Semester 1st
|
Course Code
|
Course Name
|
L
|
T
|
P
|
C
|
CH
|
|
23SDH-501
|
Fundamentals of Programming(R/ Python)
|
3
|
0
|
2
|
4
|
5
|
|
23SDH-502
|
Data Base Management System
|
3
|
0
|
2
|
4
|
5
|
|
23SDH-503
|
Internet of Things
|
3
|
0
|
2
|
4
|
5
|
|
23SDT-504
|
Design and Analysis of Algorithms
|
3
|
0
|
0
|
3
|
3
|
|
23SMT-505
|
Statistical Methods
|
3
|
1
|
0
|
4
|
4
|
|
23SMT-506
|
Mathematical Methods for Data Sciences
|
3
|
1
|
0
|
4
|
4
|
|
Total Credits
|
18
|
2
|
6
|
23
|
26
|
|
Cumulative Credits
|
23
|
Note:
1. Massive Open Online Courses (MOOCs)
equivalent to 10 % of the total credit is mandatory to
qualify from 1st semester up to 3rd semester of the two
years degree program.
2. One Value Added Course per semester is
mandatory from the basket of value added courses
Semester 2nd
|
Course Code
|
Course Name
|
L
|
T
|
P
|
C
|
CH
|
|
23SDH-551
|
Data Visualization
|
3
|
0
|
2
|
4
|
5
|
|
23SDH-552
|
Big Data
|
3
|
0
|
2
|
4
|
5
|
|
23SDH-553
|
Machine Learning
|
3
|
0
|
2
|
4
|
5
|
|
23SDP-554
|
Fundamentals of LaTeX
|
0
|
0
|
2
|
1
|
2
|
|
23SMT-555
|
StatisticalInference
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-556
|
Sampling and Design of Experiments
|
3
|
1
|
0
|
4
|
4
|
|
23SDN-557
|
*Seminar
|
0
|
2
|
0
|
2
|
2
|
|
Total Credits
|
16
|
3
|
8
|
23
|
27
|
|
Cumulative Credits
|
46
|
Note:
1. * Seminar class will be held in computer lab
and will be
evaluated as per seminar rubrics.
2. Summer Training of three weeks (90 hours) is
compulsory
after 2nd semester examination and evaluation will be done
in 3rd semester.
|
Training and Placement Program
(TPP) Group
|
|
Course Code
|
Course Name
|
L
|
T
|
P
|
C
|
CH
|
|
23TDP-620
|
Professional Soft Skills – I
|
0
|
0
|
4
|
2
|
4
|
|
23TDT-621
|
Aptitude & Reasoning-I
|
0
|
4
|
0
|
4
|
4
|
|
Non Training and Placement
Program (TPP)
Group
|
|
23SDT-558
|
Software Management System
|
3
|
0
|
0
|
3
|
3
|
|
23SDT-559
|
Web Technologies
|
3
|
0
|
0
|
3
|
3
|
Semester 3rd
|
Course Code
|
Course Name
|
L
|
T
|
P
|
C
|
CH
|
|
23SDH-601
|
Business Analytics
|
3
|
0
|
2
|
4
|
5
|
|
23SDH-602
|
Deep Learning
|
3
|
0
|
2
|
4
|
5
|
|
23SDT-6**
|
Elective-I
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-6**
|
Elective-II
|
4
|
0
|
0
|
4
|
4
|
|
23SDR-603
|
Dissertation-Part1#
|
0
|
0
|
0
|
4
|
4
|
|
23SDI-604
|
Summer Training
|
0
|
0
|
0
|
6
|
-
|
|
Total Credits
|
14
|
0
|
4
|
26
|
22
|
|
Cumulative Credits
|
72
|
|
Training and Placement Program
(TPP) Group
|
|
Course Code
|
Course Name
|
L
|
T
|
P
|
C
|
CH
|
|
23TDP-721
|
Professional Soft Skills – II
|
0
|
0
|
2
|
1
|
2
|
|
23TDT-722
|
Aptitude and Reasoning - II
|
0
|
2
|
0
|
2
|
2
|
|
23SDT-605
|
Domain Aptitude
|
2
|
0
|
0
|
2
|
2
|
|
Non Training and Placement
Program (TPP)
Group
|
|
23SDT-605
|
Domain Aptitude
|
2
|
0
|
0
|
2
|
2
|
|
23SDT-606
|
Expert Systems
|
3
|
0
|
0
|
3
|
3
|
Note: 23SDT-6** The two elective groups are:
(i) Electives Group-I (Data Analytics)
(ii) Electives Group-II (Data Mining)
|
List of Elective Subjects for
3rd
Semester Group A-Data
Analytics
|
|
Course Code
|
Course Name
|
L
|
T
|
P
|
C
|
CH
|
|
23SDT-607
|
Number Theory and Cryptography
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-608
|
Pattern Recognition
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-609
|
Regression Analysis
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-610
|
Information Retrieval
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-611
|
Theory of Computation
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-612
|
High Performance Computing (HPC)
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-613
|
Parallel and Distributed Computing
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-614
|
Soft computing
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-615
|
Time Series Analysis
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-616
|
Business Intelligence
