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School of Computer Science Engineering & Applications

B.Tech. - CSE (Cyber Security & Forensic) - in association with IBM
Program Overview

The B.Tech (CSE) Program is a four-year undergraduate degree designed to combine strong computer science foundations with industry-aligned technologies powered by IBM. The program emphasizes experiential learning, enterprise tools, and real-world problem solving.

Unique Features

Program Focuses on securing information systems, network defence, threat analysis, and digital investigation

Focus: Securing digital infrastructure and investigating cyber threats.

Key Learning Areas
  • Ethical Hacking
  • Cryptography
  • Digital Forensics
  • Malware Analysis
  • Cloud & Network Security
IBM Integration
  • IBM QRadar (SIEM)
  • Security monitoring and compliance on IBM Cloud
Core Tools
  • Kali Linux, Wireshark, Metasploit, Autopsy
Capstone
  • Simulated incident response, security audits, and compliance projects.
Program Objectives
  • To prepare globally competent graduates having strong fundamentals and domain knowledge to provide effective solutions
  • To prepare committed and motivated graduates with research attitude, lifelong learning, investigative approach, and multidisciplinary thinking
  • To prepare the graduates with strong managerial and communication skills to work effectively as individuals as well as in teams
  • To prepare the graduates to work as committed professionals with strong professional ethics and values, sense of responsibilities, understanding of legal, safety, health, societal, cultural and environmental issues
Program Outcomes

After successful completion of Bachelors of Technology in Computer Science Engineering, the graduates are able:

  • PO1 – Computing Knowledge:To apply knowledge of mathematics, science, engineering fundamentals, problem solving skills, algorithmic analysis to solve complex engineering problems.
  • PO2 – Problem Analysis: To analyze the problem by finding its domain and applying domain specific skills.
  • PO3 – Design and Development: To understand the design issues of the product/software and develop effective solutions with appropriate consideration of public health and safety, cultural, societal, and environmental issues.
  • PO4 – Conduct Investigations of Complex Computing Problems: To find solutions of complex problems by conducting investigations applying suitable techniques.
  • PO5 – Modern Tool Usage: To adapt the usage of modern tools and recent software and to contribute towards society by understanding the impact of Engineering on the global aspect.
  • PO6 – Professional Ethics: To understand environment issues and design a sustainable system.
  • PO7 – Communication Skills: To understand and follow professional ethics.
  • PO8 – Individual and Team Work: To function effectively as an individual and as a member or leader in diverse teams and interdisciplinary settings.
  • PO9 – Lifelong Learning: To demonstrate effective communication at various levels.
  • PO10 – Societal and Environmental Concern: To apply the knowledge of Computer Engineering for development of projects, and its finance and management.
  • PO11 – Project Management and Finance: To keep in touch with current technologies and inculcate the practices of lifelong learning.
  • PO12 – Innovation and Entrepreneurship: Demonstrate innovation in designing software applications and exhibit entrepreneurial skills to contribute to the growth of the IT industry.
Course Structure
Semester I
  • Applied Computational Mathematics
  • Basic Electrical and Electronics Engineering
  • Modern Computer Hardware
  • Data Structures using C
  • Fundamentals Web Technologies
  • IKS- Indian Science, Engineering & Technology
  • Network Security & Cryptography, Ethical Hacking & Penetration Testing, Operating System Security
Semester II
  • Discrete Mathematics for Computer Science
  • Computer Organization & Architecture
  • Digital Logic Design
  • Object-Oriented Paradigm using C++
  • Design Thinking & Project
  • Universal Human Values & Ethics
  • Cryptography implementation using industry-grade tools; basics of IBM QRadar (SIEM)
  • Rural Internship
Semester III
  • Design and Analysis of Algorithms
  • Object Oriented Technology using Java
  • Relational Database Management System
  • Modern Software Engineering and Testing
  • Embedded Systems Design & Development
  • Digital Forensics, Security Information and Event Management (SIEM), Malware Analysis, Web & Application Security
Semester IV
  • Applied Python for Computer Science
  • Data Communication & Computer Networks
  • Data Mining and Warehousing
  • Operating System
  • Digital Image Processing
  • Digital Forensics tools, Threat Intelligence platforms, Security Operations Center (SOC) procedures
  • Industrial Internship
Semester V
  • Foundations of Artificial Intelligence and Machine Learning
  • Advanced Probability & Statistics
  • Track Course 1
  • Track Course 2
  • Track Course 3
  • Cloud Security, Incident Response & Disaster Recovery, Advanced Cyber Forensics, IoT Security
Semester VI
  • Low-Code/No-Code Development & Automation
  • Linear Algebra for Machine Learning
  • Track Course 4
  • Track Course 5
  • Environment and Sustainable Development (ESD)
  • Track Elective, Securing workloads on IBM Cloud, managing security posture, compliance and governance
  • Rural Internship
Semester VII
  • Cloud Computing for Artificial Intelligence
  • AI Ethics
  • Track Course 6
  • Track Elective
  • Open Elective (Interdisciplinary)
  • Electives (e.g., Blockchain Security, Cyber Law), Internship/Work Integrated Learning
Semester VIII
  • Simulated incident response, security audit, and compliance project using enterprise tools
  • Research Methodology (AI/DS/CS/CC)
  • Capstone Project

