"Computer Science" is the single most-applied-to field for Indian students going to Germany, and it's also the field where the label is doing the least work. Search "MSc Computer Science Germany" and you'll land on programmes that could not be more different in practice: one trains you to work alongside researchers at institutes like Max Planck, the other trains you to be shipping enterprise software at a company like Deutsche Telekom within eighteen months of enrolling. Both are legitimately called "Computer Science." Picking between them by ranking, or by which one a relative mentioned, is how strong applicants end up in the wrong programme — overqualified and restless in one, underprepared and drowning in proofs in the other.
💡 Not sure whether your CGPA and background fit the research track or the IT/professional track? Ask Ankit on WhatsApp for a free profile read before you commit to an application strategy.
Last reviewed: 9 July 2026. CGPA cutoffs, IELTS minimums, language requirements, tuition figures, and EU Blue Card salary thresholds below reflect each university's own published admissions and language-requirement pages (cross-checked directly against TUM's and RWTH's official sites) plus Germany's 2026 Blue Card thresholds — these shift annually, so confirm the current figure directly with the university before you apply.
Germany's Master's-level CS landscape splits into two structurally different products, and the split matters more here than in almost any other field we cover, because both sides genuinely use "Computer Science" — or a close variant — in the programme title.
The research track is the CS degree most people picture: heavy on theory, built around algorithms, formal methods, and distributed systems, taught at research universities (Technische Universitäten and research-focused Universitäten) with active labs, and aimed at students who want to go deep into a specific technical problem — the kind of degree that leads naturally into a PhD or a specialised R&D role. Our MSc Computer Science programme guide covers this track's universities, deadlines, and eligibility in full.
The IT/professional track looks similar on paper — a two-year, English-taught MSc — but is built around applied, industry-facing modules: software engineering, cloud architecture, enterprise IT, project and product management. It's taught mostly at Fachhochschulen (universities of applied sciences) and at a handful of universities running a dedicated "IT" or "Software Engineering" specialisation, and it's aimed at students who want to be productive in industry roles quickly — including candidates coming in with prior IT work experience. Our MSc Computer Science & IT programme guide covers this track separately, because the universities, admission bar, and ideal candidate profile are genuinely different from the research track above.
Neither track is "the real CS degree" with the other as a lesser version. They're built for different outcomes. The mistake — and we see this constantly — isn't picking one, it's not realising there are two, and applying to a Fachhochschule IT programme with a research-obsessed SOP, or applying to a theory-heavy research university with a CV built entirely around shipped enterprise projects and no stated research question.
| Research track | IT/professional track | |
|---|---|---|
| Core modules | Algorithms & complexity, formal methods, distributed systems, theoretical foundations, a research seminar | Software engineering, cloud/enterprise architecture, IT service management, project & product management |
| Thesis format | Research thesis tied to a lab's ongoing work, often co-supervised by a professor active in that subfield | Applied, industry-facing thesis — sometimes completed in partnership with a company |
| Typical workload shape | Fewer, deeper modules; more independent reading and proof-based coursework | More structured, project-based modules; group work and case studies |
| Usually taught at | Technische Universitäten and research-focused Universitäten (RWTH Aachen, TU Munich, Saarland, TU Berlin, TU Darmstadt, TU Dresden, KIT) | Fachhochschulen (Hochschule Furtwangen, Hochschule Mannheim) and dedicated IT/Software Engineering specialisations at some technical universities |
| Natural next step | PhD, research assistant (Wissenschaftlicher Mitarbeiter) role, specialised R&D or ML role | Direct industry entry, IT consulting, enterprise software, product roles |
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A caution before you take this table as gospel: exact module names vary by university and cohort, and Germany doesn't standardise CS curricula the way a national body might. Always check the specific programme's module handbook (Modulhandbuch) before assuming a given course sits cleanly in one column — the table above is the general shape a track tends to take, not a guarantee for any single programme you're considering.
The CGPA bar is the most visible difference. Research-track programmes at RWTH Aachen, Saarland, and similar universities publish a minimum around 65% aggregate or 7.5/10 CGPA, and in practice profiles below 7.0 face a genuinely harder path — the field is competitive enough that admissions committees can afford to be selective on core module performance specifically (algorithms, data structures, operating systems), not just your overall average. A transcript with strong electives but a mediocre grade in Data Structures reads worse to a research-track committee than the overall CGPA suggests. Most research-track guidance also tolerates a maximum of one to two active backlogs — more than that, and the core-module scrutiny above works against you directly.
