Nomination deadline for companies is 28 February 2026 — IISc M.Tech Without GATE: Online M.Tech for Working Professionals (AI, DS, ECE)
IISc M.Tech Without GATE is available as an online M.Tech delivered by the IISc Centre for Continuing Education for working professionals. You must be nominated by your employer; direct applications are not allowed. The programme runs part‑time with online classes so you can continue your job while earning an IISc degree.
Quick overview: What is IISc M.Tech Without GATE?
This Online M.Tech is a formal postgraduate degree run by the IISc Centre for Continuing Education for working professionals M.Tech candidates. It is aimed at engineers already in jobs who want a recognised M.Tech without the GATE route.
Specialisations offered: Artificial Intelligence (AI), Data Science and Business Analytics (DS & BA), and Electronics and Communication Engineering (ECE). The delivery is online classes plus projects and periodic assessments.
Key programme numbers you should note: retention ratio 91% , completion rate 74% within 2.5 years , 368 active students and about 260 graduates to date. These show strong continuation and decent completion in the cohort.
Why choose IISc M.Tech Without GATE instead of a traditional M.Tech?
You keep your job. The online format and flexible pacing make it a top option if you need to work while you study. The IISc brand and a curriculum that mixes theory with industry projects add credibility.
Compared with a campus M.Tech that needs GATE, this route removes the GATE exam barrier for nominated professionals and trades intensive on‑campus residency for flexible online classes. Costs and timelines differ — the online route charges fees per credit and spreads payment across terms.
Quick comparison: IISc Online M.Tech vs traditional on-campus M.Tech
| Feature | IISc Online M.Tech (working professionals) | Traditional M.Tech (GATE) |
|---|---|---|
| Entry route | Company nomination required (IISc MoU partners) | GATE score + institute selection |
| Study mode | Online classes, projects, part‑time pacing | Full‑time on campus |
| Flexibility | High — 2–3 years typical, paceable | Fixed 2 years (usually) |
| Cost | Fees charged per credit; total ~₹8.9–9.6 lakh by specialisation | Varies widely; many subsidised for regular students |
| Work during study | Allowed/expected | Usually not possible |
Use this comparison to decide if you need flexibility and employer sponsorship or a full‑time campus experience.
Eligibility: Do you qualify for each specialisation?
Eligibility rules change by specialisation. Your employer will check these before nominating you.
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Artificial Intelligence (AI M.Tech IISc): BE/BTech/BS (4 years) in CS, ECE, EE or related fields with minimum 70% marks or equivalent. Strong mathematics and programming skills are required. Minimum 2 years work experience at the time of joining.
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Data Science & Business Analytics (Data Science M.Tech IISc): BE/BTech/BS (4 years) or a Master’s in any discipline. Minimum 60% marks or equivalent. Strong maths and programming knowledge is expected. Minimum 2 years work experience.
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Electronics & Communication Engineering (ECE M.Tech IISc): BE/BTech/BS (4 years) in a relevant field. Typical cutoff around 60–70% marks. Basic core electronics knowledge required. Minimum 2 years work experience.
Common requirement across all tracks: company nomination required and the employer must be an IISc MoU partner. If you have foreign degrees or unusual transcripts, your HR or IISc CCE will need to verify equivalence — ask early.
Admission process explained step-by-step
The admission route is structured and employer‑driven. You cannot apply on your own.
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Company nomination — Your employer must be an authorised partner (IISc MoU partners) and nominate you. The nomination deadline for companies is 28 February 2026 .
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Company submits nomination — HR sends the nomination before the deadline. Only nominated candidates appear on the IISc shortlists.
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Candidate application — The application portal opens on 16 March 2026 and closes on 1 April 2026 . After nomination, you must complete the online application with academic records and experience details.
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Test invitation & online test — IISc sends test invitations on 17 April 2026 . The online test window is 2–3 May 2026 . The test score is a major selection component.
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Shortlist & company selection — IISc shares the shortlist with companies on 20 May 2026 ; final selection by companies is on 30 May 2026 .
