Audit IIT Madras BS for German Masters

Build an evidence-based audit of your IIT Madras BS for German master's entry.

Introduction

30 Second Summary

Checking whether your degree qualifies for a German master's can leave you with dozens of tabs but no clear answer. A familiar university name or a large credit total still leaves important questions unresolved.

In this project, you will build a reusable German Master's Eligibility Audit Pack for your IIT Madras BS in Data Science and Applications. The finished pack will separate confirmed evidence from open questions that need clarification.

What You'll Build

You will open your audit pack and immediately see whether each admissions claim is confirmed, uncertain, or waiting for a specific piece of evidence.

By the end of this project, you'll have:

A source-linked Google Sheets evidence inventory where filtering by status leaves the degree title, total credits, programme levels, coursework categories, and official sources visible.
A recorded anabin recognition check that preserves your institution search and degree search without treating an incomplete public result as rejection.
A coursework matrix that shows how your IIT Madras courses compare with Saarland University's subject expectations. You will also have a risk register plus two ready-to-send clarification requests in Google Docs.
Secret Mission: Apply the same audit to the University of Mannheim to uncover its degree, subject-credit, grade, and GRE risks without inventing an ECTS conversion.

Are there any prerequisites?

You need active enrollment in the IIT Madras BS in Data Science and Applications. You also need a Windows computer, an existing Google account, and internet access.

Before We Start

German master's eligibility can feel like a single yes-or-no question. A useful audit begins with the exact decision you want the evidence to support.

You will confirm that Google Chrome can reach the sources you need. You will also commit to one eligibility question before gathering evidence.

In this step, get ready to:

Prepare Google Chrome with your existing Google Account signed in.
Define the German master's eligibility decision that your audit needs to support.

Verify Google Chrome

Google Chrome gives you one consistent browser for the official sources in this audit. Your Google Account will preserve the files you create later.

Press the Windows key to open the search box.
Type Google Chrome into the search box.

✔️ Google Chrome opens

Chrome is already available. You have the browser this audit needs.

Select Google Chrome from the search results to open it.

ⓧ Google Chrome is not installed

Chrome needs a quick installation before you continue. Google provides the Windows installer at no charge.

Open the browser currently available on your computer.
Visit Google's Chrome installation guide.
Download the Chrome installation file through the link in the guide.
Open the downloaded installation file.
Select Run or Yes if Windows asks for permission.
Follow the on-screen installation instructions.
Open Google Chrome from Windows search after the installation finishes.

Chrome Installation Not Finishing?

Use this guided prompt to diagnose the point where the installation stopped: Help me troubleshoot Google Chrome installation on Windows.

Your existing Google Account is enough for this step. The password entry stays inside Google's sign-in flow.

Select Profile at the top right of Chrome.
Select Sign in to Chrome.
Enter the sign-in information for your existing Google Account.
Select Next.
Complete any identity check that Google requests.

After sign-in, you'll see your profile image or initial at the top right. That confirms Chrome is ready for your evidence workspace.

Write your audit decision statement

Your audit needs a precise question because German universities publish different eligibility rules. The sentence you write now keeps later evidence tied to your actual decision.

Choose the one German master's eligibility question that you most want to resolve.
Identify why the answer matters to your degree planning.
Write one sentence in the checkpoint below.

Before the final check, consider whether your sentence clearly contains both parts.

Reread the sentence you entered above.

You should be able to point to one German master's eligibility question. You should also see one reason that the answer matters to you.

Your audit now has a clear purpose. Next, you will create the spreadsheet and memo that turn this question into a source-linked investigation.

Set Up Your Evidence Workspace

Your audit question is clear. Now its evidence needs a dependable home before you compare programmes.

Scattered links become hard to trust across browser tabs. A signed-in Google Chrome window keeps your work connected to your Google account.

Google Sheets will hold your structured audit. Google Docs will hold your future admissions requests.

In this step, get ready to:

Confirm your signed-in Google Chrome workspace.
Create the four-tab eligibility audit in Google Sheets.
Create a persistent evidence memo in Google Docs.

Confirm Chrome is ready

Your signed-in browser connects each new file to the Google Drive account you already use. This keeps the audit available after the browser refreshes.

Switch back to the Google Chrome window from earlier using the Windows taskbar.
Check the profile area in the top-right corner for the Google account you used earlier.