The IT/professional track is meaningfully more forgiving on paper: Fachhochschule programmes are commonly accessible from around 6.5+/10 CGPA, and the accepted-background list is broader by design — Computer Science, IT, Software Engineering, Information Systems, or Electronics degrees are all explicitly eligible, at 60%+ aggregate, at several FH programmes. Professional IT experience (one to three years) is treated as a genuine strength here rather than a neutral fact on your CV, provided your SOP frames it as a motivation for the specific modules you're choosing rather than a summary of client work delivered.
Two edge cases worth knowing before you assume either bar applies cleanly to you:
The 3-year-degree question. German Bachelor's degrees typically run three years (180 ECTS) built on a longer pre-university schooling track than India's. A 4-year Indian B.Tech/B.E. is broadly treated as equivalent for Master's entry. A 3-year Indian Bachelor's — BCA, BSc, or similar — is not automatically excluded, but some universities' admissions offices assess subject-credit equivalence differently for a 3-year degree than a 4-year one, and the exact policy varies by university and by year; this is not a blanket rule you can assume either way. If your undergraduate degree is a 3-year BCA rather than a 4-year B.Tech, get the specific programme's equivalence requirement checked early — through uni-assist's VPD (Vorprüfungsdokumentation) or the university's own admissions office — rather than assuming your CGPA alone determines eligibility. A subject-credit shortfall is a different problem than a low CGPA, and it surfaces late if you don't check for it upfront. Our Uni-Assist guide for Indian students walks through how the VPD check actually works.
The borderline IELTS score. Research-track programmes generally sit in the IELTS 6.5–7.0 range, but check the specific programme's own language page before assuming the higher end applies to you — it's a common overestimate. TU Munich's official minimum for its Informatics Master's is IELTS 6.5 (per TUM's own admissions requirements page), not 7.0 as some applicants assume from general reputation, and most IT-track programmes also sit at 6.5, with some Fachhochschule programmes accepting 6.0 alongside relevant work experience. If you're sitting at 6.0–6.3 with a strong CGPA and profile otherwise, the honest calculus is: a retake is usually the higher-expected-value move for a research-track application where a specific target university's published minimum genuinely gates you, but for an IT-track FH application with 2+ years of relevant work experience, it's worth checking the specific programme's language page before spending another test cycle on a score that may not be the actual blocker. Our IELTS score guide by programme type breaks this down further, and TOEFL iBT 90+ is accepted as an alternative at both tracks if that's a faster path for you.
RWTH Aachen, TU Munich (TUM), and Saarland University anchor the research-track end. Saarland's campus hosts the DFKI (German Research Centre for Artificial Intelligence) alongside the Max Planck Institute for Informatics and the Max Planck Institute for Software Systems — genuinely one of the strongest CS research clusters in Europe, and it runs a fully English-taught programme. TUM leans on deep industry-research partnerships with companies like Siemens, BMW, and Microsoft Research, though its non-EU tuition (roughly €4,000–€6,000/semester, varying by programme) is notably higher than most public German universities, which are tuition-free. RWTH Aachen has one of Europe's strongest algorithms and formal-methods faculties — but unlike Saarland's programme, its flagship degree isn't English-only; see the language note below before assuming which RWTH programme fits your profile.
This is worth flagging by name, because it's an easy assumption to get wrong. RWTH Aachen alone runs at least three separately branded CS-adjacent Master's programmes, and they don't share a language requirement. The programme literally named Computer Science M.Sc. (Informatik) is bilingual — RWTH's own programme page lists the language as "German and English" and requires proof of both — though admission itself has no numerus clausus (it's open, not CGPA-cutoff-gated the way this article's CGPA discussion elsewhere might imply). If you don't already have German, the programmes to target instead are RWTH's separately named Data Science M.Sc. and Software Systems Engineering M.Sc., both confirmed English-only with no German language proficiency required. An applicant who assumes "RWTH Computer Science" is English-taught because RWTH shows up on general English-taught-university lists elsewhere online is exactly who gets blindsided by this at the language-certificate stage. Always open the specific programme's own language-requirement page — not the university's general reputation — before applying. It's also a useful reminder that the research/IT-track split this article describes can recur inside a single university's CS department by programme name, not just across universities.
