Dept. of S & H

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B.Sc (Maths, Statistics, Computer Science) is one of the highly demanded and esteem degree course carry out at the graduate level. This course is designed to develop graduates with the key practical skills and interdisciplinary knowledge. The students are involved in completing pre-planned lab work based on text books and reading and adapting to well known theories. It offers theoretical as well as practical knowledge in the subjective areas and beneficial for students who wish to pursue multi and inter-disciplinary science careers in future.

Programme Educational Objectives (PEOs)

PEO 1: Graduates can pursue higher studies in related fields including management.

PEO 2: Graduates are provided with domain knowledge to get employed in IT industries, Scientific & Research organizations and allied industries.

PEO 3: Graduates will develop positive attitude and life skills with a sense of environmental consciousness to become a responsible citizen with moral and ethical values.

Programme Specific Outcomes (PSOs)

PSO1: Graduates will acquire a comprehensive knowledge and sound understanding of fundamentals of Mathematics, computer and statistics and develop practical, analytical and mathematical skills.

PSO2: Graduates will be prepared to acquire a range of general skills, to solve problems, to evaluate information, to use computers productively, to communicate with society effectively and learn independently.

PSO3: Graduates will acquire a job efficiently in diverse fields such as Science, Education, Banking, Public Services, Business etc.,

Programme Outcomes (POs)

PO1-Understanding and Thinking: understanding of mathematical concepts and fundamental principles and theories related to various scientific phenomena and their relevance in day-to-day life.

PO2-Effective Communication: Speak, read, write and listen clearly in person and through electronic media in English and in one Indian language, and make meaning of the world by connecting people, ideas, books, media and technology.

PO3-Design and Application: Select, design and apply appropriate experiment techniques along with IT tools to solve various problems.

PO4-Ethics: Recognize different value systems including your own, understand the moral dimensions of your decisions and accept responsibility for them.

PO5-Environment and Sustainability: Understand the issues of environmental contexts and sustainable development.

PO6-Self-directed and Life-long Learning: Acquire the ability to engage in independent and life-long learning in the broadest context socio-technological changes.


I Year (R17 Regulation) I Semester
Code Subject L P C

17HS001

English I

3

3

17HS002

English Proficiency and Communication Skills I

3

3

17HS003

Environmental Studies

2

2

17HS004

Fundamentals of Computer Science I

2

2

17HS004A

Fundamentals of Computer Science I Lab

2

1

17HS005

Differential Equations

5

5

17HS006

Descriptive Statistics and Probability

4

4

17HS007

Descriptive Statistics and Probability Lab

2

1

17HS008

Computer Fundamentals and Photoshop

4

4

17HS009

Computer Fundamentals and Photoshop Lab

2

1

                  
I Year (R17 Regulation) II Semester
Code Subject L P C

17HS011

English II

3

3

17HS012

English Proficiency Communication Skills II

3

3

17HS013

General Studies I

2

2

17HS014

Fundamentals of Computer Science II

2

2

17HS015

Geometry

5

5

17HS016

Mathematical Expectations and Probability Distributions

4

4

17HS017

Mathematical Expectations and Probability Distributions Lab

2

1

17HS018

Programming in C

4

4

17HS019

Programming in C Lab

2

1

                  
II Year (R17 Regulation)

III Semester

Code Subject L P C

17HS020

Business English Communication I

3

3

17HS021

Business English Communication II

3

3

17HS022

Analytical Skills I

2

2

17HS023

General Studies II

2

2

17HS024

Group Theory

5

5

17HS025

Statistical Methods

4

4

17HS027

Statistical Methods Lab

2

1

17HS026

Data Structures

4

4

17HS028

Data Structures Lab

2

1

                  
II Year (R17 Regulation)

IV Semester

Code Subject L P C

17HS029

Analytical Skills II

2

2

17HS030

General Studies III

2

2

17HS031

Employability Skills

2

2

17HS032

Human Values / Professional Ethics

2

2

17HS033

Real Analysis

5

5

17HS034

Statistical Inference

4

4

17HS035

Statistical Inference Lab

2

1

17HS036

Object Oriented Programming using Java

4

4

17HS037

Object Oriented Programming using Java Lab

2

1

                  
III Year (R17 Regulation)

V Semester

Code Subject L P C

17HS038

Ring Theory and Vector Calculus

5

5

17HS039

Linear Algebra

5

5

17HS040

Sampling Techniques and Design of Experiments

4

4

17HS041

Sampling Techniques and Design of Experiments Lab

2

1

17HS042

Quality, Reliability

4

4

17HS043

Quality, Reliability Lab

2

1

17HS044

DBMS

4

4

17HS045

DBMS Lab

2

1

17HS046

Software Engineering

4

4

17HS047

Software Engineering Lab

2

1

                  
III Year (R17 Regulation)

VI Semester

Code Subject L P C

 

17HS048

17HS049

17HS050

Paper – 7*

Laplace Transformations

Numerical Analysis

Number Theory

5

5

 

 

17HS051

17HS052

17HS099

 

17HS053

17HS054

17HS099

 

17HS055

17HS056

17HS099

Cluster Electives**

Cluster (A)

Integral Transformations

Advanced Numerical Analysis

Project Work

Cluster (B)

Mechanics

Fluid Mechanics

Project Work

Cluster (C)

Graph Theory

Applied Graph Theory

Project Work

5+5

5+5+6

 

17HS057

17HS058

Paper – 7*

Applied Statistics

Computer Programming and Data Analytics

5

5

 

17HS059

17HS060

17HS099

Cluster Electives Cluster (D)

Operations Research

Econometrics

Project Work

5+5

5+5+6

 

17HS061

17HS062

17HS063

Paper – 7*

Operating Systems

Computer Network

Web Technologies

5

5

 

 

17HS064

17HS065

17HS066

17HS099

 

17HS067

17HS068

17HS069

17HS099

Cluster Electives

Cluster (E)

Foundations of Data Science

Big Data Technology

Computing for Data Analysis

Project Work

Cluster (F)

Distributed Systems

Cloud Computing

Grid Computing

Project Work

5+5

5+5+6

                  
    L=Lecture;    P=Practicals;    To=Total; C=Credits;

Programme Name B.Sc
Level Under Graduation
Programme Specific Enquiries 0863 - 2344758
Admission Enrollment and General Enquiries 0863-2344777, 1800-425-2529
HoD Contact Number 9866279979

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UG & PG Admissions 2020