That first check is done. Chrome is connected to the account that will store your audit files.

Create the audit spreadsheet

The spreadsheet separates each evidence type into its own tab. This keeps recognition findings separate from programme-fit conclusions.

Create a blank spreadsheet by entering https://sheets.google.com/create in Chrome's address bar.
Click the spreadsheet title in the upper-left corner.
Replace the current title with Germany Master's Eligibility Audit - IITM BS.
Double-click the first sheet tab at the bottom.
Enter Degree Evidence as its name.

Why Split the Audit Into Tabs?

The Degree Evidence tab captures what IIT Madras publishes. The Recognition tab preserves public database findings.

The Programme Fit tab compares subject requirements. The Risk Register tab turns uncertainty into next actions.

Select the plus button at the bottom three times to add three blank sheet tabs.
Double-click the second sheet tab.
Enter Recognition as its name.
Double-click the third sheet tab.
Enter Programme Fit as its name.
Double-click the fourth sheet tab.
Enter Risk Register as its name.
Click outside the final tab name to finish editing it.

You should see the spreadsheet title at the top. You should also see all four named tabs across the bottom.

Create the evidence memo

The memo gives your clarification requests a separate home from the audit table. A retained test line proves the document is saving to the signed-in account.

Create a blank document by entering https://docs.google.com/create in Chrome's address bar.
Click the document title in the upper-left corner.
Replace the current title with German Admissions Clarification Requests - IITM BS.
Click the blank document page.
Type Workspace test entry for future admissions requests. on the first line.
Wait for the saving indicator near the title to settle.

Before you test the workspace, do you expect both files to reopen with their names and saved contents intact?

Return to the Google Sheets home screen by entering sheets.google.com in Chrome's address bar.
Open Germany Master's Eligibility Audit - IITM BS from the file list.
Refresh the spreadsheet using Chrome's refresh button.

You should still see Degree Evidence, Recognition, Programme Fit, and Risk Register across the bottom.

Return to the Google Docs home screen by entering docs.google.com in Chrome's address bar.
Open German Admissions Clarification Requests - IITM BS from the file list.
Refresh the document using Chrome's refresh button.

You should still see the named document with Workspace test entry for future admissions requests. on the first line. Your evidence workspace is saving correctly.

Can't Find One of the Files?

Check that Chrome still shows the same signed-in profile you confirmed earlier.
Search the matching home screen using the file's exact title.
Help me find a Google Sheet or Google Doc that I just created.

Your audit workspace is ready to preserve every claim beside its evidence. Next up, you will build the IIT Madras degree inventory.

Build Your IIT Madras Evidence Inventory

Your Google Sheets workspace is ready. The next challenge is making every claim traceable to its source.

A degree title, a credit total, and a personal course plan carry different levels of certainty. This step separates those items so your later eligibility decisions start with evidence.

In this step, get ready to:

Structure the Degree Evidence tab around claims, sources, and evidence statuses.
Record the IIT Madras credential structure from the official academics page.
Group current coursework by subject area and course-selection status.

Create the evidence columns

Evidence provenance keeps each claim tied to the page that supports it. A status label keeps official facts separate from open questions and your own plans.

Switch back to the Germany Master's Eligibility Audit - IITM BS Sheet in Chrome.
Select the Degree Evidence tab at the bottom of the Sheet.
Enter Claim, Official value, Source URL, Evidence status, and Notes across the first row in that order.
Use only Official, Needs clarification, or Personal plan in the Evidence status column.

You should now see five evidence columns across the first row. These columns give every future finding a source and a certainty level.

Record the credential structure

The credential structure establishes what IIT Madras officially awards. The source link lets you distinguish that fact from a future German admissions interpretation.

Open the official IIT Madras academics page in a new Chrome tab.
Locate the completion section that names the awarded credential and the total required credits.

The official page names the credential as BS Degree in Data Science and Applications. It requires successful completion of 142 credits plus the course requirements.

Switch back to the Degree Evidence tab.
Add a Degree title row with BS Degree in Data Science and Applications as its official value.

You should now see the exact awarded credential in your inventory.

Add a Completion requirement row with 142 credits as its official value.
Add a Foundation Level row with 32 credits as its official value.

Your inventory now shows the overall credit requirement and its first programme level.

