BS Data Science and Artificial Intelligence

BS(DS&AI)

BS Data Science and Artificial Intelligence (BS(DS&AI))

The Bachelor of Science (BS) in Data Science and Artificial Intelligence program at South Asian University, Delhi, is an innovative course designed for students passionate about the emerging fields of data science and AI. This program provides a thorough understanding of data analytics, machine learning, artificial intelligence, and other allied subjects, equipping students with the essential skills to excel in the digital age. Hosted through SAU’s virtual campus, the program offers both flexibility and accessibility, making it ideally suited for learners seeking to balance their education with various other commitments. By combining theoretical knowledge with hands-on projects, students acquire the practical expertise needed to solve complex challenges and drive innovation. The curriculum is designed to align with industry demands, preparing students for a variety of roles in data science, AI development, and research. Enrol in SAU’s BS (DS and AI) program to join the next generation of tech leaders to study and innovate data-driven solutions and artificial intelligence.

Admission Cycle

January, July

Apply Now

Eligibility

Following Eligibility are required for enrolling in this programme

A candidate must have passed class 12 or any equivalent qualifying examination Science (PCM/PCB)/ Commerce/Art* or its equivalent with a minimum of 50% marks (or equivalent grade)

*Note: Candidates from non-mathematics background are required to take the compulsory add-on course “Foundation of Mathematics” in the first semester.

Duration

Minimum four (04) Years and Maximum eight (08) Years

Fee Structure

S. No.	Fee Type	Amount	One Time/Recurring
1	Registration Fee	USD 20/ INR 1740	One Time
2	Tuition Fee	USD 460/ INR 40020	Per Semester
3	Admission Fee	USD 200/ INR 17400	One Time
4	Student Aid Fund	USD 10/ INR 870	Per Semester

Scholarship: 25% tuition fee concession will be given on SAU-VC programs to the following:

Current SAU Students
SAU Alumni
Teachers from SAARC countries

The installment policy for all virtual campus degree programmes will be similar to that of the SAU policy.

Admission Process

A candidate who meet the eligibility criteria can enroll in the programme.

Course Structure

Semester 1

Credit 4

Mathematics I

Title

Mathematics I

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 1

Credit 4

Fundamentals of Programming

Title

Fundamentals of Programming

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 1

Credit 4

Communication Skills in English

Title

Communication Skills in English

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 1

Credit 4

Fundamentals of Computer Systems

Title

Fundamentals of Computer Systems

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 1

Credit 4

Web Application Development

Title

Web Application Development

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 2

Credit 4

Programming using Python

Title

Programming using Python

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 2

Credit 4

Mathematics II

Title

Mathematics II

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 2

Credit 4

Data Structures and Algorithms

Title

Data Structures and Algorithms

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 2

Credit 4

Fundamentals of Data Science

Title

Fundamentals of Data Science

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 2

Credit 3

Soft Skills

Title

Soft Skills

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 3

Credit 4

Analysis and Design of Algorithms

Title

Analysis and Design of Algorithms

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 3

Credit 4

Database Systems

Title

Database Systems

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 3

Credit 4

Object Oriented Programming

Title

Object Oriented Programming

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 3

Credit 4

Computational Statistics

Title

Computational Statistics

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 3

Credit 4

Introduction to AI

Title

Introduction to AI

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 4

Credit 4

Operating Systems

Title

Operating Systems

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 4

Credit 4

Software Engineering

Title

Software Engineering

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 4

Credit 4

Introduction to ML

Title

Introduction to ML

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 4

Credit 4

Data Visualization

Title

Data Visualization

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 4

Credit 4

Fundamentals of Management

Title

Fundamentals of Management

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 5

Credit 4

Full Stack Development (using Web Technologies)

Title

Full Stack Development (using Web Technologies)

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 5

Credit 4

Advanced ML

Title

Advanced ML

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 5

Credit 4

Cloud Computing

Title

Cloud Computing

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 5

Credit 4

Program Elective I

Title

Program Elective I

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Program Electives

Social Network Analysis
Optimization Techniques
Big Data Analytics

Computational Intelligence

Distributed Systems

Business Analytics and Intelligence

Semester 5

Credit 4

Computer Networks

Title

Computer Networks

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 6

Credit 4

Program Elective II

Title

Program Elective II

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Program Electives

Social Network Analysis
Optimization Techniques
Big Data Analytics

Computational Intelligence

Distributed Systems

Business Analytics and Intelligence

Semester 6

Credit 4

Generative AI

Title

Generative AI

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 6

Credit 4

Program Elective III

Title

Program Elective III

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Program Electives

Social Network Analysis
Optimization Techniques
Big Data Analytics

Computational Intelligence

Distributed Systems

Business Analytics and Intelligence

Semester 6

Credit 2

South Asian Studies

Title

South Asian Studies

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 6

Credit 8

Project

Title	:	Project
Credit	:	8

Semester 7

Credit 4

Natural Language Processing

Title

Natural Language Processing

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Semester 7

Credit 4

Program Elective IV

Title

Program Elective IV

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Program Electives

Social Network Analysis
Optimization Techniques
Big Data Analytics

Computational Intelligence

Distributed Systems

Business Analytics and Intelligence

Semester 7

Credit 4

Program Elective V

Title

Program Elective V

Credit

Evaluation Methodology

There are three components Internal Assignment(Quiz/Assignments), Mid-Term Examination and Final-Term Examination. The weightage of individual Component is as follows:

#	Component	#	Weightage(%)
1	Internal Assignment(Quiz/Assignments)	:	30 %
2	Mid-Term Examination	:	30 %
3	Final-Term Examination	:	40 %

Program Electives

Social Network Analysis
Optimization Techniques
Big Data Analytics

Computational Intelligence

Distributed Systems

Business Analytics and Intelligence

Semester 7

Credit 10

Project II/ Dissertation I

Title	:	Project II/ Dissertation I
Credit	:	10

Semester 8

Credit 18

Internship/Dissertation II

Title	:	Internship/Dissertation II
Credit	:	18

Programme Coordinator

	Dr. Jagdish Chand Bansal Professor Department of Mathematics, FMS, SAU India jcbansal(at)sau.ac.in
	Dr. Bijoy Chand Chatterjee Associate Professor Department of Computer Science & Engineering, FET, SAU India bijoycc(at)sau.int

BS Data Science and Artificial Intelligence

BS(DS&AI)