Intelligent Systems Course Details - Fees, Subjects, Syllabus, Duration, Eligibility, Career Scope
Degrees offered: B.E /B.Tech, B.Sc., M.Sc., Ph.D, M.E /M.Tech.
What is Intelligent Systems
Intelligent Systems is a course that combines elements of different subjects like computer science, artificial intelligence, engineering, to create smart machines that are capable of independent decision-making and problem-solving. The Intelligent Systems course is designed to provide students with the principles and techniques involved in developing different systems for various industries. The Intelligent Systems course duration is four years for undergraduate degree programmes and two years for postgraduate degree programmes. Intelligent Systems course fees can vary depending on the type of institution and the degree programme they are pursuing.
Highlight: Intelligent Systems
Branch Name | Intelligent Systems |
Degree | B.Tech, M.Tech, B.Tech M.Tech dual degree, B.Tech MBA dual degree |
Duration | UG: 4 years PG: 2 years B.Tech & M.Tech dual degree: 5 years |
Eligibility | UG: 10+2 PG: Bachelor’s degree |
Admission Process | Admission Examination/ Direct Admission |
Top Entrance Exams | JEE Main, JEE Advanced, GATE |
Average Course Fees | Rs. 5 Lakhs |
Top Colleges | Manipal University, Jaipur, GD Goenka University, Gurgaon, MSRUAS Bangalore, CMR University, Bangalore |
Career Options | Machine Learning Engineer, Data Scientist, Artificial Intelligence (AI) Researcher, Robotics Engineer |
Average Salary | Rs. 6.4 LPA |
Recruiting Companies | TCS (Tata Consultancy Services), Infosys, IBM, Wipro, Tech Mahindra |
Specialisation or Similar Ones
An Intelligent Systems course offers several key specialisations, allowing students to focus on specific aspects of these technologies. Some of the popular Intelligent Systems specialisations include:
Artificial Intelligence
Machine Learning
Robotics
Computer Vision
Natural Language Processing
Below we have mentioned the major UG and PG programmes in Intelligent Systems and other related course:
B.Tech Computer Science and Engineering Hons with Specialization in IoT and Intelligent Systems | B.Tech Intelligent Systems |
B.Tech and M.Tech Intelligent Systems Integrated | M.Tech Intelligent Systems and Analytics |
B.Tech and M.Tech in Vision and Intelligent Systems | M.Tech Intelligent Systems |
M.Tech Software Engineering and Intelligent Systems | B.Tech MBA Intelligent Systems and Robotics |
B.Tech and M.Tech in Intelligent Systems and Robotics | M.Tech Machine Learning and Intelligent Systems |
Top Intelligent Systems Colleges in India
Intelligent Systems courses are offered by a number of public and private universities and colleges. Intelligent Systems fees are mostly based on the degree programme which is chosen by the student, type and location of the college. Some of India's top Intelligent Systems colleges are listed in the table below.
Colleges | Fees |
Rs. 75,500 | |
Rs. 10.58 Lakhs | |
Rs. 2.29 Lakhs | |
Rs. 13.70 Lakhs | |
- | |
Rs. 1.08 Lakhs | |
Rs. 1.24 Lakhs | |
- | |
- | |
- |
Top Private Intelligent Systems Colleges in India
Intelligent Systems courses are offered by a number of private universities and colleges in India. Intelligent Systems admission is offered based on previous academic achievements and the results of the Intelligent Systems entrance examinations. The table below lists some of India's best private Intelligent Systems colleges.
Colleges | Fees |
Manipal University, Jaipur | Rs. 13.70 Lakhs |
GD Goenka University, Gurgaon | - |
MSRUAS Bangalore | - |
CMR University, Bangalore | - |
- | |
Rs. 5.02 Lakhs | |
Faculty of Engineering and Technology, Jain University, Bangalore | Rs. 4.40 Lakhs |
Rs. 3.46 Lakhs | |
- |
Top Government Intelligent Systems Colleges in India
In India, there are many government universities and colleges that offer Intelligent Systems courses. Prior academic achievements and entrance examination scores are used to determine admission to Intelligent Systems courses. India's best government Intelligent Systems colleges are listed in the table below.
