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 University is UGC Approved and NAAC Accredited.
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.
Sr. No. | COURSE NAME | CREDITS | COURSE TYPE | |
Theory | ||||
Semester-I | 1 | Functional English | 3 | |
2 | Fundamental Mathematics1 | 3 | University Foundation | |
3 | Logic Building with Computer Programming | 2 | Cluster Foundation | |
4 | Living in the Digital Age | 3 | ||
5 | Sprint CSE | 1 | Life Skill | |
6 | Induction | 0 | Non credit | |
7 | Aptitude (New) | 2 | Life Skill | |
8 | English Writing & Speaking (New) | 2 | Life Skill | |
Practical | ||||
1 | Front End Development Lab | 1 | Core | |
2 | Logic Building with Computer Programming Lab | 1 | Cluster Foundation | |
3 | H/Ws and Office Automation Lab | 1 | Core | |
Total | 19 | |||
Winter Internship -I | ||||
Theory | ||||
Semester-II | 1 | Design Thinking | 3 | Universitty Foundation |
2 | Algorithm and Data Structure | 3 | Core | |
3 | Digital Electronics | 2 | Cluster Foundation | |
4 | OOPS using C++ Language | 2 | Core | |
5 | Minor | 4 | Minor | |
6 | Aptitude (New) | 2 | Life Skill | |
7 | English Writing & Speaking (New) | 2 | Life Skill | |
8 | Sprint CSE | 1 | Life Skill | |
Practical | ||||
1 | Digital Electronics Lab | 1 | Cluster Foundation | |
2 | OOPS using C++ Language Lab | 1 | CSFC | |
3 | Algorithm and Data Structure Lab | 1 | Core | |
Total | 22 | |||
Theory | ||||
Semester-III | 1 | Discrete Mathematics | 3 | Core |
2 | Analysis and Design of Algorithm | 3 | Core | |
3 | Computer Architecture and Organization | 3 | Core | |
4 | C# Programming | 2 | Core | |
5 | Minor | 4 | Minor | |
6 | Aptitude (New) | 2 | Life Skill | |
7 | English Writing & Speaking (New) | 2 | Life Skill | |
8 | Sprint CSE | 1 | Life Skill | |
Practical | ||||
1 | Analysis and Design of Algorithm Lab | 1 | Core | |
2 | Java Programming Lab | 1 | Core | |
Total | 22 | |||
Winter Internship -II | ||||
Theory | ||||
Semester-IV | 1 | Database Management System | 2 | Core |
2 | Formal Languages and Automata | 3 | Core | |
3 | Operating System | 3 | Core | |
4 | Python Application Programming | 2 | Core | |
5 | Minor | 4 | Minor | |
6 | Aptitude (New) | 2 | Life Skill | |
7 | English Writing & Speaking (New) | 2 | Life Skill | |
8 | Sprint CSE | 1 | Life Skill | |
Practical | ||||
1 | Database Management System Lab | 1 | Core | |
2 | Python Application Programming Lab | 1 | Core | |
Total | 21 | |||
Theory | ||||
Semester-V | 1 | Data Communication and Networking | 3 | Core |
2 | Machine Learning | 2 | Core Elective -I | |
3 | Software Engineering | 3 | Core | |
4 | Artificial Intelligence | 3 | Core | |
5 | Minor | 4 | Minor | |
6 | Aptitude (New) | 2 | Life Skill | |
7 | English Writing & Speaking (New) | 2 | Life Skill | |
8 | Sprint CSE | 1 | Life Skill | |
Practical | ||||
1 | Machine Learning Lab | 1 | Core Elective -I | |
2 | Artificial Intelligence Lab | 1 | Core | |
Total | 22 | |||
Winter Internship -III | ||||
Theory | ||||
Semester-VI | 1 | Programming in JavaScript | 2 | Core |
2 | Deep Learning | 2 | Core Elective -II | |
3 | Aptitude (New) | 2 | Life Skill | |
4 | English Writing & Speaking (New) | 2 | Life Skill | |
5 | Sprint CSE | 1 | Life Skill | |
Practical | ||||
1 | Programming in JavaScript Lab | 1 | Core | |
2 | Project | 4 | Research | |
Total | 14 | |||
Total Credits(19+22+22+21+22+14) | 120 |
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.
How do you expose students to industry experience?
You can get industry exposure and experience in various ways, such as internships, where you work in a professional environment to gain hands-on experience. During company visits to local businesses, you can see firsthand what it's like to work in your chosen field. Through job shadowing, you can spend a day or half-day with a professional to gain insights into the day-to-day operations. We organise regular networking events with industry professionals for the exchange of ideas.
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.
Do you have a strong alumni network?
Yes, we have a strong alumni network in government sectors, Top IT/Tech institutions and companies. They play an active role in voluntary programs like mentoring students in their areas of expertise. Shoolini Alumni Association organises alumni meets every year where they share their knowledge and best practices in each field.