Empowering the Next Generation of Data & Technology Professionals
The Bachelor of Computer Applications (BCA) in Data Science at MVJ Degree College is a future-focused three-year undergraduate programme, affiliated with Bengaluru North University and structured across six semesters. Designed to meet the demands of today’s digital and data-driven economy, the programme equips students with a strong foundation in computer science, programming, and data analytics, enabling them to turn data into meaningful insights and informed decisions.
By combining academic rigor with practical exposure, the programme prepares students to thrive in the fast-evolving fields of information technology, analytics, artificial intelligence, and machine learning.
The BCA (Data Science) curriculum is carefully crafted to provide both depth and versatility, covering core and emerging areas of technology:
Each semester integrates theory with hands-on practical learning, helping students develop strong analytical thinking, logical reasoning, and problem-solving skills essential for real-world applications.
INTRODUCTION:
The Bachelor of Computer Applications (BCA) in Data Science is a comprehensive three-year undergraduate programme affiliated to Bengaluru North University. It is designed to equip students with the essential knowledge and technical skills required to excel in the ever-evolving fields of information technology and data analytics. The programme offers a balanced mix of computer science fundamentals, programming, database management, statistics, and data analytics, enabling students to analyze, interpret, and manage data effectively.
With a strong focus on practical learning and industry relevance, the course prepares students for diverse career paths in areas such as software development, data analysis, artificial intelligence, and machine learning. It also lays a solid foundation for higher education opportunities like MCA, M.Tech, MS (Computer Science), or MBA, fostering both professional competence and analytical thinking essential for success in the digital era.
What makes BCA (Data Science) at MVJ Degree College stand out is its industry-relevant and application-oriented approach. Students gain extensive exposure through:
This ensures students graduate with the confidence and competence expected by today’s technology-driven industries.
Graduates of the BCA (Data Science) programme are well-prepared for diverse career roles, including:
The programme also provides a strong academic base for pursuing higher education, such as MCA, M.Tech, MS (Computer Science), or MBA in India and abroad.
To boost employability and global readiness, MVJ Degree College integrates value-added and certification courses in emerging technologies alongside the core curriculum. These certifications enhance technical proficiency and give students a competitive edge in the job market.
The programme is guided by experienced faculty members who blend academic expertise with industry insights. Learning is supported by:
This environment encourages innovation, collaboration, and continuous skill development.
At MVJ Degree College, the BCA (Data Science) programme goes beyond conventional education. With a strong focus on academic excellence, practical exposure, holistic development, and career mentoring, students are empowered to become skilled IT professionals and data-driven decision-makers.
Choose BCA (Data Science) at MVJ Degree College—where data meets opportunity and innovation shapes your future.
Capability to demonstrate comprehensive knowledge of computer science, programming languages, database management, and data analytics. Ability to apply this knowledge effectively in designing and developing software solutions and data-driven applications.
Ability to communicate technical information, analytical findings, and project outcomes clearly and effectively to both technical and non-technical audiences using appropriate documentation and presentation tools.
Ability to communicate technical information, analytical findings, and project outcomes clearly and effectively to both technical and non-technical audiences using appropriate documentation and presentation tools.
Capability to analyze problems logically, interpret data, and evaluate multiple solutions using computational and statistical reasoning. Ability to apply theoretical concepts to practical data scenarios and make informed decisions.
Ability to identify, define, and solve complex computing and data-related problems using programming, algorithms, and analytical tools. Capability to apply classroom learning to real-world IT and data challenges.
Competence to investigate emerging technologies, analyze datasets, and conduct exploratory data research. Ability to use research methodologies and tools to generate insights and support innovation in the field of computing and data science.
Capability to effectively use programming languages, software tools, databases, and analytical platforms such as Python, R, SQL, Tableau, and Power BI for data handling, visualization, and problem-solving.
Ability to independently plan, execute, and manage projects in computing and data science. Capability to continuously upgrade technical skills and stay abreast of technological advancements.
Understanding of professional ethics, data privacy, and responsible use of technology. Ability to recognize and address ethical issues related to data handling, cybersecurity, and digital responsibility.
Ability to function effectively as a member or leader in multidisciplinary teams, demonstrating collaboration, adaptability, and respect for diverse perspectives in achieving project goals.
