B.Tech. in Mathematics and Computing
On this page
Overview
The B. Tech. in Mathematics and Computing is an inter-disciplinary B.Tech programme offering a balanced set of courses in theoretical computer science, models of computation, applied mathematics, machine learning, programming languages, parallel computing and computer architecture. With the undisputable emergence of Artificial Intelligence (AI) and Machine Learning as a tool for penetrating deeply into almost every scientific and commercial or business endeavour for optimal solutions, it is imperative that an undergraduate programme in Mathematics and Computing needs to train students in AI too. The programme enables the students to not only study and investigate into traditional models of computation such as the Turing Machine or Lambda Calculus but also to gain an edge by early initiation into Quantum Computing along with the required practical knowledge gained from experimentation and implementation.
Objective
- Become proficient in science, engineering and mathematics
- Become proficient in programming to develop computing solutions
- Be able to apply theory of computing to real-life problems
- Be able to formulate mathematical models for problems and develop appropriate computing solutions
Highlights
Proctoral System
Under the Proctoral System, every student is assigned a faculty member as a Proctor or a mentor.
These mentors offer guidance, support and encouragement to students, helping them as they progress along their academic journey. From the choice of electives to their academic performance, from attendance to meeting their credit requirements, students can approach these mentors with any and every query.
Proctors also interact with parents/guardians and keep them updated on the progress of students.
To ensure that they reap the benefits of the Proctoral System, students are advised to be in regular contact with their Proctors.
A Semester Abroad
We offer a program in which students can register a semester in the final year with a partner university, where students can do an internship or a project.
Innovation Centre
At the Innovation Centre, students team up with faculty members to bring their innovative ideas to life.
Ideas are assessed based on their relevance to — and impact on — society. These are then translated into working projects that are entered in national and international competitions, and for registration as patents.
Open Electives
Students can choose from a multitude of open electives across faculties for credits. These are specially designed courses which offer a basic introduction for a holistic development.
- Uses application-based learning.
- Offers research opportunities.
- Includes internship, training, and placement support with various universities worldwide.
- Includes expert guest lectures from various institutions and industries
- We offer accommodation in student hostels on our campus, and even offer third-party off-campus hotels where necessary to ensure students can focus on what matters the most.
- Our on-campus facilities include WiFi any time of the day, 24/7.
- From a host of eateries and laundry facilities, we ensure that students have access to all facilities.
- We encourage students to participate in co-curricular activities on campus which include sports and cultural events, both at a university level and a faculty level.
- We help students focus on independent and sponsored research with projects and a dissertation
Structure
Study Domains
- ES
Engineering Sciences
An overview of all engineering sciences such as mechanical, electronic, and automotive engineering.
- PC
Professional Core
- A deep dive into the core domain of electronics and communication engineering, including signal processing, microprocessor/controller, and control systems.
- BS
Basic Sciences
- An overview of Mathematics, Physics, and Chemistry.
- HSS
Humanities and Social Sciences
- An introduction to professional and personal development, language courses, and life skills.
- OE
Open Electives
- Students can choose from a list of courses from multiple disciplines offered across the University to earn credits.
