Bachelor of Technology | B.Tech.| AI & ML | Programmes at CMR University

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Bachelor of Technology | B.Tech.| AI & ML

A 4-year undergraduate programme focused on the study of data science, data analytics, and data-driven decision-making.
Covers areas such as statistical analysis, machine learning, data visualisation, and big data technologies.
Emphasises both theoretical understanding and practical implementation of data science techniques.
Includes projects and real-world data analysis to gain hands-on experience.

Duration

4 years

Programme Type

Full-time

Programme Fees

Rs.200,000/- per semester

Programme Regulations

2024-25
2023-24
2022-23

Programme Structure 2025

PDF is currently under review by the Academic Council. The updated list will be shared once approved.

Eligibility Criteria

Candidates should have passed the 2nd PUC / 12th / Equivalent examination with a minimum of 45% marks (40% for Karnataka reserved category candidates) in Physics and Mathematics along with Chemistry / Computer Science / Electronics / Information Technology / Biology / Informatics Practices / Biotechnology / Technical Vocational Subject / Agriculture / Engineering Graphics / Business Studies / Entrepreneurship from a recognised board.
Candidates must also qualify in one of the following entrance exams: CET / COMED-K / JEE / Other state entrance tests / National-level entrance test
OR
Passed D.Voc stream in the same or allied sector.

Scope & Objectives

Artificial Intelligence and Machine Learning (AIML) is a sub-area of computer science focused on developing software and hardware that enable computers to perform tasks considered “intelligent” if done by humans.

According to the National Association of Software and Services Companies (NASSCOM), the AI sector is expected to be worth $16 trillion by 2030.

To meet the demand for skilled professionals in AI and ML and support the industry in adopting technology-driven solutions, CMR University offers a comprehensive and specialised B.Tech. programme in AIML.

This pioneering B.Tech. in Computer Science and Engineering with specialisation in AIML is designed to provide strong theoretical foundations and practical skills, preparing students to navigate the digital transformation era.

Programme Structure

SEMESTER I

Fundamentals of Design I
Typography I
Visual Identity Design I
Layout Design I
Mini Project I
Introduction to Product Design
Mini Project II
Design Thinking I
Community Service I
Semester I Project

SEMESTER II

Drawing I
Introduction to Fashion Design
Mini Project III
Introduction to Interior (Space) Design
Mini Project IV
Oral and Written Communication
Arts & Philosophy
Community Service II
Personal Effectiveness
Semester II Project

SEMESTER III

Fundamentals of Design II
History of Art and Design I
Textile Design
Textile Science
Critical Inquiry
Ethics and Values
Community Service III
Career Preparedness Programme I
Project III (Textile Styling)

SEMESTER IV

Interdisciplinary Elective I
History of Art and Design II
Fashion Theory and Design
Apparel Construction
Indian Constitution
Hindi / Kannada / English / Foreign Language
Community Service IV
Career Preparedness Programme II
Project IV (Apparel Construction)

Programme Assessment

Choice-Based Credit System (CBCS): The university follows CBCS, allowing students to choose courses and earn credits based on their performance.
Grades and GPA: Students are awarded grades for each course per semester, and their Semester Grade Point Average (SGPA) is calculated. The Cumulative Grade Point Average (CGPA) reflects overall academic performance.
Prescribed Curriculum: The curriculum includes required courses, labs, and other degree requirements. It also incorporates SWAYAM and MOOC platforms.
Auditing Courses: Students can audit courses to gain knowledge without grade pressure—an advantage during placements.
Evaluation System: Continuous Internal Evaluation (CIE) and Semester End Examination (SEE) are conducted, each contributing 50% to the final marks.
Assessment Methods: Faculty may select methods such as assignments, seminars, group discussions, presentations, industry reports, etc.
Makeup Examinations: Students who fail the SEE are eligible to retake exams to improve their grades.

Programme Outcome

Engineering Knowledge: Apply knowledge of mathematics, science, and engineering to solve complex problems.
Design/Development of Solutions: Design systems or components considering societal, health, and environmental concerns.
Investigation of Complex Problems: Conduct research and analysis to draw valid conclusions.
Modern Tool Usage: Use appropriate techniques and IT tools for complex engineering activities.
Engineer and Society: Evaluate social, legal, and cultural responsibilities in engineering practice.
Environment and Sustainability: Understand environmental impacts and promote sustainable development.
Ethics: Commit to professional ethics and responsibilities.
Individual and Teamwork: Work effectively as an individual or team member/leader in multidisciplinary settings.
Communication: Communicate effectively with peers, professionals, and society at large.
Project Management and Finance: Apply management principles to projects and teams.
Life-long Learning: Develop readiness for continuous learning in the evolving tech landscape.

