Bachelor of Technologies | B.Tech. CSE | DS
- Focuses on the study of artificial intelligence, machine learning, and data analytics
- Covers areas such as data mining, pattern recognition, neural networks, and natural language processing
- Emphasises both theoretical understanding and practical implementation of AI and ML techniques
- Includes projects and research opportunities to apply AI and ML in real-world scenarios
Duration
4 years
Programme Type
Full Time
Programme Fees
Rs.1,75,000/-
Programme Structure 2025
PDF is being worked upon 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 in Physics and Mathematics along with one of the following: Chemistry, Computer Science, Electronics, Information Technology, Biology, Informatics Practices, Biotechnology, Technical Vocational Subject, Agriculture, Engineering Graphics, Business Studies or Entrepreneurship (40% for Karnataka reserved category candidates) from a recognised board.
Candidates must also qualify in one of the following entrance exams: CET / COMED-K / JEE / Other state or national-level entrance tests.
OR
Passed the D.Voc stream in the same or allied sector.
Scope & Objectives
Artificial Intelligence and Data Science have had an active and exciting history and are now established fields within computer science.
Many research breakthroughs in these areas have reached the stage of industrial application, enabling companies to generate and save millions of dollars by leveraging the outcomes of Data Science research (as noted in the McKinsey Global Institute report on AI).
To equip students with the right skill set for emerging job opportunities in Data Science—and to support industries in adopting technology-driven solutions—CMR University offers a wide range of new-age IT programmes, with Data Science being a key focus.
This first-of-its-kind B.Tech programme in Computer Science and Engineering with a specialisation in Data Science (DS) is specifically designed to prepare students with both a strong theoretical foundation and practical skills. It aims to equip them to thrive in an era of digital disruption and technological transformation.
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)
SEMESTER V
Interdisciplinary Elective II
History of Art and Design III
Traditional Indian Textile Art
Fashion Accessory
Draping
Design Management
Environment and Sustainability
Prepare for Aptitude Tests III
Project V (Accessory Design)
SEMESTER VI
Interdisciplinary Elective III
History of Art and Design IV
System Design
Research Methodology
CAD
Knitwear and Apparel Quality Control
Sociology of Globalisation and Sustainable Development
Design Thinking II
Career Preparedness Programme III
Project VI (Wearable Tech)
SEMESTER VII
Interdisciplinary Elective IV
History of Art and Design V
Universal Design
Career Development
Project VII (Design Intervention and Communication)
SEMESTER VIII
Graduation Portfolio
Exhibition
Graduation Project (Specialisation)
Programme Assessment
- Choice-Based Credit System (CBCS): The university follows CBCS, allowing students to choose courses and earn credits based on performance.
- Grades and GPA: Students are awarded grades per course; SGPA and CGPA are calculated to track academic progress.
- Prescribed Curriculum: Includes courses, labs, and degree requirements along with SWAYAM and MOOCs from reputed institutions.
- Auditing Courses: Optional audit courses allow students to gain extra exposure without a grade, improving placement preparedness.
- Evaluation System: Continuous Internal Evaluation (CIE) and Semester-End Examination (SEE) each carry 50% weightage.
- Assessment Methods: Include assignments, seminars, quizzes, group discussions, presentations, and industry reports.
- Semester-End Exams: Conducted for all registered courses, with some exceptions for CIE-only courses.
- Makeup Examinations: Offered to students who fail SEE, providing a chance to improve grades.
Programme Outcome
- Apply mathematics, science, and engineering fundamentals to solve complex problems
- Design systems and solutions with attention to public safety, health, and the environment
- Conduct experiments and interpret data for valid conclusions
- Use modern IT and engineering tools effectively
- Assess societal, legal, and environmental issues responsibly
- Demonstrate ethical conduct and professional responsibility
- Function effectively in teams and multidisciplinary settings
- Communicate clearly in both technical and non-technical contexts
- Apply management principles in project settings
- Engage in life-long learning in the rapidly changing tech environment
Course Outcomes Visit
What expertise do you gain?
- Data science concepts and methodologies
- Proficiency in programming languages
- Machine learning algorithms
- Data visualisation
- Insight-driven decision-making
Career Opportunities
- 01 AI Engineer
- 02 Machine Learning Engineer
- 03 Data Scientist
- 04 Data Analyst
- 05 AI Consultant
- 06 Research Scientist in AI and ML
Testimonials
How to apply?
Step 1: Application Enquiry
Receive on-call guidance with step-by-step support to complete your application form.
Step 2: Selection Process
Candidates are shortlisted after document verification, interview, and the CMRUAT entrance exam.
Step 3: Offer Letter
An offer letter is issued for further admission steps.
More Programmes at the School of Engineering & technology
School of Engineering & Technology
Bachelor of Technologies | B.Tech. CSE | DS
-
Rs.1,75,000/- Per semester -
Undergraduate -
4 years -
Lakeside Campus
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 BTech 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 BTech CSE specialisation course in AI and ML. Studying BTech CSE under AI and machine learning engineering colleges in Bangalore is good. BTech 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 modeling, app development skills, etc. Career opportunities are vast through studying this. One can be a data scientist, business analyst, Data analyst, or data consultant.
BTech AI specialisation in AI and ML graduates has provided 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.
