1st Semester

Sl. No.   Subject Code Subject Name Class Load/Week Credit
L T P
1 Core Courses PDS1001 Probability and Statistics 3 0 0 3
2 PDS1002 Pattern Recognition and Machine Learning 3 0 0 3
3 PDS1003 Database Management System 3 0 0 3
4 PDS1004 IoT and Cloud Computing 3 0 0 3
5 CBCS PBB1007 Offered by other centres / departments / MOOC Courses 3 1 0 4
6 Labs PDS1101 Programming and Data Structure Lab 0 0 3 3
7 PDS1102 Machine Learning Lab 0 0 3 2
Total Credits       21

2nd Semester


Sl. No.
  Subject Code Subject Name Class Load/Week Credit
L T P
1 Core Courses PDS2001 Big Data Analytics 3 0 0 3
2 PDS2002 Advanced Machine Learning 3 0 0 3
3 PDS2003 Blockchain Technology and Applications 3 0 0 3
4 PDS2004 Elective 1 3 0 0 3
6 CBCS PBB2007 Offered by other centres / departments / MOOC Courses 3 1 0 4
7 Labs PDS2101 Big Data Analytics Lab 0 0 3 2
8 PDS2102 Advanced Machine Learning Lab 0 0 3 2
9 PDS2103 IoT and Cloud Computing Lab 0 0 3 2
Total Credits       22

Internship (during Semester Break) in Industry / Academic Institutions.

3rd Semester


Sl. No.
  Subject Code Subject Name Class Load/Week Credit
L T P
1 Core Courses PDS3101 Data Visualization 3 0 0 3
2 PDS3102 Elective-2 3 0 0 3
3 Sessional PDS3201 Thesis Part-I with Seminar 14
4 PDS3202 Internship Project with Seminar 4
Total Credits       24

4th Semester


Sl. No.
Subject Code Subject Name Class Load/Week Credit
L T P
1. PDS4201 Thesis Part-II
with Seminar and Viva-Voce
24
Total Credits       24
Elective 1 Elective 2
Business Analytics Information & System Security
Data Security Social and Web Media Analytics
Advanced Web Technology Natural Language Processing
Optimization Techniques Speech and Signal Processing
Biostatistics and Medical Analytics Applied Statistics

Total Credits = [21+22+24+24] = 91

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