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-617
|
Information Security & Cryptography
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-618
|
Supply Chain Management
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-619
|
Bayesian Data Analysis
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-620
|
Multivariate Analysis
|
4
|
0
|
0
|
4
|
4
|
|
List of Elective Subjects for
3rd
Semester Group- B Data
Mining
|
|
Course Code
|
Course Name
|
L
|
T
|
P
|
C
|
CH
|
|
23SDT-621
|
Graph Theory and Discrete Mathematics
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-622
|
Clustering technique
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-623
|
Artificial Intelligence
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-624
|
Computer Networks
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-625
|
Text Mining
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-626
|
Data Mining and Data Warehousing
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-627
|
Natural Language Processing
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-628
|
Signal Processing
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-629
|
Image Processing
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-630
|
Network Security
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-631
|
Social Network Aggregators
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-632
|
Evolutionary Algorithms and Numerical
Optimization
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-633
|
Web Intelligence
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-634
|
Business Data Mining
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-635
|
Risk Management Financial Data
|
4
|
0
|
0
|
4
|
4
|
Module 1 – Dissertation with Research
Problem
Semester 4th
|
Course Code
|
Course Name
|
L
|
T
|
P
|
C
|
CH
|
|
23SDR-651
|
Dissertation-Part2 #
|
0
|
0
|
24
|
12
|
-
|
|
TOTAL
|
0
|
0
|
24
|
12
|
-
|
Module 2 – Placement / Internship
Semester 4th
|
Course Code
|
Course Name
|
L
|
T
|
P
|
C
|
CH
|
|
23SDR-652
|
Placement / Internship
|
0
|
0
|
0
|
12
|
-
|
|
TOTAL
|
0
|
0
|
0
|
12
|
-
|
Note:
1. # Evaluation will be done as per rubrics and
student should
have one research paper out of dissertation work which is
accepted/published in Scopus/ESCI/SCI journal/conference.
|
Program Core Basket
|
|
Course Code
|
Course Name
|
L
|
T
|
P
|
C
|
CH
|
|
23SDH-501
|
Fundamentals of Programming(R/ Python)
|
3
|
0
|
2
|
4
|
5
|
|
23SDH-502
|
Data Base Management System
|
3
|
0
|
2
|
4
|
5
|
|
23SDH-503
|
Internet of Things
|
3
|
0
|
2
|
4
|
5
|
|
23SDT-504
|
Design and Analysis of Algorithms
|
3
|
0
|
0
|
3
|
3
|
|
23SMT-505
|
Statistical Methods
|
3
|
1
|
0
|
4
|
4
|
|
23SMT-506
|
Mathematical Methods for Data Sciences
|
3
|
1
|
0
|
4
|
4
|
|
23SDH-551
|
Data Visualization
|
3
|
0
|
2
|
4
|
5
|
|
23SDH-552
|
Big Data
|
3
|
0
|
2
|
4
|
5
|
|
23SDH-553
|
Machine Learning
|
3
|
0
|
2
|
4
|
5
|
|
23SMT-555
|
Statistical Inference
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-556
|
Sampling and Design of Experiments
|
3
|
1
|
0
|
4
|
4
|
|
23SDH-601
|
Business Analytics
|
3
|
0
|
2
|
4
|
5
|
|
23SDH-602
|
Deep Learning
|
3
|
0
|
2
|
4
|
5
|
|
Program Elective Basket
|
|
Course Code
|
Course Name
|
L
|
T
|
P
|
C
|
CH
|
|
23SDT-607
|
Number Theory and Cryptography
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-608
|
Pattern Recognition
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-609
|
Regression Analysis
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-610
|
Information Retrieval
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-611
|
Theory of Computation
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-612
|
High Performance Computing (HPC)
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-613
|
Parallel and Distributed Computing
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-614
|
Soft computing
