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B.Sc. in Mathematics, Statistics, Computer Science(B.Sc. (MStCs))

Course Duration

6 Semesters
(3 Years)

Eligibility Criteria

Passing in PUC /10+2 with Biology as compulsory subject. Scoring at least 45% marks (40% in case of candidates belonging to SC/ST category) from any recognized Board /Council or any other qualification recognized as equivalent there to.


A futuristic programme for the demands of the future

The aim of this triple major programme is to provide “a cut above the rest", manpower to the ever-growing demands of the industry and to prepare students for higher studies and research. Students will be able to hone their critical thinking skills, become independent thinkers, trouble shooters in experiments, able to become good researchers and expand knowledge in three major subjects. Our graduates are in high demand from a broad range of employers, with varied career options.

Course Curriculum

01Language - II:

  • Kannada
  • Hindi
  • Additional English

02Functional English – I


04Basic Statistics - I

05Problem Solving Techniques using C

06Constitution of India and Professional Ethics

07 Practicals

  • Mathematics Lab - I
  • Basic Statistics Lab - I
  • C Programmeming Lab

01Language - II:

  • Kannada
  • Hindi
  • Additional English

02Functional English – II


04Basic Statistics - II

05Data Structures Using C

06Environmental Science

07 Sports/Yoga/music/dance/theatre

08 Practicals

  • Mathematics Lab - II
  • Basic Statistics Lab - II
  • Data Structures Lab

01Language - II:

  • Kannada
  • Hindi
  • Additional English

02Communicative English - I


04Statistical Inference - I


06Classical Optimization

07 Practicals

  • Mathematics Lab - III
  • Statistical Inference Lab - I
  • RDBMS Lab

01Language - II:

  • Kannada
  • Hindi
  • Additional English

02Communicative English - II

03Language – II:

  • Kannada
  • Hindi
  • Additional English


05Statistical Inference - II

06Operating System & Shell Programme UsingLINUX

07 Soft Skill Training

08 Practicals

  • Mathematics Lab - IV
  • Statistical Inference Lab - II
  • LINUX Lab



03Design and Analysis of Experiments

04Sampling Theory

05JAVA Programmeming

06Soft Core :

  • Complex Analysis
  • Fluid Dynamics
  • Number Theory

07 Soft Core :

  • Statistical Quality Control(SQC)
  • Reliability and Survival Analysis
  • Data Mining

08 Soft Core :

  • Web Programmeming
  • Visual Programmeming
  • Computer Graphics

05Soft Skill Training


  • Design of Experiments Lab
  • JAVA Programmeming Lab
  • Web Programmeming Lab / Visual Programmeming Lab / Computer Graphics Lab

01Numerical Methods

02Operations Research

03Software Engineering

04Soft Core :

  • Fuzzy Mathematics
  • Topology
  • Discrete Mathematics and Graph Theory

05Soft Core :

  • Applied Statistics
  • Econometrics
  • Actuarial Statistics

06Soft Core :

  • Computer Networks
  • Design and Analysis of Algorithms
  • Computer Architecture

07 MOOC/SWAYAM/Internship

08 Skill Development Courses


  • Mathematics-V Lab
  • Numerical Methods – Lab
  • Operations Research Lab
  • Computer Science Project Work

Programme Outcomes (POs)

On completion of this programme, a student will be able to:

PO 1

Explain mathematical methods and their applications

PO 2

Explain statistical methods and their applications

PO 3

Solve well-formulated mathematical equations

PO 4

Collect, organize, analyse, present and interpret data

PO 5

Develop algorithms to solve mathematical problems

PO 6

Develop computer programmes for the algorithms developed to solve mathematical problems

PO 7

Use appropriate computational tools and techniques for solving mathematical problems

PO 8

Conduct experiments as per the procedures, tabulate data and interpret results

PO 9

Work as a member of a scientific project team and communicate across teams

Programme Specific Outcomes

Develop critical, analytical and problem-solving skills at primary level Make graduates employable in scientific organisations Assume administrative positions in various types of organisations Pursue a career in academics or scientific organisations as a researcher

The Programme Educational Objectives are to prepare the students to:

  • PSO1 - Work alongside engineering, medical, ICT professionals and scientists to assist them in scientific problem solving
  • PSO2 - Act as administrators in public, private and government organisations or business administrator or entrepreneur with further training and education
  • PSO3 - Pursue masters and doctoral research degrees to work in colleges, universities as professors or as scientists in research establishments

Career Opportunities

  • IT Electronics
  • Defense Communications
  • Health
  • Energy
  • Aerospace
  • Data Analytic
  • Data Scientist
  • Business and Commerce for their analytical
  • Logical approach to unraveling complex issues.
Application Fee
  • Indian / SAARC Nationals₹ 500
  • NRI Fee₹ 2000
  • Foreign NationalsUS$ 50