School of Computer Science Engineering & Applications

B.Tech. Computer Science and Engineering

Program Overview

B.Tech program in Computer Science and Engineering at DYPIU is a four-year full-time course with innovative multi-track specialization options in emerging areas. This program has been designed after worldwide consultations with researchers as well as representatives from various universities, industries, and start-ups.

Programme Educational Objectives (PEOs)

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.

Programme Outcomes (PO)

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.
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

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

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
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

Semester IV

Applied Python for Computer Science
Data Communication & Computer Networks
Data Mining and Warehousing
Operating System
Digital Image Processing
Technology Management & Commercialization
Industrial Internship

Semester V

Foundations of Artificial Intelligence and Machine Learning
Advanced Probability & Statistics
Track Course 1
Track Course 2
Track Course 3

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
Rural Internship

Semester VII

Cloud Computing for Artificial Intelligence
AI Ethics
Track Course 6
Track Elective
Open Elective (Interdisciplinary)

Semester VIII

Research Methodology (AI/DS/CS/CC)
Capstone Project

Specialization Tracks

Upon completion of the fourth semester, students are required to select a specialized track consisting of a designated sequence of courses. To ensure an informed decision, the school provides comprehensive guidance and resources to assist students in aligning their choice with their career aspirations. The ten available specialization tracks are outlined below.

AI and Machine Learning

Data Science

Robotics and Artificial Intelligence

Intelligent Transport System and Logistics

IoT - Internet of Things

Cyber Security

FinTech (Financial Technology)

Bio-Informatics

Cloud Computing

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

B. Tech CSE 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

Scholarship

DYPIU also provides scholarship for meritorious students, if they satisfy the criteria defined by the university.

Examination	JEE or NEET or CBSE (PC+Third Subject)/Any State Board (PC+Third Subject) or MH-CET	% Scholarship as percentage of Tuition Fees	Number of Scholarship
Score range for Scholarship	All India Rank below 20000 or 98%(Percentile) (PC+Third Subject)	50%	5 for JEE or NEET or CBSE (PC+Third Subject) 5 for MH-CET
	All India Rank between 20000 to 50000 or 95%( Percentile) (PC+Third Subject)	25%	10 for JEE or NEET or CBSE (PC+Third Subject) 10 for MH-CET
	All India Rank between 50000 to 100000 or 90%( Percentile) (PC+Third Subject)	15%	25 for JEE or NEET or CBSE (PC+Third Subject) 25 for MH-CET

Note

We will disclose the policy for awarding Scholarship to MH-CET after declaration of the Result.
Scholarship scheme may be transferable across the seats amongst the remaining category with approval from the Vice Chancellor’s office.
All benefited students should pay full fees during the time of admission.However Scholarship fees will be refunded during Semester.

FAQ's

Yes. In line with industry trends, we offer specialized tracks including:

Artificial Intelligence and Machine Learning
Cloud Computing
Cybersecurity
Data Science

As per our academic structure, students typically choose their specialization track after the 4th semester. This allows students to build a strong foundation in core computer science before narrowing their focus.

Absolutely. Our program is NEP 2020 aligned and frequently updated in collaboration with industry partners. We focus on application-oriented skills, logical reasoning, and modern software practices.

Dedicated placement cell that facilitates internships and final placements with top-tier IT companies, research labs, and startups.

We provide high-end computer labs equipped with the latest software, high-speed connectivity, and specialized hardware for projects in IoT, Robotics, and Quantum Computing.

Yes. We encourage research-driven learning. Students can work with faculty on projects related to computational mathematics, algorithm design, and national missions (such as those under DST or MeitY).

To ensure a high-quality collaborative environment, tracks are conducted subject to a minimum enrollment threshold. If a track does not meet this number, students will be guided by faculty to choose their next best alternative.

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 needs to follow the process below:

Registration and Admission Form:
- 1. Fill the application form available online at www.dypiu.ac.in and submit by paying Registration fees Rs. 1000/- (Non-Refundable).
- 2. The application form can also be obtained from the admission cell of DYPIU by paying non-refundable fees Rs. 1000/-.
Fees:
- 1. Deposit the fees and collect the receipt.
Admission Confirmation:
1. Admission Letter will be issued with PRN No.
ERP Registration:
- 1. Download the COLLPOLL app on mobile.
- 2. The official ID will be generated for each valid candidate and login credentials will be provided to the student.
- 3. Login credentials for ERP (Coll Poll) will be sent to the official email ID.
- 4. Login to the ERP account, fill the ERP form, and note the Application Number for future reference.

You may contact the admission section for special cases.

The details of documents will be available on the “Provisional Admission Mail” sent to you.

No.

Yes, we provide scholarships for meritorious students.

S. No	Percentage of Refund	Point of Time
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	0%	More than 30 days after formally-notified last date of admission