BCA in Data Science &
Cyber Security
Conveying information on the principles of data analysis, data mining, data manipulation and machine learning.
ADMISSION ENQUIRY
Course Fee
Scholarship
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BCA in Data Science & Cyber Security
It is an innovative program that focuses on two of the most critical areas in modern computing: data-driven decision-making and digital security. The program equips students with essential knowledge in data analysis, statistical modelling, big data technologies, and cybersecurity principles. This program prepares students to understand data collection, analyze and interpret large volumes of data, and develop the skills needed to protect digital systems and information from cyber threats. As organizations increasingly rely on data and secure digital infrastructures, this program prepares students for exciting careers as data scientists, cybersecurity analysts, security consultants, and data engineers. The curriculum emphasizes practical learning, industry exposure, and problem-solving skills to meet the growing demands of the global technology industry.
https://www.youtube.com/watch?v=KrlB3TVpX5A
Objectives
- Build a strong foundation in computer science, data analysis, and information security.
- Learn data science techniques like data mining, statistical analysis, and visualisation.
- Develop skills in cybersecurity, including network security, ethical hacking, and digital forensics.
- Enhance analytical and problem-solving abilities through real-world applications.
- Prepare for careers and higher studies in data science, cybersecurity, and the global IT industry.
Course Fee
Tution fees of the Academic Session 2026-2030
| Fees Details | Amount |
|---|---|
| INSTALLMENT 1 (on the day of admission) | ₹ 45,000 |
| INSTALLMENT 2 (1st Nov. 2026) | ₹ 45,000 |
| INSTALLMENT 3 (1st May. 2027) | ₹ 45,000 |
| INSTALLMENT 4 (1st NOV. 2027) | ₹ 45,000 |
| INSTALLMENT 5 (1st May. 2028) | ₹ 45,000 |
| INSTALLMENT 6 (1st Nov. 2028) | ₹ 45,000 |
| INSTALLMENT 7 (1st May. 2029) | ₹ 45,000 |
| INSTALLMENT 8 (1st Nov. 2029) | ₹ 45,000 |
| TOTAL | ₹ 3,60,000 |
ONE TIME PAYMENTS
(To be paid at the time of admission along with 1st semester Fees)
| Fees Details | Amount |
|---|---|
| Admission Fees | ₹ 45,000 |
| Activity Fees | ₹ 5,000 |
| Student Welfare & Development Fees | ₹ 10,000 |
| Interest free Security Deposit (Refundable) | ₹ 10,000 |
| Total | ₹ 70,000 |
| Fees payable at the time of Admission (Which includes first semester fees) | ₹ 1,15,000 |
| Total Course Fees for 4 Years (Excluding Security Deposit) | ₹ 4,20,000 |
Course Fee
Consult our counsellor for complete information regarding our fee structure.
Enquire NowScholarship
At Inspiria, we believe in rewarding the hard work and excellence achieved by meritorious students in their academic endeavors. As part of Wings Scholarship Program, we are giving out scholarship for
(BCA in Data Science & Cyber Security)
| Score in Class 12 | Scholarship |
|---|---|
| Between 80% to 90% | 20% |
| Above 90% | 30% |
Course Module
1st Semester- IT Service Management (ITSM)
- AI for Everyone: Prompt Engg. & LLMs *
- AI for Everyone: Prompt Engg. & LLMs * – Lab
- Programming for Problem Solving (C)
- Programming for Problem Solving (C) – Lab
- English for Communication
- Indian Knowledge System
- Soft Computing
- Soft Computing
- Data Structures and Algorithms
- Data Structures and Algorithms – Lab
- Exploratory Data Analysis (Python) *
- Exploratory Data Analysis (Python) * – Lab
- Cyber Hygiene & Digital Forensics *
- Constitution of India
- Health & Wellness / Yoga
- Basics of Data Analytics using a Spreadsheet
- Basics of Data Analytics using a Spreadsheet
- Database Management Systems
- Database Management Systems – Lab
- Machine Learning: Theory & Practice *
- Machine Learning: Theory & Practice * – Lab
- Network Defense & Ethical Hacking *
- Data Visualisation (Tableau/Power BI)
- Data Visualisation (Tableau/Power BI) Lab
- Environmental Science
- Operating Systems & Virtualisation
- Operating Systems & Virtualisation – Lab
- Big Data Engineering (Hadoop/Spark) *
- Big Data Engineering (Hadoop/Spark) * – Lab
