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.
Also Read: Explore The Best BCA Career Options Here
Some of the BCA specialisation courses include artificial intelligence, data science and machine learning. 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. 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. There are a few PG courses that can be pursued after completing the BCA programme. This includes MCA, MBA and MIM.FAQs
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