OVERVIEW
BCA (AI & Data Science) is a three-year undergraduate programme that strongly concentrates on helping students develop the critical thinking skills and problem-solving abilities required to succeed in the rapidly growing domain of AI & Data Science. In collaboration with IBM, this programme is dedicated to providing a combined understanding of theoretical knowledge and practical applications. We ensure students are not just well-equipped with technical expertise but are industry-ready.
Programme Highlights
Unlocking the Secrets of
AI & Data Science
The curriculum of the BCA (AI & Data Science) programme is meticulously designed in consultation with industry professionals in such a way that it covers all the skills and knowledge necessary to develop intelligent systems and analyse data to make informed decisions.
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
Environmental Studies & Disaster Management (Online Moodle)
- 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
- Mini 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 Specific 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 Specific 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
Connecting Talent to Dream Careers
K.R. Mangalam University has collaborated with various top industry giants like IBM, Punjab National Bank, Flipkart, Axis Bank, Microsoft, Bank of Baroda, etc., offering students a platform to secure good internships and placements. BCA (AI & Data Science) graduates embark on rewarding careers in various roles, reflecting the university’s commitment to producing industry-ready professionals who excel in the competitive global market.
Career Options
Graduates of BCA (AI & Data Science) continue to serve at some of the most renowned corporations and tech companies engaged in introducing new AI & Data Science concepts. Our BCA (AI & Data Science) programme offers lucrative career opportunities to graduates across various industries. Below are the leading career paths available for our graduates:
Programme
Outcomes
Core Competencies in Engineering
Graduates will possess a strong foundation in computer science principles, critical problem analysis, and solution design, equipped with skills for conducting thorough investigations to solve complex challenges.
01
Modern tool usage
Create, select, and apply appropriate techniques, resources, and modern IT tools including prediction and modeling to complex computer science activities with an understanding of the limitations.
02
Societal and Environmental Responsibility
Apply contextual knowledge to evaluate societal, health, safety, legal, and cultural issues, while understanding the impact of engineering solutions on the environment and advocating for sustainable development.
03
Ethics
Apply ethical principles and commit to professional ethics and responsibilities and norms of the computer science practice.
04
Effective Communication and Team Collaboration
Excel in both individual and team roles within diverse and multidisciplinary settings, while communicating complex computer science concepts clearly through effective reports, presentations, and interactions.
05
Project management
Apply engineering and management principles to lead and manage projects effectively in computer science contexts.
06
Life-long learning
Embrace and actively pursue continuous learning to stay current with technological advancements and evolving practices in computer science.
07
Successful professionals in industry, government, academia, research, entrepreneurial pursuits and consulting firms.
01
Able to apply their knowledge of computer science & engineering principles to solve societal problems by exhibiting a strong foundation in both theoretical and practical aspects of the field.
02
Dedicated to upholding professional ethics and social responsibilities, with a strong commitment to advancing sustainability goals.
03
Demonstrating strong leadership skills and a proven ability to collaborate effectively in diverse, multidisciplinary teams to successfully achieve project objectives.
04
Understanding the core concepts, theories, tools, techniques, and methodologies of Artificial Intelligence and Data Science.
01
Applying AI and Data Science principles to solve real-world problems and make data-driven decisions.
02
Analysing data and AI methodologies to uncover insights and address challenges.
03
Evaluating and optimizing AI models and data solutions for enhanced performance.
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.
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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 Enroled
Be prepared to embark on your journey