#B Tech Artificial Intelligence and Data Science

[allianceuniversityeducation]

BTech Data Science: Complete Guide to Curriculum, Careers & Best Colleges

In today’s digitally-driven economy, the role of data is more vital than ever. From predictive analytics in e-commerce to machine learning applications in healthcare, data science and artificial intelligence are shaping the future. If you're planning to pursue a career in this evolving domain, a btech data science program is your ideal starting point. This article explores everything you need to know — curriculum, career prospects, and why Alliance University stands out as one of the best data science institutes in India.

Why BTech Data Science?

As industries adopt smarter technologies, the need for skilled professionals in ai and data science engineering continues to surge. A b tech in data science equips students with foundational and advanced knowledge in data handling, analytics, machine learning, artificial intelligence, and statistical computing.

Programs like b tech artificial intelligence and data science offer students a comprehensive understanding of how data can be leveraged to solve real-world problems — making them job-ready for high-demand roles.

Alliance University: A Leader in Data Science Education

When it comes to selecting the best college for data science in India, Alliance University emerges as a top choice. Recognized for its industry-focused curriculum and modern teaching methodologies, Alliance is among the premier data science colleges in India offering:

B. Tech. in Artificial Intelligence and Data Science

B. Tech. in Artificial Intelligence and Machine Learning

B. Tech. in Computer Science & Engineering

B. Tech. in Computer Science & Engineering – AI and Future Technologies

B. Tech. in Computer Science & Engineering – Block Chain Technologies

B. Tech. in Computer Science & Engineering – Cloud Computing

B. Tech. in Computer Science & Engineering – Cyber Security

B. Tech. in Computer Science & Engineering – DevOps

B. Tech. in Computer Science & Engineering – Full Stack Development

B. Tech. in Computer Science & Engineering – Internet of Things (IoT)

B. Tech. in Computer Science & Engineering – Software Product Engineering

B. Tech. in Information Technology

B. Tech. in Information Technology – Augmented Reality and Virtual Reality (AR / VR)

B. Tech. in Information Technology – Data Analytics

Bachelor of Computer Applications (Honours)

Bachelor of Computer Applications (Honours) - Artificial Intelligence and Machine Learning

Bachelor of Computer Applications (Honours) - Data Science

Bachelor of Computer Applications (Honours) - Game Development

B. Tech. in Aerospace Engineering

B. Tech. in Biotechnology

B. Tech. in Civil Engineering

B. Tech. in Electrical and Electronics Engineering

B. Tech. in Electronics and Communication Engineering

B. Tech. in Mechanical Engineering

B. Tech. in Production Engineering

With a cutting-edge approach to artificial intelligence and data science engineering, Alliance University is also among the most sought-after artificial intelligence colleges in Bangalore and ranks high among data science colleges in Bangalore.

Curriculum Overview: What You’ll Learn

The b.tech artificial intelligence and data science curriculum at Alliance University is thoughtfully designed to keep pace with industry demands. The program blends theory with hands-on experience, focusing on the following core areas:

Fundamentals of Programming & Data Structures

Probability, Linear Algebra, and Statistical Analysis

Artificial Intelligence and Machine Learning

Big Data Analytics & Cloud Computing

Deep Learning and Neural Networks

Natural Language Processing

Data Visualization & Business Intelligence

Ethical and Legal Aspects of Data Use

Students are also trained in tools and languages such as Python, R, SQL, Hadoop, and TensorFlow — crucial for any data science career.

Career Opportunities After BTech Data Science

Graduates of btech artificial intelligence and data science from Alliance University are well-positioned for a variety of lucrative and impactful roles, including:

Data Scientist

Machine Learning Engineer

AI Engineer

Data Analyst

Business Intelligence Analyst

Research Scientist

Cloud Data Engineer

Thanks to its location in Bangalore — the tech capital of India — Alliance University connects students to top recruiters in the AI and data science space.

Why Choose Alliance University for BTech Data Science?

Best College for Data Science in India: Alliance University is widely recognized for its excellence in data science and AI education.

Top-Tier Curriculum: The syllabus is constantly updated to meet industry standards.

Modern Labs and Tools: Hands-on experience with the latest technologies in ai and data science engineering.

Expert Faculty: Learn from experienced professors and industry veterans.

Placement Support: Strong placement cell with connections to leading tech companies.

Ranked Among Top Artificial Intelligence Engineering Colleges in Bangalore: A key advantage for aspiring AI professionals.

