to choose for a better future prospect in terms of higher employment compensation (salary) He is also in doubt if his abroad education can make a difference if he plans to come back after 2yrs to India and join a company here. Now how will he get an understanding of how a course from – a. USA b. UK c. Ireland & Germany d. Canada e. Australia can affect his earning potential difference and what will be the difference? If he takes an education Loan of “INR Y” (say INR 20Lakhs) and the interest rate is 12% +- 1%. Then in normal conditions of him getting a target employment abroad, by when can he pay the loan amount and reach breakeven while living a normal lifestyle abroad? The factors to take in to consideration-

 Salary Statistics of the Target College, country & field. (eg- payscale, Glassdoor, LinkedIn, etc.)

 Loan & interest calculations. (SBI, INCRED, BOB, AXIS, CREDILLA, PRODIGY Finance, etc.)

 Living Expenses calculations & taxes considerations (of target city, zone, and country).

 TASK- Now, calculate and design a frame work for the developers to make a tool which calculate the earning potential difference and loan payback period for every courses from USA, UK, Canada, Ireland, Australia & Germany. This will also give confidence to banks for providing education loan. The product needs to work for Indian students and also holds infrastructure for global expansion. The blueprint and the calculation should be prepared and an A/B test strategy needs to be designed. The roadmap for scale up needs to be prepared.
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Defining the problem 

We need to design a model for bankers which help them to understand if they should give the loan to the students

The banker will decide on whether to go ahead, based on the number of loan period i.e. time taken by the student to pay the loan in months. 

While calculating the loan periods, bankers may have students going through following scenarios 

1. Studying in country USA  or UK or Ireland 

2. Will do courses in CSE, AI, Data Science, Finance Management 

3. May or May not come back to India after 2 years 

 

Solutioning

I will use below formula to calculate the Loan period of a student. 

Loan Period = NPER ( Interest Rate, Monthly Loan Repayment, Pending Loan Amount ) 

 

Here Monthly Loan Repayment, Pending Loan amount depends on various variables like in which country student is studying, which course he is studying, his excellence in the exams, job opportunities in the course domain etc. 

 

 

 

Loan payback period = Depend upon ( Monthly Loan repayment AND Monthly Loan Interest AND Total Loan Amount Pending )

 

Monthly Loan Repayment = Depend upon ( Potential Earnings AND % of contribution toward loan ) 

 

Potential Earnings = Depend upon ( Cost of living AND Compensation of the candidate )

 

Cost of living = Depend upon ( Cost of food AND Cost of Shelter AND Cost of expenses in which candidate is ) 

 

Compensation of the candidate = Depend upon ( Job opportunities in the country AND Excellence obtained by the candidate in the domain )

 

Job Opportunities in the country = Depend upon ( Number of jobs in the domain AND Total candidates in that course domain )

 

Deciding the uncertainty levels 

1. Level 0 - Will vary very less in the future ( Rate of interest, % of earning ) 

2. Level 1 - Will vary little in the future ( Cost of food, Cost of shelter ) 

3. Level 2 - Could move from one value to another value ( Total candidates applying for a job in the field ) 

4. Level 3 - Could vary in a spectrum in the future ( Number of jobs in the field, Candidates performance in the field ) 

 

Now while calculating the loan payback period - We need to consider these uncertainties. 

 

Student Amit Aggarwal   
Education CountryUS   
CourseCSE   
Coming to India after 2 yearsYES   
Loan Amount Taken60 Lacs   
     
     
     
First two yearsUncertainty Best Case ScenarioAverage Case ScenarioWorst Case Scenario
Cost of the food in the countryLevel 1300$  
Cost of the shelter in the countryLevel 11500$  
Cost of the expenses in the countryLevel 11000$  
Total Cost of Living  2800$/month  
# of jobs in the course fieldLevel 31M  
Total applicants in that domainLevel 2500K  
Excellence of the candidateLevel 3High  
Compensation  8K/month  
% contribution toward EMILevel 020%  
Payment toward EMI 1600$  
Monthly Interest RateLevel 012%  
     
Loan Payback Period in Months  69.66071689  
Loan paid in two years 38400$  
     
Loan Payback after 2 years ( Came back to India )  41600$  
     
After 2 years    
Cost of the food in the country ( India ) Level 15000INR  
Cost of the shelter in the countryLevel 120000INR  
Cost of the expenses in the countryLevel 120000INR  
Total Cost of Living 45000/month  
# of jobs in the course fieldLevel 31M  
Total applicants in that domainLevel 2500K  
Exellence of the candidateLevel 3High  
Compensation 100000/month  
% contribution toward EMILevel 050%  
Payment toward EMI 50000INR  
Monthly Interest RateLevel 012%  
     
Loan payback Period in Months 92.08645877  
     
Total Loan Payment period   162 Months  

 

 
 
 
Perform similar calculations considering the uncertainties in which candidate has not perform well then
instead of earning 100K$ per year, he might be just 60k$/month. based on which Monthly payment will change and hence loan payback period 
could change drastically .. 
 
To reduce the complexity - I have consider all courses are highly valuable so generate more or less same job opportunities. 
Otherwise they will generate different number of jobs oppotunities etc . 
 
 
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Get access to over 238 hours of video material containing an interview prep course, recorded mock interviews by expert PMs, group practice sessions, and QAs with expert PMs
Boost your confidence in PM interviews by attending peer to peer mock interview practices, group practices, and QA sessions with expert PMs