B. Tech Artificial intelligence and data science include two topics that are rapidly transforming the corporate landscape. The power of data science and artificial intelligence is being tapped by all organizations, from small and medium-sized firms to global corporations.
By 2030, the global GDP would have increased by an estimated $15.7 trillion, or 26%, according to PwC’s Global Artificial Intelligence Study. This statistic is clear from the fact that experts who graduated from B. Tech artificial intelligence colleges will rule the future. In the view of growing demand for tech engineers, B. Tech computer science colleges have a separate department for engineering in the field of AI, ML, DS, and robotics.
The employment market will place a great demand on graduates of degree programs like B. Tech AI and Data Science from B. Tech computer science colleges. Google, Facebook, Microsoft, and Twitter, some of the largest corporations, are demanding and will continue to demand candidates who fit these criteria.
Despite the fact that there are a number of careers to pursue after earning a B. Tech artificial intelligence and data science, we’ll list the top 5 below. Continue reading to learn more about B. Tech artificial intelligence syllabus, eligibility criteria, entrance exams, careers, Job scope, fee structure, and admission process, if you want to pursue a degree program from B. Tech artificial intelligence and data science colleges.
Major Highlights of B. Tech Artificial Intelligence and Data Science
| Course level | Undergraduate |
| Duration | 4 years |
| Eligibility | At least 50% marks in 12th standard in science stream from a recognized board |
| Average Fee | 50,000- 1,50000 yearly |
| Average Salary | 4 lakh to 6 lakh annually |
| Admission Criteria | Admissions are done on the basis of merit and entrance exams |
Why Choose a B. Tech Artificial Intelligence and Data Science?
Graduates who have completed a B. Tech AI and Data Science from top B. Tech computer science colleges can find success in the fields of data science and artificial intelligence.
This course is becoming more and more popular every day. Artificial intelligence and data science have gone through paradigm shifts in the last couple of decades, making it a perfect platform for young engineers to start their careers in the technology field.
It might be hard for some to cope with the complex nature of the subject but the end results will be fruitful. In the modern world, careers associated with AI and DS are limitless and comes with a lucrative salary package and job security that never goes out of date.
After completing this program, most students can find themselves working in large software companies or IT organizations as data engineers or data scientists with a modest salary package, which could be a good start for their career.
Admissions in the B. Tech Artificial Intelligence and Data Science colleges
The admission criteria for B. Tech AI and Data Science in B. Tech artificial intelligence and data science colleges are based on both the entrance exam results and the marks attained in the higher secondary exam.
Students may apply for admission to this degree after passing their 10+2 science test with at least 50% of the possible points.
Some institutions have their own entrance tests, while others accept results from regional or national entrance exams like the Joint Entrance Exam (JEE).
Students are admitted to this course based on these qualifying requirements.
B. Tech Artificial Intelligence and Data Science Cut-off for Top IITs (JEE Advanced)
The cut-off is the score needed to be admitted to the Bachelor of Technology program. The opening and closing ranks for the cut-off for the best IITs for the B. Tech in AI and Data Science are shown below. These rankings come from the final round of the 2022 JOSAA Counseling.
| Name of the Institute | Opening Rank | Closing Rank |
| IIT Bhilai | 3953 | 5738 |
| IIT Jodhpur | 2201 | 3209 |
| IIT Hyderabad | 434 | 623 |
B. Tech Artificial Intelligence Syllabus with a Focus on Data Science
| First Year | Second Year | Third Year | Fourth Year |
| Differential Calculus and Geometry | Statistics | CEO and Leadership Training / Social Entrepreneurship | General Elective II |
| English / Arabic / Mandarin / German / Japanese | Humanities Elective | General Elective I | Software Process and project management |
| Physics | Oral Communication | Communication & soft skill | Predictive Analytics |
| Engineering Graphics | Data Structures and Algorithms | Foundation of data science | Deep Learning Algorithm and Architectures |
| Engineering Design | Fundamentals of Operating System | Artificial Neural Networks | Model Deployment Laboratory/ Mini Project |
| Basic Engineering Practices Laboratory | Principles of Software Engineering | Cloud Computing Services | Internship |
| Programming in C and C++ 3 1 | Database Management and SQL | Data Visualization | Programme Elective ##1 |
| C and C++ Lab | Data structures and Algorithms Laboratory | Pattern Recognition | Project Work |
| Partial Differential Equations and Transforms | Database Management and SQL Laboratory | Machine Learning Techniques | – |
| Physics Elective | Probability | Machine Learning Laboratory | – |
| Basic Engineering Mechanics | Humanities Elective II | Data Visualization Laboratory | – |
| Environmental Studies | Written Communication | CEO and Leadership Training / Social Entrepreneurship | – |
| Introduction to Artificial Intelligence | Networking Methodologies | Statistical Methods for Data Analysis | – |
| Programming in Python Language | Design and Analysis of Algorithms | Communication and soft skill | – |
| Digital Logic Design | Knowledge Engineering | Data Analytics | – |
| Python Programming Laboratory | Data warehousing and data mining | Fundamental concepts of IoT | – |
| – | Design and Analysis of Algorithms Laboratory | Exploratory Data Analysis | – |
| – | Data mining Tools Laboratory | Natural Language Processing | – |
| – | – | Data Security | – |
| – | – | Data Analytics Laboratory | – |
| – | – | Mobile App Laboratory | – |
Future Scope of B. Tech Artificial Intelligence and Data Science
Jobs are becoming more and more available as the demand for graduates in B. Tech artificial intelligence and data science rises quickly.
The business, telecommunication, e-commerce, healthcare, climatology, social networking companies, biotechnology, genetics, research and development, IT industry, IT-enabled service industries, banking, government agencies, insurance, aerospace, etc. are just a few of the career opportunities or scopes available after pursuing a B. Tech artificial intelligence and data science degree.
After graduating, students have the option of continuing their studies in fields including artificial intelligence and data science. Even some students choose to get ready for tough exams for post-graduation.
Job Roles
- Data Scientist
- Data Analyst
- Machine Learning Engineer
- Data Engineer
- Big Data Engineer
- Data Architect
- Database Administrator
- Business Intelligence Analyst
- Statistician
Conclusion
Since engineering students frequently enroll in B. Tech artificial intelligence and Data science degree, there are numerous B. Tech computer science colleges that provide B. Tech artificial intelligence and data science both in India and abroad. Young engineers now have prospects thanks to the numerous job options, services, and product industries that these fields have opened up.
