Overview
Bachelor of Computer Application with Specialization in AI & Data Science is a three-year undergraduate programme brought in association with Samatrix and IBM, BCA in AI & Data Science focuses on deepest insights into the science of Big Data Analytics and how Artificial Intelligence is driving the growth. Students will receive both theoretical and practical knowledge in subjects like Java, Net Frameworking, Data Warehousing, Data Mining, Mobile Application Development & handling data.
Eligibility Criteria
Candidate must have passed 10+2 examination or equivalent in any stream with mathematics/IP and CS as one subject with minimum 50% aggregate marks.
Programme Details
Programme Highlights
Building exceptional understanding and expertise to turn ideas into solutions, the Bachelor’s in Computer Applications aims at ensuring rigorous pragmatic training and hands-on experience in working on advanced new-age systems and technologies.
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The curriculum is specifically designed in consultation with industry insiders and experts
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Realistic hands-on training for absolute excellence
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Globally accredited certification upon successful completion of the BCA with Specialization in AI and data science programme
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Consistent mentoring by acclaimed academicians and top industry experts
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Highly sophisticated laboratories equipped with cutting-edge tech apparatus
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Ensuring absolute preparedness for successful career progression
Programme Structure
Semester 1 |
Course Title |
Credit |
Overview of AI, Data Science, Ethics and Foundation of Data Analysis |
2 |
Introduction to Computers & IT, Office Automation |
4 |
Programming for Problem Solving( With IBM offered Course Python ) |
3 |
Basics of Mathematics |
4 |
Environmental Studies |
3 |
Disaster Management |
3 |
Introduction to Computers & IT, Office Automation Lab |
1 |
Programming for Problem Solving( With IBM offered Course Python ) Lab |
1 |
Overview of AI, Data Science, Ethics and Foundation of Data Analysis Lab |
1 |
Semester 2 |
Course Title |
Credit |
Communication Skills |
4 |
Object Oriented Programming |
4 |
Web Technologies |
4 |
Data Analysis and Data Visualization using Python |
2 |
Web Technologies Lab |
1 |
Object Oriented Programming Lab |
1 |
Data Analysis and Data Visualization using Python |
1 |
Open Elective |
3 |
Semester 3 |
Course Title |
Credit |
Data Structures |
4 |
Probabilistic Modelling and Reasoning with Python |
2 |
R Programming for Data Analytics and Data Analytics |
2 |
Operating Systems |
4 |
Java Programming |
4 |
Data Structures Lab |
1 |
Java Programming Lab |
1 |
Operating System Lab |
1 |
Probabilistic Modelling and Reasoning with Python Lab |
1 |
R Programming for Data Science and Data Analytics Lab |
1 |
Business Communication Skills- I |
1 |
Semester 4 |
Course Title |
Credit |
Computer Organization & Architecture |
4 |
Database Management Systems |
4 |
Enterprise Computing in JAVA |
4 |
Foundation of Machine Learning |
3 |
Mobile Application Development |
4 |
Enterprise Computing in JAVA Lab |
1 |
Database Management Systems Lab |
1 |
Mobile Application Development Lab |
1 |
Net Framework Lab (With Machine Learning Lab) |
2 |
Business Communication Skills- I |
1 |
Semester 5 |
Course Title |
Credit |
Big Data Analytics offered by IBM |
3 |
Web Based Programming using PHP |
4 |
Linux Environment (With Data Visualization and Story Telling) |
2 |
Computer Networks |
4 |
Foundation of Neural Network and Deep Learning |
2 |
Web Based Programming Using PHP Lab |
1 |
Quantitative Aptitude Reasoning - I |
1 |
Big Data Analytics Lab |
1 |
Practical Training |
1 |
Data Visualization and Story Telling Lab |
1 |
Foundation of Neural Network and Deep Learning Lab |
1 |
Value Added Courses |
0 |
Semester 6 |
Course Title |
Credit |
Mobile Computing |
4 |
Cloud Computing |
4 |
Software Engineering |
4 |
Artificial Intelligence |
4 |
Cloud Computing Lab |
1 |
Artificial Intelligence Lab |
1 |
Quantitative Aptitude Reasoning - II |
1 |
Major Project |
6 |
Multimedia Technologies |
4 |
Multimedia Technologies Lab |
1 |
Network Security & Cryptography |
4 |
Network Security & Cryptography Lab |
1 |
Software Testing |
4 |
Software Testing Lab |
1 |
Who should Pursue
Students who are interested in the use of modern technologies, the IT sector, and data science and are keen learners who want to have a career as a software developer or engineer should opt for BCA in AI and Data Science programme.
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.
Benefits:
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Quick and Instant
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Includes tuition fees, books cost, hostel fees, airfare.
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Concessional rate of interest.
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Speedy disposal of loan applications
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Availability of the loan across the country
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Up to 100% loan with lower interest rate and zero processing fees
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Repayment tenure ranging from 5-15 years.
Career Options
Students who graduate from BCA with specialization in Artificial Intelligence and Data Science will have the opportunity to go into various job profiles such as
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Software Engineer
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Business Analyst
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Data Scientist
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Digital Marketer
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CyberSecurity Experts
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Go for MCA
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Software Developer
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Blockchain Professional
Placements
K.R. Mangalam University aims at making students industry-ready with a regular curriculum and academic placements. KRMU has joined hands with well-respected companies like IBM, Punjab National Bank, Flipkart, Axis Bank, Microsoft, Bank of Baroda and many other top recruiters.
Faq
Yes, K.R. Mangalam University extends promising financial assistance in partnership with major banks and firms including GrayQuest, ICICI Bank, IDFC FIRST Bank, and Axis Bank.
Some of the top recruiters offering leading roles to BCA (AI & Data Science) graduates are IBM, Punjab National Bank, Flipkart, Axis Bank, Microsoft, Bank of Baroda, and HCL.
The total fee for BCA in AI & Data Science programme is INR 1,75,000/- which is to be paid semester-wise. The fee for Semester I is INR 75,000/- and for Semester II is INR 70,000/-
Yes, the students inclined to pursue the BCA (AI & Data Science) programme may be eligible for the scholarship in accordance with the terms and conditions.
The students seeking admission to BCA (AI & Data Science) are required to fill out the Online Application Form and take the KREE Entrance Assessment Test. Upon successful clearance, the shortlisted students have to attend the Faculty-Led Interview for confirmed successful enrolment.
Some of the key study areas covered in the BCA (AI & Data Science) curriculum includes Basics of Mathematics, Object Oriented Programming, Web Technologies, Data Structures, Java Programming, Computer Organization & Architecture, and Database Management Systems.