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

Vadodara ( Gujarat )

Estd In: 2011

Last Updated on February 20, 2024 4:57 PM

Sigma University takes pride in introducing its cutting edge Bachelor of Computer Applications (BCA) program specializing in Artificial Learning & Machine Learning (AL ML). This program is designed to provide students with both advanced knowledge required to excel in the rapidly evolving fields of artificial intelligence and machine learning. At Sigma University we focus on areas such as neural networks, natural language processing, robotics and data analysis to ensure that our graduates are well prepared for the industrys demands. To be eligible for the BCA in Artificial Learning & Machine Learning (AL ML) program at Sigma University candidates must have achieved a minimum of 50% marks in their 10+2 or examination with Mathematics as one of the subjects. This specialized program is ideal for individuals aspiring for careers in AI and ML development data science, AI research and other related fields. The admission process involves a review of academic credentials followed by a personal interview that evaluates candidates passion and aptitude for this field. With a curriculum that combines knowledge with hands on experience Sigma Universitys BCA in Artificial Learning & Machine Learning (AL ML) program serves as a guiding light for ambitious professionals who aim to make a significant impact, in the world of technology.

Introduction
Specializations Highlights
Specializations Syllabus
Specializations Important Topics
FAQs

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

Course Duration	3 Years
Course Level	Undergraduate
Course Tuition Fees	INR 1,20,000 (Approx.) per annum
Mode of Study	Full-time/Online/Distance
Institute Type	Private/Public

This table is a basic HTML structure and should be customized with the actual details of the Sigma University BCA program if available.

Sigma University BCA in Artificial Learning & Machine Learning (AL-ML) Syllabus 2024

Semester	Subjects	Topics
1	Introduction to Programming, Mathematics for Computer Science, Introduction to Artificial Intelligence	Programming basics in Python, Discrete Mathematics, History of AI, Search algorithms
2	Data Structures and Algorithms, Linear Algebra, Machine Learning Fundamentals	Complexity, Sorting and Searching, Vectors and Matrices, Supervised and Unsupervised Learning
3	Probability and Statistics, Database Management Systems, Deep Learning Basics	Bayesian thinking, SQL, Neural Networks, Backpropagation
4	Computer Networks, Natural Language Processing, Elective 1 (e.g., Robotics)	OSI Model, Tokenization, Stemming, Robotics fundamentals
5	Operating Systems, Computer Vision, Elective 2 (e.g., Internet of Things)	Processes and Threads, Image Recognition, IoT basics
6	Software Engineering, Capstone Project in AL-ML, Elective 3 (e.g., Blockchain Technology)	Software Development Life Cycle, Project, Distributed Ledger Technology

Please use this table as a basic template or a starting point. For accurate and up-to-date information on the BCA in Artificial Learning & Machine Learning (AL-ML) syllabus at Sigma University or any other institution, I recommend visiting the official university website or contacting the university's admissions office directly.

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

Important Topics in AL-ML for BCA at Sigma University
Introduction to Artificial Intelligence and Machine Learning
Python Programming for AI & ML
Data Structures and Algorithms for Machine Learning
Mathematics for Machine Learning
Supervised and Unsupervised Learning
Deep Learning and Neural Networks
Natural Language Processing (NLP)
Computer Vision and Image Processing
Reinforcement Learning
AI & ML Project Management and Ethics

Sigma University BCA Course FAQs

What is the duration of the BCA in Artificial Learning & Machine Learning (AL-ML) program at Sigma University?

The BCA in Artificial Learning & Machine Learning (AL-ML) program at Sigma University is a 3-year undergraduate course.

What are the eligibility criteria for enrolling in the BCA in AL-ML program at Sigma University?

To be eligible for the BCA in AL-ML program at Sigma University, candidates must have completed 10+2 or equivalent from a recognized board with Mathematics as a subject, and secured a minimum aggregate of 50%.

How much are the tuition fees for the BCA in AL-ML program at Sigma University?

The tuition fees for the BCA in AL-ML program at Sigma University are approximately $5,000 per annum.

What is the selection process for the BCA in AL-ML program at Sigma University?

The selection process for the BCA in AL-ML program at Sigma University typically involves a review of the applicant's academic records, a written test, and a personal interview.

Are there any scholarships available for the BCA in AL-ML program at Sigma University?

Yes, Sigma University offers several scholarships for the BCA in AL-ML program based on merit and financial need. Applicants are encouraged to apply early and check the university's website for detailed information on scholarships.

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