Hochschule Furtwangen (HFU) and Hochschule Mannheim anchor the IT/professional-track end — both Fachhochschulen in Baden-Württemberg, which means both charge roughly €1,500/semester for non-EU students (Baden-Württemberg is the one German state that reintroduced non-EU tuition in 2017; budget for this specifically if either is on your list). HAW Hamburg is also worth knowing by name here: its curriculum is built around applied IT architecture and enterprise software rather than theoretical computer science, and it places graduates directly into companies like Deutsche Telekom, Accenture Germany, and T-Systems.
Here's the detail that surprises most applicants once they compare university lists side by side: TU Berlin, TU Dresden, Saarland, TU Darmstadt, and RWTH Aachen all show up on both tracks' university lists. That's not an error — it means these universities run programmes, or specialisations within a single CS department, that can be read either way depending on the exact track or elective path you enrol in. The "track" is often a specialisation choice within a university's CS offering, not strictly a different university you have to pick between. KIT and Stuttgart, by contrast, appear only on the research-track side, and both charge around €1,500/semester for non-EU students despite the research-heavy focus. Beyond this list, other technical universities and Hochschulen — RPTU Kaiserslautern-Landau among them — run their own CS and IT programmes, and the same research-versus-professional split shows up there too; read the specific programme's module handbook rather than assuming a track from the university's general reputation alone.
💡 Weighing RWTH or Saarland's research track against an FH's IT track? Get a shortlist built around your actual CGPA and background on WhatsApp — it takes ten minutes to tell you which tier is realistic this cycle.
Both tracks land in the same entry-level salary band — roughly €48,000–€68,000/year in Germany — but the kind of role differs, and so does the ceiling if you want to go further. Worth being upfront about: landing that first offer, on either track, is a genuinely tighter fight right now than the salary band alone suggests — entry-level tech hiring in Germany has cooled, and recent CS graduates openly describe a real gap between finishing the degree and getting hired. The numbers below describe the outcome once you land a role, not a guarantee of how fast the first offer arrives.
Research track graduates head toward specialised, deep-tech roles: internal ML platform teams, autonomous-systems groups, and R&D functions at companies like Zalando, Delivery Hero, Auto1 Group, Airbus, and Google's Munich office. A genuine minority go on to a PhD or a research-assistant (Wissenschaftlicher Mitarbeiter) position — most research-track graduates still take an industry job, but the profile they build (proof-based coursework, a research-adjacent thesis, possibly a publication) is what keeps the PhD or deep-R&D door open as a realistic option, not just a theoretical one. The standard, well-documented way research-track students actually build that profile is a HiWi (wissenschaftliche Hilfskraft, student research assistant) position with a professor's lab — and the timing matters: apply for one early, ideally in semester 1 or 2, rather than treating the thesis alone as your profile-builder. Professors are far more willing to take on a HiWi with no track record yet than to supervise a thesis student who's never worked in the lab. If you're aiming to specialise further into a named technical subfield after your Master's, our guides to computer vision careers in Germany and cybersecurity careers in Germany cover two of the more common specialisation paths research-track graduates move into.
IT/professional track graduates head toward enterprise software, IT consulting, and product roles — Accenture Germany, Capgemini Germany, T-Systems, KPMG Germany, and Schwarz Group (Lidl/Kaufland's parent company) are recurring employers, and time-to-first-offer tends to be faster because the coursework and thesis are already aligned with what these employers hire for. SAP, Siemens, Bosch, Deutsche Telekom, and BMW hire meaningfully from both tracks — the difference shows up inside the company, where research-track graduates tend to land in an internal research or deep-tech group and IT-track graduates land in delivery, consulting, or enterprise-software teams.
The post-study mechanics are identical either way: the 18-month job-seeker residence permit (§20 AufenthG) applies regardless of track, and the EU Blue Card route is available to graduates of both, provided you secure a qualifying job offer meeting the salary threshold and your degree is formally recognised — a degree alone doesn't qualify. In 2026, the standard threshold sits around €50,700/year, with a reduced threshold of roughly €45,934/year for shortage occupations. For a fresh CS Master's graduate on either track, there's a cleaner route than trying to confirm your specific job title counts as a shortage occupation: the Blue Card's "recent graduate" carve-out gives you that same reduced threshold automatically if you apply within three years of your most recent academic qualification — which covers almost every new Master's graduate by definition, regardless of what your job title is officially classified as. The Blue Card can lead to permanent residence in 21 months with B1 German, subject to all conditions being met.