- PSI
Project, Seminar, and Internships
Course Progression
| Course | Credits | Study Domain |
|---|---|---|
Engineering Mathematics-1 | 4 | Basic Sciences BS |
Engineering Chemistry | 3 | Basic Sciences BS |
Engineering Mechanics and Construction Materials | 4 | Engineering Sciences ES |
Elements of Electrical Engineering | 4 | Engineering Sciences ES |
Elements of Computer Science and Engineering | 4 | Engineering Sciences ES |
Computer Programming Laboratory | 1 | Engineering Sciences ES |
Engineering Chemistry Laboratory | 1 | Basic Sciences BS |
Basic Electrical Engineering Laboratory | 1 | Engineering Sciences ES |
Professional Communication | 2 | Humanities and Social Sciences HSS |
Key
- Theory
- Tutorials
- Practicals
| Course | Credits | Study Domain |
|---|---|---|
Engineering Mathematics-2 | 4 | Basic Sciences BS |
Engineering Physics | 4 | Basic Sciences BS |
Elements of Mechanical Engineering | 3 | Engineering Sciences ES |
Elements of Electronics Engineering | 4 | Engineering Sciences ES |
Engineering Drawing | 3 | Engineering Sciences ES |
Engineering Physics Laboratory | 1 | Basic Sciences BS |
Basic Workshop PracticeES | 1 | Engineering Sciences ES |
Basic Electronics Laboratory | 1 | Engineering Sciences ES |
Elements of Social Sciences and Ethics | 2 | Humanities and Social Sciences HSS |
Key
- Theory
- Tutorials
- Practicals
| Course | Credits | Study Domain |
|---|---|---|
Engineering Mathematics3 | 4 | Basic Sciences BS |
Discrete Mathematics | 4 | |
Data Structures using Python | 4 | Engineering Sciences ES |
Probability and Statistics | 3 | |
Linear Algebra | 3 | |
Python and Data Structures Laboratory | 1 | Engineering Sciences ES |
Mathematics and Computing Laboratory | 1 | |
Environmental Studies | 0 | Humanities and Social Sciences HSS |
Key
- Theory
- Tutorials
- Practicals
| Course | Credits | Study Domain |
|---|---|---|
Engineering Mathematics4 | 4 | Basic Sciences BS |
Programming Paradigms | 4 | Engineering Sciences ES |
Design and Analysis of Algorithms | 3 | Engineering Sciences ES |
Inferential Statistics | 4 | |
Applications of Probability and statistics in Finance | 2 | |
Formal Languages and Automata Theory | 3 | Engineering Sciences ES |
Numerical Analysis Lab | 1 | |
Programming Paradigms Laboratory | 1 | Engineering Sciences ES |
Key
- Theory
- Tutorials
- Practicals
| Course | Credits | Study Domain |
|---|---|---|
Microprocessors and Architecture | 3 | Engineering Sciences ES |
Quantum Computing | 3 | Engineering Sciences ES |
Partial Differential Equations | 3 | |
Optimization Techniques | 4 | Engineering Sciences ES |
Artificial Intelligence | 3 | Engineering Sciences ES |
Innovation Course 1 | 3 | Engineering Sciences ES |
Microprocessor Lab | 1 | Engineering Sciences ES |
Artificial Intelligence Laboratory | 1 | Engineering Sciences ES |
Economics and Cost Estimation Computer Engineering | 2 | Engineering Sciences ES |
Key
- Theory
- Tutorials
- Practicals
| Course | Credits | Study Domain |
|---|---|---|
Graph Theory and Optimization | 3 | |
Computer Networks | 3 | Engineering Sciences ES |
Innovation Course II | 3 | Engineering Sciences ES |
Theory of Machine Learning | 3 | Engineering Sciences ES |
Information Security and Protection | 4 | Engineering Sciences ES |
Parallel Algorithms for Scientific Computing | 4 | |
Data Mining | 4 | Engineering Sciences ES |
Computer Networks Laboratory | 1 | Engineering Sciences ES |
Key
- Theory
- Tutorials
- Practicals
| Course | Credits | Study Domain |
|---|---|---|
Professional Core Elective - 1 | 4 | Professional Electives PE |
Professional Core Elective - 2 | 3 | Professional Electives PE |
Professional Core Elective - 3 | 3 | Professional Electives PE |
Open Elective | 3 | Open Electives OE |
I] Project Work - I II]Internship (Choose one) | 6 | Project, Seminar and Internships PSI |
Seminar | 6 | Project, Seminar and Internships PSI |
Key
- Theory
- Tutorials
- Practicals
| Course | Credits | Study Domain |
|---|---|---|
Open Elective - 2 | 3 | Professional Electives PE |
Project work -2 | 10 | Project, Seminar and Internships PSI |
Key
- Theory
- Tutorials
- Practicals
Details
Teaching and Assessment
During each semester, students’ performance is assessed through Continuous Evaluation (CE) and a Semester End Examination (SEE). CE and SEE weightages carry equal weightage.
Students are awarded grades based on the marks scored
Key Skill Development
- Ability to model real-life problems and develop software programs to solve them.
- Ability to apply knowledge of mathematics, science, and Engineering fundamentals to solve complex problems in engineering.
- Ability to analyse engineering problems, interpret data and arrive at meaningful conclusion involving mathematical inferences.
- Ability to design an engineering system, component, or process to meet desired needs considering public health and safety, and the cultural, societal, and environmental considerations.
- Ability to understand the effect of engineering solutions on legal, cultural, social and public health and safety aspects.
- Ability to develop sustainable solutions and understand their effect on society and environment.