How to Get Started

If you're ready to build a career at the intersection of data, technology, and innovation, enrolling in the b tech in data science or b tech artificial intelligence and data science program at Alliance University is the right step.

As one of the top data science colleges in India, Alliance offers not just academic excellence, but also a strong foundation in practical and industry-ready skills. Whether you're searching for the best data science institute in India or the most dynamic artificial intelligence colleges in Bangalore, Alliance University delivers on all fronts.

Final Thoughts

The world is powered by data, and the need for professionals who can interpret, analyze, and apply that data is growing rapidly. A degree in btech data science or btech artificial intelligence and data science from Alliance University opens doors to endless possibilities in tech and beyond.

Begin your journey at one of the most respected data science colleges in Bangalore and unlock your future in AI and analytics with Alliance University — a true leader in next-gen engineering education.

[woxsennuniversity]

Woxsen University is a leading institution known for its innovative programs and world-class education. Among its cutting-edge courses, B Tech AI and Data Science stands out, equipping students with advanced knowledge in artificial intelligence, machine learning, and big data analytics. The program emphasizes hands-on learning, industry collaborations, and research-driven education, preparing graduates for high-demand tech careers. With state-of-the-art labs and expert faculty, Woxsen fosters innovation and problem-solving skills. Its multidisciplinary approach ensures students excel in the evolving field of B Tech AI and Data Science.

[somaiya-vidyavihar-university]

Discover top B Tech programs in Artificial Intelligence, Data Science, Robotics, and Automation. Learn how Somaiya Vidyavihar University prepares students for career in engineering.

[sumitkanth7]

BTech Artificial Intelligence & Data Science – Top College in Bangalore

Tech Artificial Intelligence and Data Science Colleges in Bangalore offer a cutting-edge curriculum combining AI, machine learning, data analytics, and big data technologies. With expert faculty, modern labs, and real-world projects, REVA University prepares students for careers in AI research, data science, and intelligent systems development. Emphasizing hands-on learning and industry partnerships, the program fosters innovation and problem-solving skills, making it a preferred choice among aspiring tech professionals in Bangalore’s dynamic ecosystem.

[integraluniversity]

List of Best Btech in Artificial Intelligence colleges

The future of a B. Tech in artificial intelligence is promising because the technology is currently transforming all industries. Experts in AI who fulfill the qualifications are highly sought for. Students can pursue careers in artificial intelligence, data science, machine learning, and other fields after completing this course. Students can pursue postgraduate courses, such as the M. Tech in related disciplines, to further their education after earning their B. Tech in Artificial Intelligence. Additionally, they might enroll in a PG certification course or get a PG diploma. One can pursue a lucrative and impactful career with a B. Tech in Artificial Intelligence.

[arunseodelhi]

Top 10 Engineering Colleges in UP

[gitengineering]

 Best engineering college in Kerala| The Expansive Scope of Computer Engineering in India

Explore vast career prospects in computer engineering at GIT Engineering College, a top-ranked institution in Kottayam. Specialize in artificial intelligence, software development, data science, and more. Start your journey towards a tech-driven future today!

Computer engineering offers immense scope and opportunities, making it a popular choice among students. Are you curious about the possibilities in this dynamic field? Let’s delve into what computer engineering entails and the vast career prospects it offers.

 What is Computer Engineering?

Computer Engineering is a branch of engineering focused on developing and evolving both computer hardware and software. This field integrates software development and design, hardware-software integration, and electronic management of computer systems. It encompasses circuit designing, computing, design, and control of microcontrollers, microprocessors, PCs, supercomputers, and more.

 Scope of Computer Engineering

The rapid growth of technology and the IT sector has significantly increased the scope of computer engineering in India. The digital transformation spurred by the pandemic has further accelerated this trend, expanding the IT sector from a small flower garden to a vast field. A B.Tech in Computer Science equips students with foundational knowledge in systems, computer architecture, networking, database systems, operating systems, programming, website design, computation, e-commerce, software and hardware studies, and multimedia applications.

Graduates with a B.Tech in Computer Science can earn between ten to thirty lakhs per annum. They can seek employment in various sectors, including MNCs, NGOs, private firms like Wipro, Google, Infosys, HCL, Facebook, Microsoft, Amazon, Flipkart, IBM, Adobe, and government organizations through the GATE examination. Computer engineers find opportunities in software companies, banks, public sectors, colleges and universities, IT firms, media and entertainment, PR, advertising, finance, research labs, medical fields, digital consultancy, armed forces, and more.

