• Code20212
  • DeliveryFull-time
  • Length3 Years
  • CredentialBachelor of Computer Applications

Program Description

Machine learning is an emerging technology which enables computers to learn automatically from past data. It uses various algorithms for building mathematical models and making predictions using historical data or information. Currently, it is being used for various tasks such as image recognition, speech recognition, email filtering, Facebook auto-tagging, recommender system, and many more. BCA in ML is a specialized program to cater to huge demand in IT and Machine Learning.

PROGRAMME OUTCOMES

PO1: Engineering knowledge: To apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO2: Problem analysis: To identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO3: Design/development of solutions: To design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

PO4: Conduct investigations of complex problems: T use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

PO5: Modern tool usage: To create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

PO6: The engineer and society: To apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

PO7: Environment and sustainability: To understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

PO8: Ethics: To apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9: Individual and Team Work: To function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10: Communication: To communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

PO11: Project Management and Finance: To demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

PO12: Life-long Learning: To recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Tuition Fee

Yearly

Semester

  • 1st Year ₹2,00,000
  • 2nd Year ₹1,60,000
  • 3rd Year ₹1,60,000
  • 1st Sem ₹1,20,000
  • 2nd Sem ₹80,000
  • 3rd Sem ₹80,000
  • 4th Sem ₹80,000
  • 5th Sem ₹80,000
  • 6th Sem ₹80,000

BCA with Specialization in Machine Learning in Association with Microsoft
Admission Process

01

Complete
the Application

02

Get Shortlisted
and Receive the
Letter

03

To Book Your
Seat Asap

BCA with Specialization in Machine Learning in Association with Microsoft
Admission Requirement

Passed the XII standard from any recognized Education Board with a minimum of 50% marks and English as a compulsory subject.

Our FacilitiesResearch & Laboratory Facilities

Computer Lab

Computer Lab

BCA with Specialization in Machine Learning in Association with Microsoft Syllabus

Semester-I
Semester-II
Semester-III
Semester-IV
Semester-V
Semester-VI
List of Department Electives
List of Open Electives

Career Opportunities

  • Artificial Intelligence / Machine Learning Developer
  • Lead Artificial Intelligence / Machine Learning Engineer
  • Artificial Intelligence / Machine Learning Architect
  • Data Scientist
  • Research scientist
  • Data Analyst
  • Business Analyst
  • NLP Engineer.

Kickstart Your Careers

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