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Lal Bahadur Shastri Institute of Management (LBSIM) in Delhi’s Dwarka has carved out a specific, and frankly, effective niche. If you're targeting a career in finance or analytics and missed the IIM cut, this is the institute that comes up in every conversation. It’s a compact, no-nonsense business school where the average package hovers around 12.25 LPA, and the median is a solid 12 LPA. That’s a decent, predictable outcome. But LBSIM isn't about sprawling lawns or a vibrant campus life—it’s about getting you Bloomberg terminal access, a rigorous academic schedule, and a foot in the door at firms like Deloitte, KPMG, and ICICI Bank. You come here to work.
LBSIM runs five, two-year full-time PGDM programs. The PGDM (General) is the flagship with 180 seats, but the real differentiators are the niche offerings. The PGDM (Financial Management) is their crown jewel, heavily leveraging the on-campus Bloomberg Lab. The PGDM (Research & Business Analytics) and the newer PGDM (Artificial Intelligence & Data Science) cater directly to the data-driven job market. And the PGDM (E-Business) focuses on digital commerce.
The academic culture is known to be structured, even strict. They run a trimester system and enforce a 75% attendance rule. The grading is a 10-point CGPA scale, with a heavy 60% weight on internal assessments—quizzes, projects, mid-terms. You need to maintain a minimum CGPA of 5.0 to graduate. It feels more disciplined than some other B-schools, which can be a pro or a con depending on what you want. The faculty strength is a plus, with over 45 of the 55+ core members holding PhDs from institutions like IITs and IIMs. They’re described as approachable industry veterans, not just theorists.
53 ranking entries · click any row to see year-by-year trend
Year-on-Year Trends
1 stream · Fees from ₹2.0 L to ₹15.5 L
2 exams with cutoff data available — showing recent entries
| Course | Category | Rank | Year | Rd |
|---|---|---|---|---|
| Post Graduate Diploma in Data Science & Artificial Intelligence | General / Unreserved (UR) | 68 | 2025 | R1 |
| PGDM - RBA | General / Unreserved (UR) | 72 | 2025 | R1 |
| Post Graduate Diploma in Financial Management | General / Unreserved (UR) | 81 | 2025 | R1 |
| PGDM | General / Unreserved (UR) | 83 | 2025 | R1 |
| Post Graduate Diploma in Data Science & Artificial Intelligence | General / Unreserved (UR) | 69 | 2025 | R1 |
| PGDM - RBA | General / Unreserved (UR) | 76 | 2025 | R1 |
| Post Graduate Diploma in Financial Management | General / Unreserved (UR) | 81 | 2025 | R1 |
| PGDM | General / Unreserved (UR) | 83 | 2025 | R1 |
| PGDM | General / Unreserved (UR) | 86 | 2024 | R1 |
| Post Graduate Diploma in Data Science & Artificial Intelligence | General / Unreserved (UR) | 72 | 2024 | R1 |
| PGDM - RBA | General / Unreserved (UR) | 76 | 2024 | R1 |
| Post Graduate Diploma in Financial Management | General / Unreserved (UR) | 80 | 2024 | R1 |
| Post Graduate Diploma in Data Science & Artificial Intelligence | General / Unreserved (UR) | 71 | 2024 | R1 |
| PGDM - RBA | General / Unreserved (UR) | 76 | 2024 | R1 |
| Post Graduate Diploma in Financial Management | General / Unreserved (UR) | 78 | 2024 | R1 |
| PGDM | General / Unreserved (UR) | 83 | 2024 | R1 |
| Post Graduate Diploma in Data Science & Artificial Intelligence | General / Unreserved (UR) | 67 | 2023 | R1 |
| PGDM - RBA | General / Unreserved (UR) | 72 | 2023 | R1 |
| Post Graduate Diploma in Financial Management | General / Unreserved (UR) | 80 | 2023 | R1 |
| PGDM | General / Unreserved (UR) | 82 | 2023 | R1 |
| PGDM E Business | General / Unreserved (UR) | 70 | 2023 | R1 |
| PG Diploma in Data Science & Artificial Intelligence | General / Unreserved (UR) | 70 | 2023 | R1 |
| PGDM - RBA | General / Unreserved (UR) | 76 | 2023 | R1 |
| Post Graduate Diploma in Data Science & Artificial Intelligence | General / Unreserved (UR) | 73 | 2023 | R1 |
| PGDM - RBA | General / Unreserved (UR) | 77 | 2023 | R1 |
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Science LabsNo, LBSIM does not accept CMAT scores for its PGDM programs. The institute only considers CAT, XAT, and GMAT scores for admission.
While the official website may state a lower figure, the actual CAT percentile required to receive an admission call for the General PGDM program typically hovers around 83 to 85 percentile or higher.
The choice depends on specialization. LBSIM is generally considered stronger for Finance, while FORE School of Management is often seen as superior for Marketing. LBSIM is also noted for having a slightly more disciplined academic culture.
Yes, hostel stay is mandatory for outstation students. However, students who are residents of the Delhi-NCR region can apply for an exemption from this requirement.
