Dear candidate ,
NTA does not usually entertain individual requests to reschedule CUET exam dates for personal reasons like courses or internships . Rescheduling is generally allowed only in exceptional cases such as medical emergencies , errors from NTA's side or clash with another national level exam like NEET or JEE and even then a valid proof is required .
You should wait for the official exam schedule and admit card release to check for any conflicts . If your subjects are scheduled before your course , there will not be an issue . Otherwise , consider contacting the course coordinator to explore flexibility on that end , as CUET dates are fixed once assigned .

Hello there,

Yes, a rank below 2000 for OBC-NCL category in JEE Main B.Planning is considered very good.

Here’s why:

• You have a strong chance of getting top institutes like NITs , SPAs , and other centrally funded institutions.

• You may get popular specializations in B.Planning at reputed colleges.

• Seat allocation under OBC-NCL quota is favourable at this rank.

To make the most of it:

• Apply for JoSAA counselling seriously.

• Prioritize top NITs or SPAs in your choice list.

So yes, a rank under 2000 in OBC-NCL for B.Planning is excellent and opens doors to top institutes with good academic and placement records.

I hope this answer helps you. If you have more queries, feel free to share your questions with us, and we will be happy to assist you.

Thank you, and I wish you all the best in your bright future.

The time needed to prepare for the GATE exam varies greatly depending on individual factors like study habits, whether the concepts are clear or not and etc...However, a timeframe of 1 to 2 years is generally recommended for serious preparation, especially if you're aiming for a good rank.

If your basics are clear and you are well known with the concepts then focus on pyq's and give mock tests and re-revise the syllabus. But if your preparation is not that much good then I would suggest that give a complete one year time and prepare well and then appear for the Exam.

Hii,

Both Mahindra University's CSE (Data Science) and Vasavi's ECE are excellent options, however it all depends on your ambitions.  Mahindra's Data Science program is up-to-date, with excellent industry connections and high placement rates (8-12 LPA).  It is ideal for technical professions and master's degrees in data science or artificial intelligence.

Vasavi's ECE is well-established, with good placement rates (avg. 6-10 LPA), and is suitable for hardware or electronics MS.  If you enjoy technology and coding, consider Mahindra's CSE (Data Science) program, which is future-focused.  If you enjoy electronics and circuitry, consider Vasavi's ECE.  Both support MS plans, although Mahindra may have a minor advantage for tech MS programs due to its concentration.

• Mahindra University, Hyderabad: www.mahindrauniversity.edu.in (https://www.mahindrauniversity.edu.in)
• Vasavi College of Engineering, Hyderabad: www.vce.ac.i (https://www.vce.ac.in) n

a college may plan to improve student learning and placements, most institutions are now focusing on industry tie-ups, skill-based training, and real-world exposure. Many are introducing certificate courses in collaboration with tech companies, hosting industry expert sessions, and forming placement cells that work closely with recruiters. Some colleges are also signing MoUs with multinational companies and launching internship-driven learning modules to bridge the gap between academics and employment. In addition, colleges are upgrading their infrastructure for digital learning, encouraging entrepreneurship cells, and promoting campus-based startup incubators. These efforts aim to equip students with practical skills and boost their chances of securing better job opportunities after graduation

It's completely understandable to feel apprehensive about pursuing a BCA with an AI specialization if you come from a commerce background and have no prior coding experience. However, it's definitely possible to not just survive but also thrive in such a program with the right mindset and approach.

Many students entering BCA programs, even those without a commerce background, often have limited or no prior coding knowledge. Universities offering these programs are typically aware of this and design their curriculum to introduce programming concepts from the basics. You'll likely start with fundamental programming languages and gradually progress to more complex topics relevant to AI.

Your commerce background can actually bring a unique perspective to the field of AI. AI isn't just about algorithms and code; it has significant applications in business, finance, marketing, and data analysis – areas where your understanding of commerce principles can be a real asset. As AI continues to integrate into various industries, professionals who can bridge the gap between the technical aspects of AI and business acumen will be highly valuable.

To succeed, you'll need to be prepared to put in extra effort, especially in the initial semesters. Be proactive in learning, don't hesitate to ask questions in class, and seek help from your professors or peers when you face difficulties. Utilize the resources provided by your institution, such as lab sessions, online learning platforms, and study groups. Building a strong foundation in programming is crucial, so dedicate time to practice coding regularly.

Consider starting to familiarize yourself with basic programming concepts and popular languages like Python through online tutorials or introductory courses even before your program begins. This can give you a head start and build your confidence. Remember that learning to code is a skill that develops over time with consistent effort and practice. Your determination and willingness to learn will be the most significant factors in your success. Embrace the challenge, stay focused, and leverage your unique background to excel in the field of AI.