OVERVIEW
Our BCA (Hons. with Research) in AI & Data Science with academic support of Samatrix and IBM, offers a unique blend of advanced learning and research in the burgeoning fields of artificial intelligence and data science. This programme is specifically tailored for those who aspire to be at the forefront of technological innovation and research.Students are immersed in a curriculum that combines rigorous academic coursework with an emphasis on independent research, fostered by the expertise and resources of Samatrix and IBM.
Programme Highlights
Deciphering the Future with
AI & Data Science
The BCA (Hons. with Research) in AI & Data Science with academic support of Samtrix and IBM at K.R. Mangalam University, supported academically by Samatrix and IBM, is meticulously structured to offer a wide-ranging and in-depth curriculum. This programme plunges students into the multifaceted and evolving universe of artificial intelligence and data science, showcasing the diverse and continually advancing aspects of these state-of-the-art disciplines in today’s technological age.
Programme Structure
- Web Designing Using HTML,CSS, Java Script & PHP
- Basics of Mathematics
- Clean Coding with Python
- Essentials of Software Engineering
- Web Design Lab
- Clean Coding with Python Lab
- Essentials of Software Engineering Lab
- Data Visualization using Power BI
- Value-Added Course
- Fundamentals of Object Oriented Programming using C++
- Discrete Structure
- Overview of AI, Data Science, Ethics and Foundation of Data Analysis
- R Programming for Data Science and Data Analytics Lab
- Object Oriented Programming Lab using C++
- Overview of AI, Data Science, Ethics and Foundation of Data Analysis Lab
- Open Elective
- Value-Added Course
- Minor Project
- Summer Internship
- Fundamentals of Data Structures
- Fundamentals of Java Programming
- Probabilistic Modelling and Reasoning
- Fundamentals of Artificial Intelligence
- Fundamentals of Java Programming Lab
- Fundamentals of Data Structures Lab
- Life Skills for Professionals-I
- Open Elective
- Value-Added Course
- Evaluation of Summer Internship
- Fundamentals of Operating Systems
- Fundamentals of Database Management Systems
- Foundation of Machine Learning
- Fundamentals of Operating System Lab
- Foundation of Machine Learning Lab
- Fundamentals of Database Management Systems Lab
- Life Skills for Professionals-II
- Open Elective
- Value-Added Course
- Minor Project
- Summer Internship
- Design and Analysis of Algorithms
- Theory of Automata
- Introduction to Natural Language Processing
- Big Data Analysis with Scala and Spark
- Data Science - Tools and Techniques Lab
- Design & Analysis of Algorithms Lab
- Natural Language Processing Lab
- Big Data Analysis with Scala and Spark Lab
- Life Skills for Professionals-III
- Evaluation of Summer Internship
- Discipline Elective-I
- Image Processing & Computer Vision OR
- Introduction to Generative AI OR
- Transfer Learning
- Introduction to Computer Organization & Architecture
- Introduction to Computer Networks
- Basics of Neural Networks and Deep Learning
- Discipline Elective-I Lab
- Image Processing & Computer Vision Lab OR
- Generative AI Lab OR
- Transfer Learning Lab
- Computer Networks Lab
- Neural Networks and Deep Learning Lab
- Competitive Coding
- Minor Project
- Discipline Elective-II
- Computational Services in The Cloud OR
- Microsoft Azure Cloud Fundamentals OR
- Storage and Databases on Cloud OR
- Application Development and DevOps on Cloud
- Discipline Elective-III
- Mobile Application Development using iOS OR
- DevOps & Automation OR
- .Net FRAMEWORK OR
- New Age Programming Languages
- Discipline Elective-II Lab
- Computational Services in The Cloud Lab OR
- Microsoft Azure Cloud Fundamentals Lab OR
- Storage and Databases on Cloud Lab OR
- Application Development and DevOps on Cloud Lab
- Discipline Elective-III Lab
- Mobile Application Development using iOS Lab OR
- DevOps & Automation Lab OR
- .Net FRAMEWORK Lab OR
- New Age Programming Languages Lab
- Minor Project
*Student has the option to pursue Full Time Internship from Industry in lieu of subjects in 7th semester
- Industrial Project/R&D Project/Start-up Project
Connecting Talent to Dream Careers
At KRMU, we are immensely proud of our collaborations with top-tier industry entities like IBM, Punjab National Bank, Flipkart, Axis Bank, Microsoft, Bank of Baroda for our BCA (Hons. with Research) (AI & Data Science) with academic support of Samatrix & IBM These prominent organizations are integral to our campus recruitment programmes, offering our students exceptional career prospects in the fast-expanding domains of AI and Data Science.
