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BCA in Data Science and Artificial Intelligence

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Bachelor of Computer Application (BCA) with Specialization in Data Science & Artificial Intelligence is a 3-year undergraduate course offered by the School of Computer Application, Babu Banarasi Das University in collaboration with IBM. This course prepares aspirants to face challenges in the IT industry with latest insight. It puts stress on the use of Data Science and Artificial Intelligence. In this course, students will get a deep insight into the field of Data Science and how this industry is growing with the help of Artificial Intelligence.

School of Computer Application has collaborated with IBM which is a leading name in this field. IBM is moving with the idea of helping organizations that are data-driven. With this collaboration, SoCA, BBDU is guiding students into a new direction of a more innovative and effective way of handling data.

Over the course of three years, the student will receive both theoretical and practical knowledge in subjects like Python, Data Visualisation, .Net Framework, Data Warehousing, Data Mining, Artificial Intelligence, Mobile Application Development, Cloud, IoT and handling data using Various Data Analytical Tools.

This course is bounded to prepare the aspirant for the challenges upcoming in the future in IT Industry.

Course Details

School Name: School of Computer Applications
Course Length: 3 Years
Session Start July
Course Type: Full Time
Eligibility Criteria: Minimum Aggregate of 50% or equivalent in 10+2, relaxation in qualification and reservation will be as per UGC and Government Norms
Programme Fee: Rs 49,000/- Per Semester
Syllabus SCA BBDU BCA (DS and AI) 2021-22
Program Outcomes
P01 Computer Application Knowledge: Apply the knowledge of mathematics and computing fundamentals to various real-life applications for any given requirement.
P02 Problem analysis: Expertise to transform complex business scenarios and contemporary issues into problems, investigate, understand as well as propose integrated solutions using upcoming technological methods.
P03 Design/Development of Solutions: Design applications for any desired needs with appropriate considerations for any specific need on societal and environmental aspects
P04 Conduct Investigations of Complex ComputingProblems: Ability to devise and conduct experiments, interpret data and provide well-informed conclusions.
P05 Modern Tool Usage: Integrate and apply efficiently the contemporary IT tools to all computer applications.
P06 Perennial Learning: Involve in perennial learning for continued career development and progress as a computer professional.
P07 Individual and Team Work: Function effectively both as a team leader and team member on multidisciplinary projects to demonstrate computing and management skills.
P08 Environment and Sustainability: Utilize the computing knowledge efficiently in projects with concern for societal, environmental, and cultural aspects.
P09 Project Management: Function competently as an individual and as a leader in multidisciplinary projects
P10 Innovation: Create and design innovative methodologies to solve complex problems for the betterment of society
P11 Entrepreneurship: Apply the inherent skills with absolute focus to function as a successful entrepreneur.
P12 Life long Learning: Recognize the need for, and have the preparation and ability to engage in independent and lifelong learning in technological change.
Program Specific Outcomes
PSO1 Apply Principal of Data Science and knowledge of statistical data analytical techniques utilised to support decision making in business
PSO2 Demonstrate use of teamwork, leadership skills, decision making and organization theory using data analytical tools

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