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Admission offer & fee payment — IISc issues the admission offer on 12 June 2026 . Fee payment deadline is 14 July 2026 to confirm your seat. Classes start on 1 August 2026 .
Important admission dates you must track (2026)
| Event | Date |
|---|---|
| Nomination deadline for companies | 28 February 2026 |
| Application portal opens | 16 March 2026 |
| Application portal closes | 1 April 2026 |
| Test invitation to candidates | 17 April 2026 |
| Online test dates | 2–3 May 2026 |
| Shortlist shared with companies | 20 May 2026 |
| Final selection from companies | 30 May 2026 |
| Admission offer by IISc | 12 June 2026 |
| Fee payment deadline | 14 July 2026 |
| Start of classes | 1 August 2026 |
Mark these in your calendar and push HR to act before the nomination deadline.
Selection criteria and what the online test evaluates
Selection weighs multiple things: your online test score, academic record, work experience, and the company nomination. The sponsoring employer participates in the final decision.
The online test focuses on fundamentals relevant to your specialisation. Expect questions on: programming, discrete and continuous mathematics, probability and statistics, linear algebra, and core subject basics (electronics for ECE). The format is online proctored and timed.
Preparation tips: - For AI M.Tech IISc and Data Science M.Tech IISc, sharpen linear algebra, probability, statistics, programming (Python/algorithms) and basic ML concepts. - For ECE M.Tech IISc, review signals and systems, digital electronics, communication basics, and embedded systems fundamentals. - Practice sample papers under timed conditions and revise fundamentals rather than advanced research topics.
Fee structure and payment basics
Total programme fees vary by specialisation and are estimated as follows. Fees are charged per credit; the institute publishes totals by specialisation for a typical completion plan.
| Specialisation | Total estimated fee |
|---|---|
| Artificial Intelligence (AI) | Rs 9,60,000 |
| Data Science & Business Analytics (DS & BA) | Rs 8,90,000 |
| Electronics & Communication Engineering (ECE) | Rs 9,60,000 |
Important notes on programme fees and fee per credit: - The programme charges fees per credit and you pay across terms as you register for credits. The exact per‑credit rate and instalment schedule are not publicly detailed and should be requested from IISc Centre for Continuing Education. This is a documented coverage gap. - Employers often sponsor or reimburse fees. If your company pays, confirm their reimbursement timeline so you do not miss the fee payment deadline (14 July 2026) . - Keep scanned copies of invoices and payment receipts. Ask HR if the company has a standard sponsorship agreement with IISc.
Programme duration, pacing and completion statistics
The online M.Tech is designed to be flexible. Typical completion times range from 2 to 3 years depending on how many credits you take each term. The programme shows a retention ratio of 91% and a completion rate of 74% within 2.5 years . There are 368 active students and around 260 graduates so far.
What those numbers mean for you: most students stay in the programme and roughly three out of four finish within two and a half years. Expect to balance work, assignments and a major industry project alongside regular assessments.
What you’ll study: curriculum highlights and learning format
Delivery mode: online lectures, recorded sessions, live tutorials, assignments, lab exercises (where applicable), and a significant industry‑linked project. Assessments are term examinations, project evaluations and continuous assessment.
High‑level course topics by specialisation: - AI M.Tech IISc: foundations in machine learning, deep learning, optimisation, probabilistic modelling, ethics of AI, plus project work. - Data Science & Business Analytics: statistics, data engineering, machine learning pipelines, business analytics, visualisation and applied projects. - ECE M.Tech IISc: digital communications, VLSI/embedded systems modules, signal processing, RF basics and lab or simulation projects.
Coverage gap: the exact credit‑wise syllabus and detailed course list per specialisation are not published in full here. Ask IISc Centre for Continuing Education or your company contact for the detailed course brochure and credit breakdown.
Career impact: outcomes, placements and employer partnerships
This degree helps you upskill for higher technical roles, lead data/AI projects, or shift into specialised engineering teams. Because companies nominate and often sponsor learners, many alumni use this M.Tech to secure promotions or internal role changes.