Everything above about IELTS and language certificates is about getting into the programme. It's a separate question from what happens once you graduate and start applying for jobs, and it's the part most guides — including, until now, this one — skip. A recurring, blunt theme in student and graduate discussion online is that even with a fully English-taught Master's, you're commonly expected to be conversant in German, at least at a working level, to actually get hired into German IT roles. This bites IT-track graduates harder than research-track ones, because IT-track career paths lean toward client-facing enterprise and consulting employers — Capgemini, T-Systems, KPMG — where German is often a client-communication requirement, not just internal-culture preference. Research-track roles on R&D-heavy, internationally staffed teams tend to be more English-tolerant, though not universally so — always check the specific team, not just the company. The practical implication: if you're choosing the IT/professional track specifically because you want to work in Germany afterward, treat German study (aiming for at least B1, ideally B2, by graduation) as part of your Master's plan from day one, not something to pick up "if there's time."
This is the edge case nobody walks you through before you apply, and it's worth thinking about before you commit, not after.
A formal switch — leaving an IT-track FH programme to join a research-track university programme, or the reverse — is, in practice, closer to a fresh application than a transfer. German universities don't run a standardised cross-university credit-transfer process; whether any of your completed modules count toward the new programme is decided case by case by the receiving programme's exam office (Prüfungsausschuss), and it's not guaranteed even when the module content looks similar on paper. In the more forgiving cases we've seen, a switch still costs a semester of lost time; in less forgiving ones, it costs an entire admissions cycle, because you're effectively reapplying from scratch with a new SOP and, sometimes, a fresh APS-adjacent document check.
There's a cheaper lever worth checking first: many single "Computer Science" programmes — the ones not badged separately as "IT" or forced into a rigid track — let you lean the degree toward theory or toward industry through elective choice, project topics, and thesis direction, without a formal track switch at all. This is part of why the university-overlap pattern in the section above matters: if you're enrolled at one of the universities that runs both flavours internally, check the module handbook before assuming a full external switch is your only option.
The risk isn't symmetric, either. Going from research track into industry is the easier direction — most research-track graduates take an industry job anyway, so pivoting away from research mid-programme mostly means adjusting your thesis topic and job search, not restarting anything. Going from IT track into a serious research career or a PhD is harder: an IT-track thesis and coursework rarely build the proof-based, publication-oriented profile a PhD committee or a Wissenschaftliche Hilfskraft (research assistant) posting expects. A student who realises mid-way that they want a research career typically needs to actively add research exposure — a HiWi (wissenschaftliche Hilfskraft, student research assistant) position with a professor sought out as early as possible rather than left until the thesis, a strongly theoretical elective sequence, a research-oriented thesis topic even within an IT-track programme where the module handbook allows it — and in some cases pursue a second, more theoretical Master's before a PhD application becomes competitive. The practical takeaway: decide before you apply. Undoing the choice costs real time, not a form to fill out.
One term worth knowing before this section, because it's the actual vocabulary German admissions offices use, not just this article's framing: a konsekutiver Studiengang (consecutive degree programme) is a Master's formally expected to build on the subject area of your Bachelor's, not just any Bachelor's. This is the real mechanism behind why a field switch — ECE into CS, BCA into a theory-heavy programme — gets extra scrutiny: admissions offices are formally checking subject-area consecutiveness, not just eyeballing your CGPA. It's worth recognising the term when you're reading a university's own admissions page, since that's the phrase they'll actually use.
B.Tech/B.E. in Computer Science. The closest natural fit for the research track if your CGPA sits at 7.5+ and you have some evidence of independent technical work — a solid final-year project, a GitHub repository that's more than coursework, ideally something research-adjacent. This background is also fully eligible for the IT track, so for most B.Tech CS applicants, the choice between tracks is genuinely about career goal, not eligibility — you qualify for both.
BCA (3-year). A closer default fit for the IT/professional track. BCA curricula tend to be practical and programming-heavy with less depth in algorithms, theory of computation, and formal methods than a research-track committee expects, and the 3-year-degree equivalence question above adds a second hurdle specifically for research-track programmes' stricter subject-credit scrutiny. A BCA candidate who genuinely wants the research track needs to actively build a theory-heavy portfolio before applying — a serious algorithms/CS-theory course beyond what the BCA syllabus covers, a project that goes past a standard CRUD application, and an SOP that directly addresses the CGPA and subject-depth gap rather than hoping the committee won't notice it.
BSc/B.Tech Information Technology. Similar positioning to BCA — a strong, natural fit for the IT track, and it needs the same kind of supplementing (theory coursework, a more analytical final project) if the goal is the research track instead.
