OVERVIEW
BCA (Hons. / Hons. with Research) AI & Data Science is a four-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. With a strong emphasis on extensive research and practical training, we make sure that students possess strong technical skills and are ready to excel in their career. In collaboration with IBM, this programme is dedicated to providing a combined understanding of theoretical knowledge and practical applications. We ensure that students are not just well-equipped with technical expertise but are also industry-ready. This programme emphasises computer applications, programming languages, machine learning, AI, and data science, enabling students to develop expertise in data visualization, intelligent system development, and data mining.
Programme Highlights
Deciphering the Future with
AI & Data Science
The curriculum of the BCA (Hons. with Research) (AI & Data Science) programme is carfted with utmost care in consultation with industry professionals and experts in such a way that it covers all the skills and knowledge necessary to develop intelligent systems and analyse data to make well-thought 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
- Value-Added Course
Environmental Studies & Disaster Management
- Essentials of Software Engineering Lab
- Data Visualization using Power BI
- 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-I
- Minor Project-I
- MOOC in the domain of AI & Data Science (Swayam/ NPTEL/AICTE’s ELIS )
- Fundamentals of Data Structures
- Fundamentals of Java Programming
- Probabilistic Modelling and Reasoning
- Fundamentals of Java Programming Lab
- Fundamentals of Data Structures Lab
- Open Elective - II
- Value-Added Course
- Verbal Ability
- Summer Internship-I
- Competitive Coding - I
- Community Service
- 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
- Big Data Analysis with Scala and Spark Lab
- Open Elective - III
- Communication & Personality Development
- Minor project-II
- Competitive Coding - II
- Design and Analysis of Algorithms
- Introduction to Computer Organization & Architecture
- Introduction to Natural Language Processing
- Data Science - Tools and Techniques Lab
- Arithmetic and Reasoning Skills
- Design & Analysis of Algorithms Lab
- Natural Language Processing Lab
- Summer Internship-II
- Competitive Coding - III
- Discipline Specific Elective I
- Image Processing & Computer Vision OR
- Introduction to Generative AI OR
- Transfer Learning
- 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
- Applied Programming and Problem-Solving Skills for Campus Interviews (Infosys Connect Program
- Minor Project-III
- Club/Society
Discipline Specific 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 Specific Elective -III
- Mobile Application Development using iOS OR
- DevOps & Automation OR
- .Net FRAMEWORK OR
- New Age Programming Languages
Discipline Specific Elective -IV
- Secure Coding and Vulnerabilities
- Cyber Crime Investigation & Digital Forensics
- AI in Cyber Security
- Social Media Security
Discipline Specific 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 Specific Elective III Lab
- Mobile Application Development using iOS Lab OR
- DevOps & Automation Lab OR
- .Net FRAMEWORK Lab OR
- New Age Programming Languages Lab
Discipline Specific Elective IV Lab
- Secure Coding and Vulnerabilities Lab
- Cyber Crime Investigation & Digital Forensics Lab
- AI in Cyber Security Lab
- Social Media Security Lab
Summer Internship-III
MOOC in the domain of AI & Data Science (Swayam/ NPTEL/AICTE’s ELIS)
Industry Project /Research 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 (Hons. with Research) (AI & Data Science) graduates venture into enriching careers in a range of positions, reflecting the university’s commitment to producing professionals who excel in the competitive global market.
Career Options
Our BCA (Hons. with Research) (AI & Data Science) programme offers lucrative career opportunities to graduates across various industries. Graduates of BCA (Hons. with Research) (AI & Data Science) serve at some of the most renowned corporations and tech companies engaged in introducing new AI & Data Science concepts. Below are the top career paths available for BCA (Hons. with Research) (AI & Data Science) graduates:
Programme
Outcomes
Core Competencies
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
Designing and developing innovative AI and Data Science solutions to tackle complex problems.
05
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.
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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