B.Sc - Computer Science (Artificial Intelligence and Data Science)

Overview:

B.Sc CS (Artificial Intelligence and Data Science) is a 3-year undergraduate course that integrates Data Science and Artificial Intelligence in a collaborative manner.  The course prepares students to conduct data-driven investigations using statistical and Artificial Intelligence techniques. The course aims to make students familiar with the technologies and skills related to AI and Data science.  The course also makes students understand its application in real-world Problems.

Students learn how to design and build business computing systems for mobile and internet environments, as well as AI-specific programming.

Machine learning

Students learn the fundamental methods, theories, techniques, and technologies used to develop machine learning systems.

Critical thinking

Students develop critical, analytical, creative, reflective, and interpersonal skills that prepare them for working in groups and independently.

Statistics

Students learn how to use statistics and mathematical simulations to analyze data, create models, and interpret results.

Software tools

Students learn how to use software tools to handle mathematical and statistical issues in real-time applications.

Scientific methods

Students learn how to use scientific methods to innovate solutions from conception to implementation.

Various institutes in India offer the B.Sc AI and DS course. Some of the colleges offering the course are Christ University, NMIMS University Mumbai, CUSAT, Kochi, etc.

B.Sc - Computer Science (Artificial Intelligence and Data Science) Highlights:

 Top Colleges offering B.Sc CS (Artificial Intelligence and Data Science) in India:

• Anna University
• CHRIST (Deemed to be University) Delhi NCR
• Kings Cornerstone International College
• Sathyabama Institute of Science and Technology
• Amrita Vishwa Vidyapeetham, Coimbatore
• CT Group of Institutions
• IIT Hyderabad
• SRM Institute of Science and Technology
• NMIMS Bangalore
• Parul University
• Rathinam College Of Arts And Science
• Sam Global University
• SASTRA Deemed University
• SR University
• Yenepoya (Deemed to be University)

WhyChoose  B.Sc - Computer Science (Artificial Intelligence and Data Science)?

A B.Sc. in Computer Science (Artificial Intelligence and Data Science) can prepare you for a variety of career opportunities in data analysis, machine learning, and AI development. The field is in high demand due to the world's increasing reliance on data-driven insights to make decisions.

You'll develop key skills in applying datasets to a range of models including deep learning neural networks, and applying models to a range of divergent problems. You'll also explore the ethical and social implications of the deployment of machine learning models, and consider their limitations and validity.

 Career opportunities

Graduates can pursue roles such as data scientist, machine learning engineer, AI research scientist, and business intelligence analyst.

Skill set

You'll learn skills like programming, software engineering, web technologies, database systems, and big data. You'll also develop critical, analytical, creative, reflective, and interpersonal skills.

Applied computing

You'll gain up-to-date knowledge about applied computing and the design of computer-based systems.

AI topics

You'll cover central AI topics like computer vision, natural language understanding, expert systems, heuristic optimization, intelligent agents, machine learning, and neural networks.

Admission Procedure For B.Sc - Computer Science (Artificial Intelligence and Data Science)

Generally, BSc. Computer Science (AI & DS) programs do not require an entrance examination for admission. Instead, admission is based on the merit of the candidate's performance in the 10+2 examination, often along with an Interview.  However, in some top universities , Admission is done based on an entrance exam. Aspiring students who meet the eligibility criteria for the 10+2 examination are considered eligible for admission.

Eligibility For  B.Sc - Computer Science (Artificial Intelligence and Data Science)

• Students must fulfill the below-mentioned eligibility criteria to get admission to B.Sc CS in Artificial Intelligence and Data Science course.
  
• Candidates must have completed 10+2 from any recognized board with Mathematics/Statistics as the main subject. 
• Candidates must have scored a minimum of 45%-60% marks in class 12th.
  
• Candidates must have completed 17 years of age to get admission to B.Sc CS in AI and Data Science.
  

Career opportunities for (B.Sc) in Computer Science with Artificial Intelligence and Data Science:

 B.Sc. Computer Science in Artificial Intelligence & Machine Learning program at UPES School of Computer Science opens doors to a plethora of exciting career opportunities. Graduates are well-equipped to step into roles such as Machine Learning Engineer, Data Scientist, AI Researcher, and Software Developer. The comprehensive curriculum not only hones technical skills but also nurtures critical thinking and problem-solving abilities. With a strong foundation in AI and Machine Learning, students can contribute to industries spanning healthcare, finance, technology, and more. The program's practical approach, coupled with industry exposure and hands-on projects, empowers graduates to apply innovative solutions to real-world challenges. Whether it's enhancing customer experiences through recommendation systems or optimizing business processes, UPES graduates are primed to be at the forefront of shaping the AI and Machine Learning landscape.

Jobs Opportunities After (B.Sc) in Computer Science with Artificial Intelligence and Data Science:

• Data science
  
• Enterprise architecture
  
• Machine Learning Engineer
  
• Data Analyst
  
• Data Engineer
  
• Business intelligence
  
• Artificial intelligence
  
• Business Analyst
  
• Software Engineer

Top Recruiters of (B.Sc) in Computer Science with Artificial Intelligence and Data Science:

• Accenture
  
• IBM
  
• Infosys
  
• Amazon
  
• Microsoft
  
• Adobe
  
• Cognizant
  
• Deloitte
  
• Netflix
  
• Oracle
  
• Wipro
  

Syllabus 

Semester 1

Language 1

English - I
Core 1: Fundamentals of Computer Programming
Core 2: Data Structures
Core Lab 1: Computer Programming Lab
Allied 1: Linear Algebra
Environmental Studies

Semester 2

Language – II
English – II
Core 3: Introduction to Python Programming
Core Lab 2: Python Programming Lab
Core Lab 3: Internet Basics Lab
Allied 2: Optimization Techniques
Value Education – Human Rights

Semester 3

Language – III
English – III
Core 4: Internet Programming
Core 5: Foundation of Artificial Intelligence
Core Lab 4: Internet Programming Lab
Allied 3: Operating System Design
Skill based Subject 1: Data Analytics
IV Tamil** / Advanced Tamil* (OR) Nonmajor elective - I (Yoga for Human Excellence)* / Women’s Rights*

Semester 4

Language– IV
English- IV
Core 6: Cognitive Science and Analysis
Core 7: Database Design and Management
Core Lab 5: Database Lab
Allied 4: Data and Information Security
Skill based Subject 2 Lab : Capstone Project Work Phase I
Tamil**/Advanced Tamil* (OR) Non-major elective-II (General Awareness*)

Semester 5

Language – IV
English- IV
Core 6: Cognitive Science and Analysis
Core 7: Database Design and Management
Core Lab 5: Database Lab
Allied 4: Data and Information Security
Skill based Subject 2 Lab : Capstone Project Work Phase I
Tamil**/Advanced Tamil* (OR) Non-major elective-II (General Awareness*)

Semester 6

Core 10: Robotic Process Automation
Core 11: Project Work Lab %
Core Practical–VII : Programming in UI Path Automation Lab
Elective– II : Ethical Hacking / Digital Forensics Science / Natural Language Processing
Elective : Internet of Things / Data Visualization / Social Network Analysis
Skill Based Subject 4 : Machine Learning Extension Activities