ECE/Electronics. Explicitly eligible for the IT-professional track under its own stated admissions criteria (Electronics is named alongside CS, IT, Software Engineering, and Information Systems). Fit still depends heavily on how much of your ECE coursework was software- or CS-adjacent — a background heavy in DSP and embedded programming reads very differently to an admissions committee than a background heavy in VLSI and analog circuit design with minimal coding. Research-track CS programmes are pickier here: an ECE applicant aiming for RWTH, Saarland, or TUM's research track needs to demonstrate CS depth — data structures, algorithms, systems coursework, or credible self-study — that a hardware-focused transcript doesn't prove on its own. If your core interest is genuinely closer to embedded systems or hardware-software co-design rather than pure CS, it's also worth comparing against Germany's dedicated electrical engineering and robotics-focused Master's programmes rather than forcing a pure-CS application that fights your transcript.
A field switch or a multi-year study gap, on either track, needs to be addressed head-on in the SOP rather than left for the committee to guess at. For the IT track, a multi-year gap filled with relevant IT work is a genuine strength if you frame it as motivation for specific modules, not a CV summary. For the research track, a gap is more neutral-to-negative unless you can show recent, credible technical evidence from that period — a completed advanced course, a research-adjacent side project, anything that demonstrates the theoretical muscle hasn't atrophied.
Profile A: B.Tech Computer Science, 8.2 CGPA from a tier-2 engineering college, IELTS 6.5, one strong final-year machine learning project on GitHub, no publications, no professional work experience, genuinely wants to keep a PhD or research-lab role open as an option. This is a research-track profile. The realistic move is applying to Saarland, TU Darmstadt, and TU Dresden as core targets, with a specific lab or professor named in the SOP and a concrete research question — not a five-paragraph project summary. TUM is worth treating as a reach given its higher non-EU tuition and selectivity, and keeping one Fachhochschule IT-track programme as a genuine safety option is sound tiering, not an admission of weakness — reach/match/safety logic applies to strong research-track profiles too.
Profile B: BCA graduate, 7.0 CGPA, two years as a backend developer at TCS (Java/Spring), IELTS 6.5, no research background, wants a stable enterprise or product role in Germany within roughly two years, not a PhD. This is an IT-professional-track profile. HFU or Hochschule Mannheim (budget for the ~€1,500/semester Baden-Württemberg non-EU tuition), or a general CS & IT specialisation at TU Berlin or TU Dresden, are realistic targets. The SOP should build around a specific technical problem from the TCS work — a scalability issue hit in production, a data-modelling decision that didn't scale — not a list of technologies used. RWTH or TUM's core research-track programme is a low-probability reach for this profile this cycle; spending a limited SOP-writing cycle there instead of on a genuinely competitive target is the mistake to avoid, not the CGPA itself.
Profile C: ECE background, 6.8 CGPA, one active backlog, genuinely unsure of the goal yet. With a CGPA sitting right at or below the FH-accessible 6.5+ floor and the ECE-to-CS subject-credit question unresolved, the first move isn't writing an SOP — it's getting a uni-assist or anabin equivalence check done, and building a realistic target list weighted toward Fachhochschule IT/CS programmes that explicitly list Electronics as an accepted background. RWTH, TUM, and Saarland's research track are a poor match for this profile this cycle regardless of eventual goal; the backlog and mid-range CGPA make that clear before career direction even enters the decision.
What's the real difference between MSc Computer Science and MSc Computer Science & IT in Germany? The research-track MSc Computer Science is theory-heavy — algorithms, formal methods, distributed systems — taught mainly at research universities and aimed at students who may pursue a PhD or a specialised R&D role. The IT/professional-track MSc Computer Science & IT is applied and industry-facing — software engineering, cloud, enterprise IT — taught mainly at Fachhochschulen and aimed at faster entry into industry roles. Both are legitimate, recognised German degrees; they're built for different outcomes.
Is the IT/professional track a "lower-tier" degree compared to the research track? No — it's a different product, not a lesser one. A research university trains researchers; a Fachhochschule trains practitioners who ship production software. Employers like SAP, Siemens, and Deutsche Telekom hire meaningfully from both, just into different kinds of roles inside the company. Even inside the research track, graduates are candid that the badges applicants chase don't work the way people assume: a recurring theme among students at Germany's TU9 alliance (its nine leading technical universities, including RWTH Aachen and TU Munich) is that the real advantage of that label is funding and resource access — more lab budget, more supported projects — not a categorical quality gap over non-TU9 universities. The research/IT split works the same way: different resourcing and focus, not a hierarchy.