- Ability to work as a member of a team, to plan and to integrate knowledge of various engineering disciplines and to lead teams in multidisciplinary settings.
- Ability to adapt to the changes and advancements in technology and engage in independent and life-long learning.
- Ability Enhancement Compulsory Courses (AECC) such as Professional Communication, Constitution, Human Rights and Law, and Environmental Studies.
Careers
Cyber Security Professional
Software Developer
Scientist
Mathematics and Computing Specialist
Admissions
Eligibility
- Candidates must have passed 10+2 examination with Physics and Mathematics as compulsory courses along with Chemistry, Biotechnology, Biology, Electronics or Computer science.
- Candidates need to have scored at least 45% aggregate marks
- Candidates belonging to the reserved categories should have at least 40% aggregate marks.
Application Process
Through RUAS-AT
- Take the RUAS-AT Entrance Test
- Admission counselling for selection
- Once selected, students need to fill in the admission form
- Pay tuition fee
- Submit documents to the University
Through CET/ ComedK
- CET Code E235, ComedK Code
- Counselling and Selection
- Download the admission form
- Submit completed form and documents[3] at the University Admissions Office
- Pay fees online or through DD at the University admission Office. See full instructions.
Other accepted Scores
- Contact Director Admissions
Fees & Scholarships
Government Seats:
- As per Government of Karnataka.
University Seats:
- Refer Fee Structure
Eligibility
- Foreign students should have a qualification of 10+2 as approved by the Association of Indian Universities.
- Candidates should have proof of proficiency in English with a minimum TOEFL score of 8
Application Process
Through RUAS-AT
- Take the RUAS-AT Entrance Test
- Admission counselling for selection
- Once selected, students need to fill in the admission form
- Pay tuition fee
- Submit documents to the University
Through CET/ ComedK
- CET Code E235, ComedK Code
- Counselling and Selection
- Download the admission form
- Submit completed form and documents[3] at the University Admissions Office
- Pay fees online or through DD at the University admission Office. See full instructions.
Other accepted Scores
- Contact Director Admissions
Eligibility
The decision of the Equivalence Committee is final for lateral entry.
- Candidates should have passed a Diploma examination from an approved institution with a minimum of 45% marks
- Candidates from the reserved category should have scored a minimum of 40% in in the appropriate branch of Engineering and Technology.
- Candidates must have passed B.Sc. from a University recognised by the UGC with a minimum of 45% marks
- Candidates must have passed B.Sc. with Physics and Mathematics from a University recognised by the UGC with a minimum of 40% marks, and in 12th standard.
- Up to 15% of seats are reserved for foreign/NRI Students
Application Process
Through RUAS-AT
- Take the RUAS-AT Entrance Test
- Admission counselling for selection
- Once selected, students need to fill in the admission form
- Pay tuition fee
- Submit documents to the University
Through CET/ ComedK
- CET Code E235, ComedK Code
- Counselling and Selection
- Download the admission form
- Submit completed form and documents at the University Admissions Office
- Pay fees online or through DD at the University admission Office. See full instructions.
Other accepted Scores
- Contact Director Admissions
Fees & Scholarships
NRI/ Foreign Students:
- USD 6000 + Other fee Rs.38,550 per annum
Start your journey with RUAS
Downloads
Contact
- Person
- Dr. T. Hemanth
- email hidden; JavaScript is required
- Phone
- +91 80 4536 6616
Programmes
- M.Tech. in Data Science and Engineering
- M.Tech in Artificial Intelligence & Machine Learning
- M. Tech. in Power Electronics and Drives
- B.Tech. in Electrical and Electronics Engineering
- B.Tech. in Mathematics and Computing
- B.Tech. in Mechanical Engineering
- B.Tech. in Robotics
- B.Tech. in Civil Engineering
- M.Tech. in Construction Engineering and Management
-
- M.Tech. in Environmental Engineering and Management
- M.Tech. in Transportation Engineering
- B.Tech. in Aerospace Engineering
- B.Tech. in Automotive Engineering
- M.Tech. in Aerospace Engineering
- B.Tech. in Computer Science and Engineering
- B. Tech. in Artificial Intelligence and Machine Learning
- M.Tech. in Robotic Engineering
- Electric Transportation
- Embedded System
- Machine Learning
- Mechanical Design
- M. Tech. in Structural Engineering