Both MAS 101 and MAS 102 are placement cohorts for students graduating in 2027, but they differ in scope. MAS 101 is exclusively for IIT students (Pan-IIT), runs for 6 months, and follows a Pay After Placement model. MAS 102 is open to students from any institution, runs for 12 months, and is priced differently. Both programs offer structured mentorship, mock interviews, and active hiring-partner connections, but MAS 102 provides a longer runway for skill building.

Career Accelerator courses are designed for students or working professionals who want to build deep expertise and break into a high-growth domain. The 6-month track focuses on skill advancement, project portfolio building, and profile development — ideal if you already have foundational knowledge. The 12-month track is the flagship offering: it includes everything in the 6-month track plus guaranteed placement support, extended mentorship, and access to the full Mr. Hire deployment platform. Only the 12-month track carries a job guarantee.

Career Capsules are short, focused learning modules — 20 to 100 hours of curated content delivered over 4 weeks to 4 months. Domain Capsules offer deep dives into specific topics (SQL for Analytics, Python for Data Science, Power BI, GenAI). Tool Capsules focus on mastering a single tool end-to-end. If you're already in a bootcamp, Capsules can complement your learning by filling specific skill gaps or adding a specialisation that strengthens your profile for niche roles.

Yes. Every MAS program — cohort, bootcamp, or capsule — includes an industry-recognised completion certificate issued by My Analytics School and co-validated by our IIT alumni network. For Placement Cohort and Career Accelerator students, you additionally receive a Placement-Ready Badge on the Mr. Hire platform, visible to our 250+ hiring partners when they search for candidates.

Access depends on the program. The 12-month Career Accelerator includes lifetime access to recorded content via Mr. Learn, along with extended access to updated material. The 6-month Career Accelerator provides access for the duration of the program plus a post-completion period. Placement Cohort students (MAS 101/102) retain access through the full cohort duration. Career Capsule access is limited to the module duration with the option to revisit for a defined period.

Career Capsules range from ₹5,000–₹20,000 (upfront, per capsule). Career Accelerator 6-month costs ₹60,000–₹80,000 (upfront or EMI). Career Accelerator 12-month (Job-Guaranteed) costs ₹1,20,000–₹1,60,000, available via EMI or Income Share Agreement. Placement Cohorts (MAS 101/102) use a Pay After Placement model with only a small registration fee upfront. Full pricing is available on individual course pages.

Pay After Placement means you only pay the full program fee after you receive and accept a job offer — the program only earns when you earn. A non-refundable registration fee is collected at enrollment (typically ₹2,000–₹5,000) to secure your cohort seat, and is deducted from your total fee upon placement. There is no large upfront cost, no EMI burden during your program, and no payment obligation if you are not placed.

Yes. MAS offers no-cost EMI plans on 3, 6, and 12-month tenures for major credit and debit cards. An Income Share Agreement (ISA) option is also available for the 12-month Career Accelerator — you pay a percentage of your post-placement salary for a fixed period rather than paying upfront. Scholarship and fee-waiver slots are available for high-potential students on a case-by-case basis.

Within 7 days of enrollment: full refund (excluding payment processing charges). After 7 days but before the program starts: 50% refund. After the program starts: no refund. For Pay After Placement programs, the registration fee is non-refundable, but since no large fee is collected upfront, there is no additional financial exposure. ISA agreements have their own cancellation terms outlined in the agreement document.

MAS has placed 800+ students across 250+ companies, including Google, Microsoft, Amazon, J.P. Morgan, Morgan Stanley, McKinsey, Bain, BCG, Deloitte, EY, PwC, Accenture, KPMG, HSBC, Citibank, Flipkart, Paytm, Meesho, OLA, PhonePe, and Fractal. Typical roles include Data Analyst, Business Analyst, Data Scientist, Product Analyst, BI Developer, ML Engineer, Strategy Consultant, and Product Manager — with packages ranging from ₹8 LPA to ₹35+ LPA.

