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SAGE University Bhopal BCA in Artificial Learning & Machine Learning (AL-ML)

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

location Bhopal ( Madhya Pradesh )
location Estd In: 2019
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BCA in Artificial Learning & Machine Learning (AL-ML) at SAGE University Bhopal - Course, Fees, Admission, Seats, Syllabus
location
Bhopal ( Madhya Pradesh )
location
Estd In: 2019
Last Updated on February 06, 2024 9:08 PM
SAGE University Bhopal is a known institution that offers a wide range of specializations in its Bachelor of Computer Applications (BCA) program. The emphasis here is on learning and gaining skills that are relevant to the industry. SAGE University Bhopal provides students with an opportunity to excel in the field of computer applications. Students at SAGE University Bhopal have BCA specializations to choose from, including Web Development, Mobile Application Development, Data Science, Artificial Intelligence and Cybersecurity. These specializations are designed to equip students with the knowledge and expertise required to meet the evolving demands of the IT industry. The BCA program at SAGE University Bhopal is designed carefully to provide students with an understanding of computer applications, programming languages, database management, software development and other important aspects of this field. Students are encouraged to explore their interests and choose a specialization that aligns with their career goals. With its infrastructure experienced faculty members and collaborations, with industry experts SAGE University Bhopal ensures that students receive a well rounded education that prepares them for successful careers in the rapidly expanding field of computer applications.
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Table of Contents

SAGE University Bhopal 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-timePrivate

SAGE University Bhopal BCA in Artificial Learning & Machine Learning (AL-ML) Important Topics 2024

SemesterImportant Topics
Semester 1Introduction to Programming, Mathematics for Computer Science, Basics of Artificial Intelligence
Semester 2Object-Oriented Programming, Data Structures, Fundamentals of Machine Learning
Semester 3Database Management Systems, Operating Systems, Statistics for Machine Learning
Semester 4Algorithms, Computer Networks, Deep Learning Fundamentals
Semester 5Natural Language Processing, Computer Vision, Reinforcement Learning
Semester 6Capstone Project, Advanced Topics in AI & ML, Industry Internship

SAGE University Bhopal BCA Course FAQs

What is the duration of the BCA in Artificial Learning & Machine Learning (AL-ML) specialization at SAGE University Bhopal?
The BCA in Artificial Learning & Machine Learning (AL-ML) specialization at SAGE University Bhopal is a 3-year undergraduate program.
What are the eligibility criteria for enrolling in the BCA AL-ML program at SAGE University Bhopal?
To enroll in the BCA AL-ML program at SAGE University Bhopal, candidates must have completed their 10+2 or equivalent examination from a recognized board with Mathematics as a subject.
What kind of career opportunities can I expect after completing the BCA in AL-ML from SAGE University Bhopal?
After completing the BCA in AL-ML from SAGE University Bhopal, graduates can pursue careers as Machine Learning Engineers, Data Scientists, AI Developers, and Research Scientists, among others in IT companies, research institutions, and tech startups.
Does SAGE University Bhopal provide placement assistance for BCA AL-ML graduates?
Yes, SAGE University Bhopal has a dedicated placement cell that provides placement assistance to BCA AL-ML graduates. The university has tie-ups with various industries and corporations to facilitate campus placements.
Are there any practical learning opportunities or projects included in the BCA AL-ML curriculum at SAGE University Bhopal?
Yes, the BCA AL-ML curriculum at SAGE University Bhopal includes practical learning opportunities through lab sessions, workshops, seminars, and projects. These are designed to provide hands-on experience with AI and machine learning technologies.

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