Imagine a world without personalised recommendations, smart assistants, or real-time fraud detection—pretty hard, right? That’s because data is the fuel driving today’s digital revolution. Whether it’s healthcare, finance, or even entertainment, every industry relies on data-driven decision-making to boost efficiency and accuracy.
Artificial Intelligence (AI) and Data Science are at the heart of this transformation, making automation smarter, predictions sharper, and technology more intuitive. With companies racing to harness the power of AI, skilled professionals in these fields are more in demand than ever. If you’re looking for a career that blends innovation, problem-solving, and endless opportunities, this might just be your perfect fit!
B.Tech. AI and Data Science is an undergraduate program that focuses on equipping you with expertise in machine learning, deep learning, big data analytics, and AI-driven solutions. This program integrates computational techniques, statistical models, and programming skills to train you in designing intelligent systems and handling vast amounts of data effectively.
| Particulars | Details |
| Course Name | B.Tech. in Artificial Intelligence and Data Science |
| Duration | 4 years |
| Eligibility | 10+2 with Physics, Chemistry, and Mathematics |
| Admission Process | Entrance exam (JEE Main or university-level) |
| Average Annual Fees | INR 50,000 – INR 7 Lakhs |
| Key Subjects | Machine Learning, Data Mining, Python, Big Data |
| Career Options | Data Scientist, AI Engineer, ML Engineer, Analyst |
| Average Starting Salary | INR 5 – 25 LPA |
A degree in AI and Data Science provides you with multiple learning benefits that include:
The curriculum is designed to provide a strong foundation in AI, machine learning, and data science. The B.Tech. AI and Data Science syllabus typically includes:
| Semester | Core Subjects |
| 1st | Mathematics for AI, Programming Fundamentals, Physics, Engineering Graphics |
| 2nd | Data Structures, Probability & Statistics, Computer Organisation, Database Management Systems |
| 3rd | Machine Learning, Artificial Intelligence, Big Data Analytics, Operating Systems |
| 4th | Deep Learning, Cloud Computing, Internet of Things (IoT), Natural Language Processing |
| 5th | Reinforcement Learning, Neural Networks, AI in Healthcare, Ethics in AI |
| 6th | Research Methodology, AI Project Development, Business Analytics, Robotics |
| 7th & 8th | Industrial Training, Capstone Project, Advanced AI Topics, Electives |
Following are some of the key subjects in B.Tech. AI and Data Science curriculum:
Here are some of the Top Books for B.Tech. AI and Data Science students:
| Course Duration | Details |
| Total Duration | 4 years |
| Number of Semesters | 8 semesters |
| Special Options | Some universities offer accelerated pathways or additional specialisations. |
To enroll in a B.Tech. AI and Data Science course, candidates generally need to meet the following requirements:
| Eligibility Criteria | Details |
| Educational Qualification | 10+2 (or equivalent) with Physics, Mathematics, and Computer Science as core subjects. |
| Minimum Aggregate Score | Varies by university; typically between 50-75%. |
| Entrance Exams | JEE Main, state-level engineering entrance exams, or university-specific entrance tests. |
| Entrance Exam | Conducting Body | Accepted By |
| JEE Main | National Testing Agency (NTA) | NITs, IIITs, and many other top universities |
| CUET (UG) | National Testing Agency (NTA) | Central and many private universities |
These following strategies will help you succeed in B.Tech AI and Data Science entrance examinations:
Understand the Exam Pattern and Syllabus
Strengthen Core Subjects
Practice with Mock Tests and Previous Papers
Maintain Physical and Mental Well-being
The admission process usually involves:
| Step | Description |
| Application Submission | The applicants must complete the application either online or through paper-based submission. |
| Entrance Exam | All applicants need to complete corresponding entrance examinations. |
| Merit List & Counseling | Universities perform student selection through scoring systems while providing counseling services. |
| Document Verification & Enrollment | The chosen candidates must fulfill the requirements and finish the enrollment procedures. |
The B.Tech. AI and Data Science fee varies based on the institution. On average:
| Type of Institution | Annual Fees |
| Government Colleges | 50,000 – 1.5 Lakhs |
| Private Universities | 2 – 5 Lakhs |
| Deemed Universities | 3 – 7 Lakhs |
Scholarships and financial aid options are available for meritorious and economically weaker students.
Graduates of this program can explore diverse career opportunities, including:
| Career Role | Industries Hiring |
| Data Scientist | IT, Finance, Healthcare, E-commerce |
| Machine Learning Engineer | Tech, Automotive, Fintech, Healthcare |
| AI Research Scientist | Academia, R&D Labs, Multinational Tech Firms |
| Data Analyst | Retail, Telecom, Consulting, Marketing |
| Big Data Engineer | Banking, Insurance, E-commerce |
| Business Intelligence Analyst | Logistics, Media, IT Services |
| Software Engineer (AI/ML) | Startups, Product-based Companies, EdTech |
| Computer Vision Engineer | Robotics, Surveillance, Healthcare Tech |
| Natural Language Processing (NLP) Engineer | Chatbot Companies, Language Tech, Customer Support |
The salary opportunities for professionals working in AI and Data Science are highly competitive:
| Job Role | Average Salary per annum |
| Data Scientist | 6 – 15 LPA |
| AI Engineer | 8 – 20 LPA |
| Machine Learning Engineer | 7 – 18 LPA |
| Big Data Analyst | 5 – 12 LPA |
| Research Scientist | 10 – 25 LPA |
At The Apollo University, you can join their top-tier B.Tech. CSE- Artificial Intelligence and Data Science programme tailored to meet industry demands. The programme primarily focuses on a plethora of courses that cover core technologies like Artificial Intelligence, Machine Learning, Data warehouse, Scripting Language, Data Mining, Mathematical Modelling and Product Development.
You can acquire the skills to make informed decisions based on data analysis while gaining in-depth knowledge of statistics, data science, computer science, and logic. As data science is closely linked to artificial intelligence, you will also explore its integration with machine learning.
An undergraduate degree in B.Tech. AI and Data Science provides you access to a successful career path amid the AI and data analytics revolution, which controls many industries. Considered the cornerstone of a modern-day technological revolution in sectors across many industries, artificial intelligence and data science are the key drivers of these transformations. If you wish to enable AI-driven innovations and have a major influence in a quickly changing field, The Apollo University would be the perfect platform to get cutting-edge skills and industry-oriented knowledge. Do not wait; step into an enriching career today!
1.What is the future scope of B.Tech. AI and Data Science?
The job market for professionals trained in B.Tech. AI and Data Science is huge. Professionals working in this field currently face high demand from employers because it provides both excellent earning potential and research projects.
2.Is coding necessary for B.Tech. AI and Data Science?
The study of B.Tech. AI and data science requires you to learn programming concepts because coding serves as an indispensable element of this program. The field of AI and Data Science depends on programming languages that include Python, R and Java.
3.What entrance exams are required for admission?
Prospective B.Tech. students can access entrance exams as pathways to obtain admission. Program admission for B.Tech. can be gained through JEE Main or university-specific exams and state-level entrance tests.
4.Can I get a scholarship for this course?
This programming education comes with scholarship availability for qualified applicants. Various universities grant scholarships to their prospective students based on merit achievements and financial need.
5.What industries hire AI and Data Science graduates?
Multiple industries seek to employ students who have finished their training in this field. Industries such as healthcare, finance, e-commerce, robotics, and cybersecurity actively hire AI and Data Science professionals.
