Understanding BCA Specialisation in AI & Data Science

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We live in a technology-driven world where fields like data science and artificial intelligence are evolving constantly. Students interested in shaping the future with the power of programming and analytical skills should opt for a BCA specialisation in Artificial Intelligence and Data Science. Amongst all of the BCA specialisation list, BCA in AI & DS has proven to be beneficial as it equips students with critical skills to excel in this fastest-growing industry. Let’s learn more.

Overview of BCA in AI & Data Science

BCA specialisation in AI and data science is a 4-year undergraduate programme that is an in-depth study of software programming & application development. It enables students to broaden their expertise in big data analytics, predictive modelling, deep learning, machine learning and more. Since there is a shortage of skilled Data Science professionals, the candidates can secure high-paying positions globally.

Course Details

Full Course Name	Bachelor of Computer Applications in Artificial Intelligence and Data Science
Course Type	Undergraduate
Course Duration	4 Years
Admission Eligibility Criteria	10+2 or equivalent examination from any recognised board/university in any stream + Minimum 50% aggregate marks
Programme Fee Per Year	Rs.1,65,000
Average Salary	3-5 LPA
Career Options	Data Analyst, Advanced Machine Learning Engineer, Business Intelligence Analyst, Strategic Business Intelligence Developer,

Best University for BCA Specialisation

If you are searching for the best BCA college in Gurugram region, K.R. Mangalam University is your answer. KRMU offers a full-time course in BCA in AI & Data Science. It is a 4-year undergraduate programme and the curriculum is designed in collaboration with industry experts. We help students develop critical thinking and problem-solving skills along with technical and practical knowledge. More details are given below.

BCA Requirements for Admission

The eligibility criteria to gain admission to KRMU are as follows

A candidate is required to pass a 10+2 or equivalent examination from any recognised board/university in any stream.
A student must secure a minimum of 50% aggregate marks.

How to Apply for BCA

Candidates can apply for a BCA in AI & Data Science at K.R. Mangalam University by following the given steps.

Visit the KRMU website.
Pay the required application fee.
Give the K.R. Mangalam University Entrance Exam (KREE).
Go for the faculty-led interview.
Upon successful interaction, receive an admission letter.

Course Structure

Year 01

Semester I	Semester II
Web Designing Using HTML, CSS, Java Script & PHP	Fundamentals of Object Oriented Programming using C++
Basics of Mathematics	Discrete Structure
Clean Coding with Python	Overview of AI, Data Science, Ethics and Foundation of Data Analysis
Essentials of Software Engineering	R Programming for Data Science and Data Analytics Lab
Web Design Lab	Object Oriented Programming Lab using C++
Clean Coding with Python Lab	Overview of AI, Data Science, Ethics and Foundation of Data Analysis Lab
Value-Added Course	Open Elective-I
Essentials of Software Engineering Lab	Minor Project-I
Data Visualisation using Power BI	MOOC in the domain of AI & Data Science (Swayam/ NPTEL/AICTE’s ELIS)

Year 02

Semester III	Semester IV
Fundamentals of Data Structures	Fundamentals of Operating Systems
Fundamentals of Java Programming	Fundamentals of Database Management Systems
Probabilistic Modelling and Reasoning	Foundation of Machine Learning
Fundamentals of Java Programming Lab	Fundamentals of Operating System Lab
Fundamentals of Data Structures Lab	Foundation of Machine Learning Lab
Open Elective – II	Fundamentals of Database Management Systems Lab
Value-Added Course	Big Data Analysis with Scala and Spark Lab
Verbal Ability	Open Elective – III
Summer Internship-I	Communication & Personality Development
Competitive Coding – I	Minor Project-II
Community Service	Competitive Coding – II

Year 03

Semester V	Semester VI
Design and Analysis of Algorithms	Discipline Specific Elective I
Introduction to Computer Organisation & Architecture	Introduction to Computer Networks
Introduction to Natural Language Processing	Basics of Neural Networks and Deep Learning
Data Science – Tools and Techniques Lab	Discipline Specific Elective I Lab
Arithmetic and Reasoning Skills	Computer Networks Lab
Design & Analysis of Algorithms Lab	Neural Networks and Deep Learning Lab
Natural Language Processing Lab	Applied Programming and Problem-Solving Skills for Campus Interviews (Infosys Connect Program
Summer Internship-II	Minor Project-III
Competitive Coding – III	Club/Society

Year 04

Semester VII	Semester VIII
Discipline Specific Elective -II	Industry Project /Research Project
Discipline Specific Elective -III
Discipline Specific Elective -IV
Discipline Specific Elective -II Lab
Discipline Specific Elective III Lab
Discipline Specific Elective IV Lab
Summer Internship-III
MOOC in the domain of AI & Data Science (Swayam/ NPTEL/AICTE’s ELIS)

Conclusion

BCA specialisation in AI and Data Science is an excellent choice for students interested in data, technology and innovation. This forward-looking choice opens up a broad spectrum of career choices in big data and advanced analytics. If you are eager to become a part of something vital, K.R. Mangalam University helps you build a strong foundation. With the academic support of corporate giants such as Samatrix and IBM, your future is in good hands. KRMU also collaborates with industry leaders like IBM, Punjab National Bank, Flipkart, Axis Bank, Microsoft, Bank of Baroda, etc.

Frequently Asked Questions

What are some BCA specialisation programmes?

Some of the BCA specialisation courses include artificial intelligence, data science and machine learning.

Is BCA specialisation in AI and data science worth it?

Due to advancements in cutting-edge technology and the bolstering of data-driven decisions, the BCA specialisation in AI and data science is highly lucrative and worthy.

Who is eligible for BCA in AI & data analytics programme?

A candidate is required to pass a 10+2 or equivalent examination from any recognised board/university in any stream. They should also secure a minimum of 50% aggregate marks.