Marking a great trail of development and advancement, the Artificial Intelligence and Data Science industry has made great progress in recent years. Today, the AI industry has grown remarkably, crossing a global industrial value of USD 184 billion while the data science industry has a global market value of USD 103.95 billion by 2023.
Such massive progress in the industry has expanded its career grounds on a significant scale, and thus it is time for students to make a successful career in it.
Taking up a B.Tech AI and Data Science course is the right way to a career in the AI and Data Science industry. Get to know the essential skills for this course and career via this blog.
| TABLE OF CONTENTS: What is B.Tech in AI and Data Science? Course Information of B.Tech in AI and Data Science What are the essential skills for B.Tech in AI and Data Science Career? Career Opportunities after B.Tech in AI and Data Science Conclusion FAQs |
What is B.Tech in AI and Data Science?
B.Tech in Data Science and AI is a combinational cross disciplinary course that offers in-depth knowledge about artificial intelligence and data science in the technological arena of the world.
This course involves inculcating knowledge on data extraction strategies, algorithms, methodologies, and incorporation of acquired data in developing automated systems and robotics using artificial intelligence.
Here is a further glimpse into B.Tech in AI and Data Science course information at B.Tech in AI and Data Science colleges.
Course Information of B.Tech in AI and Data Science:
| Course Name | B.Tech AI and Data Science |
| Course Level | Undergraduate level |
| Duration | 4 years |
| Module | The module of this course is designed with theory classes, lab training sessions, practical exposure, industry visits, internships, and much more to provide students with comprehensive knowledge of the AI field. |
| Eligibility Criteria | The basic eligibility criteria to pursue B.Tech AI and Data Science at top B.Tech in Data Science colleges are as follows: Candidates should be a minimum of 17 years of age.Candidates should have completed 10+2 with physics, chemistry, and mathematics as compulsory subjects and one optional science subject.Candidates should have scored a minimum of 50% aggregate in 10+2 at any recognized board of education. Candidates who have completed a diploma in computer science or AI can also apply for B.Tech in AI, while certain colleges consider them for admission to 2nd year as lateral entry. |
| Admission Process | Generally, admission to B.Tech in AI and Data Science at leading B.Tech Data Science colleges in India is merit-based considering a 10+2 score of the candidates, or entrance-based considering entrance exams such as JEE MAINS, etc. Certain top colleges also conduct their own entrance tests such as UBSAT and many others. |
| Core subjects | Computer System ArchitectureData and Analysis of AlgorithmsData Communications and Computer NetworksWeB.TechnologiesApplied Statistical Analysis for AI and MLNeural NetworksPattern RecognitionMachine Learning Language Processing |
| Elective Subjects | RoboticsAutomataDeep LearningSensorsInternet of ThingsC/C++JavaRoboticsOOPS LabWKSP 2.0 |
With a detailed idea about the B.Tech in AI and Data Science course at the best colleges for artificial intelligence, let us explore the essential skills for pursuing this course and making a career in it.
What are the essential skills for B.Tech in AI and Data Science Career?
As the field of AI and Data Science is massively growing, it holds a great demand for skilled professionals. So, as a B.Tech student pursuing a career in AI and Data Science, you should develop the following skills for a better career.
Technical Skills:
Technical skills are the core requirement for a promising career. Here are the technical skills that are expected in students from the best universities for artificial intelligence.
| Programming Skills | Programming languages such as C, C++, Java, Python, R, SQL, etc. |
| Mathematical Skills | Mathematical concepts such as Statistical Analysis, Linear Algebra, Calculus, Probability, etc. |
| Machine Learning Skills | Machine learning concepts such as supervised and unsupervised learning, deep learning, and reinforcement learning. |
| Data Handling and Processing Skills | Skills such as data cleaning and preprocessing, data visualization, big data technologies, etc. |
| Software Skills | Knowledge of tools such as GitHub, etc. |
Following technical skills, certain other skills are essential for the sustenance and development of a career in the AI and Data Science industry.
Soft Skills:
Soft skills are nothing but professional managerial skills that are considered valuable for reaching higher heights in the AI and data science industry.
So, here are the prominently needed soft skills for B.Tech graduates from any private university in Maharashtra.
- Leadership skills
- Team management skills
- Project management skills
- Analytical skills
- Critical thinking skills
- Communication skills
- Presentation skills
- Negotiation skills
- Problem Solving skills
- Decision Making skills
- Conflict resolution skills
These are the essential skills for students planning for a career in the AI and Data Science industry after their B.Tech AI and Data Science degree.
Beyond these, students should always stay updated with the latest innovations, technologies, and trends that are emerging in the AI and Data Science industry for successful careers in the industry.
Following these words and developing skills will help in exploring a great range of career opportunities in the AI and Data Science Industry which are listed below.
Career Opportunities after B.Tech in AI and Data Science:
| Job Roles | Average Salary in India(INR) | Average Salary Abroad(considered US/USD) |
| Computer Vision Engineer | 6.9 LPA | 120,847 |
| Data Analyst | 6.24 LPA | 70,676 |
| Data Scientist | 7.3 LPA | 124,693 |
| Data Engineer | 8.4 LPA | 128,631 |
| Machine Learning Engineer | 6.7 LPA | 150,186 |
| Big Data Architect | 24 LPA | 160,149 |
| Business Intelligence Developer | 6.3 LPA | 100,635 |
| Robotics Programmer | 3.45 LPA | 75,689 |
| Software Engineer | 6.94 LPA | 108,807 |
| Information and Multimedia Designer | 3.5 LPA | 56,792 |
| Medical Information Scientist | 5.0 LPA | 103,784 |
| IT Specialist | 7 LPA | 58,700 |
| Information Network Manager | 7.88 LPA | 85,892 |
Conclusion:
As knowledge and skills are always the fundamental foundation of a career, it is time for students pursuing B.Tech AI and Data Science to develop and mold themselves with the same for a better career in the AI and Data Science industry.
Make your way into the AI industry with full confidence once you acquire and develop relevant skills.
FAQs:
- What are the skills required to pursue a career in AI?
- Programming skills
- Coding skills
- Software skills
- Machine Learning skills
- What are the best AI skills to learn in 2024?
- Deep learning
- Natural Language Processing (NLP)
- Computer Vision
- Reinforcement Learning
- Which is the most demanding AI career?
The most demanding AI career is a machine learning engineer with an average salary of INR 17 LPA in India.
- What is the scope of AI and data science?
Scope for B.Tech in AI is notable in various industry verticals such as entertainment, healthcare industry, mechanical engineering, etc where a wide range of job roles are available for AI graduates.
