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B.Sc. (Hons/By Research)- Computational Mathematics and Statistics

B.Sc. (Hons/By Research)- Computational Mathematics and Statistics

Sharda School of Basic Sciences & Research (SBSR)

  • Programme Code

    SBR0310

  • Level

    Graduate

  • Duration

    4 Years

About the Programme

B.Sc. (Hons/By Research) Mathematics- Computational Mathematics and Statistics
 

Course Fee
For National Students
1st Year 108150 2nd Year 111395 3rd Year 114736 4th Year 118178
For International Students
Fee Per Semester Fee Per Year
NA 3400*
Programme Structure

S. No.

Course Code

Course Name

Teaching Load

Credits

Pre-Requisite/ Co-Requisite

Type of Course:

1. CC     2. DSE

3. OPE 4. SEC

5. AEC 6. VAC

  1. Project

 

THEORY

 

L

T

P

TOTAL

(hrs)

 

 

 

1.

MSM101

Foundation Course in Mathematics

4

0

0

4

4

Basic Mathematics up to 10+2

CC

2.

CMS102

Descriptive Statistics

3

0

0

3

3

Basic Mathematics up to 10+2

OPE

3.

CSE113

Programming for Problem Solving

3

0

0

3

3

 

DSE

(Multi/Inter-discpli)

4.

VOM103

Essential Excel Skills for Business

0

0

6

6

3

 

SEC

5.

ARP101

Communicative English-1

1

0

2

3

2

 

AEC

6.

VAC103

Environmental Management

3

0

0

3

3

 

VAC

 

PRACTICALS

 

 

 

 

 

 

 

 

7.

CMS151

Foundation Course in Mathematics Lab

0

0

2

2

1

Co-requisite MSM101

CC

8.

CSP113

Programming for Problem Solving Lab

0

0

2

2

1

Co-requisite CSE113

DSE

(Multi/Inter-discpli)

TOTAL CREDITS

 

 

 

 

20

 

 

S. No.

Course Code

Course Name

Teaching Load

Credits

Pre-Requisite/ Co-Requisite

Type of Course:

1. CC     2. DSE

3. OPE 4. SEC

5. AEC 6. VAC

  7.Project

 

THEORY

 

L

T

P

TOTAL

(hrs)

 

 

 

1.

CMS131

Matrix Analysis and Linear Algebra

4

0

0

4

4

Pre-requisite MSM101

CC

2.

CMS132

Mathematical Expectations & Probability Distributions

3

0

0

3

3

Pre-requisite CMS102

OPE

3.

CSE242

Data Structures

3

0

0

3

3

Pre-requisite CSE113

CC

4.

VOM104

Advanced Excel Skills for Business

0

0

6

6

3

Pre-requisite VOM103

SEC

5.

ARP102

Communicative English-2

1

0

2

3

2

Pre-requisite ARP101

AEC

6.

VAC110

Yoga for Holistic Health

0

1

4

5

3

 

VAC

 

PRACTICALS

 

 

 

 

 

 

 

 

7.

CMS171

Matrix Analysis and Linear Algebra Lab

0

0

2

2

1

Co-requisite CMS131

CC

8.

CSP242

Data Structures Lab

0

0

2

2

1

Co-requisite CSE113

CC

TOTAL CREDITS

 

 

 

 

20

 

 

S. No.

Course Code

Course Name

Teaching Load

Credits

Pre-Requisite/ Co-Requisite

Type of Course:

1. CC     2. DSE

3. OPE 4. SEC

5. AEC 6. VAC

  7.Project

 

THEORY

 

L

T

P

TOTAL

(hrs)

 

 

 

1.

MSM312

Discrete Mathematics

3

1

0

4

4

Pre-requisite MSM101

DSE

2.

CMS202

Calculus

3

0

0

3

3

Pre-requisite MSM101

CC

3.

BDA216

Statistical Inference

4

0

0

4

4

Pre-requisite CMS132

CC

4.

CSE253

Object Oriented Programming using JAVA

2

0

0

2

2

Pre-requisite CSE103

OPE

5.

VOM203

Basic Excel Modelling

0

0

6

6

3

Pre-requisite VOM104

SEC

6.