Course Outcomes Visit

What Expertise Do You Gain?

AI / ML Concepts
Programming Languages
Statistical Modelling
ML Algorithms and Frameworks
App Development Skill-Set

Career Opportunities

01
Data Scientist
02
Data Analyst
03
Business Analyst
04
Data Engineer
05
Machine Learning Engineer
06
Data Consultant

How to apply?

Step 1: Application Enquiry
Receive on-call guidance and step-by-step instructions for completing the application form.

Step 2: Selection Process
Shortlisting of candidates after document verification, interview, and CMRUAT entrance exam.

Step 3: Offer Letter
Provision of the admission offer letter to initiate the enrolment process.

Apply Now

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FAQs

Four years

Written test and interview

10+2 with Physics, Chemistry, and Mathematics as subjects and a minimum of 45% marks in 10+2. Other equivalent qualifications may also be considered.

Yes, it covers almost all areas of computing. CMR University, one of the top Computer Science Engineering colleges in Karnataka, is an excellent choice for the B.Tech. in CSE course. Our course includes modules on network security, data structures, mobile application development, data mining, big data, artificial intelligence, cryptography, digital forensics, and data analytics.

B.Tech. in CSE is one of the best courses available for securing a stable professional future. Study B.Tech. in CSE at one of the top private universities for Computer Science in Bangalore, CMR University. The software and IT industries are emerging fields with many innovations. An undergraduate course in Computer Science will help you build a strong career foundation.

The following are key skills required to be a Computer Science engineer:

Analytical skills
Creativity
Basics of machine learning
Web development knowledge
Programming skills
Critical thinking
Problem-solving skills
Data structures
Algorithms
Basics of network security
Basics of cryptography
Quick learning abilities

Job opportunities for Computer Science engineers include:

Software Developer
Computer Hardware Engineer
Web Developer
Computer Programmer
Game Developer
App Developer

The Department of CSE at CMR University offers facilities such as a Data Structures laboratory, labs for programming with Python, a lab for problem-solving programming, a Data Structures and Algorithms lab, a Java programming lab, and a Database Management Systems lab. Additionally, spacious classrooms are equipped with electronic infrastructure for audio-visual teaching aids, rapid prototyping labs, and a conference room for discussions.

Log in to the portal on our website, download the admission form, and fill it out. You can either submit the form in person at the college campus or submit it online after payment of the application fees. If you are shortlisted, you will receive a call for an interview.

Yes, Computer Science engineers are in high demand. With the growth of automation and AI technology, there is a significant need for Computer Science engineers to analyse big data and data analytics. This subject serves as the foundation for many subfields in engineering, creating substantial demand for Computer Science engineers.

Yes, at CMR University, we have a dedicated placement cell with experienced professionals from various engineering fields to train students for placement interviews. We also help students develop their soft skills and leadership abilities from the first year through various modules.

Yes, the B.Tech. course at CMR University provides students with practical training and internship opportunities as part of the curriculum.

Top recruiters for Artificial Intelligence professionals are HCL, MITSUBISHI, Amazon, L&T technology service, DELL, Infosys, and others. AI recruiting is fundamentally important for determining unbiased criteria involving the benefits of a candidate. Through recruiting, AI professionals are able to do the recruiting process in a user-friendly way.

One who has thought about a tech career can apply for a B.Tech. CSE specialisation course in AI and ML. Studying B.Tech. cse under AI and machine learning engineering colleges in Bangalore is good. B.Tech. computer science colleges in Bangalore provide data science courses that can assist an organisation and an industry in adopting various technology-driven solutions. Studying in the concerned course enhances career opportunities.

There is a growing career opportunity in the courses of Artificial Intelligence. You can attain different kinds of expertise. Such as AI/ML concepts, programming languages, statistical modelling, app development skills, etc. Career opportunities are vast through studying this. One can be a data scientist, business analyst, data analyst, or data consultant.

B.Tech. specialisation in AI and ML has provided graduates with many career opportunities. One who has studied this course may have become a software developer, web developer, system analyst, network administrator, cybersecurity analyst, database administrator, or others. Furthermore, one can be an AI specialist, which opens other career opportunities.

Bachelor of Technology | B.Tech.| AI & ML