 Career Domains in Computer Engineering

Computer engineering offers careers in:

- Artificial Intelligence and Robotics

- Embedded Systems

- Ethical Hacking

- Wireless Networks

- Computer Manufacturing

- Database Systems

- Web Applications

- Animation

- Computer Graphics

- Scientific Modelling

- Computational Biology

- Video Game Development

- Mobile Application Development

- Data Science

- Network Administration

 Top Professional Job Profiles for Computer Engineers

Here are the top nine job profiles for computer engineers:

1. Data Scientist

   - Data Scientists analyse and interpret large amounts of data, utilizing skills in statistics, mathematics, and computer science to structure and organize databases for various organizations.

2. System Analyst

   - System Analysts optimize and troubleshoot existing systems, suggest new programs and applications, and enhance the role of technology in organizations, working in financial, medical, IT, and government agencies.

3. Software Developer

   - Software Developers design and develop system software and applications to improve organizational performance, creating apps and games by writing code in languages like Python, Java, C, SQL, etc.

4. Hardware Engineer

   - Hardware Engineers design, develop, and test physical components of computers and technological systems, contributing to fields like robotics, AI, embedded systems, and medical sectors.

5. IT Consultant

   - IT Consultants work on projects, analyse data, determine information system requirements, recommend hardware and software, and troubleshoot issues for various sectors, including IT, finance, and medical fields.

6. Networking Engineer

   - Network Engineers create and maintain information transmission systems and networks, ensuring security and maximum infrastructure for users and organizations.

7. Database Administrator

   - Database Administrators manage and analyse databases for banks, hospitals, financial firms, government organizations, and universities.

8. Web Developer

   - Web Developers design and develop websites, ensuring technical functionality, user interface, engagement, performance, and maintenance for businesses, non-profits, and e-commerce.

9. Embedded Systems Engineer

   - Embedded Systems Engineers use software programming tools and microprocessors to control devices and machines in education, healthcare, aviation, automotive, and consumer electronics industries.

 Building a Successful Career in Computer Engineering: Tips and Hacks

1. Know Your Strengths

   - Understand why you are interested in computer engineering and what you plan to achieve with it. Identifying specific technical and soft skills is crucial for your chosen career path.

2. Graduate from a Prestigious Institution

   - Choose a degree from a well-accredited institution to enhance your employability. For those seeking the best engineering college in Kottayam, consider GIT Engineering College, a top-rank engineering college in Kottayam.

By following these guidelines, you can pave the way for a successful career in computer engineering. Embrace the vast opportunities and be part of the technological revolution shaping our world.

 Conclusion

The field of computer engineering is thriving, offering a wealth of career opportunities. By obtaining a degree from a prestigious institution like GIT Engineering College, one of the best engineering colleges in Kottayam, you can ensure a bright and successful future in this dynamic field.

For more information and to explore our programs, visit our website today. Start your journey towards a rewarding career in computer engineering with GIT Engineering College Top engineering college in Kottayam.

[kletech]

Best B Tech Artificial Intelligence and Data Science Colleges

The best colleges offering B.Tech programs in Artificial Intelligence and Data Science. Gain cutting-edge skills in AI, machine learning, big data analytics, and more. Our curated list features institutions with state-of-the-art facilities, expert faculty, and excellent placement records. Whether you're looking to innovate in AI technology or analyze complex data, these colleges provide the perfect environment to kickstart your career. Join a community of forward-thinkers and shape the future with a degree in AI and Data Science.

[futureinstitutions1]

ADMISSION OPEN FOR B.TECH IN ARTIFICIAL INTELLIGENCE & DATA SCIENCE BAREILLY

Admissions open for B.Tech in AI & Data Science at Future Group of Institutions, Bareilly. Join us to advance your career with cutting-edge education and opportunities.

[woxsennuniversity]

Woxsen University is recognized as one of the top B.Tech colleges in India, offering cutting-edge programs in engineering and technology. Its B.Tech curriculum is designed to equip students with technical expertise and problem-solving skills through a blend of theoretical knowledge and practical application. Woxsen provides specializations in Artificial Intelligence, Data Science, and other emerging fields, ensuring that graduates are industry-ready. The university’s state-of-the-art labs, experienced faculty, and industry partnerships create a learning environment that fosters innovation and career success.

