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
- Mathematics for Modern Computing Applications
- Foundations of Web Development
- Problem Solving with Python
- Essentials of Computer Science and Career Skills
- Data Visualization with Power BI
- VAC-I (Environmental Studies & Disaster Management)
- Foundations of Data-Driven Decision Making
- Analysis & Design of Algorithms
- Back-End Web Development
- Specializaton Course-I (Foundations of Practical Data Science)
- Open Elective-II
- Verbal Ability
- Summer Internship-I
- Competitive Coding - I
- Community Service
- VAC-II
- Foundations of Operating Systems
- Mobile Application Development
- Specilaization Course-III (Machine Learning Fundamentals)
- Specilaization Course-IV (Big Data Processing and Cloud-Based Analytics)
- Arithmetic and Reasoning Skills
- Summer Internship-II
- Competitive Coding - III
- Introduction to Computer Networks
- Agile Software Engineering Essentials
- Specilaization Course- V (Deep Dive into Machine Learning Techniques)
- Specilaization Course- VI (Generative Models and Applications)
- Comprehensive Placement Preparation
- Minor Project-III
- Competitive Coding - IV
BCA Honors
Applied Generative AI
Specilaization Course- VII (From Models to Products: Data Science in Practice)
MOOC in the relevant domain of Specilaization (Swayam/ NPTEL/AICTE’s ELIS )
Major Project -I
Summer Internship-III
BCA (Honours with Research)
Applied Research Methodologies in Computer Science
Specilaization Course- VII
MOOC in the relevant domain of Specilaization (Swayam/ NPTEL/AICTE’s ELIS )
Major Project -I
Summer Internship-III
BCA (Honours)
Industry Internship
Major Project-II (Industry Track)
MOOC in the relevant domain of Specilaization (Swayam/ NPTEL/AICTE’s ELIS )
BCA (Honours with Research)
Research Internship
Major Project-II (Research Track)
MOOC in the relevant domain of Specilaization (Swayam/ NPTEL/AICTE’s ELIS )
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
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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