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

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