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Gautam Buddha University BCA in Artificial Learning & Machine Learning (AL-ML)

BCA in Artificial Learning & Machine Learning (AL-ML) at Gautam Buddha University - Course, Fees, Admission, Seats, Syllabus

location Kannauj ( Uttar Pradesh )
location Estd In: 2008
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BCA in Artificial Learning & Machine Learning (AL-ML) at Gautam Buddha University - Course, Fees, Admission, Seats, Syllabus
location
Kannauj ( Uttar Pradesh )
location
Estd In: 2008
Last Updated on February 06, 2024 9:37 PM
Gautam Buddha University, situated in Greater Noida, India provides a Bachelor of Computer Applications (BCA) program that offers various specializations. Recognized as an institution for higher education Gautam Buddha University offers students an exceptional learning environment and state of the art facilities to develop their skills and knowledge in the field of computer applications. The BCA program at Gautam Buddha University caters to the evolving industry demands by providing a range of specializations. Students can choose from options like Artificial Intelligence, Data Science, Cybersecurity, Web Development and Mobile Application Development. These specializations equip students with the expertise and practical skills to excel in their chosen area of interest. With a focus on industry relevant curriculum and practical learning experiences Gautam Buddha University ensures that students are well prepared to tackle the challenges brought about by rapid technological advancements. The BCA program is designed to provide students with a foundation in computer applications while allowing them to specialize in their preferred domain. With numerous specialization choices available Gautam Buddha University ensures that students have opportunities to pursue their passion and build a successful career, in the field of computer applications.
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Table of Contents

Gautam Buddha University BCA in Artificial Learning & Machine Learning (AL-ML) Highlights 2024

Course DurationCourse LevelCourse Tuition FeesMode of StudyInstitute Type
3 yearsUndergraduateINR 1,00,000 per yearFull-timePublic

Gautam Buddha University BCA in Artificial Learning & Machine Learning (AL-ML) Important Topics 2024

Important Topics in BCA AL-ML at Gautam Buddha University
Introduction to Programming
Data Structures and Algorithms
Mathematics for Machine Learning
Introduction to Artificial Intelligence
Machine Learning Fundamentals
Deep Learning Concepts
Natural Language Processing
Computer Vision
Statistical Analysis
Python/R for Machine Learning
Neural Networks
Big Data Analytics
Reinforcement Learning
Robotics and Automation
Project Work and Internship

Gautam Buddha University BCA Course FAQs

What is the duration of the BCA in Artificial Learning & Machine Learning (AL-ML) programme at Gautam Buddha University?
The BCA in Artificial Learning & Machine Learning (AL-ML) programme at Gautam Buddha University spans over a period of 3 years.
What are the eligibility criteria for enrolling in the BCA in AL-ML programme at Gautam Buddha University?
To be eligible for the BCA in AL-ML programme at Gautam Buddha University, candidates must have completed their 10+2 or equivalent examination from a recognised board with Mathematics as a compulsory subject.
What is the fee structure for the BCA in AL-ML programme at Gautam Buddha University?
The total fee for the BCA in AL-ML programme at Gautam Buddha University is approximately Rs. 1,50,000 per annum.
What kind of career opportunities can one expect after completing the BCA in AL-ML from Gautam Buddha University?
After completing the BCA in AL-ML from Gautam Buddha University, graduates can expect opportunities in fields such as data analysis, machine learning engineering, artificial intelligence development, software development, and research analysis among others.
Does Gautam Buddha University provide placement assistance for BCA in AL-ML graduates?
Yes, Gautam Buddha University has a dedicated placement cell that provides placement assistance to BCA in AL-ML graduates. The university organises campus recruitment drives with various reputed companies across multiple sectors.

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