Employer partnerships: companies that partner with IISc (IISc MoU partners) nominate candidates. Ask your HR for the official partner list if they plan to nominate you.
Coverage gap: the programme does not publish a standard placement report like campus full‑time degrees. If you care about placement statistics or recruiter lists, request placement/career outcome details from IISc CCE or alumni directly.
Practical checklist: prepare your employer and yourself
For you: - Confirm you meet the M.Tech eligibility criteria for your chosen specialisation and have minimum 2 years experience at the time of joining. - Update your CV and prepare a short project/achievement summary for the application. - Prepare for the online test: focus on maths, programming, signals (for ECE) and timed practice. - Keep scanned copies of degree certificates, mark sheets and experience letters ready.
For your employer/HR: - Verify the company’s IISc MoU partner status and submit nominations before 28 February 2026 . - Coordinate with shortlisted candidates for final selection by 30 May 2026 . - Clarify sponsorship, fee payment process and reimbursement timelines before the fee payment deadline (14 July 2026) .
Documents typically required: - Degree certificates and mark sheets, experience letter(s), company nomination form, ID proof and passport‑style photograph.
What you should ask IISc or your employer (short list)
- Exact per‑credit fee and instalment schedule for your specialisation.
- Detailed syllabus and credit map for each semester/term.
- Policy on leaves, exam retakes and credit carryover if work gets busy.
- Scholarship, waiver or financial aid options (not publicly specified here).
- Alumni contacts for career outcome discussions.
Next steps and where to get verified details
Ask HR to confirm your employer’s IISc MoU status and to submit nominations by 28 February 2026 . Once nominated, complete the online application between 16 March and 1 April 2026 .
For verified, up‑to‑date details, contact the IISc Centre for Continuing Education (IISc CCE) portal or your authorised company contact. Request the exact per‑credit fee sheet, instalment schedule and the full course brochure before accepting the offer.
Common FAQs
Q1: Can I apply directly if I’m not employed by an IISc partner company?
No. Company nomination is mandatory. Candidates must be nominated by their employer and the employer must be an IISc MoU partner.
Q2: Do I need a GATE score for this programme?
No. This pathway bypasses GATE for nominated working professionals. Admission is through company nomination, online test, academic profile and experience.
Q3: What is the minimum experience required to join?
Minimum 2 years work experience at the time of joining is required for all specialisations.
Q4: Is the online degree identical to an on‑campus M.Tech degree from IISc?
Yes. The degree awarded is an IISc M.Tech. Delivery, pacing and assessments differ from the on‑campus programme.
Q5: Are there scholarships or financial aid for this programme?
No standard scholarship details are publicly available. This is a coverage gap. Ask IISc CCE about any financial aid, corporate sponsorships or tax benefits through your employer.
Q6: What does the online test evaluate and how should I prepare?
The online test evaluates programming, mathematics (linear algebra, probability, statistics) and specialisation fundamentals. Focus on fundamentals, practice timed tests and revise subject basics relevant to AI, Data Science or ECE.
Q7: How are fees paid and what if my company reimburses me?
Fees are charged per credit and paid in parts across terms. Confirm the instalment schedule and payment deadlines with IISc CCE and your HR. If your employer reimburses, ensure their timeline matches the fee payment deadline (14 July 2026) .
Q8: Where can I get the detailed syllabus and per‑credit fee breakup?
Request the detailed course brochure and per‑credit fee sheet from IISc Centre for Continuing Education or through your company contact. These details are not published fully in the public notice and should be obtained directly.
Final note: practical timeline for you
- Talk to HR this week about IISc MoU partner status and nomination before 28 February 2026 .
- Prepare documents and study for the online test while the application portal opens on 16 March 2026 .
- Sit the online test on 2–3 May 2026 if invited. Follow up with HR on shortlist and final selection.
If you want an IISc M.Tech without GATE and you already work, this route is designed for you. But it depends on your employer acting fast and on you preparing well for the selection test. Ask for the per‑credit fee sheet and syllabus from IISc CCE early so there are no surprises.