ARP207

Logical Skill Building & Soft Skills

0

1

2

3

2

Pre-requisite ARP101

AEC

 

PRACTICALS

 

 

 

 

 

 

 

 

7.

CMS251

Calculus Lab

0

0

2

2

1

Co-requisite CMS202

CC

8.

BDA261

Statistical Inference Lab

0

0

2

2

1

Co-requisite BDA216

CC

9.

CSP243

Object Oriented Programming using JAVA Lab

0

0

2

2

1

Co-requisite CSE253

OPE

10.

RBL001

Research Based Learning-I

(RBL-1)

0

0

2

2

0

Pre-requisite ARP102

Project

(Non-graded Qualifying)

TOTAL CREDITS

 

 

 

 

21

 

 

S. No.

Course Code

Course Name

Teaching Load

Credits

Pre-Requisite/ Co-Requisite

Type of Course:

1. CC     2. DSE

3. OPE 4. SEC

5. AEC 6. VAC

  7.Project

 

THEORY

 

L

T

P

TOTAL

(hrs)

 

 

 

1.

CMS231

Real Analysis

4

0

0

4

4

 

CC

2.

CMS232

Ordinary Differential Equations and Laplace Transforms

4

0

0

4

4

Pre-requisite CMS202

CC

3.

BDA214

Sampling Theory

4

0

0

4

4

Pre-requisite BDA216

DSE

4.

CMS233

Formal Languages and Automata Theory

3

0

0

3

3

Pre-requisite CSE253

OPE

5.

ARP306

Campus to Corporate

0

1

2

3

2

Pre-requisite ARP207

AEC

 

PRACTICALS

 

 

 

 

 

 

 

 

6.

CMS271

Differential Equations and Laplace Transforms Lab

0

0

2

2

1

Co-requisite CMS232

CC

7.

BDA272

Sampling Theory Lab

0

0

2

2

1

Co-requisite BDA214

DSE

8.

RBL002

Research Based Learning-II

(RBL-2)

0

0

2

2

0

Pre-requisite RBL001

Project

(Non-graded Qualifying)

TOTAL CREDITS

 

 

 

 

19

 

 

S. No.

Course Code

Course Name

Teaching Load

Credits

Pre-Requisite/ Co-Requisite

Type of Course:

1. CC     2. DSE

3. OPE 4. SEC

5. AEC 6. VAC

  7.Project

 

THEORY

 

L

T

P

TOTAL

(hrs)

 

 

 

1.

CMS301

Complex Analysis

5

0

0

5

5

Pre-requisite CMS231

CC

2.

CMS302

Mathematical Modelling

4

0

0

4

4

Pre-requisite CMS202

CC

3.

BDA319

Regression Analysis

3

0

0

3

3

Pre-requisite BDA216

CC

4.

BDA320/

BDA321

Advanced Statistical Analysis/

Experimental Design

2

0

0

2

2

 

DSE

(Multi/Inter-discpli)

 

PRACTICALS

 

 

 

 

 

 

 

 

5.

CMS351

Mathematical Modelling Lab

0

0

2

2

1

Co-requisite CMS302

CC

6.

BDA356

Regression Analysis Lab

0

0

2

2

1

Co-requisite CMS303

CC

7.

INC001

Industry Connect

0

0

4

4

2

 

Project

8.

RBL003

Research Based Learning-III

(RBL-3)

0

0

2

2

1

Pre-requisite RBL002

Project

9.

BDA359/

BDA363

Advanced Statistical Analysis Lab/

Experimental Design Lab

0

0

2

2

1

 

DSE

(Multi/Inter-discpli)

TOTAL CREDITS

 

 

 

 

20

 

 

S. No.

Course Code

Course Name

Teaching Load

Credits

Pre-Requisite/ Co-Requisite

Type of Course:

1. CC     2. DSE

3. OPE 4. SEC

5. AEC 6. VAC

  7.Project

 

THEORY

 

L

T

P

TOTAL

(hrs)

 

 

 

1.

CMS331

Numerical Methods

4

0

0

4

4

Pre-requisite CMS202, 231

CC

2.

