What are AI, ML, Robotics and Data Science?
AI or “Artificial Intelligence” refers to the technology of developing machine-simulated human intelligence to equip technological systems and devices to perform human-like tasks.
ML or “Machine Learning” is a discipline of computer science engineering and artificial intelligence involving the creation of algorithms and data to facilitate machines to learn human behaviours and trends and mimic them.
Robotics is the field of computer science and engineering concerned with the design, development, creation, and maintenance of robots, i.e., machines that mimic and replicate human actions and behaviours.
Data Science is an interdisciplinary subject employing scientific and mathematical systems, processes, patterns, and algorithms to extract and utilise useful information from raw data.
Undergraduate Degrees Offered in AI, ML, Robotics and Data Science
Candidates aspiring towards a career in AI, ML, Robotics and Data Science can opt for the following undergraduate degrees-
- Bachelor of Technology (B Tech)- 4 years
- Bachelor of Engineering (BE)- 4 years
- Bachelor of Science (BSc)- 3 years
- Bachelor of Computer Application (BCA)- 3 years
- Undergraduate Diploma
- Certificate Courses
Specialisations in AI, ML, Robotics and Data Science
Specialisations offered in AI, ML, Robotics and Data Science include the following-
- Artificial Intelligence
- Artificial Intelligence and Data Science
- Artificial Intelligence and Machine Learning
- Augmented Reality and Virtual Reality
- Automation & Robotics Engineering
- Automation and Artificial Intelligence
- Automation and Robotics
- Data Analytics
- Data Analytics and Artificial Intelligence
- Data Science
- Data Science and Artificial Intelligence
- Data Science and Engineering
- Data Science Management
- Data Science with Economics
- Data Science with Mathematics
- Data Science, Cyber Forensic
- Data Science, Mathematics, Statistics
- Decision Science
- Electronics and Computer Engineering (with AI & ML)
- Embedded Systems & Robotics
- Machine Learning
- Robotics
- Robotics and 3D Printing
- Robotics and Automation
Eligibility and Requirements for AI, ML, Robotics and Data Science
Students can enrol in AI, ML, Robotics and Data Science colleges and courses after appearing for entrance exams across the country. The eligibility criteria are as follows-
- Candidates enrolling on AI, ML, Robotics and Data Science programmes and entrances must have passed their 10+2 (or equivalent) examinations from a recognised Indian board with a minimum aggregate of 50-55% marks.
- Candidates must have chosen the science stream in their 10+2 with Computer Science, Physics, Chemistry, and Mathematics as compulsory subjects.
Admission Procedure for AI, ML, Robotics and Data Science Courses
The admission procedure for AI, ML, Robotics and Data Science colleges and courses in India is as follows-
- Candidates applying for AI, ML, Robotics and Data Science courses must qualify for the minimum eligibility to appear for the respective entrance exams. Candidates can apply for the entrance examinations by registering in the online portal and submitting the required documents.
- After appearing for the entrance exams, candidates will be shortlisted based on scores, ranks, and merit lists in the counselling session for the respective colleges/entrances. Some colleges also conduct group discussions and private interviews (GD/PI) for further screening of candidates
- In the case of merit-based admissions, candidates will be shortlisted based on their 10+2 examination scores.
- Shortlisted candidates may finalise their admission at the concerned college by paying the fees and submitting the required documents for verification.