*The commencement of any specialization track is subject to a minimum required enrolment, the university reserves the right to offer tracks based on student registration numbers.

Specialization Tracks

After the 3rd semester, the student has to choose the specialization track in which they have to do 9 courses in a sequence. We will aid the student in choosing the specialization track by providing them with all the information needed. Below are the ten specialization tracks.

Des
AI and Machine Learning
Des
Data Science
Des
Robotics and AI
Des
Intelligent Transport System and Logistics
Des
IoT - Internet of Things
Des
Cyber Security
Des
FinTech (Financial Technology)
Des
Bio-Informatics
Des
Cloud Computing
Des
Web and Mobile Application

Track Core subjects for Artificial intelligence, Data science, Robotics, Internet of things and Cyber security.

Track Elective AI & ML Data Science Robotics & AI Internet of things(IOT) Cyber Security
TC1 Fundamentals of AI and
Machine Learning		 Fundamentals of AI and
Machine Learning		 Fundamentals of AI and
Machine Learning		 Fundamentals of AI and
Machine Learning		 Fundamentals of AI and
Machine Learning
TC2 Data Science Data Science Principle of Robotics Fundamentals of IoT Fundamentals of
Cyber security
TC3 Deep Neural Networks Deep Neural Networks Deep Neural Networks Deep Neural Networks Deep Neural Networks
TC4 Game Theory Big Data Analysis Sensors and Actuators Architecture and Protocol System software Security
TC5 High performance computing Knowledge discovery & data mining High performance computing Security in IoT Computer Forensics
TC6 AI Processors and Architecture Data Visualization Machine Vision systems Power Management
in IoT devices		 Internet security and
Malware analysis
TC7 AI application and Ethics AI application and Ethics Modelling and Simulation Software application
development in IoT		 Cyber laws and
security threat management
TC8 Advance AI Advance DS Advanced Robotics(SLAM,
Expressive robotics)		 Advanced IoT Advanced Cyber Security

Track Core subjects for FinTech, Cloud computing, Web and Mobile, Bioinformatics and Intelligent Transport systems

Track Elective FinTech Cloud & System Administration Web and Mobile Applications Bio-Informatics Intelligent Transport system & Logistics
TC1 Fundamentals of AI and
Machine Learning		 Fundamentals of AI and
Machine Learning		 Fundamentals of AI and
Machine Learning		 Fundamentals of AI and
Machine Learning		 Fundamentals of AI and
Machine Learning
TC2 Introduction to FinTech Fundamentals of Cloud Fundamentals of
Web and Mobile		 Cell and Molecular biology Introduction intelligent
Transport system
TC3 Deep Neural Networks Deep Neural Networks Deep Neural Networks Deep Neural Networks Deep Neural Networks
TC4 Blockchain system Blockchain system Mobile Apps:
Android and iOS		 Molecular genetics
and engineering		 Traffic and Highway Engineering
TC5 Statistics for AI and Finance Cloud architecture and protocol UI/UX Design Genomics and Proteomics Logistics supply chain
and Fleet management
TC6 Cryptocurrency Networking & Security Networking & Security Biotechnology tools
and Techniques		 Human Computer Interaction
TC7 FinTech Security Distributed Computing Web Design Mathematical modelling
and system biology		 Transport system
software and analytics
TC8 Advanced FinTech
(payment system)		 Docker and Kubernetes AR/VR/3D and Gaming Advanced Biology Research Advanced Autonomous Vehicles

 