The 12-month Career Accelerator includes a Guaranteed Placement offering. For all other programs, MAS provides structured placement support: a dedicated Placement Manager, mock interviews with IIT alumni, direct referrals to hiring partners, resume and LinkedIn optimisation, and priority listing on Mr. Hire. The guarantee on the 12-month track means MAS continues supporting you until you land an offer — with defined terms in your enrollment agreement.

For students who actively engage — mock interviews, application drives, and Mr. Hire profile completion — most receive their first offer within 4 to 8 weeks post-program. MAS's Mr. Hire platform enables talent deployment in under 7 days for enterprise clients. Timelines vary based on target role, location, and market conditions, but MAS's structured pipeline significantly reduces the typical job-search duration.

MAS delivers layered support through the Mr. Mentor platform: 1-on-1 IIT alumni mentorship sessions (matched to your target role), weekly live cohort sessions with domain experts, dedicated doubt-clearing sessions, a peer learning community, a personal Placement Manager, resume and LinkedIn reviews, and mock interview panels with hiring professionals. Career Accelerator and Placement Cohort students receive priority access to all support tiers.

Yes — MAS has a network of 1,000+ IIT alumni mentors currently working at Google, Microsoft, McKinsey, Goldman Sachs, Morgan Stanley, Fractal, and top-growth startups. MAS was co-founded by IIT BHU alumnus Sajan Tonge (Founder & CEO) and IIT Madras alumnus Kumar Gaurav. Mentors are matched to students based on domain expertise and target industry, with structured session templates and feedback loops.

Prerequisites vary by program. MAS 101 requires you to be a final-year IIT student (2027 batch) — no coding background is mandatory, but basic familiarity is helpful. MAS 102 is open to final-year students from any institution. Career Accelerator courses require basic analytical thinking; the 12-month track is suitable even for beginners. Career Capsules have no formal prerequisites. In general, a willingness to put in consistent effort matters more than prior qualifications.

Absolutely. MAS 101 is specifically for IIT students, but every other program — MAS 102, all Career Accelerators, and all Capsules — is open to students and professionals from any institution across India. MAS has trained learners from NITs, BITS, IIITs, DU, and hundreds of Tier 2 and Tier 3 colleges. Hiring partners evaluate candidates on competence demonstrated through projects and assessments, not institution name.

Yes. The Career Accelerator (6-month and 12-month) programs and all Capsule courses are designed to accommodate working professionals with flexible batch timings and self-paced module access. If you're targeting a lateral move into Data, AI, Product, or Consulting — Mr. Hire directly connects you with companies actively hiring experienced professionals. Many MAS alumni have transitioned from non-tech backgrounds with 40–100% salary increases.

Until 2026, MAS has been a fully digital platform — live cohort sessions, mentorship, mock interviews, and placement drives are all conducted online. You can join from anywhere in India without relocating. MAS is expanding into physical learning centres in select cities starting 2026, but the online experience will remain the primary and full-featured mode. All content is accessible via Mr. Learn, Mr. Mentor, and Mr. Hire.

MAS programs are organised around 9 skill clusters: (1) Data Analytics & BI — SQL, Power BI, Tableau, Excel; (2) Data Science & Statistics — Python, R, statistical modelling; (3) AI & Machine Learning — ML algorithms, NLP, computer vision; (4) Generative AI & LLMs — prompt engineering, RAG, fine-tuning; (5) Product Management — roadmapping, PRDs, user research; (6) Strategy & Consulting — frameworks, case-solving; (7) Finance & Quant — derivatives, risk modelling; (8) Digital Marketing Analytics; (9) Cloud & Data Engineering — dbt, Spark, Airflow.

Strong in Maths/Statistics → Data Science or AI & ML. Enjoy data with business context → Data Analytics & BI or Strategy & Consulting. Interested in building products → Product Management. Finance background → Finance & Quant. Like building data infrastructure → Cloud & Data Engineering. If unsure, our free mentorship call with an IIT alumni mentor can map your strengths to the right domain within 30 minutes.