Colleges | Fees |
IIT Mandi | Rs. 75,500 |
IIT Kharagpur | Rs. 10.58 Lakhs |
IIIT Allahabad | Rs. 2.29 Lakhs |
Jadavpur University, Kolkata | Rs. 1.08 Lakhs |
DIAT Pune | Rs. 1.24 Lakhs |
Gautam Buddha University, Greater Noida | - |
Eligibility Criteria (UG & PG) of Intelligent Systems
To be eligible for pursuing Intelligent Systems courses at the undergraduate level in India, students need to have completed their 10+2 in the Science stream with Physics, Chemistry, and Mathematics as core subjects. They must appear for entrance examinations like JEE Main, JEE Advanced to secure admission to top engineering colleges. For admission to postgraduate degree programmes, candidates must have a B.Tech or B.E. degree in a relevant field, such as Computer Science, Electronics, or Electrical Engineering. Students need to appear for an entrance examination like the GATE for admission to postgraduate degree programmes.
Eligibility Criteria UG Courses
Students who want to pursue a Bachelor's degree in Intelligent Systems, candidates must meet the following eligibility criteria:
Students need to pass 10+2 with Physics, Chemistry, and Mathematics as core subjects from a recognised board in India.
Students should have at least 50 per cent of their 10+2.
They need to appear for entrance examinations, such as JEE Main, JEE Advanced entrance exams.
Top Entrance Exams for UG Courses
JEE Main: Joint Entrance Examination Main or JEE Main is a national-level examination conducted by the National Testing Agency (NTA) for admission to various engineering courses, including Intelligent Systems, at NITs, IIITs, and other government and private engineering colleges.
JEE Advanced: Joint Entrance Examination Advanced or JEE Advanced is a national-level examination conducted by the seven IITs and IISc Bangalore for admission to their B.Tech programmes, including Intelligent Systems and related fields.
Eligibility Criteria PG Courses
Students should complete a bachelor’s degree programme to pursue a postgraduate degree programme in Intelligent Systems in India. Candidates must follow the below eligibility criteria:
Students need to complete undergraduate degree programmes in Computer Science, Information Technology or Electronics from a recognised university in India.
Aspirants should score at least 50 per cent in their undergraduate degree programmes.
Students need to appear for the entrance examination and also sit for the counselling process.
Top Entrance Exams for PG Courses
GATE: Graduate Aptitude Test in Engineering or GATE is a national-level entrance examination conducted by the IITs and IISc Bangalore for admission to postgraduate degree programmes in Intelligent Systems courses.
College Predictors VIEW ALL
Scope of Intelligent Systems in India and Abroad
The future scope of intelligent systems is vast and encompasses diverse industries. Intelligent Systems can enhance patient care, diagnose diseases, and help with medical research through AI-driven diagnostics, precision medicine, and predictive analytics. Financial institutions utilise Intelligent Systems to automate processes, detect fraud, assess risk, and personalise customer experiences, enabling more efficient operations and better decision-making. Intelligent Systems play a crucial role in autonomous vehicles, traffic management, route optimization, and predictive maintenance, improving safety and efficiency in transportation networks. AI-enabled Intelligent Systems help in energy optimization, demand forecasting, renewable energy integration, and smart grid management, contributing to sustainable energy practices.
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Course Subjects
Intelligent Systems courses are offered in many private and government colleges in India. Intelligent Systems courses are offered in various degree programmes, such as B.Tech, M.Tech, B.Tech M.Tech dual degree, B.Tech MBA dual degree programmes, Diploma courses. In this section we have mentioned the Intelligent Systems syllabus for undergraduate and postgraduate courses.