- Web & Application Security *
- Big Data Analytics
- Environmental Science Lab/ Mathematics for Computing
- Applied MLOps (Data Science Ops)
- Applied MLOps (Data Science Ops) – Lab
- Cloud Security (Cyber Ops)
- Cloud Security (Cyber Ops) – Lab
Elective I: NLP / Malware Analysis / Statistics for Data Science
Elective I: NLP / Malware Analysis LAB/ Statistics for Data Science
- Cyber Laws, Privacy & Compliance
- Industrial Internship
- Deep Learning & GenAI Architectures
- Deep Learning & GenAI Architectures – Lab
- Incident Response & Threat Intel
- Network Security and Firewalls
- Project
- Research Methodology and IPR
- Adversarial Machine Learning
- Adversarial Machine Learning – Lab
- Research Dissertation / Internship
- AI-Driven Security Analytics
- AI-Driven Security Analytics Lab
- Final Research Dissertation / Internship
Top Placement
Salini Gupta
Times Now (Noida)
Trainee Reporter
2019-22
Rhittick Das
Ad Factors (Delhi)
Associate Account Executive (PR)
2018-21
Shoubhik Subham Ray
Firework.tv (Mumbai)
Sr. Content Creator & Editor
2017-20
What Others Say about Us
I really liked the presentations which students had prepared. I am very happy with the results and appreciate their hard work. I am sure they have a very bright future. I would also like to thank the mentors who guided them so well and honored that I was invited in the evaluation session. One feedback for the students, I observed during their presentation they were mostly saying "I did this..I did that etc." which might need to be pointed out for their future, They should be given a feedback that the project is a team work, and the success or failure should be presented as a team not individual work.
Mr. Proshanta SarkarBlockchain Engineer,Henkel, Germany
The over all subject understanding of the students of the department is quite impressive. The presentation skills of 2 Candidates were preety good from the Group I evaluated and one was poor as I have given in marksheet as well. The institution can have more of such presentations , group discussions and debate to improve the speaking & presentation skills of the candidates as there's always room for improvement. Lastly try to use the project made by the students in the college. It will encourage the future batches for such projects and will be a motivation for the faculty as well as the students. Thanks & Regards
Mr. Sayan SariaChief Executive Officer,Blue Minch
Thank you for the kind opportunity. The participants were good and certainly under your able mentorship they will be able to better prepare themselves for the industry and its future requirements. All the best for all the future endeavours.
Mr. Debangshu ChakrabortySenior Coordinator (R&D),Techno Developers Group
The interaction was pretty good. Students do understand the BASICS which is expected but need fine tuning, guidance or better mentorship in terms of their PPT topics. Happy with the session. Good Luck to them..!!!
Mr. Ajay SharmaCo-Founder & Director,Edufic Digital
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ScholarshipBCA in
Data Science & Cyber Security
ADMISSION ENQUIRY
Course Highlights
It is an innovative program that focuses on two of the most critical areas in modern computing: data-driven decision-making and digital security. The program equips students with essential knowledge in data analysis, statistical modelling, big data technologies, and cybersecurity principles. This program prepares students to understand data collection, analyze and interpret large volumes of data, and develop the skills needed to protect digital systems and information from cyber threats. As organizations increasingly rely on data and secure digital infrastructures, this program prepares students for exciting careers as data scientists, cybersecurity analysts, security consultants, and data engineers. The curriculum emphasizes practical learning, industry exposure, and problem-solving skills to meet the growing demands of the global technology industry.
- Course Duration
4 years
- Eligibility
10+2
Download Brochure
https://youtu.be/KrlB3TVpX5A
Objectives
- Build a strong foundation in computer science, data analysis, and information security.