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-615
|
Time Series Analysis
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-616
|
Business Intelligence
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-617
|
Information Security & Cryptography
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-618
|
Supply Chain Management
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-619
|
Bayesian Data Analysis
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-620
|
Multivariate Analysis
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-621
|
Graph Theory and Discrete Mathematics
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-622
|
Clustering technique
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-623
|
Artificial Intelligence
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-624
|
Computer Networks
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-625
|
Text Mining
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-626
|
Data Mining and Data Warehousing
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-627
|
Natural Language Processing
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-628
|
Signal Processing
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-629
|
Image Processing
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-630
|
Network Security
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-631
|
Social Network Aggregators
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-632
|
Evolutionary Algorithms and Numerical
Optimization
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-633
|
Web Intelligence
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-634
|
Business Data Mining
|
4
|
0
|
0
|
4
|
4
|
|
23SDT-635
|
Risk Management Financial Data
|
4
|
0
|
0
|
4
|
4
|
|
Ability Enhancement Basket
|
|
Course Code
|
Course Name
|
L
|
T
|
P
|
C
|
CH
|
|
23SDP-554
|
Fundamentals of LaTeX
|
0
|
0
|
2
|
1
|
2
|
|
23SDT-558
|
Software Management System
|
3
|
0
|
0
|
3
|
3
|
|
23SDT-559
|
Web Technologies
|
3
|
0
|
0
|
3
|
3
|
|
23SDT-606
|
Expert Systems
|
3
|
0
|
0
|
3
|
3
|
|
Skill Enhancement Basket
|
|
Course Code
|
Course Name
|
L
|
T
|
P
|
C
|
CH
|
|
23SDN-557
|
*Seminar
|
0
|
2
|
0
|
2
|
2
|
|
23SDT-605
|
Domain Aptitude
|
2
|
0
|
0
|
2
|
2
|
|
23TDP-620
|
Professional Soft Skills – I
|
0
|
0
|
4
|
2
|
4
|
|
23TDT-621
|
Aptitude & Reasoning-I
|
0
|
4
|
0
|
4
|
4
|
|
23TDP-721
|
Professional Soft Skills – II
|
0
|
0
|
2
|
1
|
2
|
|
23TDT-722
|
Aptitude and Reasoning - II
|
0
|
2
|
0
|
2
|
2
|
|
Value-Added Courses (One Course Per
Semester)
|
|
SN
|
Course Code
|
Title
|
Category
|
L
|
T
|
P
|
C
|
CH
|
|
1
|
23SMV-316
|
Application of MATLAB in Mathematics
|
Value Added
|
2
|
0
|
0
|
2
|
2
|
|
2
|
23SMV-317
|
Introduction and Applications of R-Programming in
Mathematics
|
Value Added
|
2
|
0
|
0
|
2
|
2
|
|
3
|
23SMV-318
|
Introduction and Applications of Python Programming
|
Value Added
|
2
|
0
|
0
|
2
|
2
|
|
4
|
23SMV-319
|
Introduction and Applications of Machine Learning
|
Value Added
|
2
|
0
|
0
|
2
|
2
|
|
5
|
23SMV-320
|
Introduction to Internet of Things
|
Value Added
|
2
|
0
|
0
|
2
|
2
|
|
6
|
23SMV-322
|
Fundamentals of Artificial Intelligence
|
Value Added
|
2
|
0
|
0
|
2
|
2
|
|
7
|
23SMV-322
|
Basics of Java Programming
|
Value Added
|
2
|
0
|
0
|
2
|
2
|
|
8
|
23SMV-323
|
Merchant Banking and Financial Service
|
Value Added
|
2
|
0
|
0
|
2
|
2
|
|
9
|
23SMV-324
|
Fundamentals of Marketing Management
|
Value Added
|
2
|
0
|
0
|
2
|
2
|
|
10
|
23SMV-325
|
Fundamental of Stock Market
|
Value Added
|
2
|
0
|
0
|
2
|
2
|
|
11
|
23SMV-326
|
Digital Marketing
|
Value Added
|
2
|
0
|
0
|
2
|
2
|
|
12
|
23SMV-327
|
Fundamentals of Financial Mathematics
|
Value Added
|
2
|
0
|
0
|
2
|
2
|
|
13
|
23SMV-328
|
Fundamentals of Excel
|
Value Added
|
2
|
0
|
0
|
2
|
2
|
|
14
|
23SMV-329
|
Search Engine Optimizations
|
Value Added
|
2
|
0
|
0
|
2
|
2
|
