Bachelor of Science (Hons.)-Data Science & Analytics
School of Basic Sciences & Research (SBSR)
-
Program Code
00501
-
Level
Graduate
-
Duration
3 Years
Course Fee
For National Students
1st Year 90000 | 2nd Year 92700 | 3rd Year 95480 |
For International Students
Fee Per Semester | Fee Per Year |
---|---|
1950 | 3800* |
Syllabus
I. Course Scheme :
S.No. |
Course Code |
Course Title |
L |
T |
P |
Credits |
  |
1 |
ENG 107/ ENG 109 |
Basic/ Intermediate English |
2 |
0 |
0 |
2 |
|
2 |
BDA 101 |
Statistical I (Probability) |
3 |
1 |
1 |
5 |
|
3 |
MSM 101 |
Foundation course in Mathematics |
3 |
1 |
0 |
4 |
|
4 |
BDA 102 |
Statistical II (Descriptive Statistics) |
3 |
1 |
1 |
5 |
|
5 |
BDA103 |
Foundation computer science |
3 |
1 |
1 |
5 |
|
6 |
BDA104 |
Statistical Structure in data Using R |
3 |
1 |
1 |
5 |
|
  |
  |
Total Hours |
30 |
  |
  |
  |
|
  |
Credits in Term 1 |
  |
  |
  |
  |
26 |
S.No. |
Course Code |
Course Title |
L |
T |
P |
Credits |
1 |
MSM 106 |
Linear Algebra |
3 |
1 |
1 |
5 |
2 |
BDA105 |
Statistical III (Sampling) |
3 |
1 |
1 |
5 |
3 |
MSM312 |
Discrete mathematics |
3 |
1 |
0 |
4 |
4 |
EVS 106 |
Environmental Studies |
3 |
0 |
0 |
3 |
5 |
BDA106 |
Oops using Python |
3 |
1 |
1 |
5 |
6 |
BDA106 |
Data Based Management System |
3 |
0 |
1 |
4 |
  |
  |
Total Hours |
30 |
  |
  |
  |
  |
Credits in Term 2 |
  |
  |
  |
  |
26 |
S.No. |
Course Code |
Course Title |
L |
T |
P |
Credits |
|
1 |
MSM 213 |
Numerical Analysis |
3 |
1 |
1 |
5 |
|
2 |
BDA201 |
Data Visualization |
3 |
1 |
1 |
5 |
|
3 |
BDA202 |
Data Preparation |
3 |
1 |
1 |
5 |
|
4 |
BDA203 |
Text Analytics |
3 |
1 |
1 |
5 |
|
5 |
BDA204 |
Research Methodology |
2 |
0 |
0 |
2 |
|
6 |
CCU401 |
Community Connect |
0 |
0 |
2 |
2 |
|
  |
  |
Total Hours |
30 |
  |
  |
  |
|
  |
Credits in Term 3 |
  |
  |
  |
24 |
S.No. |
Course Code |
Course Title |
L |
T |
P |
  |
1 |
MSM214 |
Ordinary Differential equation |
3 |
1 |
0 |
4 |
2 |
BDA205 |
Inference |
3 |
1 |
1 |
5 |
3 |
BDA206 |
Data Ware housing and Data mining |
3 |
0 |
1 |
4 |
4 |
BDA207 |
Time series, forecasting and Index numbers |
3 |
1 |
1 |
5 |
5 |
BDA208 |
Multivariate Analysis |
3 |
1 |
1 |
5 |
6 |
BDA209 |
Statistical Simulation |
3 |
0 |
0 |
3 |
  |
  |
Total Hours |
30 |
  |
  |
  |
  |
Credits in Term 4 |
  |
  |
  |
26 |
S.No. |
Course Code |
Course Title |
L |
T |
P |
Credits |
|
1 |
BDA301 |
Statistical Analysis (Count Data and survival Analysis) |
3 |
1 |
1 |
5 |
|
2 |
BDA302 |
Recommender Systems |
3 |
1 |
1 |
5 |
|
3 |
BDA303 |
Machine learning |
3 |
1 |
1 |
5 |
|
4 |
BDA304 |
Big Data Analytics |
3 |
1 |
1 |
5 |
|
5 |
XXX |
Elective-I |
3 |
1 |
1 |
5 |
|
6 |
  |
Total Hours |
30 |
  |
  |
  |
|
  |
Credits in Term 5 |
  |
  |
  |
25 |
S.No. |
Course Code |
Course Title |
L |
T |
P |
Credits |
1 |
BDA305 |
Deep Learning |
3 |
0 |
1 |
4 |
2 |
XXX |
Elective-II |
3 |
0 |
1 |
4 |
3 |
XXX |
Elective-III |
3 |
0 |
1 |
4 |
4 |
XXX |
Elective-IV |
3 |
0 |
1 |
4 |
5 |
BDA306 |
Capstone project |
8 |
0 |
0 |
8 |
6 |
BDA349 |
Research report writing and Presentation |
0 |
0 |
1 |
1 |
  |
  |
Total Hours |
30 |
  |
  |
  |
  |
Credits in Term 6 |
  |
  |
  |
25 |
 
Total Credits: _152
Minimum Credits essential for the Programme:_____
Eligibility Criteria
For National Students | Sr. Secondary (10+2) with minimum 55% marks in PCM / Statistics / Computer / Commerce / Economics |
For International Students | The eligibility criterion for all programs for international applicants is minimum 50% in the qualifying examination and having studied the pre-requisite subjects for admission in to the desired program. |