The Bachelor of Computer Application (BCA) Big Data Machine Learning is an undergraduate course that involves the study of technical and practical aspects of developing methods of recording, storing, and analyzing large amounts of data to effectively extract useful information for new business strategies. Candidates are trained with competency and technical skills that are necessary to design, develop, manage, and apply digital data to increase customer interest, engagement, communication, and business. Candidates are trained to create programs and algorithms to record and process data, while the data science covers any type of data analysis. It is an interdisciplinary subject involving the application of Electronics, Mathematics, Probability, and Statistics in the development of useful data, structuring, maintenance of data stocks and business analysis, and models.
Skills like project management, leadership, planning, and execution, analytical reasoning, decision-making, and entrepreneurship are enhanced through this course
SEM 1 SEM 2
KANNADA/HIDI/FRENCH | KANNADA II /HINDI/FRENCH |
ENGLISH-1 |
ENGLISH II |
PROGRAMMING IN C | DATA STRUCTURE AND ALGORITHMS |
MATHEMATICS-1 | MATHEMATICS II |
PROGRAMMING IN C LAB | OPERATING SYSTEM LAB |
MS OFFICELAB | DATA STRUCTURES AND ALGORITHM LAB |
SEM 3 SEM 4
PROGRAMMING IN JAVA | DATABASE MANAGEMENT SYSTEMS |
COMPUTER NETWORKS | MACHIENE LEARNING |
STATISTIC AND PROBABILITY | R PROGRAMMING LANGUAGE |
INTRODUCTION TO DATA SCIENCE | R PROGRAMMING LANGUAGE LAB |
PROGRAMMIG IN JAVA LAB | DBMS LAB |
COMPUTER NETWORKS LAB | ENVIRONMENTAL STUDIES |
SOFT SKILLS - I | SOFT SKILLS - II |
SEM 5 SEM 6
DISCIPLINE SPECIFIC ELECTIVE -1 | DISCIPLINE SPECIFIC ELECTIVE - 5 |
DISCIPLINE SPECIFIC ELECTIVE - 2 | DISCIPLINE SPECIFIC ELECTIVE - 6 |
DISCIPLINE SPECIFIC ELECTIVE - 3 | GNERIC ELECTIVE - 2 |
DISCIPLINE SPECIFIC ELECTIVE - 4 | SEC - 2 |
DISCIPLINE SPECIFIC ELECTIVE - 2 LAB | PROJECT WORK |
GENERIC ELECTIVE - 1 | |
SC - 1 |
Student Review About Course