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School of Computer Science Engineering & Applications

B.Tech (AI & ML) - 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

Integration of advance algorithms, numerical methods, optimization techniques, probability models, and IBM-led enterprise technology practices

Focus: Intelligent systems, data-driven modelling, and cognitive computing.

Key Learning Areas
  • Artificial Intelligence Fundamentals
  • Machine Learning & Deep Learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • Generative AI
IBM Integration
  • IBM Watson Studio
  • IBM watsonx
  • IBM Cloud
Core Tools
  • Python, TensorFlow, PyTorch, Apache Spark
Capstone
  • Industry-oriented AI/ML project addressing real-world business problems.
Course Structure

First two years would be common curriculum for all, courses for which can be found below.

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
  • Fundamentals of AI, Machine Learning (Theory & Practice), Linear Algebra for ML
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
  • IBM Watson Studio fundamentals, hands-on labs with Python/Jupyter notebooks
  • 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
  • Deep Learning (Neural Networks, CNNs, RNNs), Natural Language Processing, Big Data Analytics
Semester IV
  • Applied Python for Computer Science
  • Data Communication & Computer Networks
  • Data Mining and Warehousing
  • Operating System
  • Digital Image Processing
  • IBM Watson Discovery/Assistant, Cloud-based deep learning environments
  • Industrial Internship
Semester V
  • Foundations of Artificial Intelligence and Machine Learning
  • Advanced Probability & Statistics
  • Track Course 1 (TC1)
  • Track Course 2 (TC2)
  • Track Course 3 (TC3)
Semester VI
  • Low-Code/No-Code Development & Automation
  • Linear Algebra for Machine Learning
  • Track Course 4 (TC4)
  • Track Course 5 (TC5)
  • Environment and Sustainable Development (ESD)
Semester VII
  • Cloud Computing for Artificial Intelligence
  • AI Ethics
  • Track Course 6 (TC6)
  • Track Elective
  • Open Elective (Interdisciplinary)
  • TensorFlow, PyTorch, IBM Watson, IBM Cloud, Apache Spark
Semester VIII
  • AI/ML techniques to real-world business problems
  • Research Methodology (AI/DS/CS/CC)
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. 1,50,000/- 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 you cover all the core computer science subjects (like Operating Systems and Data Structures), the "Specialization" credits are replaced with IBM-curated content focusing on:

1. Registration and Admission Form :
  • Machine Learning Frameworks
  • Deep Learning & Neural Networks
  • Data Visualization & Predictive Analysis
  • Applied AI in Robotics and IoT
2. Fees
  • Deposit the fees and collect the receipt.
3. Admission Confirmation: Admission Letter will be issued with PRN No.
4. ERP Registration
  • Download the COLLPOLL app on mobile.
  • The official ID will be generated for each valid candidate and login credentials will be provided to the student.
  • On official mail id student will receive login credentials for ERP (Coll Poll)
  • Login ERP account and fill the ERP form and note the Application Number for future reference.

Absolutely. Students get access to the IBM Cloud Pak for Data, Watson AI, and other enterprise-grade tools. This ensures you are learning on the same platforms used by Fortune 500 companies.

By 2026, the demand for AI professionals has grown exponentially. Graduates can pursue roles such as:

  • AI Engineer / ML Architect.
  • Data Scientist.
  • Business Intelligence Developer
  • NLP (Natural Language Processing) Specialist.
  • Big Data Engineer.

The association facilitates access to IBM’s ecosystem, including potential project mentorships, hackathons, and internship portals. Students often work on "industry-use cases" provided directly by IBM partners.

Yes. Aligned with NEP 2020, the program encourages research-driven learning. Students are encouraged to publish papers in AI/ML domains, often using the advanced computational resources provided through the IBM collaboration.

These modules are taught through a blended learning model:

  • Subject Matter Experts (SMEs) from IBM provide masterclasses and industry insights.
  • University Faculty who have been trained and certified by IBM (Train-the-Trainer program) handle the day-to-day instruction.
  • Business Intelligence Developer

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

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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Prospectus