Add a Programming Diploma row with 27 credits as its official value.
Add a Data Science Diploma row with 27 credits as its official value.

You should now see both Diploma components as separate evidence rows.

Add a BSc Degree Level row with 28 credits as its official value.
Add a BS Degree Level row with 28 credits as its official value.

The Foundation, Diploma, BSc Degree, and BS Degree levels should now be visible in the Sheet.

Paste the official academics page URL into the Source URL cell for every credential row.
Set every credential row to Official in the Evidence status column.

Good progress. Your credential structure now has a complete source trail instead of standing as an unsupported summary.

Complete the coursework inventory

Course titles support a subject claim when the official curriculum lists them. Your course-selection notes preserve the difference between available evidence and your personal study plan.

Add one row for each mathematics or statistics course with Mathematics and statistics in the Claim column.
Use Mathematics for Data Science I, Mathematics for Data Science II, Statistics for Data Science I, and Statistics for Data Science II as current foundation-course values.
Use Linear Statistical Models, Statistical Computing, Mathematical Thinking, Discrete Mathematics, and Linear Models with Applications as current elective-course values.

You should now see a mathematics and statistics group containing both foundation courses and current electives.

Add one row for each theoretical computer science course with Theoretical computer science in the Claim column.
Use Computational Thinking, Advanced Algorithms, Theory of Computation, and Discrete Mathematics as the course values.

The theoretical computer science group should now show the courses that can support later topic matching.

Add one row for each practical computer science course with Practical computer science in the Claim column.
Use Database Management Systems, Programming, Data Structures and Algorithms using Python, Programming Concepts using Java, Modern Application Development I, Modern Application Development II, and System Commands as Diploma-level course values.

Your practical computer science group should now show programming, algorithms, databases, application development, and system work.

Add Software Engineering, Software Testing, Operating Systems, and Computer Networks to the practical computer science group.
Add one row for each machine learning or artificial intelligence course with Machine learning or artificial intelligence in the Claim column.

The practical group now reaches from foundational programming to degree-level software and systems subjects.

Use Machine Learning Foundations, Machine Learning Techniques, Machine Learning Practice, Tools in Data Science, and Introduction to Deep Learning and Generative AI as current Data Science Diploma course values.
Use AI: Search Methods for Problem Solving and Deep Learning as current degree-level course values.

You should now see a machine learning or artificial intelligence group covering foundational, applied, and degree-level study.

Paste the official academics page URL into the Source URL cell for every coursework row.
Set every coursework row to Official in the Evidence status column.

Every course row should now point back to the current IIT Madras curriculum.

Label each current required course core or mandatory in the Notes column according to its category on the academics page.
Label each current elective in your plan optional in the Notes column.
Label each listed elective outside your current plan not yet selected in the Notes column.

Before you filter, which rows do you expect to remain visible? Hold your answer in mind.

Enable filtering for the populated table in the Degree Evidence tab.
Filter the Evidence status column to Official.

You should still see the exact degree title, the 142 credits requirement, the Foundation, Diploma, BSc Degree, and BS Degree levels, plus all four coursework groups. Every visible evidence row should include the official academics page link.

Missing expected rows?

Check each missing row for the exact Official value in the Evidence status column.
Confirm each expected row contains the current IIT Madras academics page under Source URL.
Ask for help with checking why your filtered evidence rows are missing.

That is your first evidence-based win. Your degree structure and coursework now remain visible as source-linked facts when assumptions are filtered away.

Your IIT Madras evidence inventory now has a source trail. Next, you will test how the institution and degree appear in anabin.

Check Recognition in anabin

Your audit in Google Sheets now shows what IIT Madras awards. The next question is how that institution plus its degree appear in Germany's public recognition database.

An exact record can be absent because anabin does not claim that its public database is complete. This step captures the live evidence without turning an unavailable result into an admissions decision.

In this step, get ready to:

Search anabin for the Indian Institute of Technology Madras.
Check the exact IIT Madras degree title plus its degree type when required.
Preserve each result with its search date plus official source.

Search the institution

Institution recognition shows how anabin classifies the university that awards a qualification. This search gives the degree audit its institutional starting point.

The German menu labels are a little fiddly. Each click is broken out below.

