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B.Sc. (Hons.)-Data Science & Analytics

B.Sc. (Hons.)-Data Science & Analytics

School of Basic Sciences & Research (SBSR)

  • Program Code

    00501

  • Level

    Graduate

  • Duration

    3 Years

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Average Rating : 2.8
About the Programme

Course Fee
Fee Per Semester Fee Per Year
For National Students 46 500 90 000
For International Students 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.

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