The BCA (Hons.) in Data Science and Cyber Security is designed for students seeking a strong computing foundation with specialization in two of the most sought-after domains in the digital economy. Students develop expertise in programming, databases, statistics, machine learning, data analytics, network security, cryptography, and cloud technologies while gaining hands-on experience with industry-standard tools and platforms.
The programme offers focused pathways in Data Science, covering predictive analytics, machine learning, data visualization, and MLOps, and Cyber Security, covering ethical hacking, digital forensics, threat intelligence, and secure system design. Through project-based learning, industry engagement, and practical problem-solving, students graduate prepared for technology careers as well as higher studies in MCA, M.Tech., and related fields.
Eligibility Criteria
Minimum 70% marks in 12th/PUC or equivalent examination from a recognised board.
Minimum 60% aggregate in Physics, Chemistry and Mathematics.
Chanakya Edge
- Strong foundation in programming, databases, statistics, networking, machine learning, and cyber security fundamentals.
Specialized pathways in Data Science and Cyber Security aligned with emerging industry requirements.
Emphasis on practical learning through real-world datasets, security labs, penetration testing exercises, and industry-relevant projects.
Limited memory-based assessments, with evaluation through case studies, analytics challenges, security audits, and capstone projects.
Ability Enhancement Courses (AECs) delivered by industry professionals focusing on current tools, workflows, and best practices.
Exposure to cloud platforms, MLOps pipelines, threat intelligence systems, and modern cyber defence frameworks.
Opportunities to pursue interdisciplinary learning through electives in Artificial Intelligence, Blockchain, Cloud Computing, and Business Analytics.
Strong pathway to advanced studies including MCA, M.Tech., and research-oriented programmes in computing and data sciences.
Programme Highlights
- PO1: To provide in-depth domain knowledge to learners
- PO2: To equip learners with problem-solving and programming Skills
- PO3: To train learners in developing software packages
- PO4: To make learners proficient in communication and presentation Skills
- PO5: To prepare the learners to become responsible citizens
Programme Structure
Code | Course Type | No.of Credits |
BS | Basic Science [3 courses of 3 credits each] | 09 |
SEC | Skill Enhancement Courses [12 courses of 4 credits each] | 48 |
PC | Professional Core** [13 courses of 3 credits each, 2 courses of 4 credits each and 1 course of 12 credits] | 59 |
PE | Professional Elective [4 courses of 3 credits each] | 12 |
MDE | Multi-Disciplinary Elective Course [8 courses of 4 credits each] | 32 |
TOTAL | 160 | |
** Professional Core includes Project Work (2 projects of 8 credits) and Internship or Research. The Internship or Research may be taken up in Semester VII / VIII. | ||
Collaborations
- Alstom
- SecureDApp
- Zoho
- Trivik Technologies
- FIDROX
- Redacto
- Growteq
- Tech Mahindra
- FalconFeeds.io
- Cultivate
Industry collaborations support internships, industry-led workshops, project mentorship, and exposure to real-world applications in data analytics, software systems, and cyber security.