In the Recognition tab from earlier, create the columns Search date, Search type, Exact search term, Displayed result, Source URL, plus Observation.
Open the official anabin search guide in Chrome.
Select Institutionen.
Select Suchen nach Institutionen.
Choose India in the country field.
Enter Indian Institute of Technology Madras as the institution search term.
Open the matching record if one is displayed.
Review the value shown under Status if a record is available.

How Should You Read the Result?

Anabin uses H+ for a state or state-recognized institution. A displayed H+/- means that further criteria apply to qualifications from some countries.

An unavailable record shows only that the public search returned no record. Anabin states that its database does not claim completeness.

✔️ An institution record appears

Return to the Recognition tab in your audit Sheet.
Enter today's date under Search date.
Enter Institutionen under Search type.
Enter Indian Institute of Technology Madras under Exact search term.
Copy the displayed Status value exactly into Displayed result.
Paste the current anabin page address into Source URL.
Write a precise observation describing the record plus its displayed status.

ⓧ No institution record appears

Return to the Recognition tab in your audit Sheet.
Enter today's date under Search date.
Enter Institutionen under Search type.
Enter Indian Institute of Technology Madras under Exact search term.
Enter Not found in public search under Displayed result.
Paste the current anabin search page address into Source URL.
Write a precise observation stating that the search returned no institution record.

Search the degree and degree type

Degree comparability is a separate question from institution recognition. The next search checks whether anabin displays the exact IIT Madras credential.

Switch back to the anabin page from the institution search.
Select Hochschulabschlüsse.
Select Suchen nach Abschlüssen.
Choose India in the country field.
Enter BS Degree in Data Science and Applications as the exact degree search term.
Open the matching record if one is displayed.
Review the value shown under Bewertung if a record is available.

✔️ The exact degree appears

Return to the Recognition tab in your audit Sheet.
Enter today's date under Search date.
Enter Suchen nach Abschlüssen under Search type.
Enter BS Degree in Data Science and Applications under Exact search term.
Copy the displayed Bewertung value exactly into Displayed result.
Paste the current anabin page address into Source URL.
Write a precise observation describing the degree record plus its displayed assessment.

ⓧ The exact degree is absent

Return to the Recognition tab in your audit Sheet.
Complete an exact-degree row with today's date plus the search type Suchen nach Abschlüssen.
Record BS Degree in Data Science and Applications as the exact search term.
Record Not found in public search as the displayed result.
Paste the official exact-degree search page address into Source URL.
Write a precise observation stating that the exact degree search returned no record.
Return to the anabin degree search.
Select Suchen nach Abschlusstypen.

What Does the Fallback Show?

A degree-type assessment can provide an initial indication when the exact credential is absent. Anabin states that it generally does not replace an assessment of the specific degree.

Choose India in the country field.
Enter the degree type represented in BS Degree in Data Science and Applications as your search term.
Open the matching degree-type record if one is displayed.
Review the displayed assessment if a record is available.
Return to the Recognition tab in your audit Sheet.
Add a row with today's date plus the search type Suchen nach Abschlusstypen.
Record the exact degree-type search term you used.
Record the displayed assessment exactly if a result appeared.

Enter Not found in public search if the degree-type search returned no record.
Paste the current official anabin page address into Source URL.
Write a precise observation describing the degree-type search outcome.

Preserve the recognition evidence

Evidence provenance makes each conclusion traceable to its source plus search date. Your notes now preserve what anabin displayed at this point in time.

Confirm that the institution row includes its search date plus exact search term.
Confirm that the exact-degree row includes its displayed result plus official URL.
Confirm that the degree-type row is present when the exact degree was absent.
Confirm that every unavailable result says Not found in public search.

Before you refresh, do you expect every row to retain enough evidence for you to repeat the same search later?

Refresh the spreadsheet page in Chrome.

You should still see the institution row plus the exact-degree row. Each row should retain its date, search term, displayed result, source URL, plus precise observation.

If the exact degree was absent, you should also see a dated degree-type row with its actual search outcome.

Strong work. Your recognition check is now a dated evidence trail that another person can reproduce.

Next, you will test the separate question of academic fit against Saarland University's published subject expectations.

Map Coursework to Saarland Requirements

You handled a subtle recognition check carefully. Your anabin record now separates missing public evidence from rejection.

You will now test programme fit against Saarland University's Data Science and Artificial Intelligence programme. A recognition result cannot confirm whether your coursework covers the programme's subject prerequisites.

