BCA Artificial Intelligence & Machine Learning
Eligibility: 10+2 (in any stream) with minimum 55% marks
- Duration: 3 Years
- Admission Criteria: CUET/ SAT or Shoolini University's multiple choice entrance test, and faculty interaction
BCA Artificial Intelligence & Machine Learning
Eligibility : 10+2 (in any stream) with minimum 55% marks
- Duration : 3 Years
- Admission Criteria : CUET/ SAT or Shoolini University's multiple choice entrance test, and faculty interaction
BCA AI and ML is an undergraduate program at Shoolini University that provides a strong foundation in computer science and mathematics and an in-depth understanding of AI and ML techniques and applications. The course covers topics such as machine learning algorithms, deep learning, computer vision, natural language processing, and robotics.
Students learn to develop and implement AI and ML models to solve real-world problems, such as image and speech recognition, sentiment analysis, and recommendation systems. They also gain hands-on experience working with popular AI and ML tools and libraries, such as TensorFlow and PyTorch.
In addition, they develop critical thinking and problem-solving skills, which are essential for successful careers in the AI and ML field. By the end of the course, students are well-equipped to pursue advanced studies in AI and ML, or to start careers as AI and ML engineers, data scientists, or AI and ML consultants.
Focus areas include Fundamentals of computer science and mathematics, ML algorithms, decision trees, and neural networks, deep learning techniques, computer vision, Natural language processing, robotics and control systems, project work and hands-on experience in developing AI and ML models.
Shoolini University has collaborations with renowned universities worldwide for student exchange programs, faculty exchange, and more. Prominent among these are the University of Arkansas, USA; Lanzhou University, China; University of Naples, Italy; Taipei Medical University, Taiwan; Gachon University, South Korea; South Dakota Mines University, USA.
Shoolini has dedicated Centres of Excellence for Artificial Intelligence:
- Centre of Excellence in Energy Science and Technology
- Centre for Excellence in Visionary Learning Community of India (VLCI)
Shoolini University is UGC Approved and NAAC Accredited.
XR/AI Research Centre
Drives innovation by offering immersive, hands-on experiences with emerging tech.
Collaboration with AWS Academy
Students can pursue industry-recognised AWS Certifications.
Research Grants
Government agencies such as DST & HIMCOSTE have provided research and infrastructural grants for advanced labs.
BCA Artificial Intelligence & Machine Learning Career Opportunities
- ML Engineer
- Data Scientist
- Machine Learning Developer
- AI and ML Consultant
- Research Scientist
- Computer Vision Engineer
- Natural Language Processing Engineer
- Robotics Engineer
- Business Intelligence Analyst.
Program Details
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Student Voices
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Kartik Sharma
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Top Campus Recruiters
Some of the major companies that visit our campus and hire our graduates are:
Frequently Asked Questions
Who teaches BCA Artificial Intelligence and Machine Learning at Shoolini University?
Shoolini University has experienced and well-qualified teachers as faculty members. Most are doctorates in their respective fields and are actively involved in research and patents. Apart from this, students have regular interactions with industry experts, visiting professors and Professors of Practice.
What are the future opportunities after completing BCA Artificial Intelligence and Machine Learning from Shoolini University?
You can enrol in online courses on platforms like Coursera, IBM, Swayam, and get opportunities for paid internships with big Techno companies. Shoolini provides 100% placement to willing students and consultation for higher education.
Is practical training a part of BCA Artificial Intelligence and Machine Learning?
Yes, practical training is a big part of BCA Artificial Intelligence and Machine Learning. You will gain practical training in the following areas: Hands-on experience in developing AI and ML models using popular tools and libraries, such as TensorFlow and PyTorch; implementing machine learning algorithms for tasks such as image and speech recognition, sentiment analysis, and recommendation systems; working with real-world data sets to develop and test AI and ML models; debugging and troubleshooting AI and ML models; using version control systems, such as Git, to manage AI and ML projects; collaborating with team members on AI and ML projects; presenting AI and ML projects to peers and instructors for feedback and evaluation; participating in group discussions and debates on AI and ML-related topics; and attending workshops, seminars, and guest lectures on AI and ML-related topics.
What placement opportunities are available for students who have completed BCA Artificial Intelligence and Machine Learning at Shoolini University?
Shoolini University has a dedicated and proactive Placement Cell that organises regular campus recruitment drives. Big companies like LT, Videocon, Havells, Microtek, etc., hire our students.
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