B.S. (Hons.) with DSA is a 4-year undergraduate Program spread over eight semesters. The course comes under the domain of computer science, Business Analytics and Artificial Intelligence. Data Science and Analytics is an interdisciplinary subject that includes Statistics, Big-Data Analytic, Machine Learning in order to understand the problem with respect to a set of real-world data. B.S. (Hons.) with DSA is intended to provide data analytics, machine learning techniques and their applications for effective decision making in improving the business processes.
|
Program Code
|
Name of the Program Outcome
|
Program Outcomes
|
|---|---|---|
|
PO1
|
Data Science & Analytics Knowledge
|
Apply data science principles, statistical techniques, and machine learning tools to solve real-world problems and make data-driven decisions.
|
|
PO2
|
Computational Thinking
|
Develop and implement computational solutions for complex business and scientific problems.
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|
PO3
|
Programming & IT Skills
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Build efficient software solutions using programming languages such as R, Python, SQL, and tools like Power BI and Tableau.
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PO4
|
Communication & Teamwork
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Communicate effectively in multidisciplinary teams to deliver data insights and visualizations.
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PO5
|
Problem Solving & Innovation
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Identify business challenges and offer innovative data-driven solutions.
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PO6
|
Ethics & Social Responsibility
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Practice data science with a strong sense of ethics, privacy, and social responsibility.
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|
PO7
|
Lifelong Learning
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Pursue continuous learning to adapt to new technologies and evolving trends in data science.
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|
Year
|
Semester
|
Course Type (Credits)
|
||||||
|---|---|---|---|---|---|---|---|---|
|
1st Year
|
Sem-I
|
Major-1
(4)
|
Major-2
(4)
|
Minor-1
(4)
|
MDC-1
(4)
|
AEC-1
(2)
|
SEC-1
(2)
|
IKS-1
(2)
|
|
Sem-II
|
Major-3
(4)
|
Major-4
(4)
|
Minor-2
(4)
|
MDC-2
(4)
|
AEC-2
(2)
|
SEC-2
(2)
|
VAC-
1
(2)
|
|
|
2 nd Year
|
Sem-III
|
Major-5
(4)
|
Major-6
(4)
|
Major-7
(4)
|
MDC-3
(4)
|
AEC-3
(2)
|
SEC-3
(2)
|
IKS-2
(2)
|
|
Sem-IV
|
Major-8
(4)
|
Major-9
(4)
|
Major-10
(4)
|
Minor-3
(4)
|
AEC-4
(2)
|
SEC-4
(2)
|
VAC-
2
(2)
|
|
|
3rd Year
|
Sem-V
|
Major-11
(4)
|
Major-12
(4)
|
Major-13
(4)
|
Minor-4
(4)
|
Minor-5
(4)
|
SEC-5
(2)
|
-
|
|
Sem-VI
|
Major-14
(4)
|
Major-15
(4)
|
Major-16
(4)
|
Minor-6
(4)
|
AEC-5
(2)
|
Internship
(4)
|
-
|
|
|
4th Year
|
Sem-VII
|
Major-17
(4)
|
Major-18
(4)
|
Major-19
(4)
|
Minor-7
(4)
|
-
|
OJT/RP-1
(6)
|
-
|
|
Sem-VIII
|
Major-20
(4)
|
Major-21
(4)
|
Major-22
(4)
|
Minor-8
(4)
|
-
|
OJT/RP-2
(6)
|
-
|
|
|
Course type and Credit
|
Course Code
|
Course Title
|
Course Outcomes
|
|---|---|---|---|
|
MAJOR COURSE
(Compulsory Credits - 4 Credits each) |
DSM111
|
Statistics for Data Science
|
|
|
MAJOR COURSE
(Compulsory Credits - 4 Credits each) |
DSM112
|
Fundamentals of R Programming
|
|
|
MINOR(4 CREDITS)
|
DSE113
|
Discrete Mathematics
|
|
|
MULTIDISCIPLINARY
(Compulsory Credits - 4 Credits each) |
DSMDC114
|
Introduction to Programming I
|
|
|
Ability Enhancement Course
(Compulsory) (2 Credits) |
AEC115
|
Language Through Literature-I
|
|
|
SKILLS ENHANCEMENT COURSE Elective Course (2 Credits)
|
DSSEC116
|
Data Science Tools & Technologies - I
|
|
|
INDIAN KNOWLEDGE SYSTEM Course
(2 Credits) |
IKS117
|
Indian Knowledge Systems
|
|
Course type and Credit
|
Course Code
|
Course Title
|
Course Outcomes
|
|---|---|---|---|
|
MAJOR CORE COURSE
(4 Credits) |
DSM121
|
Probability Theory & Probability Distributions
|
|
|
MAJOR
(4 Credits) |
DSM122
|
Database Management System
|
|
|
MINOR(4 CREDITS)
|
DSE123
|
Linear Algebra
|
|
|
MULTIDISCIPLINARY
(4 Credits) |
DSMDC124
|
Introduction to Programming II
|
|
|
Ability Enhancement Course
(2 Credits) |
AEC125
|
Language Through Literature-II
|
|
|
SKILL ENHANCEMENT COURSE (2 Credits)
|
DSSEC126
|
Data Science Tools & Technologies - II
|
|
|
Value Added Course
(2 Credits) |
VAC127
|
Interpersonal Skills
|
|
Course type and Credit
|
Course Code
|
Course Title
|
Course Outcomes
|
|---|---|---|---|
|
Major Core Course
(4 Credits)
|
DSM231
|
Statistics for Decision-Making
|
|
|
Major Core Course
(4 Credits)
|
DSM232
|
Data Structure and Algorithm
|
|
|
Major Core Course
(4 Credits)
|
DSM 233
|
Data Visualization and Story Telling
|
|
|
MDC (4 Credits each)
|
DSMDC 234
|
Data Analysis using Python
|
|
|
SEC COURSE (2 Credits)
|
DSSEC-236
|
Power BI
|
|
|
SEC COURSE (2 Credits)
|
DSSEC-236
|
Tableau
|
|
Course type and Credit
|
Course Code
|
Course Title
|
Course Outcomes
|
|---|---|---|---|
|
MAJOR
(Compulsory Credits - 4 Credits each) |
DSM241
|
Data Mining Using Python
|
|
|
MAJOR COURSE
(Compulsory Credits - 4 Credits each) |
DSM242
|
Object Oriented Programming with JAVA
|
|
|
MINOR COURSE
(Compulsory Credits - 4 Credits each) |
DSM243
|
Data Warehousing and Data Integration
|
|
|
DSE COURSE
(Compulsory Credits - 4 Credits each) |
DSE244
|
Operational Research
|
|
|
SEC COURSE
(Compulsory Credits - 2 Credits) |
DSSEC246
|
Digital Marketing
|
|
|
SEC COURSE
(Compulsory Credits - 2 Credits) |
DSSEC246
|
Cyber Security
|
|
|
SEC COURSE
(Compulsory Credits - 2 Credits) |
DSSEC246
|
Recommendation System
|
|
Program
|
Intake (English)
|
Fee Per Semester
|
Duration
|
|---|---|---|---|
|
B.S. Data Science & Analytics
(Honours Program) |
60
|
Rs. 40,000/-
|
4 Years
|
|
Course Name
|
Fees in Rs. (per Semester)
|
Total Seats
|
|---|---|---|
|
B.S. Data Science and Analytics
|
40,000/-
|
60
|