[somaiya-vidyavihar-university]

Pursue Cutting-Edge Technology Courses At Somaiya Vidyavihar

Explore cutting-edge B Tech programs in Artificial Intelligence, Robotics, and Automation at Somaiya Vidyavihar. Gain skills, industry exposure, and a tech-driven future.

[kanguin]

Prometheus Gave the Gift of Fire to Mankind. We Can't Give it Back, nor Should We.

AI. Artificial intelligence. Large Language Models. Learning Algorithms. Deep Learning. Generative Algorithms. Neural Networks. This technology has many names, and has been a polarizing topic in numerous communities online. By my observation, a lot of the discussion is either solely focused on A) how to profit off it or B) how to get rid of it and/or protect yourself from it. But to me, I feel both of these perspectives apply a very narrow usage lens on something that's more than a get rich quick scheme or an evil plague to wipe from the earth.

This is going to be long, because as someone whose degree is in psych and computer science, has been a teacher, has been a writing tutor for my younger brother, and whose fiance works in freelance data model training... I have a lot to say about this.

I'm going to address the profit angle first, because I feel most people in my orbit (and in related orbits) on Tumblr are going to agree with this: flat out, the way AI is being utilized by large corporations and tech startups -- scraping mass amounts of visual and written works without consent and compensation, replacing human professionals in roles from concept art to story boarding to screenwriting to customer service and more -- is unethical and damaging to the wellbeing of people, would-be hires and consumers alike. It's wasting energy having dedicated servers running nonstop generating content that serves no greater purpose, and is even pressing on already overworked educators because plagiarism just got a very new, harder to identify younger brother that's also infinitely more easy to access.

In fact, ChatGPT is such an issue in the education world that plagiarism-detector subscription services that take advantage of how overworked teachers are have begun paddling supposed AI-detectors to schools and universities. Detectors that plainly DO NOT and CANNOT work, because the difference between "A Writer Who Writes Surprisingly Well For Their Age" is indistinguishable from "A Language Replicating Algorithm That Followed A Prompt Correctly", just as "A Writer Who Doesn't Know What They're Talking About Or Even How To Write Properly" is indistinguishable from "A Language Replicating Algorithm That Returned Bad Results". What's hilarious is that the way these "detectors" work is also run by AI.

(to be clear, I say plagiarism detectors like TurnItIn.com and such are predatory because A) they cost money to access advanced features that B) often don't work properly or as intended with several false flags, and C) these companies often are super shady behind the scenes; TurnItIn for instance has been involved in numerous lawsuits over intellectual property violations, as their services scrape (or hopefully scraped now) the papers submitted to the site without user consent (or under coerced consent if being forced to use it by an educator), which it uses in can use in its own databases as it pleases, such as for training the AI detecting AI that rarely actually detects AI.)

The prevalence of visual and lingustic generative algorithms is having multiple, overlapping, and complex consequences on many facets of society, from art to music to writing to film and video game production, and even in the classroom before all that, so it's no wonder that many disgruntled artists and industry professionals are online wishing for it all to go away and never come back. The problem is... It can't. I understand that there's likely a large swath of people saying that who understand this, but for those who don't: AI, or as it should more properly be called, generative algorithms, didn't just show up now (they're not even that new), and they certainly weren't developed or invented by any of the tech bros peddling it to megacorps and the general public.

Long before ChatGPT and DALL-E came online, generative algorithms were being used by programmers to simulate natural processes in weather models, shed light on the mechanics of walking for roboticists and paleontologists alike, identified patterns in our DNA related to disease, aided in complex 2D and 3D animation visuals, and so on. Generative algorithms have been a part of the professional world for many years now, and up until recently have been a general force for good, or at the very least a force for the mundane. It's only recently that the technology involved in creating generative algorithms became so advanced AND so readily available, that university grad students were able to make the publicly available projects that began this descent into madness.

Does anyone else remember that? That years ago, somewhere in the late 2010s to the beginning of the 2020s, these novelty sites that allowed you to generate vague images from prompts, or generate short stylistic writings from a short prompt, were popping up with University URLs? Oftentimes the queues on these programs were hours long, sometimes eventually days or weeks or months long, because of how unexpectedly popular this concept was to the general public. Suddenly overnight, all over social media, everyone and their grandma, and not just high level programming and arts students, knew this was possible, and of course, everyone wanted in. Automated art and writing, isn't that neat? And of course, investors saw dollar signs. Simply scale up the process, scrape the entire web for data to train the model without advertising that you're using ALL material, even copyrighted and personal materials, and sell the resulting algorithm for big money. As usual, startup investors ruin every new technology the moment they can access it.