Entrance Tests for AI, ML, Robotics and Data Science Courses
Some of the important entrance tests offering admission into undergraduate AI, ML, Robotics and Data Science courses include the following-
- Joint Entrance Examinations (JEE) Mains and Advanced- conducted by the National Testing Agency (NTA)
- Common Universities Entrance Test (CUET-UG)- conducted by the National Testing Agency (NTA)
- Delhi University Entrance Test (DUET-PG)- conducted by the National Testing Agency (NTA)
- Birla Institute of Technology and Science Admission Test (BITSAT)- conducted by BITS Pilani
- Banaras Hindu University Undergraduate Entrance Test (BHU UET)- conducted by National Testing Agency (NTA)
- Vellore Institute of Technology (VIT) Engineering Entrance Exam (VITEEE)- conducted by (VIT)
- SRM Joint Engineering Entrance Exam (SRMJEE)- conducted by SRM Institute of Science and Technology
- Manipal Entrance Test (MET)- conducted by Manipal Academy of Higher Education (MAHE)
- West Bengal Joint Entrance Examinations Board (WBJEE)- conducted by the West Bengal Joint Entrance Examinations Board
- Kalinga Institute of Industrial Technology Entrance Examination (KIITEE)- conducted by KIIT
- State Common Entrance Test Cell, Mumbai (MHCET)- conducted by Directorate of Technical Education, Government of Maharashtra
Aptitude for AI, ML, Robotics and Data Science
Students with an interest in machines and programming will find AI, ML, Robotics and Data Science the ideal study goal for them. Students may gauge their aptitude for AI, ML, Robotics and Data Science with the following criteria:
- Analytical and critical thinking
- Strong mathematics and science foundation
- Numeracy
- Technical knowledge of hardware and software systems
- Technological prowess
- Problem-solving and resolution skills
- Organisational skills
- Knowledge of programming languages
- Logical reasoning
- Teamwork
AI, ML, Robotics and Data Science Subjects
AI, ML, Robotics and Data Science courses comprise subjects and topics such as-
- Algorithm Systems
- Artificial Intelligence
- Machine Learning Methodologies
- Operating Systems
- Coding
- Programming Concepts
- Mathematics and Statistics
- Data Analysis
- Applied Mathematics and Informatics
- Computational Theory and Logic
- Information Theory
- Systems and Architecture
- Software Development
- Hardware Development
- Robotics Engineering
- Computer Modelling
- Database Management
- Foundational Mathematics
- Machine Learning Algorithms
Top AI, ML, Robotics and Data Science Specialisations for the Future
AI, ML, Robotics and Data Science have immense prospects in a rapidly-digitalised world. Top AI, ML, Robotics and Data Science specialisations for the future include-
- Augmented Reality and Virtual Reality
- Automation and Robotics
- Data Science and Artificial Intelligence
- Big Data Engineering
- Business Intelligence Development
- Navigational AI
- Natural Language Processing (NLP) Engineering
Post-graduate Study/Research Opportunities in AI, ML, Robotics and Data Science
After completing undergraduate degrees, candidates can further their AI, ML, Robotics and Data Science study goals through postgraduate and research degrees.
The eligibility criteria for pursuing postgraduate courses is completing an undergraduate degree in the specialisation/course of choice from a recognised university with a minimum aggregate of 55% marks.
Popular postgraduate degrees in AI, ML, Robotics and Data Science include-
- Master of Technology (M Tech)- 2 years
- Master of Engineering (ME)- 2 years
- Master of Science (MSc)- 2 years
- Master of Computer Applications (MCA)- 2 years
- Post-graduate Diploma- 9 months to 2 years
- Master of Philosophy (M Phil)- 2 years
- Doctorate of Philosophy (PhD)
Important entrance exams for admission into postgraduate AI, ML, Robotics and Data Science programmes include-
- Graduate Aptitude Test in Engineering (GATE)- conducted by the Indian Institutes of Science (IISc) and Indian Institutes of Technology (IITs)
- Indian Institutes of Technology Joint Admission test for Masters (IIT-JAM)- conducted by IIT Guwahati
- Common Universities Entrance Test (CUET-PG)- conducted by National Testing Agency (NTA)
- Delhi University Entrance Test (DUET-PG)- conducted by the National Testing Agency (NTA)
- Jawaharlal Nehru University Entrance Examination (JNUEE)- conducted by JNU
- Banaras Hindu University Postgraduate Entrance Test (BHU PET)- conducted by National Testing Agency (NTA)
- Tata Institute of Social Sciences National Entrance Test (TISS-NET)- conducted by TISS
Career prospects/Placements in AI, ML, Robotics and Data Science
AI, ML, Robotics and Data Science are promising study goals and highly coveted streams in science and technology. AI, ML, Robotics and Data Science offer several career avenues and job prospects in both, the public and private sectors. Graduates receive placement offers from prominent and reputed companies and conglomerates visiting their college during campus placement programmes organised by the training and placement cell.
Popular and coveted career prospects in AI, ML, Robotics and Data Science include the following-
- Data Scientist
- Machine Learning Engineer
- Artificial Intelligence Engineer
- Robotics Scientist/Engineer
- AI Coder
- Business Intelligence Developer
- Software Developer
Starting Salaries in AI, ML, Robotics and Data Science
Starting salaries in AI, ML, Robotics and Data Science range between INR 6 to 10 LPA, and can go as high as 20-30 LPA for experienced professionals and academicians.
Subjects Similar to AI, ML, Robotics and Data Science
Candidates with a propensity for AI, ML, Robotics and Data Science might be interested in similar subjects like-
- Computer Application
- Data Analytics
- Electrical and Telecommunications Engineering
- Bioinformatics
- Electronics Engineering
- Big Data
- Game Design
- IT services
- E-Commerce
- Enterprise Resource Planning (ERP)
- Cloud Computing