CMS332

Introduction to Partial Differential Equations

4

0

0

4

4

Pre-requisite CMS232

CC

3.

BDA323

Multivariate Data Analysis

3

0

0

3

3

Pre-requisite CMS303

CC

4.

CSE031

Digital Image Processing

3

0

0

3

3

Pre-requisite CMS233

OPE

 

PRACTICALS

 

 

 

 

 

 

 

 

5.

CMS371

Numerical Methods Lab

0

0

2

2

1

Co-requisite CMS331

CC

6.

CMS372

Introduction to Partial Differential Equations Lab

0

0

2

2

1

Co-requisite CMS332

CC

7.

BDA361

Multivariate Data Analysis Lab

0

0

2

2

1

Co-requisite CMS333

CC

8.

CCU108

Community Connect

0

0

4

4

2

 

Project

(Multi/Inter-discpli)

9.

RBL004

Research Based Learning-IV

(RBL-4)

0

0

2

2

1

Pre-requisite RBL003

Project

TOTAL CREDITS

 

 

 

 

20

 

 

S. No.

Course Code

Course Name

Teaching Load

Credits

Pre-Requisite/ Co-Requisite

Type of Course:

1. CC     2. DSE

3. OPE 4. SEC

5. AEC 6. VAC

7.Project

 

THEORY

 

L

T

P

TOTAL

(hrs)

 

 

 

1.

CMS401

Numerical Solution of Differential Equations

3

0

0

3

3

Pre-requisite CMS232, 331,332

CC

2.

CMS402

Fluid Dynamics

4

0

0

4

4

Pre-requisite CMS301

CC

3.

MDA110/

MDA112

Time Series, Forecasting and Index Number/

Econometrics

3

0

0

3

3

 

DSE/CC*

4.

MDA111/

MDA113/

MMT107/

MMT202/

CMS405/

CMS406/

CMS404/

CMS407

Non-Parametric Statistical Inference/

Survival Analysis/

Topology (NPTEL)/

Measure Theory (NPTEL)/

Computational Commutative Algebra (NPTEL)/

Measure and Integration (NPTEL)/

Introduction to Methods of Applied Mathematics (NPTEL)/

Competitive Mathematics (NPTEL)

4

0

0

4

4

 

DSE/CC*

5.

OPE

Open Elective-1

4

0

0

4

4

 

OPE

 

PRACTICALS

 

 

 

 

 

 

 

 

6.

CMS451

Numerical Solution of Differential Equations Lab

0

0

2

2

1

Co-requisite CMS401

CC

7.

MDA155/

MDA156

Time Series, Forecasting and Index Number Lab/

Econometrics Lab

0

0

2

2

1

 

DSE/CC*

TOTAL CREDITS

 

 

 

 

20

 

 

S. No.

Course Code

Course Name

Teaching Load

Credits

Pre-Requisite/ Co-Requisite

Type of Course:

1. CC     2. DSE

3. OPE 4. SEC

5. AEC 6. VAC

  7.Project

 

THEORY

 

L

T

P

TOTAL

(hrs)

 

 

 

1.

CMS431

Finite Element Methods

4

0

0

4

4

Pre-requisite CMS401

CC

2.

CMS432

Optimization Techniques

4

0

0

4

4

Pre-requisite CMS131,202,232

CC

3.

CMS433

Integral Equations & Calculus of Variations

4

0

0

4

4

Pre-requisite CMS131,202,232

CC

4.

MDA115/

MDA116/

MMT205/

CMS435/

CMS436/

CMS437

Demography/

Statistical Quality Control/

Functional Analysis/

Algebraic Combinatorics/

Fourier Analysis and its Applications/

Applied Linear Algebra in AI and ML

4

0

0

4

4

 

DSE/CC*

5.

OPE

Open Elective-2

4

0

0

4

4

 

OPE

TOTAL CREDITS

 

 

 

 

20

 

 

Programme Curricula
S.No. Academic year Curricula Link

1

2023-24 View Details
Eligibility Criteria
For National Students
  • Sr. Secondary (10+2) with minimum 55% marks in PCM/PCB.
  • Proficiency in English Communication.
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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