Intelligent Systems Syllabus for UG course
The undergraduate degree programme of an Intelligent Systems course typically spans eight semesters. In the table below, we have mentioned the major topics of the UG syllabus for the Intelligent Systems course:
Mathematics | Physics |
Chemistry | Programming Fundamentals |
Engineering Graphics | Advanced Mathematics |
Data Structures | Object-Oriented Programming |
Digital Electronics | Signals & Systems |
Computer Organization & Architecture | Discrete Mathematics |
Probability & Statistics | Linear Algebra |
Operating Systems | Database Management Systems |
Computer Networks | Design & Analysis of Algorithms |
Artificial Intelligence | Machine Learning |
Robotics | Natural Language Processing |
Computer Vision | Neural Networks |
Deep Learning | Reinforcement Learning |
Internet of Things | Cognitive Computing |
Swarm Intelligence | Human-Robot Interaction |
Evolutionary Computing | Bio-inspired Computing |
Intelligent Systems Syllabus for PG Course
The postgraduate degree programme of Intelligent Systems course generally includes the following subjects, aimed at providing a comprehensive understanding of the field. In the table below, we have mentioned the major topics of the PG syllabus of Intelligent Systems course:
Advanced Linear Algebra | Probability & Statistics |
Optimization Techniques | Research Methodology |
Advanced Robotics | Natural Language Processing |
Computer Vision | Reinforcement Learning |
Cognitive Computing | Neural Networks |
Human-Robot Interaction | Deep Learning |
Careers in Intelligent Systems
Intelligent Systems is a combination of computer science, artificial intelligence, and machine learning, and has witnessed remarkable growth in recent years. With advancements in technology and the increasing demand for intelligent automation, pursuing a career in Intelligent Systems offers numerous opportunities for aspiring professionals. In the table below, we have discussed several career options available after completing an Intelligent Systems course.
A machine learning engineer designs and develops algorithms that enable systems to learn and make predictions based on data analysis. He or she works on building machine learning models, implementing data preprocessing techniques, and optimising algorithms. | |
A data scientist leverages statistical and analytical techniques to extract insights from complex datasets. He or she analyses large volumes of data, develops predictive models, and provides valuable recommendations for business decision-making. | |
Artificial Intelligence (AI) Researcher | An AI researcher focuses on advancing the frontiers of artificial intelligence by developing new algorithms, models, and techniques. He or she explores innovative approaches to problem-solving, such as natural language processing, computer vision, and deep learning. |
A robotics engineer designs and develops intelligent robotic systems capable of performing complex tasks autonomously. He or she integrates hardware and software components, creates control systems, and optimises robot performance. | |
Intelligent Systems Architect | An intelligent systems architect designs and builds robust architectures for complex intelligent systems. He or she analyses requirements, selects appropriate technologies, and oversees the implementation of AI and machine learning solutions. |
Upcoming trends
Intelligent Systems is a fascinating field at the forefront of technological advancements, encompassing various disciplines such as artificial intelligence, machine learning, robotics, and data science. Some of the trending topics of the Intelligent Systems course are mentioned below:
Federated Learning: A collaborative machine learning approach that allows multiple decentralised devices to train models while preserving data privacy.
Explainable AI (XAI): Focuses on creating AI models that provide clear and understandable explanations for their decisions, making AI systems more transparent.
Reinforcement Learning for Robotics: Integrating reinforcement learning techniques with robotics to enable autonomous decision-making and adaptation.
AI in Healthcare: The application of AI and machine learning techniques for medical diagnostics, personalised medicine, and drug discovery.
Job Profiles and Top Recruiters
After completing an Intelligent Systems course, numerous career options become available for Intelligent Systems graduates. Top recruiters for Intelligent Systems professionals are mentioned below:
TCS (Tata Consultancy Services)
Infosys
IBM
Wipro
Tech Mahindra
Average Salary
In the table below, we have mentioned the average salary of Intelligent Systems graduates:
Job profiles | Average salary |
Machine Learning Engineer | Rs. 6.4 LPA |
Data Scientist | Rs. 10.0 LPA |
Artificial intelligence (AI) Researcher | Rs. 9.0 LPA |
Robotics Engineer | Rs. 3.5 LPA |
Source: Ambitionbox
Note: These salary figures may vary depending on various factors, such as designation, experience, skills, job location.
