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 | |||
Stream | PCE‑1 | PCE‑2 | PCE‑3 |
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 | Topology |
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 |
Note:
Students are required to select:
One Professional Core Elective Course in the 6th Semester from PCE‑1 Group.
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.