What CGPA do I need for RWTH Aachen, TU Munich, or Saarland's CS research track? Published minimums sit around 65% aggregate or 7.5/10 CGPA, but the field is competitive enough that profiles below 7.0 face a genuinely harder path, and admissions committees scrutinise core module grades (algorithms, data structures, operating systems) more closely than your overall average.
Can a BCA graduate apply to a research-track CS Master's in Germany? Yes, but it's not the natural default fit — BCA curricula tend to be lighter on theory than a research-track committee expects, and the 3-year-degree equivalence question (below) adds a second consideration. A BCA applicant aiming for the research track needs to actively build a theory-heavy portfolio and address the gap directly in the SOP, rather than applying with an unmodified BCA transcript and hoping it reads as equivalent to a 4-year B.Tech.
Does a 3-year Indian Bachelor's degree cause problems for CS Master's admission? It can, depending on the specific university — some admissions offices assess subject-credit equivalence differently for a 3-year Indian degree (BCA, BSc) than for a 4-year B.Tech/B.E., and the exact policy varies by university and year. This is not a blanket rule, so get the specific programme's equivalence requirement checked via uni-assist's VPD process or the university's admissions office before assuming your CGPA alone determines eligibility.
Can I switch from the IT track to the research track (or vice versa) after I start? Not as a simple transfer. It's closer to a fresh application, with module-credit recognition decided case by case by the receiving programme's exam office and not guaranteed. A cheaper first step is checking whether your current programme lets you lean the degree toward theory or industry through elective and thesis choice, without a formal switch at all.
Does the EU Blue Card work differently for the two tracks? No — the mechanics are identical. You need a qualifying job offer meeting the salary threshold (€50,700/year standard, or a reduced ~€45,934/year for shortage occupations, in 2026) and a formally recognised degree; the track your degree came from doesn't change the requirement. Fresh graduates from either track also qualify for that reduced threshold automatically under the Blue Card's "recent graduate" carve-out, if applying within three years of their most recent qualification — a more reliable route than confirming your job title counts as a shortage occupation.
Which track leads to a PhD in Germany? The research track, in practice. A PhD or a Wissenschaftlicher Mitarbeiter research-assistant role expects proof-based coursework and typically a research-oriented thesis — an IT-track programme's coursework and thesis format rarely build that profile, even though a switch isn't impossible with deliberate extra work.
Is ECE/Electronics a valid background for a German CS Master's? Yes, explicitly for the IT/professional track, which lists Electronics alongside CS, IT, Software Engineering, and Information Systems as an accepted background. For the research track, fit depends on how much of your ECE coursework was software- or CS-adjacent — a DSP/embedded-programming-heavy transcript is a stronger fit than a VLSI/analog-heavy one.
Should my SOP be different for the two tracks? Yes, substantially. A research-track SOP should name a specific lab or professor and pose a concrete research question — not summarise your projects. An IT-track SOP should build around a specific technical problem from your coursework or work experience and connect it to the programme's applied modules — not read as a CV in paragraph form.
Choosing between a research-track CS Master's and an IT/professional-track one isn't a decision a ranking table can make for you — it depends on your CGPA, your background's subject depth, and the career outcome you actually want five years from now. Ankit has personally guided 500+ Indian students through German university applications, including this exact track-fit conversation.
For the detailed, university-by-university breakdown — exact fees, deadlines, and eligibility for each track — see the two programme guides linked above. If you're still mapping out the wider application process, our step-by-step guide to applying to a German university from India and our complete APS guide cover the parts of the process that apply to both tracks equally, and our CGPA-to-German-GPA conversion guide is worth reading before you assume how your transcript will be read. For deadlines across both tracks, check our German university application deadlines guide, and if a lower IELTS score is part of your calculation, our English-taught Master's programmes guide is a useful next read.
If you want that same track-fit conversation applied to your specific CGPA and background, the Mentor Pack (₹29,999 / 6 months) includes unlimited application-strategy Q&A, two rounds of SOP review, and shortlist review across both tracks — backed by a 7-day money-back guarantee, no questions asked.
💡 Ready to find out whether the research track or the IT track actually fits your profile? Message Ankit on WhatsApp for a free, honest read on where you stand — no obligation, no upsell if the answer is "apply yourself."
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