Commitment to continuous learning for personal and professional growth. Ability to adapt to emerging technologies, pursue higher education, and engage in skill enhancement throughout one’s career in the IT and data science domains.
COURSE ELIGIBILITY:
A candidate who has passed the two years Pre-University Examination conducted by the Pre- University Education Board in Karnataka a minimum of 35% of marks.
A candidate who has passed Three years Diploma in Engineering of Government of Karnataka or any other examination considered as equivalent thereto shall be eligible for admission with minimum of 35% of marks in aggregate in all the semester /years.
Any student who has passed PUC –II Science, Arts or Commerce other than Karnataka securing with a minimum of 35% of marks.
DURATION OF COURSE:
Durations of the undergraduate programme shall extend SIX semesters (Three academic years) for the regular Bachelor Degree.
Semester | Course Code |
Title of the Paper | Credits (L+P) | No.of Hours / Per Weak | Marks | Total Credits | |
| SEE | IA | ||||||
| I | Language-I | 3+0 | 4 | 80 | 20 | 24 | |
| English-I | 3+0 | 4 | 80 | 20 | |||
| DS1T1 | Fundamentals of Computers | 4+0 | 4 | 80 | 20 | ||
| DS1T2 | Programming in C | 4+0 | 4 | 80 | 20 | ||
| DS1T3 | Computational Discrete Mathematics | 4+0 | 4 | 80 | 20 | ||
| DS1P1 | Office Automation Lab | 0+2 | 4 | 40 | 10 | ||
| DS1P2 | C Programming Lab | 0+2 | 4 | 40 | 10 | ||
| Constitutional Values-I | 2+0 | 2 | 40 | 10 | |||
| II | Language-II | 3+0 | 4 | 80 | 20 | 24 | |
| English-II | 3+0 | 4 | 80 | 20 | |||
| DS2T1 | Data Structures Using C | 4+0 | 4 | 80 | 20 | ||
| DS2T2 | Statistical Methods using R Programming | 4+0 | 4 | 80 | 20 | ||
| DS2T3 | Operating System Concepts | 4+0 | 4 | 80 | 20 | ||
| DS2P1 | Data Structures Lab | 0+2 | 4 | 40 | 10 | ||
| DS2P2 | R Programming Lab | 0+2 | 4 | 40 | 10 | ||
| Constitutional Values-II | 2+0 | 2 | 40 | 10 | |||
| Semester | Course Code | Title of the Paper | Credits (L+P) | No. of Teaching Hours / Per Week | Marks | Total Credits | |
| SEE | IA | ||||||
| III | Language-III | 3+0 | 4 | 80 | 20 | 26 | |
| English-III | 3+0 | 4 | 80 | 20 | |||
| DS3T1 | Object Oriented Concepts using JAVA | 4+0 | 4 | 80 | 20 | ||
| DS3T2 | Database Management Systems | 4+0 | 4 | 80 | 20 | ||
| DS3T3 | Fundamentals of Data Science | 4+0 | 4 | 80 | 20 | ||
| DS3P1 | Java Programming Lab | 0+2 | 4 | 40 | 10 | ||
| DS3P2 | DBMS Lab | 0+2 | 4 | 40 | 10 | ||
| SEC1 | Shell Programming Lab | 0+2 | 4 | 40 | 10 | ||
| DSE1 | Internet of Things / Cloud Computing | 2+0 | 2 | 40 | 10 | ||
| IV | Language-IV | 3+0 | 4 | 80 | 20 | 26 | |
| English-IV | 3+0 | 4 | 80 | 20 | |||
| DS4T1 | Python Programming | 4+0 | 4 | 80 | 20 | ||
| DS4T2 | Artificial Intelligence & Applications | 4+0 | 4 | 80 | 20 | ||
| DS4T3 | Data Visualization | 4+0 | 4 | 80 | 20 | ||
| DS4P1 | Python Programming Lab | 0+2 | 4 | 40 | 10 | ||
| DS4P2 | Artificial Intelligence Lab using Python | 0+2 | 4 | 40 | 10 | ||
| CMVII | Constitutional Moral Values-II | 2+0 | 2 | 40 | 10 | ||
| DSE2 | Machine Learning / Data and Information Security | 2+0 | 2 | 40 | 10 | ||