In this step, get ready to:

Break Saarland University's published subject expectations into a source-linked matrix.
Match each requirement only to official IIT Madras course evidence.
Keep foreign-qualification equivalence as Unknown without converting IIT Madras credits to ECTS.

Build the requirement matrix

A requirement matrix gives each published topic its own row. This structure keeps the university's requirements separate from your evidence about meeting them.

Switch back to the Germany Master's Eligibility Audit - IITM BS spreadsheet from earlier.
Select the Programme Fit tab.
Open the official Saarland University programme page in another Chrome tab.
Create this header row in row 1: Requirement group | Published topic | Requirement source URL | IIT Madras course evidence | IIT Madras evidence URL | Fit status | Possible action.

How the Four Groups Work

Saarland University groups its expectations into mathematics, theoretical informatics, practical informatics, plus machine learning or artificial intelligence. Each group contains specific topics that your evidence must address.

Add one mathematics row for each topic: discrete mathematics | real analysis and multivariable calculus | linear algebra | numerical methods | stochastics | statistics.
Add one theoretical informatics row for each topic: complexity theory | computability.
Add one practical informatics row for each topic: functional and object-oriented programming | data structures and algorithms | databases.
Add one machine learning or artificial intelligence row for each topic: Machine Learning | Artificial Intelligence | Data Mining.
Copy the Saarland University programme URL into the Requirement source URL cell for every published topic.

Good progress. Your Programme Fit tab now turns a long admissions page into individual requirements you can test.

Match official evidence conservatively

A course title supports a match only when its official wording or documented content addresses the topic. The four status labels show how much confidence the available evidence deserves.

How the Four Labels Work

Covered means official IIT Madras evidence supports the full topic.
Partial means the evidence supports part of the topic.
Missing means your current inventory contains no supporting course evidence.
Unknown means the available official evidence cannot settle the requirement.

Compare each Saarland topic with the source-linked entries in the Degree Evidence tab.
Enter the exact IIT Madras course title in IIT Madras course evidence when the official evidence supports a match.
Copy the corresponding IIT Madras URL into IIT Madras evidence URL for every supported match.

Rows with supporting evidence now show both the named IIT Madras course and its official source. Empty evidence cells remain visible as gaps to investigate.

Assign each topic one status from Covered | Partial | Missing | Unknown.
Add one evidence-building action to every row that is not Covered.

Choose Evidence-Building Actions

Select a relevant elective when a topic is Missing.
Preserve an official syllabus when a course title provides only Partial evidence.
Request a written evaluation when equivalence remains Unknown.

Keep credit equivalence unknown

The IIT Madras programme requires 142 credits. That number remains in its original system until Saarland University or an authorized evaluator confirms equivalence to the required foreign qualification.

Add a row named Foreign qualification equivalence to the matrix.
Enter 142 credits in the IIT Madras course evidence cell for that row.
Set the row's Fit status to Unknown.
Describe a next action that requests written confirmation from Saarland University.
Keep every reference to the 142 credits in its original IIT Madras unit.

Before you filter the matrix, which status do you expect to appear most often?

Use the Fit status column to display only Covered rows.
Check that every visible row names an IIT Madras course.
Check that every visible row contains an official IIT Madras evidence link.

You should see course names beside every visible requirement. You should also see a source link supporting each match.

Restore the complete matrix.
Count the rows carrying each of the four status labels.
Display every row that is not Covered.
Check that every visible row contains a possible action.
Locate the Foreign qualification equivalence row.
Confirm that the equivalence row remains Unknown.
Restore the complete matrix for your checkpoint.

You should now have a count for each status. The equivalence row should show 142 credits in the original unit with an Unknown status.

Need Help Classifying a Row?

Use Unknown when the official evidence cannot support a confident decision.
Use Partial when a course supports only part of the published topic.
Change any unsupported Covered row before taking your screenshot.

Help me classify one Saarland requirement using the official evidence.

That is a defensible programme-fit audit. Next, you will turn its unresolved rows into owned risks and evidence-focused clarification requests.

Create Risks and Clarification Requests

Your Saarland matrix now shows which requirements have official support. It also exposes the gaps that could weaken a confident application decision.

You will turn each gap into an owned follow-up in a risk register in Google Sheets. You will draft two focused clarification requests in Google Docs.