Eligibility Criteria

Duration - 4 years

Qualifying Examination:
  • Passed 10+2 examination with Physics & Mathematics AND one of the subjects from the following:
  • Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology / Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship
  • Obtained at least 50% marks (45% in case of candidates belonging to reserved category) in the above subjects taken together
  • In addition to this, the applicant must have qualified at least one engineering entrance examination like MHT-CET 2026/JEE 2026/Other State or National Level Engineering Entrance Exam of 2026 / PERA 2026 / Entrance Test Conducted by DYPIU
  • Candidates are selected based on entrance test score and merit.
Fee Structure:
  • Tuition fee - Rs. 1,30,000/- per semester
  • Registration fee - Rs. 2,500/- per semester
  • Caution Deposit - Rs. 10,000/- (refundable at the end of the program)

*Semester fees may change as per approval from Fee Fixation Committee

FAQ's

This means the curriculum is co-designed and co-delivered by IBM experts. Unlike a standard degree, this program integrates IBM’s industry-standard software, case studies, and professional certifications directly into your four-year academic journey.

Yes. Upon successful completion of specific modules, students receive digital badges and certificates from IBM that are recognized globally. This is in addition to the B.Tech degree awarded by the University.

While a standard CSE degree covers general software and hardware, this program specializes in Digital Security and Investigative Techniques. By partnering with IBM, we integrate industry-standard tools, real-world case studies, and a curriculum that evolves with the current threat landscape.

The collaboration provides several high-value advantages:

  • Curriculum Co-design: Courses are updated to reflect IBM’s industry insights.
  • IBM Software Access: Students get hands-on experience with professional security tools (like IBM QRadar)
  • Certificates: Students receive digital badges or certificates from IBM upon completing specific modules, significantly boosting their resumes.
  • Expert Sessions: Occasional guest lectures and webinars from IBM industry experts.

Digital Forensics is the process of uncovering and interpreting electronic data. The goal is to preserve any evidence in its most original form while performing a structured investigation by collecting, identifying, and validating digital information to reconstruct past events.

Beyond the core CSE subjects (Data Structures, OS, DBMS), students will dive into:

  • Ethical Hacking & Penetration Testing
  • Cyber Laws and Intellectual Property Rights (IPR)
  • Incident Response and Investigation
  • Network and Mobile Security
  • Applied Cryptography

Graduates are prepared for high-demand roles, including:

  • Cyber Security Analyst
  • Digital Forensic Examiner
  • Security Architect
  • Incident Response Manager
  • Ethical Hacker / Vulnerability Researcher

Yes, there is a global shortage of cybersecurity experts. With the rise of digital banking, e-commerce, and remote work, every major corporation (from Google and Amazon to Government Intelligence agencies) requires specialized teams to protect their data and investigate breaches.

Students have access to specialized Cybersecurity Labs equipped with tools for network monitoring, malware analysis, and forensic imaging. The labs are designed to simulate real-world cyber-attack scenarios in a controlled, "sandbox" environment.

Absolutely. The program is NEP 2020 aligned, emphasizing research-driven learning. The mathematical rigor and theoretical foundations provided make students excellent candidates for advanced research in areas like Quantum Computing security or AI-driven threat detection.

Fill the application form available online at www.dypiu.ac.in and submit by paying Registration fees Rs. 1000/- (Non- Refundable)

A student seeking admission in any course of DYPIU, Akurdi, Pune need to follow the process as below:

  • 1. Registration and Admission Form :
  • Fill the application form available online at www.dypiu.ac.in and submit by paying Registration fees Rs. 1000/- (Non- Refundable).
  • The application form can be obtained from the admission cell of the DYPIU by paying non-refundable fees Rs. 1000/-
  • 2. Fees:
  • Deposit the fees and collect the receipt.
  • 3. Admission Confirmation: Admission Letter will be issued with PRN No.

You may contact the admission section for the special cases.

The details of documents will be available on “Provisional admission mail” sent to you.

No

Yes we provide Scholarship for meritorious students.

S. No Percentage of Refund of fees* Point of time when notice of withdrawal of admission is received in the HEI

1

100%

15 days or more before the formally-notified last date of admission

2

90%

Less than 15 days before the formally notified last date of admission

3

80%

15 days or less after the formally-notified last date of admission

4

50%

30 days or less, but more than 15 days, after formally-notified last date of admission

5

00%

More than 30 days after formally-notified last date of admission

For cancellation of admission please mail to - cancellation@dypiu.ac.in

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