- Learn data science techniques like data mining, statistical analysis, and visualisation.
- Develop skills in cybersecurity, including network security, ethical hacking, and digital forensics.
- Enhance analytical and problem-solving abilities through real-world applications.
- Prepare for careers and higher studies in data science, cybersecurity, and the global IT industry.
Academic Session 2026-2030
| Fees Details | Amount |
|---|---|
| INSTALLMENT 1 (on the day of admission) | ₹ 45,000 |
| INSTALLMENT 2 (1st Nov. 2026) | ₹ 45,000 |
| INSTALLMENT 3 (1st May. 2027) | ₹ 45,000 |
| INSTALLMENT 4 (1st NOV. 2027) | ₹ 45,000 |
| INSTALLMENT 5 (1st May. 2028) | ₹ 45,000 |
| INSTALLMENT 6 (1st Nov. 2028) | ₹ 45,000 |
| INSTALLMENT 7 (1st May. 2029) | ₹ 45,000 |
| INSTALLMENT 8 (1st Nov. 2029) | ₹ 45,000 |
| TOTAL | ₹ 3,60,000 |
One Time Payments
(To be paid at the time of admission along with 1st semester Fees)
| Fees Details | Amount |
|---|---|
| Admission Fees | ₹ 45,000 |
| Activity Fees | ₹ 5,000 |
| Student Welfare & Development Fees | ₹ 10,000 |
| Interest free Security Deposit (Refundable) | ₹ 10,000 |
| Total | ₹ 70,000 |
| Fees payable at the time of Admission (Which includes first semester fees) | ₹ 1,15,000 |
| Total Course Fees for 4 Years (Excluding Security Deposit) | ₹ 4,20,000 |
Course Module
1st Semester- IT Service Management (ITSM)
- AI for Everyone: Prompt Engg. & LLMs *
- AI for Everyone: Prompt Engg. & LLMs * – Lab
- Programming for Problem Solving (C)
- Programming for Problem Solving (C) – Lab
- English for Communication
- Indian Knowledge System
- Soft Computing
- Soft Computing
- Data Structures and Algorithms
- Data Structures and Algorithms – Lab
- Exploratory Data Analysis (Python) *
- Exploratory Data Analysis (Python) * – Lab
- Cyber Hygiene & Digital Forensics *
- Constitution of India
- Health & Wellness / Yoga
- Basics of Data Analytics using a Spreadsheet
- Basics of Data Analytics using a Spreadsheet
- Database Management Systems
- Database Management Systems – Lab
- Machine Learning: Theory & Practice *
- Machine Learning: Theory & Practice * – Lab
- Network Defense & Ethical Hacking *
- Data Visualisation (Tableau/Power BI)
- Data Visualisation (Tableau/Power BI) Lab
- Environmental Science
- Operating Systems & Virtualisation
- Operating Systems & Virtualisation – Lab
- Big Data Engineering (Hadoop/Spark) *
- Big Data Engineering (Hadoop/Spark) * – Lab
- Web & Application Security *
- Big Data Analytics
- Environmental Science Lab/
Mathematics for Computing
- Applied MLOps (Data Science Ops)
- Applied MLOps (Data Science Ops) – Lab
- Cloud Security (Cyber Ops)
- Cloud Security (Cyber Ops) – Lab
Elective I: NLP / Malware Analysis / Statistics for Data Science
Elective I: NLP / Malware Analysis / Statistics for Data Science
- Cyber Laws, Privacy & Compliance
- Industrial Internship
- Deep Learning & GenAI Architectures
- Deep Learning & GenAI Architectures – Lab
- Incident Response & Threat Intel
- Network Security and Firewalls
- Project
- Research Methodology and IPR
- Adversarial Machine Learning
- Adversarial Machine Learning – Lab
- Research Dissertation / Internship
- AI-Driven Security Analytics
- AI-Driven Security Analytics Lab
- Capstone Project
- Final Research Dissertation / Internship
Faculty
Our BCA faculty comprises industry-experienced professionals who blend academic rigor with real-world insights to shape future business leaders.




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