Required Skillset for Intelligent Systems
In the rapidly evolving field of Intelligent Systems, possessing both soft skills and technical skills is crucial for success. The following skills are highly valued on the Intelligent Systems course:
Programming languages | Mathematics and Statistics |
Machine Learning and AI | Data Processing and Analysis |
Communication skills | Adaptability |
Teamwork | Critical Thinking |
Course Curriculum for Intelligent Systems
The Intelligent Systems course curriculum typically covers a wide range of topics, providing students with a comprehensive understanding of the field. The Intelligent Systems course curriculum provides students with the knowledge and skills necessary to design, develop, and implement Intelligent Systems in various domains, setting the foundation for a successful career in the field. Intelligent Systems course curriculum includes:
Machine Learning
Deep Learning
Computer Vision
Natural Language Processing
Popular Intelligent Systems Entrance Exams in India
Popular Intelligent Systems Colleges in India VIEW ALL
IIT Bombay
- Fees: ₹ 831200
- Exams: JEE Advanced
SRM University Chennai
- Fees: ₹ 189000
VIT Vellore
- Fees: ₹ 780000
- Exams: VITEEE
Frequently Asked Questions (FAQs)
Question: What are the top recruiting companies that hire Intelligent Systems students?
Answer :
The top recruiting companies that hire Intelligent Systems students are TCS (Tata Consultancy Services), Infosys, IBM, Wipro, and Tech Mahindra.
Question: What are the skills required for an Intelligent Systems course?
Answer :
The skills required for an Intelligent Systems course are Programming languages, Mathematics and Statistics, Machine Learning and AI, Data Processing and Analysis, Communication skills, Adaptability, Teamwork, Critical Thinking.
Question: What are the top career choices for Intelligent Systems students?
Answer :
The top career choices for Intelligent Systems students are Machine Learning Engineer, Data Scientist, Artificial Intelligence (AI) Researcher, and Robotics Engineer.
Question: What are the entrance exams required for Intelligent Systems?
Answer :
The entrance exams required for Intelligent Systems are JEE Main, JEE Advanced, and GATE.
Question: What are the degree programmes for Intelligent Systems courses?
Answer :
Some of the degree programmes for Intelligent Systems courses are B.Tech Intelligent Systems, M.Tech Intelligent Systems and Analytics, M.Tech Intelligent Systems, B.Tech MBA Intelligent Systems and Robotics.
Question: Who is eligible for pursuing an Intelligent Systems Course?
Answer :
Eligibility for pursuing an Intelligent Systems course depends on the level of the program. For undergraduate programs, candidates must have completed their 10+2 education, preferably with a focus on science and mathematics. For postgraduate programs, candidates should hold a bachelor's degree in a relevant field, such as computer science, engineering, or mathematics.
Question: What is the future scope of an Intelligent Systems course?
Answer :
The future scope of an Intelligent Systems course is promising due to rapid advancements in AI and technology. As industries increasingly rely on AI-driven solutions, there will be a growing need for professionals with expertise in Intelligent Systems. There is potential for continuous growth and learning, as the field is ever-evolving, allowing professionals to stay at the forefront of technological innovation.
Question: Is an Intelligent Systems course difficult?
Answer :
The difficulty of an Intelligent Systems course depends on an individual's background and dedication to learning. While it can be challenging due to its interdisciplinary nature and the complexity of the subject matter, students with a strong foundation in mathematics, computer science, and problem-solving skills can excel in the course.
Question: What are the benefits of pursuing an Intelligent Systems course?
Answer :
Pursuing an Intelligent Systems course offers numerous benefits such as the rapid growth of AI and automation. There is a significant demand for skilled professionals in intelligent systems. Graduates of Intelligent Systems can work in various sectors, including the healthcare, finance, robotics, and automotive industries. Skilled professionals in Intelligent Systems often receive higher-than-average salaries due to the high demand for their expertise.
Question: What is an Intelligent Systems course?
Answer :
An Intelligent Systems course is an interdisciplinary program focused on the study of artificial intelligence, machine learning, robotics, and related fields. The course aims to provide students with the knowledge and skills necessary to design, develop, and implement intelligent systems that can autonomously learn, reason, and adapt to their environments. The curriculum covers a wide range of topics, including machine learning, deep learning, computer vision, natural language processing, robotics, and cognitive computing.
