Become a Digital Architect with BTech Mathematics and Computing

Professionals with a BTech in Mathematics and Computing are in high demand across industries due to their unique blend of mathematical prowess and computational skills. In today’s data-driven world, these individuals play a pivotal role in tackling complex problems, developing innovative solutions, and harnessing the power of data. Their expertise in analysing vast datasets, creating algorithms, and leveraging computational models is sought after in fields like technology, finance, healthcare, and research. As industries increasingly rely on data-driven decision-making and technological advancements, the demand for BTech Mathematics and Computing professionals continues to surge, highlighting their integral role in driving innovation and problem-solving in diverse sectors.

BTech Mathematics and Computing Syllabus

The syllabus of BTech Mathematics and Computing is divided into 8 semesters

Semester 1 (Chemistry Cycle)

  • Engineering Mathematics‑1

  • Engineering Chemistry

  • Introduction to Computer Science and Engineering

  • Engineering Graphics

  • Kannada Kali

Semester 1 (Physics Cycle)

  • Engineering Mathematics‑1

  • Engineering Physics

  • Introduction to Computer Science and Engineering

  • Workshop Practice

  • English Communication

Semester 2 (Physics Cycle)

  • Engineering Mathematics‑2

  • Engineering Physics

  • Introduction to Electrical and Electronics Engineering

  • Programming in C

  • Workshop Practice

  • Environmental Studies

  • English Communication

Semester 2 (Chemistry Cycle)

  • Engineering Mathematics‑2

  • Engineering Chemistry

  • Introduction to Electrical and Electronics Engineering

  • Programming in C

  • Engineering Graphics

  • Environmental Studies

  • Kannada Kali

Semester 3

  • Linear Algebra

  • Probability and Statistics

  • Discrete Mathematics

  • Logic Design

  • Linear Algebra

  • Data Structures and Algorithms

  • Essence of Indian Knowledge System (Value Based Course)

  • Internship‑1 (Carried out after Semester 2)

Semester 4

  • Complex Analysis and Vector Calculus

  • Optimisation Techniques – 1

  • Design and Analysis of Algorithm

  • System Architecture and Programming

  • Database Systems

  • Indian Constitution, Human Rights and Law

Semester 5

  • Mathematical Methods

  • Numerical Analysis

  • Graph Theory and Discrete Optimization

  • Computer Networks

  • Operating Systems

  • Yoga/​NSS/​NCC/​Sports

  • Employability Training‑1/​Placement Training

  • Internship‑2 (Carried out after Sem 4)

Semester 6

  • Introduction to Partial Differential Equations

  • Artificial Intelligence

  • Modern Application Development

  • Professional Core Elective‐​1 or Online Course

  • Open Elective‑1

  • Economics and Cost Estimation in Computer Engineering

  • Employability Training‑1/​Placement Training

Semester 7

  • Professional Core Elective‐​2 or Online Course

  • Professional Core Elective‐​3 or Online Course

  • Open Elective‐​1 or Online Course

  • Project Work‐​1

  • Internship

Semester 8

  • Project work ‑2

List of Professional Core Electives





software Development

Software Architecture

Principles and Practices of Software Testing

Service Oriented Architecture

coding and Cryptography

Information Theory and Coding

Computational Number Theory and Algebra

Number Theory and Elliptic Curve Cryptography

Cyber Security

Principles and Practices of Cryptography

Information Security and Protection

Number Theory and Elliptic Curve Cryptography

Mathematical Analysis

Advanced Mathematics

Introduction to Real Analysis


Artificial Intelligence

Computer Vision

Text Mining

Data Processing

Models of Computation

Information Theory and Coding

Quantum Computing

Theory of Computation

Applied Mathematics

Advanced Mathematics

Optimisation Techniques

Advanced Numerical Methods

Machine Learning

Mathematics for Machine Learning

Deep Learning and Applications

Natural Language Processing

Data Science and Analytics

Data Sciences Foundation

Data Processing

Data Analytics


Students are required to select:

  1. One Professional Core Elective Course in the 6th Semester from PCE‑1 Group.

  2. Two Professional Core Elective Courses in the 7th Semester, one each from PCE‑2 and PCE-3Groups.

Open Elective Courses

A number of open elective courses from various Faculties of RUAS are offered, as mentioned on the University’s website. Students can choose the Open Electives of their choice. The students are permitted to choose online electives from the list approved by the respective HoD and Dean.

Innovation Courses in Lieu of Open Elective Courses

Students can earn 3‑credits by participating in innovation activities as per the approved guidelines in lieu of Open Elective Courses. The activities could be related to any of the following:

a) Design Thinking and Innovation 

b) Skill Development

c) Industrial Problem Solving and Hackathons 

B Tech Mathematics and Computing Scope

The scope of B.Tech in Mathematics and Computing is vast and diverse. Graduates can explore careers in fields like: 

  • Data analysis,

  • Machine learning,

  • Software development,

  • Cryptography,

  • Financial modelling, and 

  • Scientific research

They can work across different domains such as technology, finance, healthcare, academia, environmental, Societal and more, leveraging their strong mathematical and computational skills to solve complex problems and drive innovation. The programme equips students to adapt to evolving technologies and contribute to cutting-edge advancements in various domains.

B Tech Mathematics and Computing Career Options

A BTech in Mathematics and Computing opens up a multitude of career paths across various industries. Here are some potential options:

  • Data Analyst

  • Software Developer

  • Machine Learning Engineer

  • Cryptographer

  • Quantitative Analyst

  • Research Scientist

  • Business Intelligence Analyst

  • Systems Analyst

  • Database Administrator

  • Academician

These career paths showcase the versatility and applicability of the skills gained through a BTech in Mathematics and Computing across technology, finance, research, and other sectors.

Become an Analytical Pioneer with a B.Tech. in Mathematics and Computing at M.S. Ramaiah University of Applied Sciences

The B.Tech. in Mathematics and Computing offers an interdisciplinary curriculum encompassing theoretical computer science, applied mathematics, machine learning, programming languages, and more. With the growing significance of AI and Machine Learning in various scientific and commercial domains, this undergraduate programme emphasises training students in these areas. 

It not only delves into traditional computation models like Turing Machine and Lambda Calculus but also introduces Quantum Computing, providing practical knowledge through experimentation and implementation for a competitive edge.

Objectives of B.Tech. in Mathematics and Computing

  • Master science, engineering, and mathematics skills. Develop programming expertise for computing solutions. 

  • Apply computing theory to real-world issues. 

  • Create mathematical models and devise fitting computing resolutions for problems.

In Short

The escalating demand for mathematics and computing professionals underscores their indispensable role in our data-centric world. Industries seek their expertise in solving intricate problems, leveraging data analytics, and steering technological advancements. As this demand continues to soar across sectors, pursuing a B.Tech. in Mathematics and Computing at M.S. Ramaiah University of Applied Sciences emerges as a transformative step.

Join us to harness the power of mathematical acumen fused with computational skills, paving the way to become an invaluable asset in shaping tomorrow’s technological landscape. Seize the opportunity to be at the forefront of innovation and embark on a fulfilling journey with us toward a dynamic and impactful career in mathematics and computing.


  • Jayashree Aradhya