B.Sc - CS (Artificial Intelligence)
Overview:
A Bachelor of Science (BSc) in Computer Science with Artificial Intelligence (AI) is a 3 year degree program that teaches students about computer science and AI, including how to apply AI techniques to real-world applications. Students learn about the science behind computer and software systems, as well as how to develop systems using the latest technologies and techniques. The program also helps students develop computational thinking and engineering skills.
The B.Sc. in Computer Science with AI degree program combines Computer Science with Artificial Intelligence (AI) and Machine Learning (ML). The program typically includes core Computer Science modules like Programming, Software Engineering, and Database Systems, as well as AI and ML topics like natural language processing and deep learning. Students may also learn about Statistical Modeling and Computational Mathematics.
In addition, the students deal with ethical issues, data privacy and security problems associated with the use of information processing systems. They are able to work scientifically in teams and to transfer scientific results into professional practice as well as to communicate and present such results convincingly.
Some of the Highlights of B.Sc CS (Artificial Intelligence):
| Name Of The Course | B.Sc CS (Artificial Intelligence) |
| Full Form | Bachelor of Science in CS (Artificial Intelligence) |
| Level | Undergraduate |
| Duration | 3 Years |
| Examination Type | Semester System |
| Eligibility | Minimum 50% in 12th Board Exams |
| Admission Process | Entrance/Merit Based, Direct |
| Average Course Fees | ₹ 50 K To ₹ 4.5 L |
| Average Annual Salary | ₹ 4.0 LPA To ₹ 5.0 LPA |
| Job Profiles/Roles | Data specialist, Software engineer, AI researcher, Data scientist, A natural language processing specialist, Data analyst, Research scientist, |
Top Colleges Offering B.Sc - CS (Artificial Intelligence) in India:
- Sharda University
- Amity University
- Shiv Nadar University Chennai
- Chandigarh University
- IIT Hyderabad
- SRM Institute of Science and Technology
- Amet University
- Graphic Era Deemed To Be University
- Sathyabama Institute of Science and Technology
- Alpha College Of Engineering
Why choose B.Sc CS (Artificial Intelligence)?
Artificial Intelligence is one of the current hot topics in Computer Science, and in society more broadly. It is at the heart of everyday technology and the understanding and application of AI holds the key to solving many current and future real-world problems.
A Bachelor of Science (BSc) in computer science with AI subjects can prepare students for careers in a variety of industries, including healthcare, finance, and technology. The program can help students develop skills that are attractive to employers, such as computational thinking and engineering skills. Students also learn about AI and machine learning (ML) topics like deep learning and natural language processing. This knowledge can help graduates apply innovative solutions to real-world challenges.
Some other reasons to study a BSc in computer science with AI subjects include:
- International opportunities
- AI and data science are global fields, so graduates may have opportunities to work abroad. Some programs offer international experiences like online learning, field trips, and study abroad options.
- Lifelong learning
- The fields of AI and data science are constantly evolving, so graduates can expect to engage in lifelong learning and personal growth.
- Generative AI is experimental.
Pursuing a Bachelor of Science (BSc) in computer science is a solid choice if your goal is to work in artificial intelligence (AI). Computer science provides a strong foundation in algorithms, programming, data structures, and other fundamental concepts that are essential for understanding AI technologies.
Admission Proceduer For B.Sc CS (Artificial Intelligence):
BSc Computer Science admission 2024 relies on both merit and entrance exams basis. While some colleges accept Class 12 scores, some institutions accept university, state or national-level entrance exam scores to offer admission to a BSc Computer Science course. BSc Computer Science eligibility is to pass Class 12 in the Science stream with PCM (Physics, Chemistry, and Mathematics) subjects with a minimum 50% marks from a recognized board.
Eligibility For B.Sc CS (Artificial Intelligence):
The courses for BSc Computer Science eligibility criteria depend on the level. The candidate must pass Class 12 in PCM subjects, with at least 45% aggregate marks from a recognized board.
The scope of BSc computer science with Artificial Intelligence:
The scope of artificial intelligence is very broad. There is a growing need for artificial intelligence professionals in the Health, Manufacturing, Cyber Security, and Agriculture sector to develop Expert Systems, Computer Vision, Robotics, Speech Recognition Technologies, etc.
Career opportunities for BSc computer science with Artificial Intelligence:
Graduates can work in the public and private sectors in areas Like Market Intelligence, Imaging Techniques, Data Mining, and The Medical & Pharmaceutical Industries. Some potential career paths Include:
Machine Learning Engineer
Data Scientist
Robotics Engineer
Software Developer
Business Intelligence Developer
Software Engineer
AI Researcher
A natural language processing specialist
Data analyst
Research scientist
Semester 1
Tamil
English
Programming in C
Lab 1 : Programming C
Mathematical Foundations I
Lab 2: Linux Programming
Value Education
Semester 2
Tamil
English
Object Oriented Programming with C++
Lab 3: Object Oriented Programming with
C++
Mathematical Foundations II
Design Thinking
Environmental Studies
Semester 3
Tamil
English
Data Structures and Computer Algorithms
Lab 4: Data Structures and
Computer Algorithms Lab
Introduction to Artificial Intelligence
Resource Management Techniques
Lab 5: Python Programming Lab
Semester 4
Tamil
English
Introduction to Machine Learning
Lab 6: Machine Learning Lab-I
Soft Computing
Numerical Methods
Lab 7: Open CV Lab
Extension Activities
Semester 5
Algorithms in Artificial Intelligence
Machine Learning Techniques
Principles of Deep Learning
Lab 8: Machine Learning Lab -II
1. Ethics and Social Implications of AI
2. Digital Image Processing
3. Operating System
Introduction to computers and Office Automation
Lab 9:Open source Technology Lab
Semester 6
Internet of Things and
Robotics
Natural Language Processing
Lab 10: Natural Language
Programming
1. Data science with R Programming For AI
2. Data Mining and Warehousing
3. Software Engineering
Project Work / Viva-Voce
Introduction to Internet
Quantitative Aptitude