IIT Bombay - Indian Institute of Technology Mumbai Answered Questions

Before an understanding of how one can study to get into BTech CSE, candidates should know what they have to study for admission to the BTech CSE at IIT Bombay. For admission, the university accepts the scores of JEE Mains and JEE Advanced. Hence, candidates should focus on Physics, Chemistry, and Mathematics with conceptual and application-based questions, which are the most important parts of the JEE Mains and JEE Advanced syllabus. Check out the useful tips and tricks for preparation for BTech courses at IIT Bombay below: Candidates must complete the Class 11 and 12 syllabus thoroughly of Physics, Chemistry, and Mathematics subjects. Additionally, try the 'example problems' as well for more practice with objective questions.Create a weekly plan, and according to that, make up the schedule that you wish to complete in that week. The small goals can lead aspirants towards the biggest achievement. In addition, candidates should stick to their weekly plans to cover the syllabus swiftly and on time. All of the questions in the exams are taken from the JEE Main and JEE Advanced syllabuses. Hence, make sure that applicants complete the syllabus of the mentioned exams thoroughly. Create the revision strategy and invest an hour or so in the whole day to revise everything that you have studied the whole day. Making a schedule that works. Do not attempt anything new right before the exam, as candidates may forget what they have already learned.Read: JEE Mains syllabus & JEE Advanced syllabus.

The overall placement rate recorded during IIT Bombay 2024 placements was 74.53%. The average package and median package stood at INR 23.5 LPA and INR 17.92 LPA, respectively. Further, a total of 364 recruiters visited the campus. Check the complete insights of IIT Bombay placements 2024 from the table below:ParticularsPlacement Statistics (2024)Placement rate74.53%Average package INR 23.5 LPAMedian package INR 17.92 LPATotal companies visited 364Top recruiters ISRO, Google, Intel, Samsung, Qualcomm

With 85 percentile in CAT, it is quite difficult to get MBA at IIT Bombay among General AI category. IIT Bombay offers admission to MBA course on the basis of CAT scores. The IIT Bombay CAT Cutoff 2024 is yet to be released for MBA admissions. However, the cutoff percentile in past few years to get MBA at IIT Bombay has been 90 percentile. Candidates with at least 90 percentile can have a good chance of getting selected for an MBA at IIT Bombay. However, the cutoff marks change every year and hence it can vary. The students who have appeared for other management exams such as XAT/CMAT/MAT as well can submit their best scores at the time of form filling.

Hi,  Yes, IIT Bombay's Shailesh J. Mehta School of Management (SJSOM) does accept non-engineer students for its MBA program. While a significant portion of the student body typically comes from engineering backgrounds, SJSOM values diversity in its batch and welcomes candidates from various academic disciplines, including commerce, science, arts, and more.  The admission process primarily evaluates your CAT score, academic background, work experience (if applicable), and performance in the personal interview. A strong CAT percentile, paired with good communication skills and clarity about your career goals, can help you stand out regardless of your academic background.  If you're passionate about pursuing management studies at SJSOM, focus on building a strong application that highlights your unique skills and experiences.  all the very best  for your preparation and application process! 

IIT Bombay offers MDes courses for two years in five specialisations i.e., Interaction Design (IN), Mobility and Vehicle Design (MD), Animation Design (AN), Communication Design (CD), and Industrial Design (ID). The scope after completing MDes from IIT Bombay is huge as it opens opportunities for various job profiles such as Fashion designer, Product Research Analyst, Graphic designer, Product Designer, Visual Designer, Design Manager, Game Designer and Industrial Designer.

IIT Bombay cutoff 2024 got released across multiple M.Tech specialisations. Based on the Round 1 seat allotment, to get into IIT Bombay, students must score between 325 and, 750 for the General AII India category. In addition to that, For getting into M.Tech in Computer Science and Engineering, you must have a rank upto 750. Also, M.Tech. in Industrial Engineering and Operations Research and M.S. by Research in Data Science and Artificial Intelligence were some other most competitive M.Tech specialisations at IIT Bombay. So, considering the round 1 cutoff, if you are seeking admission to Indian Institute of Technology Bombay, you must secure a minimum score of 325.

Candidates seeking admission to the Bachelor of Design (BDes) programme offered at IIT Bombay must apply for UCEED first, and then submit a duly filled application to the institute. To apply for BDes, follow the step-wise application process:Step 1: Visit the official website of UCEED.Step 2: Click on the "Registration" button and then on "Registration Portal".Step 3: Register using a valid email ID and enter the required details and submit them.Step 4: Log in to the registered account to fill out the application form.Step 5: Choose preferred exam cities (three) and upload the scanned documents.Step 6: Payment of the application fee and submit the application.

Yes, IIT Bombay accept GATE scores for the admission to M.S/ M.Tech courses for various All India categories. Further, as per the IIT Bombay cutoff 2024, the last-round ranged between 325 and 725 for the General AI category candidates. Among all the categories, the most difficult course to get into IIT Bombay was M.Tech. in Computer Science and Engineering having a last-round cutoff 750.

Completing an M.S. by Research in Data Science and Artificial Intelligence from IIT Bombay can open up numerous high-quality placement opportunities, given the institute's excellent reputation and strong industry connections. Graduates from this programme often receive offers from top-tier tech companies, research organizations, startups, and consulting firms.Potential career paths include:Data Scientist/Engineer: Working in industries like finance, healthcare, e-commerce, and tech, analyzing complex data sets to provide actionable insights.Machine Learning Engineer: Developing AI models, algorithms, and systems for various applications such as natural language processing, computer vision, and robotics.Artificial Intelligence Researcher: Contributing to cutting-edge research in AI and ML, often in academic institutions, private R&D labs, or big tech companies.Business Intelligence Analyst: Helping organizations in data-driven decision-making processes, focusing on trends and predictive modeling.Consulting: Data Science and AI consultants are in high demand to help businesses adopt AI solutions and improve processes.