The Bloomberg Lab is famous for providing students with access to real-time financial market data used by professional traders. LBSIM integrates this platform into its Financial Management curriculum and offers students the opportunity to earn a "Bloomberg Market Concepts" certification.
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Here’s the official data for the 2024-25 cycle: the highest domestic package was ₹20 LPA, the average was ₹12.25 LPA, and the median was ₹12 LPA. The institute claims 100% placement, and student reviews suggest it’s close, around 95% for the specialized branches. The sectoral split is telling: BFSI (26%) and IT/ITES (22%) dominate, with FMCG/Engineering making up another 30%. That aligns perfectly with the institute's strengths.
The top recruiter list is credible. You’ll see Deloitte, KPMG, EY, and PwC for consulting. For finance, there’s ICICI Bank, Kotak Mahindra, HDFC Bank, and names like TresVista and Oxane Partners. IT giants like Infosys, Wipro, and Capgemini are regulars. It’s a strong roster for a Tier-2 school.
Now, the reality check from student forums. There’s a consistent murmur that the average package can be slightly inflated by a handful of very high offers. The advice you’ll see on Reddit is to look at the median package (₹12 LPA) as a more realistic expectation for the average student. That’s still a good number, but it tempers the hype. Summer internships see 100% placement, with an average stipend of about ₹43,490 for two months.
The total tuition fee for two years is ₹17.25 lakhs. Add to that a one-time admission fee of ₹67,000 and annual hostel charges ranging from ₹2.16 to ₹2.4 lakhs. All in, you’re looking at a total cost of ₹22.5 to ₹24 lakhs for the two-year PGDM, all inclusive.
It’s not cheap, but the ROI is calculable. With a median package of ₹12 LPA, it’s a defensible investment compared to some private colleges with similar fees but weaker outcomes. Financial aid is limited. LBSIM offers a few Merit-cum-Means scholarships of ₹1 lakh each for meritorious students from economically weaker sections. Don’t bank on extensive scholarship support; plan your finances around the full fee.
LBSIM is selective about its entrance exams. They accept CAT, XAT, and GMAT scores. They do not accept CMAT or MAT for their flagship PGDM programs, which is a filter that maintains a certain applicant quality.
The cutoffs aren’t static, but for the 2024/25 intake, the call-getter percentiles were roughly:
These are the scores that typically fetched an interview call. The selection process is comprehensive: after shortlisting based on the entrance exam (60% weight), candidates go through a Group Discussion, an Extempore, and a Personal Interview. Your past academics (10th, 12th, graduation) and any work experience also factor into the final merit list. The application window usually opens in September and closes by January 31st. Keep an eye on the official website for exact dates.
Let’s be direct: the campus is compact. It’s about 1.1 acres, essentially one large building in Dwarka. There’s no sprawling, traditional university campus here. You get a well-equipped library (the Learning Resource Centre), the famous Bloomberg and IBM analytics labs, a gym, and spaces for badminton and table tennis. For larger sports, they use nearby DDA complexes. The Wi-Fi is campus-wide and reliable.
The hostel is off-campus, located about 3 km away. It’s modern, with AC twin-sharing rooms, and the institute runs a dedicated shuttle service. Reviews on the hostel are mixed—the facilities are rated well (4/5), but the commute, even with the shuttle, is seen as a minor hassle. The food in the mess is vegetarian (with eggs) and gets an average rating of 3.5/5. Hostel stay is mandatory for outstation students; Delhi-NCR residents can seek an exemption.
Student life is academically focused. The location in Dwarka is safe and incredibly well-connected—the Sector 11 metro station is literally a stone's throw away, which is a huge plus for day scholars and for weekend life in Delhi.
The consensus across platforms like CollegeDunia, Shiksha, and Reddit is clear: LBSIM is a solid Tier-2 B-school. It’s frequently compared to FORE School and IMI Delhi. The strengths everyone agrees on? Its finance program is top-notch for a non-IIM, thanks largely to the Bloomberg Lab. The faculty is knowledgeable and accessible. The location and metro connectivity are major wins. And the ROI is seen as fair.
But the criticisms are just as consistent. The small campus size means a lack of traditional “campus life.” The academic environment is strict, with enforced attendance—it feels more like a disciplined school than a free-wheeling college to some. And there’s that underlying skepticism about placement stats, with alumni advising prospective students to focus on the median salary, not the average.
LBSIM is a very specific bet. It’s best for the student who has a clear career target in finance, analytics, or consulting, missed the very top IIMs/FMS, and wants a rigorous, professionally-focused education in Delhi without the premium price tag of some other private institutes. If you want a vibrant campus life with lots of extracurriculars, look elsewhere. But if you want to put your head down, get certified on Bloomberg terminals, and land a job with a reputable firm at a ₹12 LPA median, LBSIM delivers that efficiently. It’s a pragmatic choice, not a glamorous one. Just go in with your eyes open about the compact campus and the disciplined routine. For the right candidate, it’s a platform that works.

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