To most people, it seemed like this magic tech popped up overnight, and before it became known that the art assets on later models were stolen, even I had fun with them. I knew how learning algorithms worked, if you're going to have a computer make images and text, it has to be shown what that is and then try and fail to make its own until it's ready. I just, rather naively as I was still in my early 20s, assumed that everything was above board and the assets were either public domain or fairly licensed. But when the news did came out, and when corporations started unethically implementing "AI" in everything from chatbots to search algorithms to asking their tech staff to add AI to sliced bread, those who were impacted and didn't know and/or didn't care where generative algorithms came from wanted them GONE. And like, I can't blame them. But I also quietly acknowledged to myself that getting rid of a whole technology is just neither possible nor advisable. The cat's already out of the bag, the genie has left its bottle, the Pandorica is OPEN. If we tried to blanket ban what people call AI, numerous industries involved in making lives better would be impacted. Because unfortunately the same tool that can edit selfies into revenge porn has also been used to identify cancer cells in patients and aided in decoding dead languages, among other things.

When, in Greek myth, Prometheus gave us the gift of fire, he gave us both a gift and a curse. Fire is so crucial to human society, it cooks our food, it lights our cities, it disposes of waste, and it protects us from unseen threats. But fire also destroys, and the same flame that can light your home can burn it down. Surely, there were people in this mythic past who hated fire and all it stood for, because without fire no forest would ever burn to the ground, and surely they would have called for fire to be given back, to be done away with entirely. Except, there was no going back. The nature of life is that no new element can ever be undone, it cannot be given back.

So what's the way forward, then? Like, surely if I can write a multi-paragraph think piece on Tumblr.com that next to nobody is going to read because it's long as sin, about an unpopular topic, and I rarely post original content anyway, then surely I have an idea of how this cyberpunk dystopia can be a little less.. Dys. Well I do, actually, but it's a long shot. Thankfully, unlike business majors, I actually had to take a cyber ethics course in university, and I actually paid attention. I also passed preschool where I learned taking stuff you weren't given permission to have is stealing, which is bad. So the obvious solution is to make some fucking laws to limit the input on data model training on models used for public products and services. It's that simple. You either use public domain and licensed data only or you get fined into hell and back and liable to lawsuits from any entity you wronged, be they citizen or very wealthy mouse conglomerate (suing AI bros is the only time Mickey isn't the bigger enemy). And I'm going to be honest, tech companies are NOT going to like this, because not only will it make doing business more expensive (boo fucking hoo), they'd very likely need to throw out their current trained datasets because of the illegal components mixed in there. To my memory, you can't simply prune specific content from a completed algorithm, you actually have to redo rhe training from the ground up because the bad data would be mixed in there like gum in hair. And you know what, those companies deserve that. They deserve to suffer a punishment, and maybe fold if they're young enough, for what they've done to creators everywhere. Actually, laws moving forward isn't enough, this needs to be retroactive. These companies need to be sued into the ground, honestly.

So yeah, that's the mess of it. We can't unlearn and unpublicize any technology, even if it's currently being used as a tool of exploitation. What we can do though is demand ethical use laws and organize around the cause of the exclusive rights of individuals to the content they create. The screenwriter's guild, actor's guild, and so on already have been fighting against this misuse, but given upcoming administration changes to the US, things are going to get a lot worse before thet get a little better. Even still, don't give up, have clear and educated goals, and focus on what you can do to affect change, even if right now that's just individual self-care through mental and physical health crises like me.

[gla-courses]

B Tech Computer Science Engineering: A Gateway to Future-Ready Careers

In the digital age, where every business is powered by software and every innovation relies on computing, Computer Science Engineering has emerged as one of the most sought-after disciplines. A B Tech in Computer Science Engineering (CSE) offers a powerful launchpad for students to dive into fields such as artificial intelligence, data science, cybersecurity, cloud computing, and software development.

Why Choose B Tech in Computer Science Engineering?

Computer Science Engineering is not just about coding. It’s a multidisciplinary field that blends theory and practical knowledge to solve real-world problems. From designing mobile apps to building algorithms that run search engines, the impact of CSE graduates is felt across all industries. Whether you're passionate about building futuristic technologies or solving global challenges using tech, B Tech CSE offers the tools to make it happen.