In this step, get ready to:

Turn the unresolved eligibility questions into actionable risks.
Draft a clarification request for Saarland University's course adviser.
Draft an evidence request for the IIT Madras BS Degree Office.

Prioritize the risks

A risk register connects each uncertainty to evidence. It also records who follows up next.

Switch back to the audit Sheet from earlier.
Select the Risk Register tab.
Fill the first row with Risk, Current evidence, Impact, Next action, Owner, and Review date.
Fill the Risk column with separate rows for Institution recognition, Exact-degree comparability, Study mode, Foreign-credit interpretation, Subject coverage, Language evidence, and Application documents.

You should now see six headings across the top. Seven distinct risks should appear beneath the first heading.

What Belongs in Current Evidence?

Institution recognition uses the dated anabin institution result from the Recognition tab.
Exact-degree comparability uses the exact-degree result. Include the degree-type result when that fallback was needed.
Study mode records the evidence currently available. It also names the missing written confirmation about non-campus study.
Foreign-credit interpretation records the official total of 142 IIT Madras credits. Equivalence remains Unknown.
Subject coverage summarizes the Partial, Missing, and Unknown rows from Programme Fit.
Language evidence records Saarland University's C1 English requirement. The programme does not accept an MOI certificate.
Application documents record the personal statement requirement. They also record the two academic letters of recommendation.

Fill every Current evidence cell from the retained source-linked tabs.
Rate each consequence as High, Medium, or Low in the Impact column.

The first four columns should now separate published evidence from unresolved impact. These ratings describe the consequence of an open gap.

Write one evidence-producing follow-up in every Next action cell.
Assign every follow-up to your name or the office responsible for supplying the evidence.

Every row should now show the evidence you need next. Each row should also show who moves it forward.

Enter a specific calendar date in every Review date cell.
Scan across all seven rows to confirm that every cell contains a usable entry.

You should see seven complete rows with evidence, impact, next action, owner, and review date. No rating should claim that admission is likely or guaranteed.

You have made the uncertainty actionable. Every open question now points to a concrete follow-up.

Draft the Saarland request

The first request asks Saarland University to interpret the evidence that public pages cannot settle. A focused message gives the adviser specific questions to answer.

Switch back to the clarification Doc from earlier.
Leave the retained test entry in place.
Add the heading Saarland University Course-Adviser Clarification Request below the test entry.
Add master(at)cs.uni-saarland.de below the heading as the published course-adviser contact.

You should now see a clearly named request section beneath the retained test entry. The published contact should sit directly below its heading.

Write an opening sentence that identifies you as a current student in the BS Degree in Data Science and Applications at IIT Madras. Include the official IIT Madras curriculum in that sentence.
State that the programme requires 142 IIT Madras credits for completion.

Keep the Credit Statement Precise

The official completion requirement is 142 IIT Madras credits. The receiving university decides whether the foreign qualification meets its prior-degree requirement.

Your request asks for that decision in writing. The audit continues to record equivalence as Unknown until an authorized evaluator or university confirms it.

Ask whether this foreign qualification can satisfy the prior-degree requirement for Data Science and Artificial Intelligence (M.Sc.).
Ask whether the non-campus study mode affects eligibility for that requirement.

The middle of your draft should now contain two direct eligibility questions. One covers the foreign qualification. The other covers study mode.

Ask which subject-coverage documents the adviser needs by naming transcripts, module descriptions, and syllabi as examples.
Add the official Saarland programme page beside the programme reference.

Close the request with a polite thank-you plus your preferred signature.
Reread the request to confirm that each question can receive a specific written answer.
Check that the request contains no admission prediction.

You should see a ready-to-send request with the exact degree title, curriculum link, credit total, two eligibility questions, and a subject-documentation question.

Request evidence from IIT Madras

The Saarland request asks the receiving university to interpret your qualification. The IIT Madras request asks your home institution to document it.

Continue in the same Doc below the Saarland request.
Add the heading IIT Madras BS Degree Office Evidence Request.
Add support@study.iitm.ac.in below the heading as the official programme contact.

You should now see a second request section with its own heading. The two audiences remain clearly separated.

Explain that you are preparing evidence for future German master's applications.
Request an official statement of the programme duration.