Career Options
Our BCA (Hons. with Research) (AI & Data Science) with academic support of Samatrix & IBM, leads to a multitude of stimulating and influential career paths in the technology sector. Graduates of this programme possess profound theoretical knowledge and hands-on expertise, ideally suited for thriving in the advanced arenas of artificial intelligence and data science. Here are five prominent career trajectories that our graduates can pursue, among various other exciting roles:
Programme
Outcomes
Fundamental Knowledge
Demonstrate a strong foundation in computer science principles, mathematics, and fundamental concepts necessary for the understanding and application of computing.
01
Problem Solving
Apply analytical and critical thinking skills to identify, analyze, and solve complex computing problems using appropriate tools, algorithms, and programming languages.
02
Software Development
Design, develop, and implement software solutions by applying software engineering principles, programming languages, and best practices.
03
Database Management
Design, implement, and manage databases, ensuring efficient data storage, retrieval, and manipulation using database management systems.
04
Web Technology
Develop web-based applications and utilize relevant technologies, frameworks, and tools for effective web development and deployment.
05
Network and Security
Understand network protocols, security mechanisms, and implement secure network configurations to ensure data integrity, confidentiality, and availability.
06
Information Management
Gather, organize, and analyze information from various sources using appropriate technologies and tools for effective decision-making and problem-solving.
07
Team Collaboration
Collaborate effectively as a member or leader in multidisciplinary teams, demonstrating effective communication, interpersonal skills, and adaptability to work in diverse professional environments.
08
Ethical and Professional Practices
Adhere to ethical, legal, and professional standards in computing, recognizing the social and ethical responsibilities associated with the use of technology.
09
Lifelong Learning
Recognize the need for continuous learning, keep up-to-date with emerging trends in technology, and engage in self-directed learning to adapt to evolving computing paradigms.
10
Industry Relevance
Apply industry-relevant practices, tools, and technologies to bridge the gap between academia and industry, ensuring the ability to meet industry requirements and contribute effectively to the computing field.
11
Entrepreneurial Mindset
Identify opportunities, demonstrate innovation, and apply entrepreneurial thinking to create value, solve problems, and contribute to the growth of businesses and society.
12
Data Mastery
Develop expertise in AI and Data Science through research-oriented learning and gain the ability to apply advanced concepts in practical settings.
01
Design-Driven Data
Pursue a successful career in AI and Data Science by applying knowledge and skills to industry-related problems or further academic pursuits.
02
Design Revolution
Engage in lifelong learning and develop innovative solutions in the domain of AI and Data Science using research and problem-solving skills to contribute to the sustainable development of society.
03
Leading Innovation
Demonstrate leadership, teamwork, management, ethical and social responsibility, and communication skills with a commitment to lifelong learning.
04
Data-Driven Design
Demonstrate a strong foundation in the theoretical concepts and practical applications of AI and Data Science, including machine learning, data analysis, and data visualization.
01
Innovative Solutions
Develop critical thinking, problem-solving, and research skills through hands-on projects, independent study, and engagement in research activities related to AI and Data Science.
02
Creative Mastery
Apply knowledge and skills to solve industry-related problems through internships, capstone projects, and experiential learning opportunities in collaboration with industry partners.
03
Innovative Collaboration
Demonstrate leadership, teamwork, management, ethical and social responsibility, and communication skills by engaging in team-based projects, leadership activities, and community outreach initiatives related to AI and Data Science.
04
Financial Assistance
K.R. Mangalam University partnered with the leading banks to help you to finance your dream course through Education Loan. You only have to start repaying one year after finishing your course or six months after you get a job.
Sponsored
MBA Degree
100% Sponsored MBA for Outstanding Undergraduates
KRMU takes pride in nurturing the leaders of tomorrow. To honor and encourage academic excellence, we offer a distinctive sponsorship scheme: Exceptional undergraduates have the opportunity to pursue an MBA at KRMU with 100% sponsorship. This initiative is our commitment to investing in the bright minds that have demonstrated remarkable academic achievements during their undergraduate studies.
Embark on an MBA journey without financial constraints and unlock your full potential. At KRMU, we provide more than just an education; we offer a pathway to excellence and success in the business world. Seize this opportunity to transform your academic prowess into a thriving career.
Frequently Asked Questions
Commence Your Journey
in 6 Simple Steps
Complete payment and submit
Pay the required Application Fee
Take an entrance test
K.R. Mangalam University Entrance Examination (KREE)
Appear for interaction
Attend our Faculty-Led Interview.
Get the admission offer
You will receive the offer letter after the successful interaction
Get Enrolled
Be prepared to embark on your journey