BCA Artificial Intelligence & Machine Learning

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  

Ashish Khosla
Ashish KhoslaProfessor
Virender Rihani
Virender RihaniProfessor
Shyam Singh Chandel
Shyam Singh ChandelProfessor
M S Thakur
M S ThakurProfessor
Bhaskar Goel
Bhaskar GoelProfessor
Ram Prakash Dwivedi
Ram Prakash DwivediProfessor
Abhilash Pathania
Abhilash PathaniaAssistant Professor
Pankaj Vaidya
Pankaj VaidyaProfessor
Raj Kumar Saini
Raj Kumar SainiAssociate Professor
Raj Kumar
Raj KumarAssociate Professor
Sorabh Aggarwal
Sorabh AggarwalAssistant Professor
Sushil Kumar
Sushil KumarAssistant Professor
Veena Kashyap
Veena KashyapAssistant Professor
Brij Bhushan Sharma
Brij Bhushan SharmaAssistant Professor
Namita Gandotra
Namita GandotraAssistant Professor
Diksha Sharma
Diksha SharmaAssistant Professor
Nitisha Sharma
Nitisha SharmaAssistant Professor
Sonia
SoniaAssistant Professor
Arunava Poddar
Arunava PoddarAssistant Professor
Arvind Singh Bisht
Arvind Singh BishtAssistant Professor
Kushal Kanwar
Kushal KanwarAssistant Professor
Bharti Thakur
Bharti ThakurAssistant Professor
Prachi Agrawal
Prachi AgrawalAssistant Professor
Navsal Kumar
Navsal KumarAssistant Professor
Nitin Kumar Sharma
Nitin Kumar SharmaAssistant Professor
Rahul Chandel
Rahul ChandelAssistant Professor
Ishani Sharma
Ishani SharmaAssistant Professor
Maya Thapa
Maya ThapaAssistant Professor
Piyush Sewal
Piyush SewalAssistant Professor
Kanika
KanikaAssistant Professor

Frequently Asked Questions

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.

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.

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.

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.

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.

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Course Details

  • Eligibility: 10+2 (in any stream) with minimum 55% marks

  • Admission Criteria: CUET/NEET/JEE/ SAT or Shoolini University's multiple choice entrance test (SU-SAT)

  • Duration: 3 years

  • Fee Structure

    Semester Fee : 54450