What This Evidence Unlocks

Foreign admissions teams need documents they can verify independently. Official statements from IIT Madras give them evidence about the programme's structure.

These documents also strengthen later questions about comparability. Your risk register shows exactly which uncertainty each document addresses.

Request details about the official transcript format.
Request the grading scale that applies to your programme.

The request should now cover the basic records used to interpret your academic history. Duration, transcript format, and grading scale should each appear explicitly.

Request official documentation of the study mode.
Request official course descriptions for admissions assessment.

The next part of the draft should now address the two evidence gaps that public course titles cannot fully resolve. These are study mode and documented course content.

Request any available Germany-specific graduate outcomes.
Close the request with your preferred signature.

Foreign-qualification equivalence remains Unknown. Written confirmation about study mode is also pending.

Why the Current Label Is Clarification Required

The audit has official evidence for the degree structure. Two material interpretation questions still need written answers.

The label Clarification required records that evidence state without predicting an admission decision.

End the memo with Clarification required on its own line.
Review the Doc to confirm that it retains the test entry plus both complete requests.

Before you compare the files, which high-impact risks do you expect the two requests to cover?

Drag the audit Sheet tab away from the Chrome tab bar to place it in a separate window.
Position the Sheet window on the left side of your screen.
Position the clarification Doc window on the right side of your screen.
Identify every row rated High in the Risk Register tab.
Match each high-impact row to a direct question in one of the two requests.
Confirm that the IIT Madras curriculum link appears in the Saarland request.
Confirm that the Saarland programme link appears beside the programme reference.

The Risk Register tab should show separate completed rows for institution recognition, exact-degree comparability, study mode, foreign-credit interpretation, subject coverage, language evidence, and application documents.

The Doc should retain its test entry. It should also contain two ready-to-send requests plus the final Clarification required label.

That is the decision-making core complete. Your reusable audit pack now directs real admissions follow-up with evidence.

Secret mission

Add the Mannheim Quantitative Test

Test your IIT Madras BS against Mannheim's numeric degree, subject-credit, grade, and GRE rules. You will expose the conversion gap while preserving the 142 IIT Madras credits in their original unit.

Clean Up Your Resources

Your audit pack stays in Google Drive with no ongoing project cost because this project submitted no paid application or evaluation. Choose whether to keep the files, pause your research, or move both files to the bin.

Resources you used:

The Google Sheets file Germany Master's Eligibility Audit - IITM BS.
The Google Docs file German Admissions Clarification Requests - IITM BS.

Keep everything running

No action needed. Choose this if you want to keep using the audit pack as your IIT Madras coursework develops.

Retain Germany Master's Eligibility Audit - IITM BS in Google Drive.
Retain German Admissions Clarification Requests - IITM BS in Google Drive.
Review the official university requirements every six months.
Update the recorded search date after each review.

Pause - I'll come back to this later

There are no running processes to shut down. Both files remain available when you are ready to continue your research.

Leave both files in Google Drive.
Return to the audit pack when you choose future IIT Madras electives.
Return to the audit pack when you receive an official admissions reply.

Delete - I don't want to use this again

Moving both files to the bin can feel final. They leave your working Google Drive view, so use this option when you no longer need the audit pack.

Find Germany Master's Eligibility Audit - IITM BS in Google Drive.
Right-click Germany Master's Eligibility Audit - IITM BS.
Choose the option that moves the spreadsheet to Google Drive's bin.
Find German Admissions Clarification Requests - IITM BS in Google Drive.
Right-click German Admissions Clarification Requests - IITM BS.
Choose the option that moves the document to Google Drive's bin.
Open Google Drive's bin to confirm that both files are listed there.

Nice Work!

You did it! Your reusable German Master's Eligibility Audit Pack turns admissions uncertainty into documented evidence plus clear next actions.

You've learned how to:

Built a source-linked degree evidence inventory covering the IIT Madras BS credential structure plus relevant coursework.
Created a dated anabin recognition record for each institution search plus each degree search. Missing public records remain evidence gaps instead of rejection claims.
Produced a Saarland programme-fit matrix based on published subject expectations. Converted unresolved gaps into owned next actions through the Risk Register plus two ready-to-send clarification requests.
Secret Mission: Applied a Mannheim quantitative test to a second programme comparison. Flagged the highest-risk requirement without relabelling 142 IIT Madras credits as ECTS.

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