Studying AI, ML, Robotics & Data Science

Eligibility, Courses, Specialisations, Syllabus, Scope

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

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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

Explore Top Ranked Institutes:
IITs | NITs

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 JEE 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 Vellore Institute of Technology (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)

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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

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