B Tech Computer Science Engineering Admission: The First Step

The journey begins with the B Tech Computer Science Engineering Admission process, which is primarily based on merit and entrance examinations. Most top universities and engineering colleges in India accept scores from exams like JEE Main, JEE Advanced, State-level entrance exams (like MHT CET, WBJEE), or institute-specific exams such as BITSAT and VITEEE.

Some private universities also conduct personal interviews or counseling sessions post-exam to assess students' aptitude and passion for technology. A strong foundation in Physics, Chemistry, and Mathematics in Class 12 is critical, as the curriculum builds on these core concepts.

B Tech Computer Science Engineering Eligibility: Are You Ready?

Before applying, it’s important to understand the B Tech Computer Science Engineering Eligibility criteria. Generally, candidates must:

Have passed 10+2 or equivalent examination from a recognized board.

Have studied Physics, Chemistry, and Mathematics as core subjects.

Score a minimum of 50% to 75% aggregate marks, depending on the institution.

Qualify in the relevant entrance examination (national, state, or university level).

Some reputed institutions may also consider students who have an excellent academic background and a demonstrated interest in computer science through projects, Olympiads, or coding competitions.

B Tech Computer Science Engineering Fees: Investment in a Bright Future

When it comes to pursuing engineering, affordability and ROI matter. The B Tech Computer Science Engineering Fees can vary significantly depending on the type of institution. Here's a general overview:

Government Colleges (IITs, NITs, State Universities): ₹50,000 to ₹2,00,000 per year.

Private Colleges and Deemed Universities: ₹1,50,000 to ₹4,00,000 per year.

Foreign Institutions or Dual Degree Programs: ₹8,00,000 to ₹20,00,000 annually.

Scholarships are widely available based on merit, need, entrance exam scores, and reserved categories. Many institutions also offer education loan support to ease financial stress.

Curriculum Highlights

The B Tech CSE curriculum is structured to keep pace with evolving technologies. Core subjects include:

1. Data Structures and Algorithms

2. Operating Systems

3. Computer Networks

4. Database Management Systems

5. Software Engineering

6. Artificial Intelligence

7. Machine Learning

8. Cloud Computing

9. Cybersecurity

Hands-on labs, hackathons, internships, and project-based learning are an integral part of the curriculum, ensuring students gain real-world exposure.

B Tech Computer Science Engineering Placement: Launching High-Flying Careers

One of the biggest reasons students opt for this course is the excellent B Tech Computer Science Engineering Placement record. Top-tier companies across the globe hire CSE graduates in large numbers. Some of the frequent recruiters include:

1. Google

2. Microsoft

3. Amazon

4. Infosys

5. TCS

6. Wipro

7. IBM

8. Accenture

9. Adobe

10. Oracle

The average salary packages range from ₹6 LPA to ₹20 LPA, with top talent from IITs and NITs bagging offers that go beyond ₹50 LPA. Domains such as full-stack development, AI/ML, DevOps, and data analytics offer tremendous growth potential. Moreover, many students also opt for higher education abroad or launch their own startups, riding the wave of India's booming digital economy.

Choosing B Tech in Computer Science Engineering is more than selecting a degree—it's choosing a future immersed in innovation, creativity, and impact. With a clearly defined B Tech Computer Science Engineering Admission process, fulfilling eligibility criteria, transparent fee structures, and robust placement opportunities, this course has proven to be a launchpad for tomorrow’s tech leaders. If you are curious, driven, and love solving problems, then this is your time to code your destiny.

[integraluniversity]

B. Tech CSE Data Science and Artificial Intelligence colleges in Lucknow

The domains of artificial intelligence (AI) and data science are growing quickly in today's data-driven environment, which attracts prospective engineers to pursue careers in them. Students who choose to specialize in Data Science and Artificial Intelligence (AI) and pursue a B. Tech in Computer Science Engineering (CSE) will gain the abilities and information necessary to succeed in these innovative fields. This post examines the top universities in Lucknow that provide this particular program to assist you in making an informed decision.

[arunseodelhi]

Data Science and Artificial Intelligence College - Lucknow

Integral University is among the top B. Tech. artificial intelligence programs. It has great partnerships with numerous companies, especially in B. Tech. CSE data science and AI. More than 90% of graduates were placed in internships and full-time positions, demonstrating its remarkable track record of placing students in reputable careers.